FN Thomson Reuters Web of Science™
VR 1.0
PT J
AU Yang, GC
   Li, G
   Li, CY
   Zhao, YH
   Zhang, J
   Liu, T
   Chen, DZ
   Huang, MH
AF Yang, Guan-Can
   Li, Gang
   Li, Chun-Ya
   Zhao, Yun-Hua
   Zhang, Jing
   Liu, Tong
   Chen, Dar-Zen
   Huang, Mu-Hsuan
TI Using the comprehensive patent citation network (CPC) to evaluate patent
   value
SO SCIENTOMETRICS
LA English
DT Article
DE Comprehensive patent citation (CPC); Multiple relationships; Patent
   value evaluation; Relational algebra algorithm
ID COCITATION ANALYSIS; INDICATORS; INNOVATION; FREQUENCY; STRENGTH;
   SCIENCE; RIGHTS
AB Most approaches to patent citation network analysis are based on single-patent direct citation relation, which is an incomplete understanding of the nature of knowledge flow between patent pairs, which are incapable of objectively evaluating patent value. In this paper, four types of patent citation networks (direct citation, indirect citation, coupling and co-citation networks) are combined, filtered and recomposed based on relational algebra. Then, a method based on comprehensive patent citation (CPC) network for patent value evaluation is proposed, and empirical study of optical disk technology related patents has been conducted based on this method. The empirical study was carried out in two steps: observation of network characteristics over the entire process (citation time lag and topological and graphics characteristics), and measurement verification by independent proxies of patent value (patent family and patent duration). Our results show that the CPC network retains the advantages of patent direct citation, and performs better on topological structure, graphics features, centrality distribution, citation lag and sensitivity than a direct citation network; The verified results by the patent family and maintenance show that the proposed method covers more valuable patents than the traditional method.
C1 [Yang, Guan-Can; Zhao, Yun-Hua; Zhang, Jing] Inst Sci & Tech Informat China, Beijing 100038, Peoples R China.
   [Li, Gang; Li, Chun-Ya] Wuhan Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
   [Liu, Tong] Beijing Comp Ctr, Beijing, Peoples R China.
   [Chen, Dar-Zen] Natl Taiwan Univ, Dept Mech Engn, Taipei 10617, Taiwan.
   [Chen, Dar-Zen] Natl Taiwan Univ, Inst Ind Engn, Taipei 10617, Taiwan.
   [Huang, Mu-Hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10764, Taiwan.
RP Chen, DZ (reprint author), Natl Taiwan Univ, Dept Mech Engn, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
EM dzchen@ntu.edu.tw
RI guancan, yang/I-5791-2013
OI guancan, yang/0000-0002-1706-1884
FU National Natural Science Foundations of China (NSFC) [71273196,
   71403256, 71303023]; National Key Technology R&D Program of China
   [2013BAH21B00]
FX We are indebted to Mao Jin for helpful discussions and several
   constructive proposals. This research is supported by National Natural
   Science Foundations of China (NSFC Grant Nos. 71273196; 71403256 and
   71303023), and this research was also supported by National Key
   Technology R&D Program of China (Grant No. 2013BAH21B00).
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NR 53
TC 0
Z9 0
U1 38
U2 38
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2015
VL 105
IS 3
BP 1319
EP 1346
DI 10.1007/s11192-015-1763-7
PG 28
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CW6TG
UT WOS:000365130100001
ER

PT J
AU Thijs, B
   Zhang, L
   Glanzel, W
AF Thijs, Bart
   Zhang, Lin
   Glanzel, Wolfgang
TI Bibliographic coupling and hierarchical clustering for the validation
   and improvement of subject-classification schemes
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliographic coupling; Journal clustering; Second order similarities;
   Subject classification
ID SCIENTIFIC JOURNALS; SCIENCE
AB An attempt is made to cluster journals from the complete Web of Science database by using bibliographic coupling similarities. Since the sparseness of the underlying similarity matrix proved inappropriate for this exercise, second-order similarities have been used. Only 0.12 % out of 8282 journals had to be removed from the classification as being singletons. The quality at three hierarchical levels with 6, 14 and 24 clusters substantiated the applicability of this method. Cluster labelling was made on the basis of the about 70 subfields of the Leuven-Budapest subject-classification scheme that also allowed the comparison with the existing two-level journal classification system developed in Leuven. The further comparison with the 22 field classification system of the Essential Science Indicators does, however, reveal larger deviations.
C1 [Thijs, Bart; Zhang, Lin; Glanzel, Wolfgang] Katholieke Univ Leuven, Dept MSI, ECOOM, Louvain, Belgium.
   [Zhang, Lin] North China Univ Water Conservancy & Elect Power, Dept Management & Econ, Zhengzhou, Peoples R China.
   [Glanzel, Wolfgang] Lib Hungarian Acad Sci, Dept Sci Policy & Scientometr, Budapest, Hungary.
RP Thijs, B (reprint author), Katholieke Univ Leuven, Dept MSI, ECOOM, Louvain, Belgium.
EM Bart.Thijs@econ.kuleuven.be
RI Thijs, Bart/C-2995-2008; Glanzel, Wolfgang/A-6280-2008
OI Thijs, Bart/0000-0003-0446-8332; Glanzel, Wolfgang/0000-0001-7529-5198
FU National Natural Science Foundation of China [71103064]
FX This is a revised and extended version of a paper presented at the 14th
   International Conference on Scientometrics and Informetrics, Vienna,
   Austria, 15-19 July 2013 (Thijs et al. 2013b). The authors wish to thank
   the reviewers for their comments which helped us to improve and extend
   the paper. Lin Zhang acknowledges the support from the National Natural
   Science Foundation of China under Grant 71103064.
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NR 19
TC 0
Z9 0
U1 14
U2 14
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2015
VL 105
IS 3
BP 1453
EP 1467
DI 10.1007/s11192-015-1641-3
PG 15
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CW6TG
UT WOS:000365130100006
ER

PT J
AU Smith, CH
   Georges, P
   Nguyen, N
AF Smith, Charles H.
   Georges, Patrick
   Ngoc Nguyen
TI Statistical tests for 'related records' search results
SO SCIENTOMETRICS
LA English
DT Article
DE Citation analysis; Bibliographic coupling; Binomial index of dispersion;
   Centralized cosine measure; Related records; Statistical measures
AB Related records searching, now a common option within bibliographic databases, is applied to an individual result record as a secondary way of refining the retrieval set obtained from the primary subject search operation. In one approach, an individual result record is linked to other article records on the basis of the number of references cited they share in common, the theory being that two articles that cite many of the same sources are likely to be highly similar in subject content. Results of the secondary search are usually displayed in the order of each item's actual number of commonly-shared references. In the present paper we suggest an improved way of ranking the results, employing statistical significance tests. We suggest two approaches, one involving a statistical test previously unknown in bibliometric circles, the binomial index of dispersion, and the other employing the more familiar centralized cosine measure; these turn out to produce nearly identical results. An example demonstrating the application of these measures, and contrasting such with the use of raw totals, is provided. In the example the results rankings are found to be only modestly (positively) correlated, suggesting that much information is lost to the user when raw totals alone are made the basis for ordering results.
C1 [Smith, Charles H.] Western Kentucky Univ, Univ Lib, Bowling Green, KY 42101 USA.
   [Georges, Patrick] Univ Ottawa, Grad Sch Publ & Int Affairs, Ottawa, ON K1N 6N5, Canada.
   [Ngoc Nguyen] Western Kentucky Univ, Dept Math, Bowling Green, KY 42101 USA.
RP Smith, CH (reprint author), Western Kentucky Univ, Univ Lib, 1906 Coll Hts Blvd, Bowling Green, KY 42101 USA.
EM charles.smith@wku.edu; pgeorges@uottawa.ca; ngoc.nguyen@wku.edu
CR Bassanezi RB, 2003, PHYTOPATHOLOGY, V93, P502, DOI 10.1094/PHYTO.2003.93.4.502
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NR 25
TC 0
Z9 0
U1 10
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2015
VL 105
IS 3
BP 1665
EP 1677
DI 10.1007/s11192-015-1610-x
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CW6TG
UT WOS:000365130100015
ER

PT J
AU Chang, YW
   Huang, MH
   Lin, CW
AF Chang, Yu-Wei
   Huang, Mu-Hsuan
   Lin, Chiao-Wen
TI Evolution of research subjects in library and information science based
   on keyword, bibliographical coupling, and co-citation analyses
SO SCIENTOMETRICS
LA English
DT Article
DE Library and information science; Keyword analysis; Bibliographical
   coupling; Co-citation
ID RESEARCH FRONT; AUTHOR COCITATION; JOURNAL ARTICLES; CITATION;
   RETRIEVAL; NETWORKS
AB This study involved using three methods, namely keyword, bibliographic coupling, and co-citation analyses, for tracking the changes of research subjects in library and information science (LIS) during 4 periods (5 years each) between 1995 and 2014. We examined 580 highly cited LIS articles, and the results revealed that the two subjects "information seeking (IS) and information retrieval (IR)" and "bibliometrics" appeared in all 4 phases. However, a decreasing trend was observed in the percentage of articles related to IS and IR, whereas an increasing trend was identified in the percentage of articles focusing on bibliometrics. Particularly, in the 3rd phase (2005-2009), the proportion of articles on bibliometrics exceeded 80 %, indicating that bibliometrics became predominant. Combining various methods to explore research trends in certain disciplines facilitates a deeper understanding for researchers of the development of disciplines.
C1 [Chang, Yu-Wei; Huang, Mu-Hsuan; Lin, Chiao-Wen] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10764, Taiwan.
RP Huang, MH (reprint author), Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10764, Taiwan.
EM mhhuang@ntu.edu.tw
OI Chang, Yu-Wei/0000-0002-6278-8273
CR Yan EJ, 2012, J AM SOC INF SCI TEC, V63, P1313, DOI 10.1002/asi.22680
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   Astrom F., 2002, EMERGING FRAMEWORKS, P185
   Chang H. W., 2004, U LIB J, V8, P76
   Chang Y. W., 2011, J ED MEDIA LIB SCI, V48, P347
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   Shi M. Y., 2002, STUDY LIB SCI TAIWAN
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   Tsai C. L., 2008, ACTA SOC OPHTHALMOLO, V47, P101
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NR 31
TC 0
Z9 0
U1 31
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2015
VL 105
IS 3
BP 2071
EP 2087
DI 10.1007/s11192-015-1762-8
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CW6TG
UT WOS:000365130100038
ER

PT J
AU Leydesdorff, L
AF Leydesdorff, Loet
TI Can intellectual processes in the sciences also be simulated? The
   anticipation and visualization of possible future states
SO SCIENTOMETRICS
LA English
DT Article
DE Anticipation; Simulation; Incursion; Hyper-incursion; Expectation
ID SELF-ORGANIZATION; COMMUNICATION; SYSTEMS; EXPECTATIONS; KNOWLEDGE;
   SOCIOLOGY; DYNAMICS; MODEL
AB Socio-cognitive action reproduces and changes both social and cognitive structures. The analytical distinction between these dimensions of structure provides us with richer models of scientific development. In this study, I assume that (1) social structures organize expectations into belief structures that can be attributed to individuals and communities; (2) expectations are specified in scholarly literature; and (3) intellectually the sciences (disciplines, specialties) tend to self-organize as systems of rationalized expectations. Whereas social organizations remain localized, academic writings can circulate, and expectations can be stabilized and globalized using symbolically generalized codes of communication. The intellectual restructuring, however, remains latent as a second-order dynamics that can be accessed by participants only reflexively. Yet, the emerging "horizons of meaning" provide feedback to the historically developing organizations by constraining the possible future states as boundary conditions. I propose to model these possible future states using incursive and hyper-incursive equations from the computation of anticipatory systems. Simulations of these equations enable us to visualize the couplings among the historical-i.e., recursive-progression of social structures along trajectories, the evolutionary-i.e., hyper-incursive-development of systems of expectations at the regime level, and the incursive instantiations of expectations in actions, organizations, and texts.
C1 [Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1001 NG Amsterdam, Netherlands.
RP Leydesdorff, L (reprint author), Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, POB 15793, NL-1001 NG Amsterdam, Netherlands.
EM loet@leydesdorff.net
RI Leydesdorff, Loet/E-2903-2010
OI Leydesdorff, Loet/0000-0002-7835-3098
CR Ahrweiler P, 2011, JASSS-J ARTIF SOC S, V14
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NR 97
TC 0
Z9 0
U1 9
U2 9
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2015
VL 105
IS 3
BP 2197
EP 2214
DI 10.1007/s11192-015-1630-6
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CW6TG
UT WOS:000365130100044
ER

PT J
AU Zhuang, YH
   Du, C
   Zhang, L
   Du, Y
   Li, SS
AF Zhuang, Yanhua
   Du, Chao
   Zhang, Liang
   Du, Yun
   Li, Sisi
TI Research trends and hotspots in soil erosion from 1932 to 2013: a
   literature review
SO SCIENTOMETRICS
LA English
DT Review
DE Soil erosion; GIS; Model; Cs-137; Bibliometrics
ID LAND-USE; LOESS PLATEAU; LOSS EQUATION; CHINA; RUSLE; MODEL; CLIMATE;
   RATES; GIS; DEGRADATION
AB According to the publications related to soil erosion in the SCI database from 1932 to 2013, this study reveals scientific outputs, main subject categories, geographical distribution, and research hotspots in soil erosion studies, which may be considered a potential guide for future research. The annual number of publications showed an increasing trend over the past 80 years, with an especially rapid increase after 1990. Agriculture, environmental sciences and ecology, geology, and water resources were four major categories. Interdisciplinary research in soil erosion is becoming more common. The soil erosion research was mainly distributed across the USA and Europe before 2001 and boomed in China and Australia after 2001. USA was the largest contributor to global soil erosion research. China is focusing increasing attention on soil erosion research in the last decade, behind the USA. The Chinese Academy of Sciences is the most productive institute, followed by USDA Agricultural Research Service and Katholieke Universiteit Leuven. A keyword analysis confirmed keen interest in sediment yield, soil organic carbon, and phosphorus; indicated that rainfall runoff, climate change, agricultural tillage, and land use change were the leading causes of soil erosion; revealed the important role of GIS, remote sensing, model, and Cs-137 measurement; and found that the Loess Plateau of north-central China was an area of research focus. Through co-citation analysis, soil erosion research mainly focuses on three aspects: soil erosion simulation based on models, soil erosion estimation based on Cs-137 technique, and effects of soil erosion on the environment and agriculture.
C1 [Zhuang, Yanhua; Du, Chao; Zhang, Liang; Du, Yun; Li, Sisi] Chinese Acad Sci, Key Lab Environm & Disaster Monitoring & Evaluat, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China.
   [Zhuang, Yanhua; Zhang, Liang; Du, Yun] Collaborat Innovat Ctr Geohazards & Ecoenvironm T, Yichang 443002, Hubei Province, Peoples R China.
RP Zhang, L (reprint author), Chinese Acad Sci, Key Lab Environm & Disaster Monitoring & Evaluat, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China.
EM lzhang@whigg.ac.cn
FU Chenguang Project of Science and Technology of Wuhan City
   [2014070404010228]; National Natural Science Foundation of China
   [51409240, 41471433]; Natural Science Foundation of Hubei Province
   [2014CFB458]
FX This study is funded by the Youth Chenguang Project of Science and
   Technology of Wuhan City (No. 2014070404010228), the National Natural
   Science Foundation of China (Nos. 51409240 and 41471433), and the
   Natural Science Foundation of Hubei Province (2014CFB458).
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NR 52
TC 0
Z9 0
U1 92
U2 92
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2015
VL 105
IS 2
BP 743
EP 758
DI 10.1007/s11192-015-1706-3
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CU1ED
UT WOS:000363261600002
ER

PT J
AU Dong, DH
   Chen, ML
AF Dong, Dahui
   Chen, Meng-Lin
TI Publication trends and co-citation mapping of translation studies
   between 2000 and 2015
SO SCIENTOMETRICS
LA English
DT Article
DE Translation studies; Bibliometrics; Co-citation; Co-occurrence;
   Visualization
ID SCIENCE; BIBLIOMETRICS; LITERATURES
AB Literature regarding translation studies has increased rapidly in recent decades, yet there have been few empirical studies to investigate the research context of translation studies at the global level. A bibliometric analysis was carried out in this research to probe the current status and the research themes of translation studies papers published between 2000 and 2015 in all journals indexed by the Web of Science database. Bibliometric methods and knowledge visualization technologies were employed to thoroughly investigate publication activities, geographic distributions, core literature, and the distinctive research areas of translation research. The study distinguishes three research areas in translation studies, namely, theoretical translation studies, translation and interpreting training, and descriptive translation studies. The dissemination of knowledge in these areas is realized by publication sources specializing in language and linguistics, applied linguistics and pragmatics, phonetics and acoustics, and translation and interpreting. The core literature in translation studies has been focused to focus on linguistic theories, research methodology, theoretical models, interpreting, and new perspectives. This study provides researchers with several useful insights to better understand developments in translation studies.
C1 [Dong, Dahui; Chen, Meng-Lin] Chang Jung Christian Univ, Dept Translat Interpretat Studies, Tainan, Taiwan.
RP Dong, DH (reprint author), Chang Jung Christian Univ, Dept Translat Interpretat Studies, 1 Changda Rd, Tainan, Taiwan.
EM dongdahui@mail.cjcu.edu.tw
FU Ministry of Science and Technology, Taiwan (ROC) [MOST
   102-2410-H-309-002]
FX This research is funded by the National Science Council, now the
   Ministry of Science and Technology, Taiwan (ROC) (MOST
   102-2410-H-309-002).
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NR 57
TC 0
Z9 0
U1 19
U2 19
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2015
VL 105
IS 2
BP 1111
EP 1128
DI 10.1007/s11192-015-1769-1
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CU1ED
UT WOS:000363261600025
ER

PT J
AU Fang, YQ
AF Fang, Yuqing
TI Visualizing the structure and the evolving of digital medicine: a
   scientometrics review
SO SCIENTOMETRICS
LA English
DT Review
DE Document co-citation analysis; Digital medicine; Medical imaging;
   Cluster analysis; Network analysis; CiteSpace
ID BEAM COMPUTED-TOMOGRAPHY; INTELLECTUAL STRUCTURE; SYNCHROTRON-RADIATION;
   EMERGING TRENDS; INFORMATION; SYSTEM; CT; RECONSTRUCTION; PERSPECTIVE;
   MAMMOGRAPHY
AB This article aims to analyze and visualize the structure and the emerging trend of digital medicine, a new medical pattern of twenty-first century. Our study objectively explores the document co-citation clusters of 6060 bibliographic records to identify the origin of digital medicine and the hot research specialty of domain. Pivotal point articles, prominent authors, active disciplines and institution have been identified by network analysis theory. CiteSpace was used to visualize the perspective of digital medicine domain. As an interdiscipline which integrated computer science, information engineering with medicine, digital medicine originally and mainly on digital medical imaging technology research for accuracy and speedy clinical diagnosis and therapy. Of 6060 relevant records reviewed, 1719 (28 %) are on radiology, 902 (15 %) are on engineering, 539 (9 %) are on computer science. The largest co-citation cluster is on digital tomosynthesis. The earliest cluster is on medical imaging segmentation and registration. Post-processing imaging technology, detector, phase contrast, reversible watermarking, input, model 3D reconstruct, real-time dynamic imaging, dosimetry have been the hot research topics. The recently cluster is on internet health information. Harvard University of USA is the prominent institution. The coverage of digital medicine research is widely from clinic to laboratory. Recent year, domain research front is thematically on teleradiology, telemedicine and hospital information management system.
C1 Nankai Univ, Lib, Tianjin 300071, Peoples R China.
RP Fang, YQ (reprint author), Nankai Univ, Lib, 94 Weijin Rd, Tianjin 300071, Peoples R China.
EM ychfang@nankai.edu.cn
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NR 77
TC 1
Z9 1
U1 82
U2 82
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2015
VL 105
IS 1
BP 5
EP 21
DI 10.1007/s11192-015-1696-1
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CS3RP
UT WOS:000361992800002
ER

PT J
AU Shiau, WL
   Dwivedi, YK
   Tsai, CH
AF Shiau, Wen-Lung
   Dwivedi, Yogesh K.
   Tsai, Chia-Han
TI Supply chain management: exploring the intellectual structure
SO SCIENTOMETRICS
LA English
DT Article
DE Supply chain management (SCM); Intellectual structure; Document
   co-citation; Classification
ID BUYER-SELLER RELATIONSHIPS; COCITATION ANALYSIS; INFORMATION-SYSTEMS;
   COMPETITIVE ADVANTAGE; AUTHOR COCITATION; PERFORMANCE; DISCIPLINE;
   FRAMEWORK; CORE; FIRM
AB The purpose of this article is to explore the intellectual structure of supply chain management area by employing a co-citation method. Data was collected (4652 articles and 145,242 references) from the Web of Science online database. Author productivity and 41 frequently cited articles were identified through citation and document co-citation analysis. The result of this study identified four core topics to supply chain management research: sustainable supply chain management, strategic competition, value of information, and development of supply chain management. This study illustrates the shift in the intellectual structure of SCM, indicating research priorities, such as sustainability in supply chain management, relationships among organisations, the bullwhip effect within the supply chain, and performance measurement in supply chain management. This study implies that managers should expend effort formulating effective performance measurements in supply chain management and share information within the supply chain to mitigate the bullwhip effect.
C1 [Shiau, Wen-Lung; Tsai, Chia-Han] Ming Chuan Univ, Dept Informat Management, Taoyuan, Taiwan.
   [Dwivedi, Yogesh K.] Swansea Univ, Sch Management, Swansea SA1 8EN, W Glam, Wales.
RP Dwivedi, YK (reprint author), Swansea Univ, Sch Management, Bay Campus,Fabian Way, Swansea SA1 8EN, W Glam, Wales.
EM mac@mail.mcu.edu.tw; ykdwivedi@gmail.com; jasontsai6604@gmail.com
RI Dwivedi, Yogesh/A-5362-2008
OI Dwivedi, Yogesh/0000-0002-5547-9990
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NR 81
TC 0
Z9 0
U1 17
U2 17
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2015
VL 105
IS 1
BP 215
EP 230
DI 10.1007/s11192-015-1680-9
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CS3RP
UT WOS:000361992800014
ER

PT J
AU Zhang, SJ
   Lyu, PH
   Yan, Y
AF Zhang, Shao-jie
   Lyu, Peng-hui
   Yan, Yan
TI Global geographical and scientometric analysis of tourism-themed
   research
SO SCIENTOMETRICS
LA English
DT Article
DE Tourism Scientometric; Science Citation Index; Social Science Citation
   Index; Knowledge base; Research frontiers
ID BEHAVIORAL INTENTIONS; DESTINATION IMAGE; DOCTORAL DISSERTATIONS;
   SCIENTIFIC LITERATURE; SATISFACTION; MODEL; AUTHENTICITY; QUALITY;
   BETWEENNESS; PERCEPTIONS
AB Tourism research literatures have increased rapidly in the past few decades while there have been few efforts to map the panorama of global tourism research. A scientometric analysis was applied to evaluate the performance status and research front using knowledge domain visualization techniques in this work. The data consists of 17,413 tourism-themed literatures retrieved from Science Citation Index Expanded and Social Sciences Citation Index databases since 1900. What were analyzed included the publication outputs, document types, productive publications, languages used frequently as well as fruitful countries/territories and institutions contributing to English articles and the co-citation network of references in the past decade. The cumulated literature records of tourism-related research have increased exponentially over past 40 years, revealing that tourism research is in its rapid development stage. It turned out that there were fourteen types of documents and academic articles accounted for the largest proportion. Literatures were published in a wide range of 2082 publications, of which Annals of Tourism Research and Tourism Management were in the vanguard of the most productive journals for tourism research. English is the most popular language in publication. USA, UK and Australia were the most productive countries; New Zealand, Peoples R China, UK and Australia were the most close cooperation groups, and Austria; New Zealand, Japan and Peoples R China had the most innovation. The most productive institutes included Hong Kong Polytechnic University, Griffith University, University of Queensland, University of Surrey and Texas A&M University. The co-citation cluster analysis reveals the distribution of popular topics and the representative literatures during the past decade. Online tourism, consumer perceptions and behavioral intentions, tourism demand forecasting, as well as tourism destination competitiveness are the research frontiers of Tourism Discipline.
C1 [Zhang, Shao-jie] Shandong Inst Commerce & Technol, Coll Humanities, Jinan 251013, Peoples R China.
   [Lyu, Peng-hui] Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China.
   [Yan, Yan] Shaanxi Normal Univ, Tourism & Environm Coll, Xian 710119, Peoples R China.
RP Lyu, PH (reprint author), Hefei Univ Technol, Sch Management, Hefei 230009, Peoples R China.
EM sjz@snnu.edu.cn; lvph@whu.edu.cn; yanyan@snnu.edu
FU Natural Science Foundation of China [71131002]
FX This work is supported by the Natural Science Foundation of China
   (Grant. 71131002). The authors are grateful to Terry slater, Pang Yali,
   Hu Yue and Fan Shouwei for their helpful discussion and suggestions. The
   authors would also like to thank anonymous reviewers for their valuable
   comments.
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   Hair J. F., 1998, MULTIVARIATE ANAL
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   MacCannell Dean, 1976, TOURIST NEW THEORY L
   Mathieson A., 1982, TOURISM EC PHYS SOCI
   Michael Hall C., 2011, TOURISM MANAGE, V32, P16
   Miles MB, 1994, QUALITATIVE DATA ANA
   Mowforth M., 1998, TOURISM SUSTAINABILI
   Nunnally J. C., 1994, BERNSTEIN PSYCHOMETR
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NR 66
TC 0
Z9 0
U1 29
U2 29
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2015
VL 105
IS 1
BP 385
EP 401
DI 10.1007/s11192-015-1678-3
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CS3RP
UT WOS:000361992800025
ER

PT J
AU Xie, P
AF Xie, Ping
TI Study of international anticancer research trends via co-word and
   document co-citation visualization analysis
SO SCIENTOMETRICS
LA English
DT Article
DE Anticancer drug; Co-word; Document co-citation; Citespace; Visualization
   analysis
ID TUMOR-CELL-LINES; MACROMOLECULAR THERAPEUTICS; DRUGS; CANCER; ASSAY
AB The aim of this work is to make a bibliometric analysis of anticancer research literature based on the data from the Web of Science. Anticancer drug research references published from 2000 to 2014 were used. Citespace software was employed to generate the knowledge maps of country/institution, cited authors, cited journals, co-words and cited references related with anticancer drug research. Results of this analysis indicated that the USA is the most productive country and the Chinese Acad. Sci. is the most productive institution in this field. Maeda H is the most influential author, leading the highest citation author group. "CANCER RES" is the most cited journal in which the most influential anticancer drug research articles were published. Mosmann's (1983) paper is a representative and symbolic reference with the highest co-citation of number of 146 (centrality 0.29). The five hot anticancer drug research topics were also disclosed; they are: (1) chemotherapy drugs, (2) drug delivery, (3) bioscreening, (4) drug resistance research, and (5) enzyme inhibitor studies. Research frontiers identified included drug delivery with nanoparticles, controlled release, metabolism and so on. These analyses will be valuable for the reader to grasp an overall picture of anticancer research and research trends during these years.
C1 Jiangsu Univ Lib, Zhenjiang City 212013, Jiangsu, Peoples R China.
RP Xie, P (reprint author), Jiangsu Univ Lib, Xuefu Rd 301, Zhenjiang City 212013, Jiangsu, Peoples R China.
EM xieping@ujs.edu.cn
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NR 21
TC 0
Z9 0
U1 54
U2 54
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2015
VL 105
IS 1
BP 611
EP 622
DI 10.1007/s11192-015-1689-0
PG 12
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CS3RP
UT WOS:000361992800040
ER

PT J
AU Liu, LQ
   Mei, SY
AF Liu, Linqing
   Mei, Shiye
TI How can an indigenous concept enter the international academic circle:
   the case of guanxi
SO SCIENTOMETRICS
LA English
DT Article
DE Guanxi; Co-citation analysis; Citation analysis; Scientific knowledge
   dissemination
ID RELATIONAL DEMOGRAPHY; SOCIAL-STRUCTURE; MANAGERIAL TIES; CHINA;
   BUSINESS; TRUST; FIRM; EMBEDDEDNESS; ORIENTATION; CONNECTIONS
AB As an indigenous concept of China, guanxi has gained broad acceptance by the west without further translation or interpretation during the past 30 years, which is a fascinating topic to investigate. In order to discover the dissemination mechanism of the concept of guanxi, this study employs co-citation analysis and citation analysis to visualize the intellectual base and the evolution of guanxi studies; also it pinpoints the most productive authors, institutions and journals. The findings may provide some guidance for the scientific knowledge dissemination.
C1 [Liu, Linqing; Mei, Shiye] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China.
RP Mei, SY (reprint author), Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China.
EM liulingqing@whu.edu.cn; majormei@whu.edu.cn
FU National Science Foundation of China [71428005, 71372124, 10ZD136]
FX This paper is sponsored by The National Science Foundation of China
   (71428005, 71372124) and The National Social Science Foundation of China
   (10&ZD136). The authors are grateful for the invaluable comments and
   advice of Haibin Yang from City University of Hongkong, and Jun Xia from
   The University of Texas at Dallas.
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NR 61
TC 0
Z9 0
U1 28
U2 28
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2015
VL 105
IS 1
BP 645
EP 663
DI 10.1007/s11192-015-1687-2
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CS3RP
UT WOS:000361992800042
ER

PT J
AU Liu, P
   Wu, Q
   Mu, XM
   Yu, KP
   Guo, YT
AF Liu, Ping
   Wu, Qiong
   Mu, Xiangming
   Yu, Kaipeng
   Guo, Yiting
TI Detecting the intellectual structure of library and information science
   based on formal concept analysis
SO SCIENTOMETRICS
LA English
DT Article
DE Formal concept analysis; Intellectual structure; Library and information
   science
ID BIBLIOGRAPHIC-COUPLING ANALYSIS; AUTHOR COCITATION ANALYSIS; CO-WORD
   ANALYSIS; CONCEPT LATTICES; ALGORITHMS; EVOLUTION; WEB
AB Detecting intellectual structure of a knowledge domain is valuable to track the dynamics of scientific research. Formal concept analysis (FCA) provides a new perspective for knowledge discovery and data mining. In this paper we introduce a FCA-based approach to detect intellectual structure of library and information science (LIS). Our approach relies on the mathematical theory which formulates the understanding of "concept" as a unit of extension (scholars) and intension (keywords) as a way of modelling the intellectual structure of a domain. By analyzing the papers published in sixteen prominent journals of LIS domain from 2001 to 2013, the intellectual structure of LIS in the new century has been identified and visualized. Nine major research themes of LIS were detected together with the core keywords and authors to describe each theme. The significant advantage of our approach is that the mathematical formulae produce a conceptual structure which automatically provides generalization and specialization relationships among the concepts. This provides additional information not available from other methods, especially when shared interests of authors from different granularities are also visualized in concept lattice.
C1 [Liu, Ping; Wu, Qiong; Yu, Kaipeng; Guo, Yiting] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
   [Mu, Xiangming] Univ Wisconsin, Sch Informat Studies, Milwaukee, WI 53102 USA.
RP Liu, P (reprint author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
EM p.liu@whu.edu.cn
FU National Natural Science Foundation of China [71203164]; Fundamental
   Research Funds for the Central Universities (Wuhan University)
   [2012GSP058]
FX This project is supported by National Natural Science Foundation of
   China (71203164) and the Fundamental Research Funds for the Central
   Universities (2012GSP058, Wuhan University).
CR Li HY, 2010, ALTERN THER HEALTH M, V16, P38
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NR 37
TC 0
Z9 0
U1 65
U2 72
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2015
VL 104
IS 3
BP 737
EP 762
DI 10.1007/s11192-015-1629-z
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CO4PO
UT WOS:000359143200007
ER

PT J
AU Kovacs, A
   Van Looy, B
   Cassiman, B
AF Kovacs, Adrian
   Van Looy, Bart
   Cassiman, Bruno
TI Exploring the scope of open innovation: a bibliometric review of a
   decade of research
SO SCIENTOMETRICS
LA English
DT Article
DE Open innovation; Openness; Bibliographic coupling; Co-citation analysis
ID RESEARCH-AND-DEVELOPMENT; OPEN-SOURCE SOFTWARE; OPEN-SOURCE PROJECTS;
   EXTERNAL TECHNOLOGY COMMERCIALIZATION; PRIVATE-COLLECTIVE INNOVATION;
   VENTURE CAPITAL INVESTMENTS; ABSORPTIVE-CAPACITY; BUSINESS MODELS;
   PRODUCT DEVELOPMENT; EMPIRICAL-ANALYSIS
AB The concept of open innovation has attracted considerable attention since Henry Chesbrough first coined it to capture the increasing reliance of firms on external sources of innovation. Although open innovation has flourished as a topic within innovation management research, it has also triggered debates about the coherence of the research endeavors pursued under this umbrella, including its theoretical foundations. In this paper, we aim to contribute to these debates through a bibliometric review of the first decade of open innovation research. We combine two techniques-bibliographic coupling and co-citation analysis-to (1) visualize the network of publications that explicitly use the label 'open innovation' and (2) to arrive at distinct clusters of thematically related publications. Our findings illustrate that open innovation research builds principally on four related streams of prior research, whilst the bibliographic network of open innovation research reveals that seven thematic clusters have been pursued persistently. While such persistence is undoubtedly useful to arrive at in-depth and robust insights, the observed patterns also signal the absence of new, emerging, themes. As such, 'open innovation' might benefit from applying its own ideas: sourcing concepts and models from a broader range of theoretical perspectives as well as pursuing a broader range of topics might introduce dynamics resulting in more impact and proliferation.
C1 [Kovacs, Adrian] Res Fdn Flanders FWO, B-1000 Brussels, Belgium.
   [Kovacs, Adrian; Van Looy, Bart; Cassiman, Bruno] Katholieke Univ Leuven, Fac Business & Econ FEB, Dept Managerial Econ Strategy & Innovat MSI, B-3000 Louvain, Belgium.
   [Kovacs, Adrian; Van Looy, Bart] Univ Twente, Inst Governance Studies, NL-7500 AE Enschede, Netherlands.
   [Van Looy, Bart] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, B-3000 Louvain, Belgium.
   [Cassiman, Bruno] IESE Business Sch, Strateg Management Dept, Barcelona 08034, Spain.
RP Kovacs, A (reprint author), Res Fdn Flanders FWO, B-1000 Brussels, Belgium.
EM adrian.kovacs@kuleuven.be
FU KU Leuven's "Impulsfinanciering'' [IMPH/10/006]; FWO, (Research
   Foundation Flanders) [11O0415N]
FX We would like to thank Alberto Di Minin, Dries Faems, Wim Vanhaverbeke,
   Geertrui van Overwalle, Arina Gorbatyuk, Dennis Verhoeven and Erwin
   Hofman, as well as participants of the 2014 Academy of Management Annual
   Meeting in Philadelphia and the 2014 World Open Innovation Conference in
   the Napa Valley for their constructive feedback on earlier versions of
   this paper. Our paper benefited significantly from the valuable and
   insightful comments and suggestions of the editor and two anonymous
   referees, for which we are especially thankful. We gratefully
   acknowledge financial support from KU Leuven's "Impulsfinanciering''
   (Grant IMPH/10/006). The corresponding author furthermore acknowledges
   financial support from FWO, (Research Foundation Flanders) (Grant
   11O0415N).
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NR 270
TC 0
Z9 0
U1 64
U2 70
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2015
VL 104
IS 3
BP 951
EP 983
DI 10.1007/s11192-015-1628-0
PG 33
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CO4PO
UT WOS:000359143200016
ER

PT J
AU Batistic, S
   Kase, R
AF Batistic, Sasa
   Kase, Robert
TI The organizational socialization field fragmentation: a bibliometric
   review
SO SCIENTOMETRICS
LA English
DT Article
DE Organizational socialization; Newcomers; Co-citation analysis;
   Uncertainty; Proactivity; Review
ID AUTHOR COCITATION ANALYSIS; INTELLECTUAL STRUCTURE; INFORMATION-SEEKING;
   NEWCOMER SOCIALIZATION; MANAGEMENT RESEARCH; PROACTIVE BEHAVIOR;
   TACTICS; WORK; PERFORMANCE; ADJUSTMENT
AB Organizational socialization is gaining momentum in business research, and statistical data shows us the importance of this topic for practitioners as well. In this study, the vast organizational socialization literature published over the past three decades is analysed using bibliometric methods in order to explore the scope of the field, detect current research priorities, and identify the most prominent papers and authors. We identify thematically related clusters of research and show how the organizational socialization field has evolved through interconnected, yet distinct, subfields. Specifically, three distinct aspects have been emphasized at different time periods: (1) the organizational socialization tactics view in the 1980s; (2) newcomer proactivity, information seeking, and the uncertainty reduction process in the 1990s; and (3) a person-by-situation approach in the last decade, which is a mix of both. The implications for future research into organizational socialization research are presented and discussed.
C1 [Batistic, Sasa] Univ Portsmouth, Portsmouth Business Sch, Portsmouth PO1 3DE, Hants, England.
   [Kase, Robert] Univ Ljubljana, Fac Econ, Ljubljana 1000, Slovenia.
RP Batistic, S (reprint author), Univ Portsmouth, Portsmouth Business Sch, Portland St, Portsmouth PO1 3DE, Hants, England.
EM sasa.batistic@port.ac.uk; robert.kase@ef.uni-lj.si
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NR 105
TC 2
Z9 2
U1 24
U2 42
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2015
VL 104
IS 1
BP 121
EP 146
DI 10.1007/s11192-015-1538-1
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CK1EH
UT WOS:000355948600006
ER

PT J
AU Rodriguez, A
   Kim, B
   Turkoz, M
   Lee, JM
   Coh, BY
   Jeong, MK
AF Rodriguez, Andrew
   Kim, Byunghoon
   Turkoz, Mehmet
   Lee, Jae-Min
   Coh, Byoung-Youl
   Jeong, Myong K.
TI New multi-stage similarity measure for calculation of pairwise patent
   similarity in a patent citation network
SO SCIENTOMETRICS
LA English
DT Article
DE Patent citation network; Adjacency matrix; Similarity measure; US class
   code; Jaccard similarity index; Co-citation; Indirect citation
ID COCITATION
AB Being able to effectively measure similarity between patents in a complex patent citation network is a crucial task in understanding patent relatedness. In the past, techniques such as text mining and keyword analysis have been applied for patent similarity calculation. The drawback of these approaches is that they depend on word choice and writing style of authors. Most existing graph-based approaches use common neighbor-based measures, which only consider direct adjacency. In this work we propose new similarity measures for patents in a patent citation network using only the patent citation network structure. The proposed similarity measures leverage direct and indirect co-citation links between patents. A challenge is when some patents receive a large number of citations, thus are considered more similar to many other patents in the patent citation network. To overcome this challenge, we propose a normalization technique to account for the case where some pairs are ranked very similar to each other because they both are cited by many other patents. We validate our proposed similarity measures using US class codes for US patents and the well-known Jaccard similarity index. Experiments show that the proposed methods perform well when compared to the Jaccard similarity index.
C1 [Rodriguez, Andrew; Kim, Byunghoon; Turkoz, Mehmet; Jeong, Myong K.] Rutgers State Univ, Dept Ind & Syst Engn, Piscataway, NJ 08854 USA.
   [Lee, Jae-Min; Coh, Byoung-Youl] Korea Inst Sci & Technol Informat, Seoul 130741, South Korea.
RP Jeong, MK (reprint author), Rutgers State Univ, Dept Ind & Syst Engn, 96 Frelinghuysen Rd,CoRE Bldg,Room 201, Piscataway, NJ 08854 USA.
EM adrodrig@rutgers.edu; mjeong@rci.rutgers.edu
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NR 30
TC 0
Z9 0
U1 14
U2 37
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2015
VL 103
IS 2
BP 565
EP 581
DI 10.1007/s11192-015-1531-8
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CG0WW
UT WOS:000352995000013
ER

PT J
AU Kullenberg, C
   Nelhans, G
AF Kullenberg, Christopher
   Nelhans, Gustaf
TI The happiness turn? Mapping the emergence of "happiness studies" using
   cited references
SO SCIENTOMETRICS
LA English
DT Article
DE Happiness studies; Cited references; Bibliographic coupling;
   Multidisciplinary; Citation analysis
ID LIFE SATISFACTION
AB This article analyzes "happiness studies" as an emerging field of inquiry throughout various scientific disciplines and research areas. Utilizing four operationalized search terms in the Web of Science; "happiness", "subjective well-being", "life satisfaction" and "positive affect", a dataset was created for empirical citation analysis. Combined with qualitative interpretations of the publications, our results show how happiness studies has developed over time, in what journals the citing papers have been published, and which authors and researchers are the most productive within this set. We also trace various trends in happiness studies, such as the social indicators movement, the introduction of positive psychology and various medical and clinical applications of happiness studies. We conclude that "happiness studies" has emerged in many different disciplinary contexts and progressively been integrated and standardized. Moreover, beginning at the turn of the millennium, happiness studies has even begun to shape an autonomous field of inquiry, in which happiness becomes a key research problem for itself. Thus, rather than speaking of a distinct "happiness turn", our study shows that there have been many heterogeneous turns to happiness, departing in a number of different disciplines.
C1 [Kullenberg, Christopher; Nelhans, Gustaf] Univ Gothenburg, Dept Philosophy Linguist & Theory Sci, S-40530 Gothenburg, Sweden.
   [Nelhans, Gustaf] Univ Boras, SSLIS, Boras, Sweden.
RP Kullenberg, C (reprint author), Univ Gothenburg, Dept Philosophy Linguist & Theory Sci, Box 200, S-40530 Gothenburg, Sweden.
EM christopher.kullenberg@gu.se; gustaf.nelhans@gu.se
RI Nelhans, Gustaf/C-3161-2014
OI Nelhans, Gustaf/0000-0001-5196-7148
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NR 52
TC 0
Z9 0
U1 8
U2 18
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2015
VL 103
IS 2
BP 615
EP 630
DI 10.1007/s11192-015-1536-3
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CG0WW
UT WOS:000352995000015
ER

PT J
AU Gonzalez-Teruel, A
   Gonzalez-Alcaide, G
   Barrios, M
   Abad-Garcia, MF
AF Gonzalez-Teruel, Aurora
   Gonzalez-Alcaide, Gregorio
   Barrios, Maite
   Abad-Garcia, Maria-Francisca
TI Mapping recent information behavior research: an analysis of
   co-authorship and co-citation networks
SO SCIENTOMETRICS
LA English
DT Article
DE Information behavior; Research fields; Co-authorships; Co-citation
   analysis
ID SEARCHING BEHAVIOR; SEEKING; WEB; SCIENCE; NEEDS; LIFE; CENTRALITY;
   LIBRARY; USER; COAUTHORSHIP
AB There has been an increase in research published on information behavior in recent years, and this has been accompanied by an increase in its diversity and interaction with other fields, particularly information retrieval. The aims of this study are to determine which researchers have contributed to producing the current body of knowledge on this subject, and to describe its intellectual basis. A bibliometric and network analysis was applied to authorship and co-authorship as well as citation and co-citation. According to these analyses, there is a small number of authors who can be considered to be the most productive and who publish regularly, and a large number of transient ones. Other findings reveal a marked predominance of theoretical works, some examples of qualitative methodology that originate in other areas of social science, and a high incidence of research focused on the user interaction with information retrieval systems and the information behavior of doctors.
C1 [Gonzalez-Teruel, Aurora; Gonzalez-Alcaide, Gregorio; Abad-Garcia, Maria-Francisca] Univ Valencia, Hist Sci & Documentat Dept, Valencia 46010, Spain.
   [Barrios, Maite] Univ Barcelona, Dept Methodol Behav Sci, Barcelona 08035, Spain.
RP Gonzalez-Alcaide, G (reprint author), Univ Valencia, Hist Sci & Documentat Dept, Blasco Ibanez 17, Valencia 46010, Spain.
EM agonzal@uv.es; gregorio.Gonzalez@uv.es; mbarrios@ub.edu; abad@uv.es
RI Gonzalez-Teruel, Aurora/A-1315-2009; Abad-garcia, Maria
   Francisca/L-8191-2014; Barrios, Maite/J-5738-2013
OI Gonzalez-Teruel, Aurora/0000-0001-9304-2928; Abad-garcia, Maria
   Francisca/0000-0001-5611-4996; Barrios, Maite/0000-0003-1979-0818
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NR 91
TC 1
Z9 1
U1 41
U2 88
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2015
VL 103
IS 2
BP 687
EP 705
DI 10.1007/s11192-015-1548-z
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CG0WW
UT WOS:000352995000019
ER

PT J
AU Sanchez-Riofrio, AM
   Guerras-Martin, LA
   Forcadell, FJ
AF Sanchez-Riofrio, Angelica Maria
   Guerras-Martin, Luis Angel
   Forcadell, Francisco Javier
TI Business portfolio restructuring: a comprehensive bibliometric review
SO SCIENTOMETRICS
LA English
DT Article
DE Portfolio restructuring; Bibliometric analysis; Co-citation analysis;
   Bibliographic coupling
ID STRATEGIC MANAGEMENT FIELD; FREE CASH FLOW; AUTHOR COCITATION ANALYSIS;
   INTERNAL CAPITAL-MARKETS; SPIN-OFF ANNOUNCEMENTS; RESOURCE-BASED VIEW;
   ASSET SALES; FIRM PERFORMANCE; CORPORATE GOVERNANCE; VALUE CREATION
AB Business portfolio restructuring (BPR) has received considerable attention in the fields of management and finance. However, to the best of our knowledge, there are no studies applying extensive qualitative and quantitative methods to BPR research. The aim of the present paper is to fill this gap by presenting the first complete bibliometric review of BPR research. In this work, for the first time, not only the extant literature published between 1993 and 2012 is analysed but also the most cited bibliographic references using bibliometric techniques. In this way, past and present academic contributions are reviewed. Four main results are forthcoming: first, a certain parallelism is found with bibliometric studies in strategic management. Second, the intellectual grounding for this field involves the subjects of economics, management and finance as its principal contributors. Third, the theoretical basis for the study of BPR mainly involves agency theory, transaction cost theory, and the resource-based view. Fourth, the financial crisis of 2008 explains an important part of current research priorities and trends among BPR scholars.
C1 [Sanchez-Riofrio, Angelica Maria] Univ Espiritu Santo Ecuador, Samborondon, Ecuador.
   [Guerras-Martin, Luis Angel; Forcadell, Francisco Javier] Univ Rey Juan Carlos, Madrid 28032, Spain.
RP Sanchez-Riofrio, AM (reprint author), Univ Espiritu Santo Ecuador, Off 1-2,Edificio F,Campus Samborondon, Samborondon, Ecuador.
EM amsanche@uees.edu.ec; luisangel.guerras@urjc.es;
   franciscojavier.forcadell@urjc.es
RI Sanchez Riofrio, Angelica Maria/F-9405-2015; Forcadell, Francisco
   Javier/H-5072-2015
OI Sanchez Riofrio, Angelica Maria/0000-0001-9434-7328; 
FU Ministry of Economy and Competitiveness (Spain) [ECO2012-36775,
   ECO2012-31358]
FX The authors wish to thank Wolfgang Glanzel, editor in chief of the
   journal Scientometrics and two anonymous referees for their constructive
   comments and suggestions on this paper. We also want to thank Guillermo
   Armando Ronda-Pupo for his helpful suggestions. This paper has been
   supported by Projects ECO2012-36775 and ECO2012-31358 from the Ministry
   of Economy and Competitiveness (Spain).
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NR 198
TC 0
Z9 0
U1 24
U2 58
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2015
VL 102
IS 3
BP 1921
EP 1950
DI 10.1007/s11192-014-1495-0
PG 30
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CC4QD
UT WOS:000350337000004
ER

PT J
AU Huang, MH
   Chang, CP
AF Huang, Mu-hsuan
   Chang, Chia-Pin
TI A comparative study on detecting research fronts in the organic
   light-emitting diode (OLED) field using bibliographic coupling and
   co-citation
SO SCIENTOMETRICS
LA English
DT Article
DE Research fronts; Bibliographic coupling; Co-citation; Fixed citation
   window; OLED
ID EMERGING RESEARCH FRONTS; CITATION NETWORKS; SCIENTIFIC PAPERS; SCIENCE;
   DEVICES; EFFICIENCY; DOCUMENTS
AB Research fronts represent areas of cutting-edge study in specific fields. They not only provide insights into current focuses and future trends, but also serve as important indicators for government policymaking with regard to technology. This study employed both bibliographic coupling and co-citation as methods to analyze the evolution of research fronts in the OLED field, and compared the outcomes in order to identify the differences between, and assess the effectiveness of, the two methods in detecting such research fronts. This study indicated that both analytic methods can be employed to track the evolution of research fronts. Compared with co-citation, bibliographic coupling identifies a higher number of research fronts, and detects the emergence of the research fronts earlier, thus showing better performance than co-citation in detecting research fronts.
C1 [Huang, Mu-hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10617, Taiwan.
   [Chang, Chia-Pin] Natl Archives Adm, Natl Dev Council, Serv Div, New Taipei City 24220, Taiwan.
RP Huang, MH (reprint author), Natl Taiwan Univ, Dept Lib & Informat Sci, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
EM mhhuang@ntu.edu.tw; leonbin@archives.gov.tw
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NR 63
TC 0
Z9 0
U1 22
U2 54
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2015
VL 102
IS 3
BP 2041
EP 2057
DI 10.1007/s11192-014-1494-1
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CC4QD
UT WOS:000350337000011
ER

PT J
AU White, HD
AF White, Howard D.
TI Co-cited author retrieval and relevance theory: examples from the
   humanities
SO SCIENTOMETRICS
LA English
DT Article
DE Author co-citation analysis; Bibliometric visualizations; Cognitive
   information science; Pennant diagrams; Relevance; TF*IDF weighting
ID INFORMATION-SCIENCE; COMBINING BIBLIOMETRICS; CITATION ANALYSIS;
   ARTICLES
AB Given a user-selected seed author, a unique experimental system called AuthorWeb can return the 24 authors most frequently co-cited with the seed in a 10-year segment of the Arts and Humanities Citation Index. The Web-based system can then instantly display the seed and the others as a Pathfinder network, a Kohonen self-organizing map, or a pennant diagram. Each display gives a somewhat different overview of the literature cited with the seed in a specialty (e.g., Thomas Mann studies). Each is also a live interface for retrieving (1) the documents that co-cite the seed with another user-selected author, and (2) the works by the seed and the other author that are co-cited. This article describes the Pathfinder and Kohonen maps, but focuses much more on AuthorWeb pennant diagrams, exhibited here for the first time. Pennants are interesting because they unite ego-centered co-citation data from bibliometrics, the TF*IDF formula from information retrieval, and Sperber and Wilson's relevance theory (RT) from linguistic pragmatics. RT provides a cognitive interpretation of TF*IDF weighting. By making people's inferential processes a primary concern, RT also yields insights into both topical and non-topical relevance, central matters in information science. Pennants for several authors in the humanities demonstrate these insights.
C1 Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
RP White, HD (reprint author), Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
EM whitehd@drexel.edu
FU GESIS, the Leibniz Institute for the Social Sciences in Cologne, Germany
FX GESIS, the Leibniz Institute for the Social Sciences in Cologne,
   Germany, generously supported preliminary work on this article during
   summer 2013. I am grateful to several GESIS colleagues for stimulating
   discussions: Andreas Strotmann, Philipp Mayr, Philipp Schaer, and Maria
   Zens. Ideas in the article were also presented in a talk at the
   University of Amsterdam, and I thank Alesia Zuccala (of the University's
   Center for Digital Humanities) and Andrea Scharnhorst (Royal Netherlands
   Academy of Arts and Sciences) for the invitation. Rens Bod, John Rigby,
   and Gunnar Sivertsen kindly suggested seed authors for me to map. I
   asked the latter two for reactions, and they provided them. I am pleased
   to quote from them here. I also thank my anonymous referees for
   instructive comments.
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NR 54
TC 0
Z9 0
U1 15
U2 41
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2015
VL 102
IS 3
BP 2275
EP 2299
DI 10.1007/s11192-014-1483-4
PG 25
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA CC4QD
UT WOS:000350337000029
ER

PT J
AU Ghosh, J
   Kshitij, A
   Kadyan, S
AF Ghosh, Jaideep
   Kshitij, Avinash
   Kadyan, Sandeep
TI Functional information characteristics of large-scale research
   collaboration: network measures and implications
SO SCIENTOMETRICS
LA English
DT Article
DE Large-scale structure-functional information characteristics;
   Collaboration co-authorship research networks; Scientometric properties
   of network measures
ID SCIENTIFIC COLLABORATION; CO-AUTHORSHIP; DISAMBIGUATION; PERCOLATION;
   CREATIVITY; MANAGEMENT; CENTRALITY; EVOLUTION; DYNAMICS; TIES
AB This exploratory work sheds light on important functional information characteristics of the system of research collaboration by examining large-scale topological structures of co-authorship networks, created through the affiliative ties of scholarly articles published by collaborating researchers in peer-reviewed journals and conference proceedings. The model adopted in this work to understand the underlying collaboration system incorporates the strengths of collaborative coupling among the researchers. The questions we examine in this work are as follows: (1) What new functional characteristics emerge when combined structural effects of collaborative coupling and large-scale connectivity exist in the networks? (2) What information does a specific closeness distribution of collaborating researchers convey with regard to the flow of knowledge through collaborative activities? (3) What is the temporal dynamics of large-scale structure formation in these networks? The work involves a comparative study of these characteristics using the networks of two countries: India and the US. Our results have important implications for scientometric studies of collaboration research.
C1 [Ghosh, Jaideep; Kshitij, Avinash; Kadyan, Sandeep] CSIR, Natl Inst Sci Technol & Dev Studies CSIR NISTADS, New Delhi 110012, India.
   [Kshitij, Avinash] Jawaharlal Nehru Univ, Sch Social Sci, Ctr Studies Sci Policy, New Delhi 110067, India.
RP Ghosh, J (reprint author), CSIR, Natl Inst Sci Technol & Dev Studies CSIR NISTADS, KS Krishnan Marg, New Delhi 110012, India.
EM jghosh20770@gmail.com; pdavinash@gmail.com; sandeepkadyan007@gmail.com
FU Department of Science & Technology, Government of India
FX The authors wish to acknowledge three anonymous reviewers of
   Scientometrics for suggesting a number of improvements in the paper.
   Thanks are also due to Dr. P. Banerjee, Director of CSIR-NISTADS, for
   helpful comments on an early version of the paper. Jaideep Ghosh would
   like to thank the Department of Science & Technology, Government of
   India, for financial support to carry out this work.
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NR 47
TC 0
Z9 0
U1 10
U2 34
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD FEB
PY 2015
VL 102
IS 2
BP 1207
EP 1239
DI 10.1007/s11192-014-1475-4
PG 33
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AZ6IS
UT WOS:000348324000007
ER

PT J
AU Winnink, JJ
   Tijssen, RJW
AF Winnink, J. J.
   Tijssen, Robert J. W.
TI Early stage identification of breakthroughs at the interface of science
   and technology: lessons drawn from a landmark publication
SO SCIENTOMETRICS
LA English
DT Article
DE Breakthrough; Early stage; Graphene; Science-technology interface; Weak
   signals
ID FORESIGHT; INFORMATION; EMERGENCE; PATTERNS; MODELS
AB Certain scholarly publications or patent publications may signal breakthroughs in basic scientific research or radical new technological developments. Are there bibliographical indicators that enable an analysis of R&D dynamics to help identify these 'local revolutions' in science and technology? The focus of this paper is on early stage identification of potential breakthroughs in science that may evolve into new technology. We analyse bibliographic information for a typical example of such a breakthrough to pinpoint information that has the potential to be used as bibliographic indicator. The typical example used is the landmark research paper by Novoselov et al. (Science 306(5696): 666-669, 2004) concerning graphene. After an initial accumulation of theoretical knowledge about graphene over a period of 50 years this publication of the discovery of a method to produce graphene had an immediate and significant impact on the R&D community; it provides a link between theory, experimental verification, and new technological applications. The publication of this landmark discovery marks a sharp rise in the number of scholarly publications, and not much later an increase in the number of filings for related patent applications. Noticeable within 2 years after publication is an above average influx of researchers and of organisations. Changes in the structure of co-citation term maps point to renewed interest from theoretical physicists. The analysis uncovered criteria that can help in identifying at early stage potential breakthroughs that link science and technology.
C1 [Winnink, J. J.; Tijssen, Robert J. W.] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2333 AL Leiden, Netherlands.
   [Winnink, J. J.; Tijssen, Robert J. W.] Leiden Univ, Dual PhD Ctr The Hague, NL-2501 EE The Hague, Netherlands.
   [Winnink, J. J.] Netherlands Patent Off, NL-2501 HJ The Hague, Netherlands.
   [Tijssen, Robert J. W.] Univ Stellenbosch, DST NRF Ctr Excellence Scientometr, ZA-7600 Stellenbosch, South Africa.
   [Tijssen, Robert J. W.] Univ Stellenbosch, STI Policy, ZA-7600 Stellenbosch, South Africa.
RP Winnink, JJ (reprint author), Leiden Univ, Ctr Sci & Technol Studies CWTS, Wassenaarseweg 62A, NL-2333 AL Leiden, Netherlands.
EM winninkjj@cwts.leidenuniv.nl
CR Andersen PD, 2009, TECHNOL ANAL STRATEG, V21, P917, DOI 10.1080/09537320903262280
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NR 39
TC 1
Z9 1
U1 11
U2 32
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2015
VL 102
IS 1
BP 113
EP 134
DI 10.1007/s11192-014-1451-z
PG 22
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AY0OZ
UT WOS:000347297400007
ER

PT J
AU Bornmann, L
   Leydesdorff, L
AF Bornmann, Lutz
   Leydesdorff, Loet
TI Topical connections between the institutions within an organisation
   (institutional co-authorships, direct citation links and co-citations)
SO SCIENTOMETRICS
LA English
DT Article
DE Social network analysis; Co-authorship network; Direct citation network;
   Co-citation network
ID RESEARCH COLLABORATION; SCIENCE; BUSINESS; NETWORKS
AB In recent years, numerous studies have been published which have used bibliometric data to look at collaborations in research. This study presents a proposal with which the topical connections of the institutions of an organization can be investigated through analysis of co-authorships, direct citation links, and co-citations. Based on various bibliometric data sets for an organization whose institutions are used as an example, this study illustrates the possibility of comparing the self-perception of institutions of this organization (co-authorships, direct citation links) with a view to (possible) mutual collaboration with the external perception (co-citations). This comparison is made firstly for the whole organization with the aid of network graphs; secondly, the comparison is presented in a table for a specific institution and its (possible) collaborations in the organization. Particularly the tabular breakdown of the links between the institutions can provide concrete indications of possible further collaboration between the institutions which have not yet manifested themselves in co-authorships.
C1 [Bornmann, Lutz] Max Planck Gesell, Div Sci & Innovat Studies, Adm Headquarters, D-80539 Munich, Germany.
   [Leydesdorff, Loet] Univ Amsterdam, Amsterdam Sch Commun Res ASCoR, NL-1001 NG Amsterdam, Netherlands.
RP Bornmann, L (reprint author), Max Planck Gesell, Div Sci & Innovat Studies, Adm Headquarters, Hofgartenstr 8, D-80539 Munich, Germany.
EM bornmann@gv.mpg.de; loet@leydesdorff.net
RI Bornmann, Lutz/A-3926-2008; Leydesdorff, Loet/E-2903-2010
OI Bornmann, Lutz/0000-0003-0810-7091; Leydesdorff,
   Loet/0000-0002-7835-3098
CR Kumar S, 2013, SCIENTOMETRICS, V97, P491, DOI 10.1007/s11192-013-0994-8
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NR 21
TC 3
Z9 3
U1 5
U2 38
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2015
VL 102
IS 1
BP 455
EP 463
DI 10.1007/s11192-014-1425-1
PG 9
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AY0OZ
UT WOS:000347297400024
ER

PT J
AU Zhao, RY
   Chen, BK
AF Zhao, Rongying
   Chen, Bikun
TI Applying author co-citation analysis to user interaction analysis: a
   case study on instant messaging groups
SO SCIENTOMETRICS
LA English
DT Article
DE Webometrics; Usage metrics; Author co-citation analysis; Instant
   messaging; Social network analysis; Information visualization;
   Enterprise management
ID INFORMATION-SCIENCE; INTELLECTUAL STRUCTURE; PATHFINDER NETWORKS;
   CITATION-INDEX; MAPS; WEB
AB Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups' instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.
C1 [Zhao, Rongying; Chen, Bikun] Wuhan Univ, Ctr Studies Informat Resources, Res Ctr China Sci Evaluat, Sch Informat Management, Wuhan 430072, Peoples R China.
RP Chen, BK (reprint author), Wuhan Univ, Ctr Studies Informat Resources, Res Ctr China Sci Evaluat, Sch Informat Management, Wuhan 430072, Peoples R China.
EM chenbikun2011@whu.edu.cn
FU Major Program of National Social Science Foundation in China [11ZD152];
   Social Science Foundation by Ministry of Education in China
   [13YJA870023]; High-level International Journal Program of Wuhan
   University [2012GSP062]
FX This paper is supported by Major Program of National Social Science
   Foundation in China (Grant No. 11&ZD152), Program of Social Science
   Foundation by Ministry of Education in China (Grant No. 13YJA870023) and
   High-level International Journal Program of Wuhan University (Grant No.
   2012GSP062). This is an extended version of a paper presented at the
   14th International Society of Scientometrics and Informetrics
   Conference, Vienna (Austria), 15-19 July 2013.
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   Borgatti S. P., 2004, NETDRAW GRAPH VISUAL
   Groh G, 2011, SCIENTOMETRICS, V89, P569, DOI 10.1007/s11192-011-0475-x
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   Klavans R, 2006, SCIENTOMETRICS, V68, P475, DOI 10.1007/s11192-006-0125-x
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   Nooy W., 2011, EXPLORATORY SOCIAL N
   Noyons ECM, 2009, SCIENTOMETRICS, V79, P261, DOI 10.1007/s11192-009-0417-z
   Osareh F, 2008, J AM SOC INF SCI TEC, V59, P2146, DOI 10.1002/asi.20923
   Qiu J. P., 2009, LIB INFORM SERVICE, V52, P85
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   Vaughan L, 2010, J INFORMETR, V4, P483, DOI 10.1016/j.joi.2010.04.005
   Wallace ML, 2009, J AM SOC INF SCI TEC, V60, P240, DOI 10.1002/asi.20987
   Wang X. W., 2011, J CHINA SOC SCI TECH, V30, P471
   Wang Z. F., 2011, THESIS ZHEJIANG GONG
   WHITE HD, 1981, J AM SOC INFORM SCI, V32, P163, DOI 10.1002/asi.4630320302
   White HD, 1998, J AM SOC INFORM SCI, V49, P327, DOI 10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4
   Xu L. M., 2011, THESIS WUHAN U WUHAN
   Xu Y. Y., 2008, INFORM STUDIES THEOR, V31, P184
NR 39
TC 0
Z9 0
U1 23
U2 103
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2014
VL 101
IS 2
BP 985
EP 997
DI 10.1007/s11192-014-1314-7
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AR5FF
UT WOS:000343609900005
ER

PT J
AU Shirabe, M
AF Shirabe, Masashi
TI Identifying SCI covered publications within non-patent references in US
   utility patents
SO SCIENTOMETRICS
LA English
DT Article
DE Non-patent references; US utility patents; Science citation; Automated
   matching
ID SCIENCE; TECHNOLOGY
AB In order to evaluate approaches for identifying science citation index (SCI) covered publications within non-patent references (NPRs), the author employs a computer science method that uses two key indicators, recall and precision, to evaluate the relevance of information retrieval systems. There are two primary reasons that this method is adequate: in contrast to the retrievability ratios used previously, first, this method can evaluate two dimensions of matching accuracy, and second, results of its evaluation are independent of the intermediate outcome. The author then proposes an approach for identifying SCI publications within NPRs that consists of five steps: (1) data collection, (2) creation of supervised and test data, (3) selection and execution of matching algorithms, (4) evaluation of algorithms and optimization of their combinations, and (5) evaluation of optimized combinations. A comparison of the proposed and conventional approaches showed that the proposed approach works well, with results far better (99 % precision and 95 % recall) than the target implicitly set in previous studies. The author also applied the approach to comprehensive NPR data in U.S. utility patents registered between 1992 and 2012 and checked the performance. Results showed that the approach could identify SCI publications from within millions of NPRs in an acceptable time (i.e., within a couple of weeks) and that it performs as expected from the evaluation in step 5. On the basis of these results, the proposed approach is considered of value in studies on relations and/or interactions between science publications and patents.
C1 Tokyo Inst Technol, Meguro Ku, Tokyo 1528550, Japan.
RP Shirabe, M (reprint author), Tokyo Inst Technol, Meguro Ku, Oookayama 2-12-1 S6-5, Tokyo 1528550, Japan.
EM shirabe.m.aa@m.titech.ac.jp
RI SHIRABE, Masashi/N-8986-2014
OI SHIRABE, Masashi/0000-0003-4569-6171
FU JSPS KAKENHI [22500848, 23500304]; JST/RISTEX research funding program
   "Science of Science, Technology and Innovation Policy''
FX This research is partly supported by JSPS KAKENHI (Grant Numbers:
   22500848 and 23500304) and JST/RISTEX research funding program "Science
   of Science, Technology and Innovation Policy''.
CR Cassiman B, 2008, IND CORP CHANGE, V17, P611, DOI 10.1093/icc/dtn023
   Callaert J, 2006, SCIENTOMETRICS, V69, P3, DOI 10.1007/s11192-006-0135-8
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   Callaert J, 2014, SCIENTOMETRICS, V98, P1617, DOI 10.1007/s11192-013-1073-x
   Callaert J, 2012, SCIENTOMETRICS, V91, P383, DOI 10.1007/s11192-011-0573-9
   Shirabe M., 2008, 111 NISTEP 2, P1
   Shirabe M, 2013, PRO INT CONF SCI INF, P123
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   Tamada S., 2010, IND U COOPERATIVE IN
   Tomizawa H., 2005, P 20 ANN M JSSPRM, P228
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   Verbeek A., 2002, 204921 EUR EC
   Verbeek A., 2002, 204922 EUR EC
   Verbeek A., 2002, 204923 EUR EC
NR 18
TC 0
Z9 0
U1 5
U2 23
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2014
VL 101
IS 2
BP 999
EP 1014
DI 10.1007/s11192-014-1293-8
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AR5FF
UT WOS:000343609900006
ER

PT J
AU Zhao, RY
   Wu, SN
AF Zhao, Rongying
   Wu, Shengnan
TI Study on themes and authors' influence of open access in China
SO SCIENTOMETRICS
LA English
DT Article
DE Open access; Research themes; Authors' influence; Strategic diagram;
   Social network analysis (SNA)
ID CO-WORD ANALYSIS
AB Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end.
C1 [Zhao, Rongying; Wu, Shengnan] Wuhan Univ, Res Ctr Sci Evaluat, Wuhan 430072, Peoples R China.
   [Zhao, Rongying; Wu, Shengnan] Wuhan Univ, Ctr Studies Informat Resources, Wuhan 430072, Peoples R China.
   [Zhao, Rongying; Wu, Shengnan] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
RP Wu, SN (reprint author), Wuhan Univ, Res Ctr Sci Evaluat, Wuhan 430072, Peoples R China.
EM zhaorongying@163.com; vivian19870220@163.com
FU fundamental research funds for the central universities [2013104010207]
FX This paper is supported by "the fundamental research funds for the
   central universities'' (2013104010207).
CR Zhao DZ, 2008, J AM SOC INF SCI TEC, V59, P2070, DOI 10.1002/asi.20910
   CALLON M, 1991, SCIENTOMETRICS, V22, P155, DOI 10.1007/BF02019280
   LAW J, 1988, SCIENTOMETRICS, V14, P251, DOI 10.1007/BF02020078
   Ding Y, 2001, INFORM PROCESS MANAG, V37, P817, DOI 10.1016/S0306-4573(00)00051-0
   [陈红勤 CHEN Hongqin], 2008, [情报科学, Information Science], V26, P1317
   Chen S., 2011, LIB INFORM SERVICE, V55, P61
   Fengmin Y., 2010, INFORM SCI, V28, P1679
   Ge H., 2011, J INTELLIGENCE, V30, P87
   Kostoff R. N., 2003, SCI TECHNOLOGY TEXT
   Liu L., 2012, LIB WORK STUDY, V5, P19
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   Zhao Rongying, 2013, J INTELLIGENCE, V32, P137
NR 14
TC 1
Z9 1
U1 8
U2 50
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2014
VL 101
IS 2
BP 1165
EP 1177
DI 10.1007/s11192-014-1415-3
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AR5FF
UT WOS:000343609900016
ER

PT J
AU Qiu, JP
   Dong, K
   Yu, HQ
AF Qiu, Jun-Ping
   Dong, Ke
   Yu, Hou-Qiang
TI Comparative study on structure and correlation among author
   co-occurrence networks in bibliometrics
SO SCIENTOMETRICS
LA English
DT Article
DE Co-authorship analysis; Author co-citation analysis; Author
   bibliographic coupling; Correlation analysis; Bibliometrics
ID PEARSONS CORRELATION-COEFFICIENT; BIBLIOGRAPHIC-COUPLING ANALYSIS;
   INFORMATION-SCIENCE; COCITATION ANALYSIS; CO-AUTHORSHIP; SCIENTIFIC
   COLLABORATION; COAUTHORSHIP NETWORKS; INTELLECTUAL SPACE; ALL-AUTHOR;
   CITATION
AB This paper introduces author-level bibliometric co-occurrence network by discussing its history and contribution to the analysis of scholarly communication and intellectual structure. The difference among various author co-occurrence networks, which type of network shall be adapted in different situations, as well as the relationship among these networks, however, remain not explored. Five types of author co-occurrence networks were proposed: (1) co-authorship (CA); (2) author co-citation (ACC); (3) author bibliographic coupling (ABC); (4) words-based author coupling (WAC); (5) journals-based author coupling (JAC). Networks of 98 high impact authors from 30 journals indexed by 2011 version of Journal Citation Report-SSCI under the Information Science & Library Science category are constructed for study. Social network analysis and hierarchical cluster analysis are applied to identify sub-networks with results visualized by VOSviewer software. QAP test is used to find potential correlation among networks. Cluster analysis results show that all the five types of networks have the power for revealing intellectual structure of sciences but the revealed structures are different from each other. ABC identified more sub-structures than other types of network, followed by CA and ACC. WAC result is easily affected and JAC result is ambiguous. QAP test result shows that ABC network has the highest proximity with other types of networks while CA network has relatively lower proximity with other networks. This paper will provide a better comprehension of author interaction and contribute to cognitive application of author co-occurrence network analysis.
C1 [Qiu, Jun-Ping; Dong, Ke; Yu, Hou-Qiang] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
RP Dong, K (reprint author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
EM dongke40@gmail.com; yuhouq@yeah.net
FU Major Program of the National Social Science Foundation of China
   [11ZD152]; Humanities and Social Sciences project of Wuhan University
   [2012GSP032]
FX This paper is supported by the Major Program of the National Social
   Science Foundation of China (Grant No. 11&ZD152) and Humanities and
   Social Sciences project of Wuhan University (Grant No. 2012GSP032).
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NR 62
TC 2
Z9 2
U1 32
U2 115
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2014
VL 101
IS 2
BP 1345
EP 1360
DI 10.1007/s11192-014-1315-6
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AR5FF
UT WOS:000343609900026
ER

PT J
AU Kim, MC
   Jeong, YK
   Song, M
AF Kim, Meen Chul
   Jeong, Yoo Kyung
   Song, Min
TI Investigating the integrated landscape of the intellectual topology of
   bioinformatics
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliometrics; Big data; Bioinformatics; Complete topology;
   Co-authorship network; Co-citation network
ID AUTHOR COCITATION ANALYSIS; INTERNATIONAL SCIENTIFIC COLLABORATION;
   MULTIPLE AUTHORSHIP; CO-AUTHORSHIP; NETWORKS; PATTERNS; IMPACT; WEB;
   CLASSIFICATION; COMMUNICATION
AB We aim at identifying (1) whether and how various data sources influence mapping an intellectual structure of the field of bioinformatics, and (2) the landscape of bioinformatics by integrating those sources. To this end, we conduct a comprehensive bibliometric analysis by harvesting bibliographic information from DBLP, PubMed Central, and Web of Science. We then measure and compare topological characteristics of networks generated using these sources. The results show a dichotomous pattern dominated by PubMed Central and WoS. In addition, a few influential scientists in the field of bioinformatics receive very high citations from their colleagues, which is a driving force to bloom the field. These few scientists are connected to a much larger research community. Most of the researchers are intellectually linked within a few steps, in spite of the domain's interdisciplinary characteristics. Particularly, influential authors consist of a small world. We also identify that there is not a coherent body of discipline in bioinformatics since the field is still under development. Finally, the journals and conferences indexed by each source cover different research topics, and PubMed Central is more inclusive than DBLP as an indexing database.
C1 [Kim, Meen Chul] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA.
   [Jeong, Yoo Kyung; Song, Min] Yonsei Univ, Dept Lib & Informat Sci, Seoul 120749, South Korea.
RP Song, M (reprint author), Yonsei Univ, Dept Lib & Informat Sci, Seoul 120749, South Korea.
EM meenchul.kim@drexel.edu; yk.jeong@yonsei.ac.kr; min.song@yonsei.ac.kr
OI Song, Min/0000-0003-3255-1600
FU Bio & Medical Technology Development Program of the National Research
   Foundation (NRF) - Ministry of Science, ICT & Future Planning
   [2013M3A9C4078138]
FX This research was supported by the Bio & Medical Technology Development
   Program of the National Research Foundation (NRF) funded by the Ministry
   of Science, ICT & Future Planning (Grant No. 2013M3A9C4078138).
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NR 62
TC 1
Z9 1
U1 12
U2 61
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2014
VL 101
IS 1
BP 309
EP 335
DI 10.1007/s11192-014-1417-1
PG 27
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AP6ZX
UT WOS:000342228300015
ER

PT J
AU Appio, FP
   Cesaroni, F
   Di Minin, A
AF Appio, Francesco Paolo
   Cesaroni, Fabrizio
   Di Minin, Alberto
TI Visualizing the structure and bridges of the intellectual property
   management and strategy literature: a document co-citation analysis
SO SCIENTOMETRICS
LA English
DT Article
DE Document co-citation analysis; DCA; Intellectual property; IP
   management; IP strategy; Cluster analysis; Diversity analysis
ID COMPUTATIONAL INTELLIGENCE FIELD; ABSORPTIVE-CAPACITY; INNOVATION;
   DIVERSITY; PARADIGMS; SCIENCE; ALLIANCES; ECONOMICS; IDEAS;
   COLLABORATION
AB This article uses document co-citation analysis to objectively explore the underlying structure of the intellectual property research domain, taken from a managerial and strategic standpoint. The goal of this study is identifying its main research areas, understanding its current state of development and suggesting potential future directions, by analyzing the co-citations from 181 papers published between 1992 and 2011 in the most influential academic journals. Five main clusters have been identified, mapped, and labeled as follows: Economics of patent system, technological and institutional capabilities, university patenting, intellectual property exploitation, and division of labor. Their most active areas on this topic, and the most influential and co-cited papers have been identified and described. Also, intra- and inter-cluster knowledge base diversity has been assessed by using indicators stemming from the domains of information theory and biology. A t test has been performed to assess the significance of the inter-cluster diversity. The knowledge bases of these five clusters are significantly diverse, this meaning that they are five co-existing paradigms.
C1 [Appio, Francesco Paolo] Univ Pisa, Dept Energy Syst Terr & Construct Engn DESTEC, I-56122 Pisa, Italy.
   [Cesaroni, Fabrizio] Univ Carlos III Madrid, Dept Business Adm, Madrid 28903, Spain.
   [Cesaroni, Fabrizio; Di Minin, Alberto] Scuola Super StAnna, Ist Management, I-56127 Pisa, Italy.
RP Appio, FP (reprint author), Univ Pisa, Dept Energy Syst Terr & Construct Engn DESTEC, I-56122 Pisa, Italy.
EM francesco.appio@for.unipi.it; fabrizio.cesaroni@uc3m.es;
   a.diminin@sssup.it
OI Appio, Francesco Paolo/0000-0003-4586-6193
FU Spanish Ministry of Economics and Competitiveness [ECO2011-27942]
FX We want to thank Prof. Antonella Martini (University of Pisa), Prof.
   Daniela Baglieri (University of Messina), and the three reviewers for
   their invaluable suggestions and support. Fabrizio Cesaroni also
   acknowledges support from the Spanish Ministry of Economics and
   Competitiveness, project ECO2011-27942.
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NR 95
TC 1
Z9 1
U1 20
U2 68
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2014
VL 101
IS 1
BP 623
EP 661
DI 10.1007/s11192-014-1329-0
PG 39
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AP6ZX
UT WOS:000342228300029
ER

PT J
AU Kostoff, RN
AF Kostoff, Ronald N.
TI Literature-related discovery: common factors for Parkinson's Disease and
   Crohn's Disease
SO SCIENTOMETRICS
LA English
DT Article
DE Literature-related discovery; Text mining; Scientometrics; Parkinson's
   Disease; Crohn's Disease; Neurodegeneration; Autoimmunity; Inflammation
ID POTENTIAL TREATMENTS; KNOWLEDGE DISCOVERY; MEDICAL LITERATURES;
   ALZHEIMERS-DISEASE; CLASSIFICATION; INFORMATION; THERAPIES; NECROSIS;
   COLITIS; CANCER
AB Literature-related discovery (LRD) is the linking of two or more literature concepts that have heretofore not been linked (i.e., disjoint), in order to produce novel, interesting, and intelligible knowledge (i.e., potential discovery). The mainstream software for assisting LRD is Arrowsmith. It uses text-based linkage to connect two disjoint literatures, and it generates intermediate linking literatures by matching Title phrases from two disjoint literatures (literatures that do not share common records). Arrowsmith then prioritizes these linking phrases through a series of text-based filters. The present study examines citation-based linkage in addition to text-based linkage to link disjoint literatures through a process called bibliographic coupling. Two disjoint literatures were selected for the demonstration: Parkinson's Disease (PD) (neurodegeneration) and Crohn's Disease (CD) (autoimmune). Three cases were examined: (1) matching phrases in records with no shared references (text-based linkage only); (2) shared references in records with no matching phrases (citation-based linkage only); (3) matching phrases in records with shared references (text-based and citation-based linkages). In addition, the main themes in the body of shared references were examined through grouping techniques to identify the common themes between the two literatures. All the high-level concepts in the Case 1) records could be found in Case 3) records Some new concepts (at the sub-set level of the main themes) not found in the Case 3) records were identified in the Case 2) records. The synergy of matching phrases and shared references provides a strong prioritization to the selection of promising matching phrases as discovery mechanisms. There were three major themes that unified the PD and CD literatures: Genetics; Neuroimmunology; Cell Death. However, these themes are not completely independent. For example, there are genetic determinants of the inflammatory response. Naturally occurring genetic variants in important inflammatory mediators such as TNF-alpha appear to alter inflammatory responses in numerous experimental and a few clinical models of inflammation. Additionally, there is a strong link between neuroimmunology and cell death. In PD, for example, neuroinflammatory processes that are mediated by activated glial and peripheral immune cells might eventually lead to dopaminergic cell death and subsequent disease progression.
C1 [Kostoff, Ronald N.] Mitre Corp, Bedford, MA 01730 USA.
RP Kostoff, RN (reprint author), Georgia Inst Technol, Sch Publ Policy, Atlanta, GA 30332 USA.
EM ronald.kostoff@pubpolicy.gatech.edu
FU MITRE
FX This project was supported by MITRE internal research funding.
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NR 79
TC 1
Z9 1
U1 6
U2 37
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2014
VL 100
IS 3
BP 623
EP 657
DI 10.1007/s11192-014-1298-3
PG 35
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AN4PJ
UT WOS:000340569800003
ER

PT J
AU Meyer, M
   Grant, K
   Morlacchi, P
   Weckowska, D
AF Meyer, Martin
   Grant, Kevin
   Morlacchi, Piera
   Weckowska, Dagmara
TI Triple Helix indicators as an emergent area of enquiry: a bibliometric
   perspective
SO SCIENTOMETRICS
LA English
DT Article
DE Triple Helix; Bibliometric review; Mapping; Bibexcel
ID UNIVERSITY-INDUSTRY-GOVERNMENT; REGIONAL INNOVATION SYSTEMS; SCIENTIFIC
   LITERATURE; KNOWLEDGE PRODUCTION; PUBLIC SCIENCE; TECHNOLOGY; DYNAMICS;
   PATENTS; COLLABORATION; BASE
AB This contribution explores how work on Triple Helix (TH) indicators has evolved. Over the past 15 years a body of literature has emerged that brings together a variety of approaches to capture, map or measure the dynamics of TH relationships. We apply bibliographic coupling and co-citation in combination with content analysis to develop a better understanding of this literature. We identify several clusters that can be aggregated to two broad streams of work-one 'neo-evolutionary', the other 'neo-institutional' in nature. We make this observation both for bibliographic coupling and co-citation analyses which we take as indication of an emerging differentiation of the field. Our content analysis underlines this observation about the 'two faces' of the TH. We conclude this paper with a discussion of future opportunities for research. We see great potential in developing the application side of TH indicators.
C1 [Meyer, Martin] Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.
   [Meyer, Martin] Katholieke Univ Leuven, ECOOM Res Ctr R& Monitoring, Louvain, Belgium.
   [Meyer, Martin] Univ Vaasa, SC Res Inst, Lapua, Finland.
   [Grant, Kevin] London Southbank Univ, Dept Informat, London, England.
   [Morlacchi, Piera; Weckowska, Dagmara] Univ Sussex, Dept Business & Management, Brighton, E Sussex, England.
   [Weckowska, Dagmara] Univ Edinburgh, Inst Sci Technol & Innovat Studies, Edinburgh, Midlothian, Scotland.
RP Meyer, M (reprint author), Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England.
EM m.s.meyer@kent.ac.uk
OI Meyer, Martin/0000-0002-5598-9480
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NR 113
TC 5
Z9 5
U1 19
U2 112
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2014
VL 99
IS 1
BP 151
EP 174
DI 10.1007/s11192-013-1103-8
PG 24
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AC7HA
UT WOS:000332697600010
ER

PT J
AU Huang, MH
   Chang, CP
AF Huang, Mu-Hsuan
   Chang, Chia-Pin
TI Detecting research fronts in OLED field using bibliographic coupling
   with sliding window
SO SCIENTOMETRICS
LA English
DT Article
DE Research fronts; Bibliographic coupling; Citation windows; Sliding
   window; OLED
ID LIGHT-EMITTING DEVICES; COCITATION ANALYSIS; SCIENTIFIC PAPERS; CORE
   DOCUMENTS; CITATION; PATTERNS; ARTICLES; SCIENCE; TIME; NETWORKS
AB Research fronts represent cutting edge studies in specific fields. One can better understand current and future development trends in the relevant field when updated with trends in research fronts. This study uses bibliographic coupling and sliding window to explore the organic light-emitting diodes (OLED) research fronts from 2000 to 2009, and identifies eighteen research fronts that match those predicted by subject experts related to OLED materials. Closer observation of the evolution shows that among the eighteen research fronts, there are four emerging fronts, two growing fronts, eleven stable fronts, and one shrinking front. Bibliographic coupling with sliding window is an effective tool to track the generation, growth, decline, and disappearance of research fronts. Therefore, this analytical method has great potential in discovering the evolution of research fronts.
C1 [Huang, Mu-Hsuan] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10617, Taiwan.
   [Chang, Chia-Pin] Natl Arch Adm, Serv Div, Taipei, Taiwan.
RP Huang, MH (reprint author), Natl Taiwan Univ, Dept Lib & Informat Sci, 1,Sec 4,Roosevelt Rd, Taipei 10617, Taiwan.
EM mhhuang@ntu.edu.tw; leonbin@archives.gov.tw
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NR 59
TC 3
Z9 3
U1 14
U2 72
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2014
VL 98
IS 3
BP 1721
EP 1744
DI 10.1007/s11192-013-1126-1
PG 24
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AB1NT
UT WOS:000331559800009
ER

PT J
AU Ferreira, MP
   Pinto, CF
   Serra, FR
AF Ferreira, Manuel Portugal
   Pinto, Claudia Frias
   Serra, Fernando Ribeiro
TI The transaction costs theory in international business research: a
   bibliometric study over three decades
SO SCIENTOMETRICS
LA English
DT Article
DE Hennart; Transaction costs; IB research; Bibliometric study
ID AUTHOR COCITATION ANALYSIS; EQUITY JOINT VENTURES; INTELLECTUAL
   STRUCTURE; STRATEGIC-MANAGEMENT; UNITED-STATES;
   MULTINATIONAL-ENTERPRISE; INFORMATION-RETRIEVAL; SCIENTIFIC LITERATURE;
   JAPANESE INVESTORS; FOREIGN ENTRY
AB Transaction costs theory (TCT) has long been an important conceptual lens for examining International Business (IB) phenomena and perhaps especially relevant for the study of multinational corporations, entry mode choices and location selection. In this paper we examine the extent to which TCT been used and has impacted IB research. Methodologically, we conduct a bibliometric study of the articles published on nine top journals for publishing IB-related research. We use Jean-Fran double dagger ois Hennart's research as the key marker for TCT in IB research given that Hennart's work has been a hallmark in the discipline. On a sample of 377 articles published between 1982 and 2010, and using the works rather than the authors as the unit of analysis, we analyze citations, co-citations and a spatial visualization of the intellectual research themes delved into. Our analyses provide insights on the influence of Hennart but more broadly of TCT on IB research over the past three decades. We conclude that the TCT has a pervasive influence on a large array of IB research and that Hennart's work is boundary-spanning, connecting several research themes.
C1 [Ferreira, Manuel Portugal] ESTG Inst Politecn Leiria, Leiria, Portugal.
   [Ferreira, Manuel Portugal; Serra, Fernando Ribeiro] UNINOVE Univ Nove Julho, Programa Posgrad Adm, BR-05001100 Sao Paulo, Brazil.
   [Pinto, Claudia Frias] UNINOVE Univ Nove Julho, Programa Mestrado Gestao Projetos, BR-05001100 Sao Paulo, Brazil.
RP Ferreira, MP (reprint author), ESTG Inst Politecn Leiria, Leiria, Portugal.
EM manuel.portugal.ferreira@gmail.com; claudia.frias.pinto@gmail.com;
   fernandoars@uninove.br
RI Ferreira, Manuel/A-2322-2012
OI Ferreira, Manuel/0000-0002-4642-4605
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NR 111
TC 1
Z9 1
U1 10
U2 58
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2014
VL 98
IS 3
BP 1899
EP 1922
DI 10.1007/s11192-013-1172-8
PG 24
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AB1NT
UT WOS:000331559800020
ER

PT J
AU Zhai, QH
   Su, J
   Ye, MH
AF Zhai, Qinghua
   Su, Jing
   Ye, Minghai
TI Focus on China: the current status of entrepreneurship research in China
SO SCIENTOMETRICS
LA English
DT Article
DE Entrepreneurship research; China; Collaboration; Theoretical foundation;
   Bibliometric analysis
ID CO-AUTHORSHIP; RESEARCH COLLABORATION; MANAGEMENT; COCITATION; SCIENCE;
   FIRM; PERFORMANCE; ECONOMIES; FUTURE
AB This review study is a first attempt to map the state of entrepreneurship research in China by focusing on the contributions of Chinese researchers. Leading contributors, research collaboration and theoretical underpinnings in both domestic-oriented and international-oriented research are discussed. The review comprises 508 articles published in domestic Chinese journals indexed by the Chinese Social Science Citation Index and 189 articles published in international journals indexed by the Social Science Citation Index between 2000 and 2011. Two bibliometric approaches, co-authorship analysis and co-citation analysis, were utilized. The results indicate that entrepreneurship research in China is characterized by a clear division, not only in terms of researchers in each community, collaborating network but also with regard to theoretical foundation. Domestic-oriented research is still in its infancy. The research community has attracted a majority of Chinese researchers who focus on inter-institutional collaboration based on mentorship and directing relationship. Scholars involved in international-oriented research engage in more open communication by collaborating not only with researchers from other Chinese institutions but also with those from foreign countries. At the same time, they contribute to the understanding of Chinese entrepreneurship by linking the entrepreneurship phenomenon in Chinese context to theoretical frameworks.
C1 [Zhai, Qinghua; Su, Jing; Ye, Minghai] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China.
   [Zhai, Qinghua; Su, Jing] Lund Univ, Sten K Johnson Ctr Entrepreneurship, Lund, Sweden.
RP Su, J (reprint author), Tongji Univ, Sch Econ & Management, Room 309-2,2 Bldg Tongji Sci Pk,65 Chifeng Rd, Shanghai 200092, Peoples R China.
EM sophie-tongji@hotmail.com; 86sujing@tongji.edu.cn
FU Chinese Scholarship Committee; National Planning Office of Philosophy
   and Social Science [10YJA630188]
FX The authors thank Hans Landstrom and the anonymous reviewer for
   providing insightful comments. This article also benefited from the
   comments made by participants in a seminar at the Sten K. Johnson Centre
   for Entrepreneurship at Lund University. The authors are also grateful
   to the financial support of Chinese Scholarship Committee and National
   Planning Office of Philosophy and Social Science (10YJA630188), which
   made this article possible.
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NR 41
TC 4
Z9 4
U1 10
U2 73
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2014
VL 98
IS 3
BP 1985
EP 2006
DI 10.1007/s11192-013-1114-5
PG 22
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AB1NT
UT WOS:000331559800025
ER

PT J
AU Mustafee, N
   Katsaliaki, K
   Fishwick, P
AF Mustafee, Navonil
   Katsaliaki, Korina
   Fishwick, Paul
TI Exploring the modelling and simulation knowledge base through journal
   co-citation analysis
SO SCIENTOMETRICS
LA English
DT Article
DE Modelling and Simulation (M&S); Co-citation analysis; Simulation
   research; Society for Modeling and Simulation International; SIMULATION:
   Transactions of the Society for Modeling and Simulation International
ID HEALTH-CARE; SYSTEMS; VISUALIZATION; NETWORKS; CONTEXT; PROFILE; SOCIETY
AB Co-citation analysis is a form of content analysis that can be applied in the context of scholarly publications with the purpose of identifying prominent articles, authors and journals being referenced to by the citing authors. It identifies co-cited references that occur in the reference list of two or more citing articles, with the resultant co-citation network providing insights into the constituents of a knowledge domain (e.g., significant authors and papers). The contribution of the paper is twofold; (a) the demonstration of the added value of using co-citation analysis, and for this purpose the underlying dataset that is chosen is the peer-reviewed publication of the Society for Modeling and Simulation International (SCS)-SIMULATION; (b) the year 2012 being the 60th anniversary of the SCS, the authors hope that this paper will lead to further acknowledgement and appreciation of the Society in charting the growth of Modeling and Simulation (M&S) as a discipline.
C1 [Mustafee, Navonil] Univ Exeter, Sch Business, Ctr Innovat & Serv Res, Exeter EX4 4ST, Devon, England.
   [Katsaliaki, Korina] Int Hellenic Univ, Sch Econ & Business Adm, Thessaloniki, Greece.
   [Fishwick, Paul] Univ Texas Dallas, Arts & Technol Program, Dallas, TX 75080 USA.
RP Mustafee, N (reprint author), Univ Exeter, Sch Business, Ctr Innovat & Serv Res, Bldg 1,Rennes Dr, Exeter EX4 4ST, Devon, England.
EM n.mustafee@exeter.ac.uk; k.katsaliaki@ihu.edu.gr;
   paul.fishwick@utdallas.edu
OI Mustafee, Navonil/0000-0002-2204-8924
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NR 29
TC 2
Z9 2
U1 9
U2 67
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2014
VL 98
IS 3
BP 2145
EP 2159
DI 10.1007/s11192-013-1136-z
PG 15
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA AB1NT
UT WOS:000331559800035
ER

PT J
AU Hu, Y
   Sun, J
   Li, WM
   Pan, YL
AF Hu, Yue
   Sun, Jun
   Li, Weimin
   Pan, Yunlong
TI A scientometric study of global electric vehicle research
SO SCIENTOMETRICS
LA English
DT Article
DE Electric vehicle; Scientometric; SCI; Intellectual base; Research fronts
ID PARALLEL HYBRID VEHICLES; FUEL-CELL VEHICLES; OF-THE-ART; SCIENTIFIC
   LITERATURE; CONTROL STRATEGIES; POWER ELECTRONICS; MANAGEMENT;
   ARCHITECTURES; BATTERIES; ENERGY
AB A scientometric analysis was applied in this work to evaluate the status and trends of electric vehicle papers published between 1993 and 2012 in any journal of all the subject categories of the Web of Science. Electric vehicle was used as a keyword to search parts of titles, abstracts, or keywords. Publication trends were analyzed by the retrieved results in publication outputs, subject categories and publication pattern, international productivity. The document co-citation analysis was done in CitespaceII to find out the intellectual base and research fronts of electric vehicle. The articles about electric vehicle increased fast in the last 20 years. 11 document types were found in all electric vehicle-related papers and proceedings paper was the most frequently used document type. Language analysis showed that English was the most dominating language. "Engineering electrical electronic", "Energy fuels" and "Transportation science technology" were the top three most popular subject categories. Journal of Power Sources, IEEE Transaction on Vehicular Technology and IEEE Transaction on Industrial Electronics were the representative journals in the field of electric vehicle. The USA, China and Japan were the most productive countries. University of Michigan, Harbin Institute of Technology and Ohio State University were the most productive countries. Vehicle-to-grid technology, control strategy, combination of power management and traffic information from GPS, plug-in electric vehicle, architectures and modeling, battery and policy about electric vehicle are the research fronts of electric vehicle.
C1 [Hu, Yue; Sun, Jun] Hefei Univ Technol, Sch Mech & Automot Engn, Hefei 230009, Peoples R China.
   [Hu, Yue; Li, Weimin] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China.
   [Pan, Yunlong] Guangdong Univ Technol, Fac Electromech Engn, Guangzhou 510006, Guangdong, Peoples R China.
RP Hu, Y (reprint author), Hefei Univ Technol, Sch Mech & Automot Engn, Hefei 230009, Peoples R China.
EM yue.hu@siat.ac.cn
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   Carbonell X, 2009, J MED LIBR ASSOC, V97, P102, DOI 10.3163/1536-5050.97.2.006
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NR 38
TC 3
Z9 3
U1 19
U2 90
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD FEB
PY 2014
VL 98
IS 2
BP 1269
EP 1282
DI 10.1007/s11192-013-1067-8
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 302RM
UT WOS:000330622600029
ER

PT J
AU Soos, S
AF Soos, Sandor
TI Age-sensitive bibliographic coupling reflecting the history of science:
   The case of the Species Problem
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliographic coupling; Science mapping; History of science; Science
   dynamics; Species Problem; Citation analysis
AB In science mapping, bibliographic coupling (BC) has been a standard tool for discovering the cognitive structure of research areas, such as constituent subareas, directions, schools of thought, or paradigms. Modelled as a set of documents, research areas are often sorted into document clusters via BC representing a thematic unit each. In this paper we propose an alternative method called age-sensitive bibliographic coupling: the aim is to enable the standard method to produce historically valid thematic units, that is, to yield document clusters that represent the historical development of the thematic structure of the subject as well. As such, the method is expected to be especially beneficial for investigations on science dynamics and the history of science. We apply the method within a bibliometric study in the modern history of bioscience, addressing the development of a complex, interdisciplinary discourse called the Species Problem. As a result, a quantitative and qualitative comparison of the standard and the proposed method of bibliographic coupling will be reported, together with a pilot study on the cognitive-historical structure of the Species Problem, regarding an important fragment of the discourse.
C1 Lib Hungarian Acad Sci, Dept Sci Policy & Scientometr, H-1051 Budapest, Hungary.
RP Soos, S (reprint author), Lib Hungarian Acad Sci, Dept Sci Policy & Scientometr, Nador U 7, H-1051 Budapest, Hungary.
EM soossand@gmail.com
FU Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
FX This paper was supported by the Janos Bolyai Research Scholarship of the
   Hungarian Academy of Sciences.
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NR 12
TC 0
Z9 0
U1 5
U2 30
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2014
VL 98
IS 1
BP 23
EP 51
DI 10.1007/s11192-013-1080-y
PG 29
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 284LQ
UT WOS:000329319200005
ER

PT J
AU Wang, XZ
   Zhao, YJ
   Liu, R
   Zhang, J
AF Wang, Xuezhao
   Zhao, Yajuan
   Liu, Rui
   Zhang, Jing
TI Knowledge-transfer analysis based on co-citation clustering
SO SCIENTOMETRICS
LA English
DT Article
DE Knowledge-transfer; Co-citation; Cluster analysis; Transgenic rice
ID SCIENTIFIC LITERATURE; SCIENCE; PATENTS; PROTOPLASTS; TECHNOLOGY;
   PLANTS; GENE
AB Based on co-citation cluster analysis, we propose a knowledge-transfer analysis model for any technology field. In this model, patent data with backward citations to non-patent literature and forward citations by later patents would be analyzed. Co-citation clustering of the cited articles defines scientific knowledge sources, while that of the patents themselves defines technology fronts. According to the citation between the article and patent clusters, the landscape of knowledge-transfer including route and strength between scientific knowledge sources and technology fronts can be mapped out. The model has been applied to the field of transgenic rice. As a result of the analysis, ten scientific knowledge sources and eight technology fronts have emerged, and reasonable links between them have been established, which clearly show how knowledge has been transferred in this field.
C1 [Wang, Xuezhao; Zhao, Yajuan; Zhang, Jing] Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China.
   [Liu, Rui] Chinese Acad Sci, Inst Phys, Beijing 100080, Peoples R China.
RP Wang, XZ (reprint author), Chinese Acad Sci, Natl Sci Lib, Beijing, Peoples R China.
EM wangxz@mail.las.ac.cn
FU Youth Talent Frontier Project of Knowledge Innovation Project of
   National Science Library of Chinese Academy of Sciences [Q110031]
FX The research was supported by Youth Talent Frontier Project of Knowledge
   Innovation Project of National Science Library of Chinese Academy of
   Sciences (Grant No. Q110031). The authors would thank Dr. B. Zhang for
   helpful identification and discussion on the details of article and
   patent clusters, and Dr. T. Han for helpful discussion on the analysis
   model.
CR Lai KK, 2005, INFORM PROCESS MANAG, V41, P313, DOI 10.1016/j.ipm.2003.11.004
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NR 19
TC 1
Z9 1
U1 5
U2 77
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2013
VL 97
IS 3
BP 859
EP 869
DI 10.1007/s11192-013-1077-6
PG 11
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 255DP
UT WOS:000327219900019
ER

PT J
AU Thijs, B
   Schiebel, E
   Glanzel, W
AF Thijs, Bart
   Schiebel, Edgar
   Glanzel, Wolfgang
TI Do second-order similarities provide added-value in a hybrid approach?
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliographic coupling; Text mining; Hybrid clustering; Similarity
   measures; Public health
ID COMBINED COCITATION; CORE DOCUMENTS; WORD ANALYSIS; SCIENCE; CITATION
AB Recent studies on first- and second-order similarities have shown that the latter one outperforms the first one as input for document clustering or partitioning applications. First-order similarities based on bibliographic coupling or on lexical approaches come with specific methodological issues like sparse matrices, sensitive to spelling variances or context differences. Second-order similarities were proposed to tackle these problems and take the lexical context into account. But also a hybrid combination of both types of similarities proved an important improvement which integrates the strengths of the two approaches and diminishes their weaknesses. In this paper we extend the notion of second-order similarity by applying it in the context of the hybrid approach. We conclude that there is no added value for the clearly defined clusters but that the second-order similarity can provide an additional viewpoint for the more general clusters.
C1 [Thijs, Bart; Glanzel, Wolfgang] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Louvain, Belgium.
   [Thijs, Bart; Glanzel, Wolfgang] Katholieke Univ Leuven, Dept MSI, Louvain, Belgium.
   [Schiebel, Edgar] AIT Austrian Inst Technol GmbH, Vienna, Austria.
   [Glanzel, Wolfgang] LHAS, Dept Sci Policy & Scientometr, Budapest, Hungary.
RP Glanzel, W (reprint author), Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Louvain, Belgium.
EM Bart.Thijs@kuleuven.be; Edgar.Schiebel@ait.ac.at;
   Wolfgang.Glanzel@kuleuven.de
RI Thijs, Bart/C-2995-2008; Schiebel, Edgar/C-6529-2009; Glanzel,
   Wolfgang/A-6280-2008
OI Thijs, Bart/0000-0003-0446-8332; Schiebel, Edgar/0000-0002-6701-2968;
   Glanzel, Wolfgang/0000-0001-7529-5198
CR ROUSSEEUW PJ, 1987, J COMPUT APPL MATH, V20, P53, DOI 10.1016/0377-0427(87)90125-7
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   Ahlgren P, 2009, J INFORMETR, V3, P49, DOI 10.1016/j.joi.2008.11.003
   Boyack KW, 2010, J AM SOC INF SCI TEC, V61, P2389, DOI 10.1002/asi.21419
   Schiebel E, 2012, SCIENTOMETRICS, V91, P557, DOI 10.1007/s11192-012-0626-8
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NR 16
TC 4
Z9 4
U1 4
U2 47
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2013
VL 96
IS 3
BP 667
EP 677
DI 10.1007/s11192-012-0896-1
PG 11
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 205IL
UT WOS:000323437400001
ER

PT J
AU De Visscher, A
AF De Visscher, Alex
TI A new Price's estimate on the size of scientific specialties based on
   scientific community structure
SO SCIENTOMETRICS
LA English
DT Article
DE Specialty; Scientific community; Price; Articles; Journals
AB Price argued that the average scientific specialty consists of about 100 scientists, publishing an average 100 articles each during their career. Wray recently attempted to revise the number of scientists in a specialty based on the information that the average scientist publishes only 3.5 papers during their career. However, his final estimate, between 250 and 600 scientists, does not support Price's idea that a specialty fills about 10,000 articles, unless the ad hoc assumption is made that nearly 80 % of articles circulating in a field are from other fields. This article shows that by distinguishing between graduate students, who spend only a couple of years in a specialty, and professors, who spend their entire career in a field, the ad hoc assumption becomes unnecessary, and Wray's number of 600 scientists turns out to be a remarkable intuitive insight that is consistent with Price's 10,000 articles. A number of 520 scientists, or somewhat larger, is suggested for Price's estimate.
C1 [De Visscher, Alex] Univ Calgary, Dept Chem & Petr Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada.
   [De Visscher, Alex] Univ Calgary, Schulich Sch Engn, CEERE, Calgary, AB, Canada.
RP De Visscher, A (reprint author), Univ Calgary, Dept Chem & Petr Engn, Schulich Sch Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada.
EM adevissc@ucalgary.ca
OI De Visscher, Alex/0000-0002-2464-7605
CR de Solla Price DJ, 1963, LITTLE SCI BIG SCI
   Wray KB, 2010, SCIENTOMETRICS, V83, P471, DOI 10.1007/s11192-009-0060-8
NR 2
TC 0
Z9 0
U1 0
U2 13
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2013
VL 96
IS 3
BP 937
EP 940
DI 10.1007/s11192-012-0897-0
PG 4
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 205IL
UT WOS:000323437400020
ER

PT J
AU Chi, RB
   Young, J
AF Chi, Ruobing
   Young, Jonathan
TI The interdisciplinary structure of research on intercultural relations:
   a co-citation network analysis study
SO SCIENTOMETRICS
LA English
DT Article
DE Network analysis; Co-citation network; Bibliometric analysis;
   Intercultural relations; Intercultural communication
AB This study aims to map the content and structure of the knowledge base of research on intercultural relations as revealed in co-citation networks of 30 years of scholarly publications. Source records for extracting co-citation information are retrieved from Web of Science (1980-2010) through comprehensive keyword search and filtered by manual semantic coding. Exploratory network and content analysis is conducted (1) to discover the development of major research themes and the relations between them over time; (2) to locate representative core publications (the stars) that are highly co-cited with others and those (the bridges) connecting more between rather than within subfields or disciplines. Structural analysis of the co-citation networks identifies a core cluster that contains foundational knowledge of this domain. It is well connected to almost all the other clusters and covers a wide range of subject categories. The evolutionary path of research themes shows trends moving towards (e.g. psychology and business and economics) and away from (e.g. language education and communication) the core cluster over time. Based on the results, a structural framework of the knowledge domain of intercultural relations research is proposed to represent thematic relatedness between topical groups and their relations.
C1 [Chi, Ruobing; Young, Jonathan] Univ Hawaii Manoa, Interdisciplinary PhD Program Commun & Informat S, Honolulu, HI 96822 USA.
   [Chi, Ruobing] Shanghai Int Studies Univ, Intercultural Inst, Shanghai, Peoples R China.
RP Chi, RB (reprint author), Univ Hawaii Manoa, Interdisciplinary PhD Program Commun & Informat S, Honolulu, HI 96822 USA.
EM ruobing@hawaii.edu; jsyoung@hawaii.edu
CR Leydesdorff L, 2006, J AM SOC INF SCI TEC, V57, P1616, DOI 10.1002/asi.20335
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NR 13
TC 2
Z9 2
U1 8
U2 105
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2013
VL 96
IS 1
BP 147
EP 171
DI 10.1007/s11192-012-0894-3
PG 25
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 164IB
UT WOS:000320401500009
ER

PT J
AU Song, M
   Kim, SY
AF Song, Min
   Kim, Su Yeon
TI Detecting the knowledge structure of bioinformatics by mining full-text
   collections
SO SCIENTOMETRICS
LA English
DT Article
DE Text mining; PubMed Central; Bioinformatics
ID COCITATION ANALYSIS; AUTHOR COCITATION; PUBLICATION; NETWORKS; PAGERANK;
   SCIENCE; TOOL
AB Bioinformatics is a fast-growing, diverse research field that has recently gained much public attention. Even though there are several attempts to understand the field of bioinformatics by bibliometric analysis, the proposed approach in this paper is the first attempt at applying text mining techniques to a large set of full-text articles to detect the knowledge structure of the field. To this end, we use PubMed Central full-text articles for bibliometric analysis instead of relying on citation data provided in Web of Science. In particular, we develop text mining routines to build a custom-made citation database as a result of mining full-text. We present several interesting findings in this study. First, the majority of the papers published in the field of bioinformatics are not cited by others (63 % of papers received less than two citations). Second, there is a linear, consistent increase in the number of publications. Particularly year 2003 is the turning point in terms of publication growth. Third, most researches of bioinformatics are driven by USA-based institutes followed by European institutes. Fourth, the results of topic modeling and word co-occurrence analysis reveal that major topics focus more on biological aspects than on computational aspects of bioinformatics. However, the top 10 ranked articles identified by PageRank are more related to computational aspects. Fifth, visualization of author co-citation analysis indicates that researchers in molecular biology or genomics play a key role in connecting sub-disciplines of bioinformatics.
C1 [Song, Min; Kim, Su Yeon] Yonsei Univ, Dept Lib & Informat Sci, Seoul 120749, South Korea.
RP Song, M (reprint author), Yonsei Univ, Dept Lib & Informat Sci, 50 Yonsei Ro, Seoul 120749, South Korea.
EM min.song@yonsei.ac.kr; suyeon@yonsei.ac.kr
OI Song, Min/0000-0003-3255-1600
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NR 32
TC 5
Z9 5
U1 8
U2 67
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2013
VL 96
IS 1
BP 183
EP 201
DI 10.1007/s11192-012-0900-9
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 164IB
UT WOS:000320401500011
ER

PT J
AU Avila-Robinson, A
   Miyazaki, K
AF Avila-Robinson, Alfonso
   Miyazaki, Kumiko
TI Evolutionary paths of change of emerging nanotechnological innovation
   systems: the case of ZnO nanostructures
SO SCIENTOMETRICS
LA English
DT Article
DE Emerging technologies; Knowledge bases; Evolutionary change;
   Nanotechnology; Nanomaterials; Co-citation networks
ID TECHNOLOGICAL-CHANGE; PROBLEM SEQUENCES; KNOW-HOW; SCIENCE; KNOWLEDGE;
   TRAJECTORIES; DIRECTIONS; ISSUES
AB This paper puts forward a quantitative approach aimed at the understanding of the evolutionary paths of change of emerging nanotechnological innovation systems. The empirical case of the newly emerging zinc oxide one-dimensional nanostructures is used. In line with other authors, 'problems' are visualized as those aspects guiding the dynamics of innovation systems. It is argued that the types of problems confronted by an innovation system, and in turn its dynamics of change, are imprinted on the nature of the underlying knowledge bases. The latter is operationalized through the construction of co-citation networks from scientific publications. We endow these co-citation networks with directionality through the allocation of a particular problem, drawn from a 'problem space' for nanomaterials, to each network node. By analyzing the longitudinal, structural and cognitive changes undergone by these problem-attached networks, we attempt to infer the nature of the paths of change of emerging nanotechnological innovation systems. Overall, our results stress the evolutionary mechanisms underlying change in a specific N&N subfield. It is observed that the latter may exert significant influence on the innovative potentials of nanomaterials.
C1 [Avila-Robinson, Alfonso; Miyazaki, Kumiko] Tokyo Inst Technol, Grad Sch Innovat Management, Meguro Ku, Tokyo 1528550, Japan.
RP Avila-Robinson, A (reprint author), Tokyo Inst Technol, Grad Sch Innovat Management, Meguro Ku, 2-12-1 Ookayama, Tokyo 1528550, Japan.
EM alfonso.avila@gmx.net; miyazaki@mot.titech.ac.jp
FU MEXT scholarship (Ministry of Education, Culture, Sports, Science and
   Technology, Japan)
FX The first author wishes to acknowledge financial support from the MEXT
   scholarship (Ministry of Education, Culture, Sports, Science and
   Technology, Japan) for carrying out this research. The authors are
   grateful to the editor and two anonymous reviewers for their thoughtful
   and constructive comments on earlier versions of this paper. We would
   also like to thank Prof. Dmitri Golberg (International Center for
   Materials Nanoarchitectonics MANA at the National Institute for
   Materials Science NIMS, Tsukuba, Japan) for his invaluable insights into
   the field of nanomaterials.
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NR 56
TC 2
Z9 2
U1 3
U2 40
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2013
VL 95
IS 3
BP 829
EP 849
DI 10.1007/s11192-012-0939-7
PG 21
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 142OO
UT WOS:000318807000001
ER

PT J
AU Tseng, YH
   Chang, CY
   Tutwiler, MS
   Lin, MC
   Barufaldi, JP
AF Tseng, Yuen-Hsien
   Chang, Chun-Yen
   Tutwiler, M. Shane
   Lin, Ming-Chao
   Barufaldi, James P.
TI A scientometric analysis of the effectiveness of Taiwan's educational
   research projects
SO SCIENTOMETRICS
LA English
DT Article
DE Journal clustering; Subfield identification; Research evaluation;
   Performance ranking; Educational research
ID RESEARCH PERFORMANCE; SOCIAL-SCIENCES; UNIVERSITIES; HUMANITIES; INDEX;
   INTERNATIONALIZATION; OUTPUT
AB The seeking of evidence for revealing the research performance of Education in Taiwan, in response to the stimulus by the national research projects, is presented and interpreted. More than 70,000 publication records over the years 1990-2011 from Web of Science were downloaded and analyzed. The overview analysis by data aggregation and country ranking shows that Taiwan has significantly improved its publication productivity and citation impact over the last decade. The drill-down analysis based on journal bibliographic coupling, information visualization, and diversity and trend indexes, reveals that e-Learning and Science Education are two fast growing subfields that attract global interests and that Taiwan is among the top-ranked countries in these two fields in terms of research productivity. Implications of the analysis are discussed with an emphasis on the subfield characteristics from which more insightful interpretations can be obtained, such as the regional or cultural characteristics that may affect the performance ranking.
C1 [Tseng, Yuen-Hsien] Natl Taiwan Normal Univ, Ctr Informat Technol, Taipei 106, Taiwan.
   [Chang, Chun-Yen] Natl Taiwan Normal Univ, Dept Earth Sci, Taipei 116, Taiwan.
   [Chang, Chun-Yen] Natl Taiwan Normal Univ, Grad Inst Sci Educ, Taipei 116, Taiwan.
   [Chang, Chun-Yen; Tutwiler, M. Shane; Lin, Ming-Chao] Natl Taiwan Normal Univ, Sci Educ Ctr, Taipei 106, Taiwan.
   [Tutwiler, M. Shane] Harvard Univ, Grad Sch Educ, Cambridge, MA 02138 USA.
   [Barufaldi, James P.] Univ Texas Austin, Ctr STEM Educ, Austin, TX 78712 USA.
RP Tseng, YH (reprint author), Natl Taiwan Normal Univ, Ctr Informat Technol, Taipei 106, Taiwan.
EM samtseng@ntnu.edu.tw; changcy@ntnu.edu.tw; mst216@mail.harvard.edu;
   mingchaolin@ntnu.edu.tw; jamesb@austin.utexas.edu
RI Chang, Chun-Yen/B-1307-2008; 
OI Chang, Chun-Yen/0000-0003-2373-2004; Tseng,
   Yuen-Hsien/0000-0001-8904-7902
FU "Aim for the Top University Project" of National Taiwan Normal
   University (NTNU); Ministry of Education, Taiwan, ROC; National Science
   Council (NSC) of Taiwan [NSC 100-2511-S-003-053-MY2]
FX The authors would like to thank the anonymous reviewers for their
   valuable comments and helpful suggestions. This work is supported in
   part by the "Aim for the Top University Project" of National Taiwan
   Normal University (NTNU) sponsored by the Ministry of Education, Taiwan,
   ROC. This work is also supported in part by the National Science Council
   (NSC) of Taiwan under the grant NSC 100-2511-S-003-053-MY2.
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NR 45
TC 2
Z9 2
U1 6
U2 54
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2013
VL 95
IS 3
BP 1141
EP 1166
DI 10.1007/s11192-013-0966-z
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 142OO
UT WOS:000318807000019
ER

PT J
AU Tseng, YH
   Tsay, MY
AF Tseng, Yuen-Hsien
   Tsay, Ming-Yueh
TI Journal clustering of library and information science for subfield
   delineation using the bibliometric analysis toolkit: CATAR
SO SCIENTOMETRICS
LA English
DT Article
DE Document clustering; Bibliographic coupling; Journal classification;
   Research performance evaluation; Freeware
ID COCITATION ANALYSIS; SCIENTIFIC JOURNALS; CITATION ANALYSIS;
   RESEARCH-FRONT; NETWORKS; MAPS; DOCUMENTS; INDEX
AB A series of techniques based on bibliometric clustering and mapping for scientometrics analysis was implemented in a software toolkit called CATAR for free use. Application of the toolkit to the field of library and information science (LIS) based on journal clustering for subfield identification and analysis to suggest a proper set of LIS journals for research evaluation is described. Two sets of data from Web of Science in the Information Science & Library Science (IS&LS) subject category of Journal Citation Reports were analyzed: one ranges from year 2000 to 2004, the other from 2005 to 2009. The clustering results in graphic dendrograms and multi-dimensional scaling maps from both datasets consistently show that some IS&LS journals clustered in the management information systems subfield are distant from the other journals in terms of their intellectual base. Additionally, the cluster characteristics analyzed based on a diversity index reveals the regional characteristics for some identified subfields. Since journal classification has become a high-stake issue that affects the evaluation of scholars and universities in some East Asian countries, both cases (isolation in intellectual base and regionalism in national interest) should be taken into consideration when developing research evaluation in LIS based on journal classification and ranking for the evaluation to be fairly implemented without biasing future LIS research.
C1 [Tseng, Yuen-Hsien] Natl Taiwan Normal Univ, Ctr Informat Technol, Taipei, Taiwan.
   [Tsay, Ming-Yueh] Natl Chengchi Univ, Grad Inst Lib Informat & Archival Studies, Taipei 11623, Taiwan.
RP Tsay, MY (reprint author), Natl Chengchi Univ, Grad Inst Lib Informat & Archival Studies, 64 Chihnan Rd,Sec 2 Wenshan, Taipei 11623, Taiwan.
EM samtseng@ntnu.edu.tw; mytsay@nccu.edu.tw
OI Tseng, Yuen-Hsien/0000-0001-8904-7902; Tsay,
   Ming-Yueh/0000-0001-5484-1313
FU "Aim for the Top University Project" of National Taiwan Normal
   University (NTNU); Ministry of Education, Taiwan, ROC; National Science
   Council (NSC) of Taiwan [NSC 100-2511-S-003-053-MY2]
FX This work is supported in part by the "Aim for the Top University
   Project" of National Taiwan Normal University (NTNU) sponsored by the
   Ministry of Education, Taiwan, ROC. This work is also supported in part
   by the National Science Council (NSC) of Taiwan under the Grant NSC
   100-2511-S-003-053-MY2. We are grateful to the anonymous reviewers for
   their valuable comments and suggestions.
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NR 65
TC 8
Z9 8
U1 9
U2 165
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2013
VL 95
IS 2
BP 503
EP 528
DI 10.1007/s11192-013-0964-1
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 128CT
UT WOS:000317746900002
ER

PT J
AU Belter, CW
AF Belter, Chris W.
TI A bibliometric analysis of NOAA's Office of Ocean Exploration and
   Research
SO SCIENTOMETRICS
LA English
DT Article
DE Citation analysis; Bibliometric mapping; Research funding; Research
   evaluation; Science policy
ID COMPLEX NETWORKS; IMPACT; SCIENCE; CITATION; GRANTS; FOUNDATION;
   SOCIETY; PRODUCTIVITY; TECHNOLOGY; COCITATION
AB Bibliometric analysis techniques are increasingly being used to analyze and evaluate scientific research produced by institutions and grant funding agencies. This article uses bibliometric methods to analyze journal articles funded by NOAA's Office of Ocean Exploration and Research (OER), an extramural grant-funding agency focused on the scientific exploration of the world's oceans. OER-supported articles in this analysis were identified through grant reports, personal communication, and acknowledgement of OER support or grant numbers. The articles identified were analyzed to determine the number of publications and citations received per year, subject, and institution. The productivity and citation impact of institutions in the US receiving OER grant funding were mapped geographically. Word co-occurrence and bibliographic coupling networks were created and visualized to identify the research topics of OER-supported articles. Finally, article citation counts were evaluated by means of percentile ranks. This article demonstrates that bibliometric analysis can be useful for summarizing and evaluating the research performance of a grant funding agency.
C1 NOAA, LAC Grp, Cent Lib, Silver Spring, MD 20910 USA.
RP Belter, CW (reprint author), NOAA, LAC Grp, Cent Lib, Silver Spring, MD 20910 USA.
EM chris.belter@noaa.gov
RI Belter, Christopher/L-6487-2013
OI Belter, Christopher/0000-0001-5221-6880
FU NOAA Office of Ocean Exploration and Research; Information Management
   Team at NOAA's National Oceanographic Data Center
FX I thank Mary Lou Cumberpatch for beginning the process of identifying
   OER publications and for setting up the initial database that I worked
   from. I also thank Joycelyn Carandang for identifying additional
   articles used in this analysis. Stanley Elswick, Albert "Skip" Theberge,
   Ken Casey, Tim Boyer, and Mashkoor Malik provided valuable suggestions
   to improve the manuscript. This work was supported by funding from the
   NOAA Office of Ocean Exploration and Research to the OER Data and
   Information Management Team at NOAA's National Oceanographic Data
   Center. Use of products or software in this analysis does not imply
   endorsement by NOAA or the US Government. Opinions and suggestions
   contained in this article are solely mine and do not necessarily reflect
   those of NOAA, the Department of Commerce, or the US Government.
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NR 43
TC 4
Z9 4
U1 10
U2 66
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2013
VL 95
IS 2
BP 629
EP 644
DI 10.1007/s11192-012-0836-0
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 128CT
UT WOS:000317746900009
ER

PT J
AU Ahlgren, P
   Persson, O
   Tijssen, R
AF Ahlgren, Per
   Persson, Olle
   Tijssen, Robert
TI Geographical distance in bibliometric relations within epistemic
   communities
SO SCIENTOMETRICS
LA English
DT Article
DE Direct citations; Co-authorships; Co-citations; Geographical distance;
   Shared references
ID SCIENTIFIC COLLABORATION; SCIENCE; PATTERNS; KILOMETERS; CITATION;
   EUROPE
AB Scientists collaborate increasingly on a global scale. Does this trend also hold for other bibliometric relations such as direct citations, cocitations and shared references? This study examines citation-based relations in publications published in the journal Scientometrics from 1981 to 2010. Different measures of Mean Geographical Distance (MGD) are tested. If we take all citation links into consideration, there is no indication of MGD increase, but when we look at maximum distances of each relation, a weak tendency of increasing MGD could be observed. One major factor behind the lack of growth of mean distances is the form of the distribution of citation links over distances. Our data suggest that the interactions might grow simultaneously for both short and long distances.
C1 [Ahlgren, Per] Stockholm Univ, Univ Lib, Dept E Resources, SE-10691 Stockholm, Sweden.
   [Persson, Olle] Umea Univ, Inforsk, Dept Sociol, SE-90187 Umea, Sweden.
   [Tijssen, Robert] Leiden Univ, Ctr Sci & Technol Studies CWTS, NL-2300 AX Leiden, Netherlands.
RP Ahlgren, P (reprint author), Stockholm Univ, Univ Lib, Dept E Resources, SE-10691 Stockholm, Sweden.
EM per.ahlgren@sub.su.se; olle.persson@soc.umu.se;
   tijssen@cwts.leidenuniv.nl
RI Ahlgren, Per/A-5189-2009; Tijssen, Robert/B-2397-2009
OI Ahlgren, Per/0000-0003-0229-3073; 
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TC 2
Z9 2
U1 8
U2 51
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2013
VL 95
IS 2
BP 771
EP 784
DI 10.1007/s11192-012-0819-1
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 128CT
UT WOS:000317746900016
ER

PT J
AU Erdi, P
   Makovi, K
   Somogyvari, Z
   Strandburg, K
   Tobochnik, J
   Volf, P
   Zalanyi, L
AF Erdi, Peter
   Makovi, Kinga
   Somogyvari, Zoltan
   Strandburg, Katherine
   Tobochnik, Jan
   Volf, Peter
   Zalanyi, Laszlo
TI Prediction of emerging technologies based on analysis of the US patent
   citation network
SO SCIENTOMETRICS
LA English
DT Article
DE Patent citation; Network; Co-citation clustering; Technological
   evolution
ID SCIENCE-AND-TECHNOLOGY; COCITATION CLUSTERS; SCIENTIFIC PUBLICATIONS;
   MULTIPLE INDICATORS; EXAMINER CITATIONS; MEASURING PROGRESS; KNOWLEDGE
   FLOWS; RESEARCH FRONTS; INNOVATION; EVOLUTION
AB The network of patents connected by citations is an evolving graph, which provides a representation of the innovation process. A patent citing another implies that the cited patent reflects a piece of previously existing knowledge that the citing patent builds upon. A methodology presented here (1) identifies actual clusters of patents: i.e., technological branches, and (2) gives predictions about the temporal changes of the structure of the clusters. A predictor, called the citation vector, is defined for characterizing technological development to show how a patent cited by other patents belongs to various industrial fields. The clustering technique adopted is able to detect the new emerging recombinations, and predicts emerging new technology clusters. The predictive ability of our new method is illustrated on the example of USPTO subcategory 11, Agriculture, Food, Textiles. A cluster of patents is determined based on citation data up to 1991, which shows significant overlap of the class 442 formed at the beginning of 1997. These new tools of predictive analytics could support policy decision making processes in science and technology, and help formulate recommendations for action.
C1 [Erdi, Peter; Makovi, Kinga; Tobochnik, Jan; Zalanyi, Laszlo] Kalamazoo Coll, Ctr Complex Syst Studies, Kalamazoo, MI 49006 USA.
   [Erdi, Peter; Makovi, Kinga; Somogyvari, Zoltan; Volf, Peter; Zalanyi, Laszlo] Hungarian Acad Sci, Complex Syst & Computat Neurosci Grp, Wigner Res Ctr Phys, Budapest, Hungary.
   [Makovi, Kinga] Columbia Univ, Dept Sociol, New York, NY 10027 USA.
   [Strandburg, Katherine] NYU, Sch Law, New York, NY 10003 USA.
   [Volf, Peter] Budapest Univ Technol & Econ, Dept Measurement & Informat Syst, Budapest, Hungary.
   [Volf, Peter] Nokia Siemens Network, Network & Subscriber Data Management, Budapest, Hungary.
RP Erdi, P (reprint author), Kalamazoo Coll, Ctr Complex Syst Studies, 1200 Acad St, Kalamazoo, MI 49006 USA.
EM perdi@kzoo.edu
FU Henry Luce Foundation; Toyota Research Institue
FX PE thanks the Henry Luce Foundation and the Toyota Research Institue for
   their support. KJS acknowledges the generous support of The Filomen
   D'Agostino and Max E. Greenberg Research Fund. Thanks for Fulop Bazso,
   Mihaly Banyai, Judit Szente, Balazs Ujfalussy for discussions.
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NR 85
TC 14
Z9 14
U1 22
U2 207
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2013
VL 95
IS 1
BP 225
EP 242
DI 10.1007/s11192-012-0796-4
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 105DO
UT WOS:000316046000015
ER

PT J
AU Liu, GF
AF Liu, Guifeng
TI Visualization of patents and papers in terahertz technology: a
   comparative study
SO SCIENTOMETRICS
LA English
DT Article
DE Scientometrics; CiteSpace; Aureka; Thomson innovation; Visualization;
   Patent; Terahertz
ID QUANTUM CASCADE LASER; OPTICAL RECTIFICATION; SCIENTIFIC LITERATURE;
   DOMAIN VISUALIZATION; KNOWLEDGE; SPECTROSCOPY; SCIENCE; GENERATION;
   RADIATION; CITATION
AB Terahertz technology is one of the most promising research areas in the 21st century. In this work, we intend to compare the research status quo on terahertz technology between 1990 and 2010 using knowledge domain visualization techniques. Our data consists of 633 patents retrieved from Aureka management platform and 10,344 journal articles indexed in the ISI web of knowledge. Our analysis is a combination of two information visualization tools for analysis, Aureka and CiteSpace. Aureka is allowed for the analysis of patents filed/granted each year, priority country, inventors, assignees, citation counting, and cluster analysis, while networks of co-authors, countries, institutions, document co-citation networks and document co-citation clusters, are performed by CiteSpace. This research provides a comprehensive domain visualization map of innovation and knowledge in the area of terahertz technology. Our result shows that Aureka and CiteSpace are two promising visualization approaches to analyze patents and papers in any given field.
C1 Jiangsu Univ, Inst Sci & Tech Informat, Zhenjiang 212013, Peoples R China.
RP Liu, GF (reprint author), Jiangsu Univ, Inst Sci & Tech Informat, Zhenjiang 212013, Peoples R China.
EM liuguifeng29@163.com
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NR 51
TC 3
Z9 4
U1 31
U2 288
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2013
VL 94
IS 3
BP 1037
EP 1056
DI 10.1007/s11192-012-0782-x
PG 20
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 087HZ
UT WOS:000314753500016
ER

PT J
AU Barirani, A
   Agard, B
   Beaudry, C
AF Barirani, Ahmad
   Agard, Bruno
   Beaudry, Catherine
TI Discovering and assessing fields of expertise in nanomedicine: a patent
   co-citation network perspective
SO SCIENTOMETRICS
LA English
DT Article
DE Knowledge discovery; Nanomedicine; Self-organization; Trend analysis;
   Citation network analysis; S-curve
ID US SEMICONDUCTOR INDUSTRY; COMMUNITY STRUCTURE; CITATIONS;
   NANOTECHNOLOGY; TECHNOLOGY; INNOVATION; INDICATORS; SCIENCE;
   COMMERCIALIZATION; SPILLOVERS
AB Discovering and assessing fields of expertise in emerging technologies from patent data is not straightforward. First, patent classification in an emerging technology being far from complete, the definitions of the various applications of its inventions are embedded within communities of practice. Because patents must contain full record of prior art, co-citation networks can, in theory, be used to identify and delineate the inventive effort of these communities of practice. However, the use patent citations for the purpose of measuring technological relatedness is not obvious because they can be added by examiners. Second, the assessment of the development stage of emerging industries has been mostly done through simple patent counts. Because patents are not all valuable, a better way of evaluating an industry's stage of development would be to use multiple patent quality metrics as well as economic activity agglomeration indicators. The purpose of this article is to validate the use of (1) patent citations as indicators of technological relatedness, and (2) multiple indicators for assessing an industry's development stage. Greedy modularity optimization of the 'Canadian-made' nanotechnology patent co-citation network shows that patent citations can effectively be used as indicators of technological relatedness. Furthermore, the use of multiple patent quality and economic agglomeration indicators offers better assessment and forecasting potential than simple patent counts.
C1 [Barirani, Ahmad; Agard, Bruno; Beaudry, Catherine] Ecole Polytech, Dept Math & Genie Ind, Montreal, PQ H3T 1J4, Canada.
RP Agard, B (reprint author), Ecole Polytech, Dept Math & Genie Ind, 2500 Ch Polytech, Montreal, PQ H3T 1J4, Canada.
EM bruno.agard@polymtl.ca
FU SSHRC; CIHR; NSERC
FX We would like to thank the SSHRC, the CIHR and the NSERC for their
   financial support. We are also immensely indebted to two anonymous
   reviewers who have contributed to raising the quality of this article
   through their insightful comments and recommendations.
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NR 86
TC 4
Z9 4
U1 12
U2 140
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2013
VL 94
IS 3
BP 1111
EP 1136
DI 10.1007/s11192-012-0891-6
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 087HZ
UT WOS:000314753500020
ER

PT J
AU Ni, CQ
   Sugimoto, CR
   Cronin, B
AF Ni, Chaoqun
   Sugimoto, Cassidy R.
   Cronin, Blaise
TI Visualizing and comparing four facets of scholarly communication:
   producers, artifacts, concepts, and gatekeepers
SO SCIENTOMETRICS
LA English
DT Article
DE Producers; Artifacts; Concepts; Gatekeepers; Scholarly communication;
   Bibliometrics
ID SCIENTIFIC CO-AUTHORSHIP; COCITATION ANALYSIS; JOURNAL LITERATURE;
   COLLABORATION; SCIENCE; PATTERNS; LIBRARY; FIELD; SCIENTOMETRICS;
   BIBLIOMETRICS
AB This paper extends Borgman's (Communication Research 16: 583, 1989) three-facet framework (artifacts, producers, concepts) for bibliometric analyses of scholarly communication by adding a fourth gatekeepers. The four-facet framework was applied to the field of Library and Information Science to test for variations in the networks produced using operationalizations of each of these four facets independently. Fifty-eight journals from the Information Science and Library Science category in the 2008 Journal Citation Report were studied and the network proximity of these journals based on Venue-Author-Coupling (producer), journal co-citation analysis (artifact), topic analysis (concept) and interlocking editorial board membership (gatekeeper) was measured. The resulting networks were examined for potential correlation using the Quadratic Assignment Procedure. The results indicate some consensus regarding core journals, but significant differences among some networks. Holistic measures of scholarly communication that take multiple facets into account are proposed. This work is relevant in an assessment-conscious and metrics-driven age.
C1 [Ni, Chaoqun; Sugimoto, Cassidy R.; Cronin, Blaise] Indiana Univ, Sch Lib & Informat Sci, Bloomington, IN 47401 USA.
RP Ni, CQ (reprint author), Indiana Univ, Sch Lib & Informat Sci, 1320 E 10th St, Bloomington, IN 47401 USA.
EM chni@indiana.edu; sugimoto@indiana.edu; bcronin@indiana.edu
OI Ni, Chaoqun/0000-0002-4130-7602
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NR 54
TC 14
Z9 15
U1 14
U2 120
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2013
VL 94
IS 3
BP 1161
EP 1173
DI 10.1007/s11192-012-0849-8
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 087HZ
UT WOS:000314753500022
ER

PT J
AU Shiau, WL
   Dwivedi, YK
AF Shiau, Wen-Lung
   Dwivedi, Yogesh K.
TI Citation and co-citation analysis to identify core and emerging
   knowledge in electronic commerce research
SO SCIENTOMETRICS
LA English
DT Article
DE Citation analysis; Classification; Electronic commerce; Co-citation
ID TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-SYSTEMS SUCCESS; INTELLECTUAL
   STRUCTURE; USER ACCEPTANCE; ONLINE MARKETPLACES; INVISIBLE-COLLEGES;
   SCALE DEVELOPMENT; TRUST; BEHAVIOR; MANAGEMENT
AB The purpose of this paper is to explore the core and emerging knowledge of electronic commerce (e-commerce) research. Data was collected from the top six e-commerce journals from 2006-2010. A total of 1,064 electronic commerce related articles and 33,173 references were identified. There were 48 high value research articles identified using a citation and co-citation analysis. Using statistical analysis including factor analysis, multidimensional scaling, and cluster analysis, we identified five research areas: trust, technology acceptance and technology application, e-commerce task-related application, e-markets, and identity and evaluation. We also identified emerging core knowledge, information systems success. The findings of this study provide core knowledge and directions for researchers and practitioners interested in the electronic commerce field.
C1 [Shiau, Wen-Lung] Ming Chuan Univ, Dept Informat Management, Gueishan Township 333, Taoyuan County, Taiwan.
   [Dwivedi, Yogesh K.] Swansea Univ, Sch Business & Econ, Swansea SA2 8PP, W Glam, Wales.
RP Dwivedi, YK (reprint author), Swansea Univ, Sch Business & Econ, Room 123,Haldane Bldg,Singleton Pk, Swansea SA2 8PP, W Glam, Wales.
EM mac@mail.mcu.edu.tw; ykdwivedi@gmail.com
RI Dwivedi, Yogesh/A-5362-2008
OI Dwivedi, Yogesh/0000-0002-5547-9990
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NR 102
TC 5
Z9 6
U1 9
U2 126
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2013
VL 94
IS 3
BP 1317
EP 1337
DI 10.1007/s11192-012-0807-5
PG 21
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 087HZ
UT WOS:000314753500031
ER

PT J
AU Eto, M
AF Eto, Masaki
TI Evaluations of context-based co-citation searching
SO SCIENTOMETRICS
LA English
DT Article
DE Citation searching; Co-citation; Co-citation context; Similar document
   search
ID CITATION ANALYSIS; INFORMATION-RETRIEVAL; COMPUTER RECOGNITION;
   DOCUMENT-RETRIEVAL; SCIENCE LITERATURE; CITING STATEMENTS; SCIENTIFIC
   PAPERS; INDICATORS; INDEXES; PAPER
AB Since machine-readable documents have become widespread, some recent studies have proposed retrieval methods using a combination of citation linkage and its context. In the case of co-citation linkage, there have been attempts to discern 'strong' co-citations from 'weak' ones by examining the positions of citations in a document. However, this promising concept has not yet been sufficiently evaluated, and it remains unclear whether search performance is significantly improved. Therefore, this paper explores the effects of using co-citation context more deeply and more widely by comparing the search performance of six retrieval methods, which differ as to whether co-citation context and normalization using cited frequency are used. For empirically evaluating the effects, a special test collection was created from CiteSeer Metadata, and the search performances of the six retrieval methods were compared by two IR metrics (AP and nDCG). The main conclusions of this paper are: (1) co-citation context has a positive effect on co-citation searching; (2) the normalization technique using cited frequency is useful for context-based co-citation searching; (3) approaches of using co-citation context tend to affect the characteristics of search performance.
C1 Gakushuin Womens Coll, Shinjuku Ku, Tokyo 1628650, Japan.
RP Eto, M (reprint author), Gakushuin Womens Coll, Shinjuku Ku, 3-20-1 Toyama, Tokyo 1628650, Japan.
EM masaki.eto@gakushuin.ac.jp
FU  [23700289]
FX The author is indebted to Prof. Kazuaki Kishida, Prof. Motomichi Toyama
   and Prof. Shunsaku Tamura, Keio University. This work was supported by a
   Grant-in-Aid for Scientific Research for Young Scientists (B) (No.
   23700289).
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NR 61
TC 1
Z9 1
U1 4
U2 55
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD FEB
PY 2013
VL 94
IS 2
BP 651
EP 673
DI 10.1007/s11192-012-0756-z
PG 23
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 072ZA
UT WOS:000313711500012
ER

PT J
AU Yeh, HY
   Sung, YS
   Yang, HW
   Tsai, WC
   Chen, DZ
AF Yeh, Hsi-Yin
   Sung, Yi-Shan
   Yang, Hsiao-Wen
   Tsai, Wan-Chu
   Chen, Dar-Zen
TI The bibliographic coupling approach to filter the cited and uncited
   patent citations: a case of electric vehicle technology
SO SCIENTOMETRICS
LA English
DT Article
DE Patent citation analysis; Bibliographic coupling; Citation time lag;
   Electric vehicle technology
ID INDICATORS; NETWORKS; MAP
AB Because some cited references are not relevant to the citing patent and not all the relevant references are cited, the study attempts to use the bibliographic coupling (BC) approach to filter the irrelevant patent citations and supplement the relevant uncited patent citations to construct a patent citation network (PCN). The study selected the field of electric vehicle technology to explore the phenomenon and examined the characteristics of PCNs in terms of the average BC strength and the average citation time lag. Four PCNs were constructed in this study. The aggregated PCN (APCN) excluded the irrelevant patent citations and added the relevant uncited patent citations, which has brought out significant improvement. The APCN became more concentrated and the information which reserved in the APCN was the most current. Additionally, some invisible technology clusters and relationships were also manifested in the APCN.
C1 [Chen, Dar-Zen] Natl Taiwan Univ, Dept Mech Engn, Taipei 10764, Taiwan.
   [Sung, Yi-Shan; Chen, Dar-Zen] Natl Taiwan Univ, Inst Ind Engn, Taipei 10764, Taiwan.
   [Yeh, Hsi-Yin; Sung, Yi-Shan; Tsai, Wan-Chu] Natl Taiwan Univ, Dept Lib & Informat Sci, Taipei 10764, Taiwan.
RP Chen, DZ (reprint author), Natl Taiwan Univ, Dept Mech Engn, Taipei 10764, Taiwan.
EM dzchen@ntu.edu.tw
RI Chen, Dar-Zen/D-1463-2012
OI Chen, Dar-Zen/0000-0002-7734-4835
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NR 35
TC 3
Z9 3
U1 9
U2 73
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2013
VL 94
IS 1
BP 75
EP 93
DI 10.1007/s11192-012-0820-8
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 063RA
UT WOS:000313016300005
ER

PT J
AU Gao, JP
   Ding, K
   Teng, L
   Pang, J
AF Gao, Ji-ping
   Ding, Kun
   Teng, Li
   Pang, Jie
TI Hybrid documents co-citation analysis: making sense of the interaction
   between science and technology in technology diffusion
SO SCIENTOMETRICS
LA English
DT Article
DE Hybrid documents co-citation; Technology diffusion; Cluster analysis;
   Network analysis
ID SCIENTIFIC LITERATURE; NANOTECHNOLOGY; LITERATURES; PERSPECTIVE;
   INDICATORS; PATTERNS; BUSINESS; PATENTS; LINKAGE; TRENDS
AB The paper presents a methodology called hybrid documents co-citation analysis, for studying the interaction between science and technology in technology diffusion. Our approach rests mostly on patent citation, cluster analysis and network analysis. More specifically, with the patents citing Smalley RE in Derwent innovations index as the data sets, the paper implemented hybrid documents co-citation network through two procedures. Then spectrum cluster algorithm was used to reveal the knowledge structure in technology diffusion. After that, with the concordance between network properties and technology diffusion mechanisms, three indicators containing degree, betweenness and citation half-life, were calculated to discuss the basic documents in the pivotal position during the technology diffusion. At last, the paper summarized the hybrid documents co-citation analysis in practise, thus concluded that science and technology undertook different functions and acted dominatingly in the different period of technology diffusion, though they were co-activity all the time.
C1 [Gao, Ji-ping; Ding, Kun; Teng, Li; Pang, Jie] Dalian Univ Technol, Inst Sci Studies & S&T Management, Dalian, Liaoning, Peoples R China.
   [Gao, Ji-ping; Ding, Kun; Teng, Li; Pang, Jie] Dalian Univ Technol, WISE Lab, Dalian, Liaoning, Peoples R China.
RP Gao, JP (reprint author), Dalian Univ Technol, Inst Sci Studies & S&T Management, 2 Linggong Rd, Dalian, Liaoning, Peoples R China.
EM tulipgao@mail.dlut.edu.cn
FU National Social Science Foundation of China [08BTQ025]; Specialized
   Research Fund for the Doctoral Program of Higher Education (SRFDP)
   [20110041110034]
FX This paper was initiated at the 13th ISSI Conference, Duban, South
   Africa. The authors would like to thank the anonymous referees for their
   helpful comments. And the authors also like to acknowledge the financial
   support from the National Social Science Foundation of China (Project
   No.08BTQ025) and Specialized Research Fund for the Doctoral Program of
   Higher Education (SRFDP) (20110041110034).
CR Lee M, 2010, TECHNOL FORECAST SOC, V77, P796, DOI 10.1016/j.techfore.2010.01.003
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NR 28
TC 2
Z9 2
U1 10
U2 86
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2012
VL 93
IS 2
BP 459
EP 471
DI 10.1007/s11192-012-0691-z
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 025XL
UT WOS:000310230400014
ER

PT J
AU Gautam, P
   Yanagiya, R
AF Gautam, Pitambar
   Yanagiya, Ryuichi
TI Reflection of cross-disciplinary research at Creative Research
   Institution (Hokkaido University) in the Web of Science database:
   appraisal and visualization using bibliometry
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT Joint Meeting of the 7th International Conference on Webometrics,
   Informetrics and Scientometrics / 12th COLLNET Meeting
CY SEP 20-23, 2011
CL Istanbul Bilgi Univ, Istanbul, TURKEY
SP COLLNET, Istanbul Bilgi Univ, Comp Sci Dept
HO Istanbul Bilgi Univ
DE Bibliometrics; Web of Science; Co-word analysis; Bibliographic coupling;
   Cross-disciplinary research; Science map; Japan
ID INTERDISCIPLINARITY
AB This study describes the results of a preliminary bibliometric analysis of 611 research items, published between 1996 and 2011 by researchers affiliated with Creative Research Institution (CRIS) and the Center for Advanced Science and Technology (CAST), Hokkaido University (HU), retrieved from the Web of Science (WoS) database. CRIS has a primary mission to promote cutting-edge, world-class, trans-departmental research within HU, and it conducts fundamental, commercialization-related, cross-disciplinary research and nurtures young in-house/recruited researchers through targeted, innovative tenure-track programs in multiple disciplines. Its research output derives from 3- to 7-year-long time-bound projects funded strategically by HU, external grants [e.g., MEXT Super-COE HU Research and Business Park Project (FY2003-7)], industry-university collaboration with regional businesses, and endowments (e.g., Meiji Dairies). Analyses using co-words, bibliographic coupling, overlay map aided with visualization, etc., lead to the following inferences: (i) The published items comprise a dozen well-defined (inter-)disciplinary clusters, dominated by 3 macro-disciplines (biomedical science, 33%; chemistry, 21%; agricultural science, ca. 10%) that constitute 18 clusters used for mapping; (ii) research conducted by externally funded or endowed projects in the biomedical, physical and environmental science and technology fields (3 broad areas of aggregation derived from the Science Overlay Map) is interdisciplinary; and (iii) there is an apparently low visibility of publications from projects jointly executed with industries to an almost complete absence of output from CRIS in the fields of social sciences in the WoS database.
C1 [Gautam, Pitambar; Yanagiya, Ryuichi] Hokkaido Univ, Creat Res Inst, Kita Ku, Sapporo, Hokkaido 0010021, Japan.
RP Gautam, P (reprint author), Hokkaido Univ, Creat Res Inst, Kita Ku, N21,W10, Sapporo, Hokkaido 0010021, Japan.
EM pgautam@cris.hokudai.ac.jp
RI Gautam, Pitambar/D-1473-2009
OI Gautam, Pitambar/0000-0001-8297-4359
CR Porter AL, 2007, SCIENTOMETRICS, V72, P117, DOI 10.1007/s11192-007-1700-5
   Leydesdorff L, 2011, J INFORMETR, V5, P87, DOI 10.1016/j.joi.2010.09.002
   Leydesdorff L, 2009, J AM SOC INF SCI TEC, V60, P348, DOI 10.1002/asi.20967
   van Eck NJ, 2010, SCIENTOMETRICS, V84, P523, DOI 10.1007/s11192-009-0146-3
   Batagelj Vladimir, 1996, PAJEK 2 00
   BibJourn.exe, 2011, PROGR COC AN J NAM R
   Hokkaido University, 2011, HOKK DAIG SOUS 9 NEN, P125
   Persson O., 2009, BIBEXCEL TOOLBOX BIB
   Rafols I, 2010, J AM SOC INF SCI TEC, V61, P1871, DOI 10.1002/asi.21368
   Wagner CS, 2011, J INFORMETR, V5, P14, DOI 10.1016/j.joi.2010.06.004
NR 10
TC 1
Z9 1
U1 7
U2 43
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2012
VL 93
IS 1
BP 101
EP 111
DI 10.1007/s11192-012-0655-3
PG 11
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 014EJ
UT WOS:000309357600008
ER

PT J
AU Wang, FF
   Qiu, JP
   Yu, HQ
AF Wang, Feifei
   Qiu, Junping
   Yu, Houqiang
TI Research on the cross-citation relationship of core authors in
   scientometrics
SO SCIENTOMETRICS
LA English
DT Article
DE Scientometrics; Author cross-citation; Knowledge communication; Academic
   community
ID INFORMATION-SCIENCE; COCITATION ANALYSIS; WEB
AB Generally speaking, citation relationship among authors can be divided into 3 types: co-citation, coupling and cross-citation. Since author co-citation analysis was first introduced in 1982, it has been widely applied to study discipline structure, research state and research trends. Afterwards, conception of author bibliographic-coupling analysis was put forward and related empirical studies provided a method for mapping active authors in a research field for a more realistic picture of the current state of its research activities. Additionally, if one of author A's papers has a citation from one of author B's, there is cross-citation relationship between A and B. However, studies based on author cross-citation relationship mainly describe citation behaviors themselves using citation identity and citation image; they rarely involve any implicit knowledge communication, author research correlation or discovering academic communities. Author cross-citation analysis infers to both citing and cited phenomenon, which can be roughly correspond to citation identity and citation image. The study will further explore the author cross-citation relationship with core authors in scientometrics field as study object in order to provide reference for development of scientometrics field and in-depth application of citation analysis.
C1 [Wang, Feifei; Yu, Houqiang] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
   [Qiu, Junping] Wuhan Univ, Res Ctr China Sci Evaluat, Wuhan 430072, Peoples R China.
RP Wang, FF (reprint author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China.
EM wangfei0256@sina.com
FU National Natural Science Foundation of China [70973093]; Fundamental
   Research Funds for the Central Universities [201110401020006]
FX This research is funded by the National Natural Science Foundation of
   China (Project no. 70973093) and supported by "the Fundamental Research
   Funds for the Central Universities'' (Project no. 201110401020006).
CR Zhao DZ, 2008, J AM SOC INF SCI TEC, V59, P2070, DOI 10.1002/asi.20910
   White HD, 2001, J AM SOC INF SCI TEC, V52, P87, DOI 10.1002/1097-4571(2000)9999:9999<::AID-ASI1542>3.3.CO;2-K
   [Anonymous], 1963, J AM DOCUMENTATION
   MCCAIN KW, 1990, J AM SOC INFORM SCI, V41, P433, DOI 10.1002/(SICI)1097-4571(199009)41:6<433::AID-ASI11>3.0.CO;2-Q
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   Hou H, 2008, SCIENTOMETRICS, V75, P189, DOI 10.1007/s11192-007-1771-3
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   Qiu J. P., 2007, INFORMETRICS, P192
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NR 17
TC 7
Z9 9
U1 6
U2 82
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2012
VL 91
IS 3
BP 1011
EP 1033
DI 10.1007/s11192-012-0621-0
PG 23
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 935PZ
UT WOS:000303533600024
ER

PT J
AU Glanzel, W
   Thijs, B
AF Glanzel, Wolfgang
   Thijs, Bart
TI Using 'core documents' for detecting and labelling new emerging topics
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 13th International Conference on Scientometrics and Informetrics
CY JUL 04-07, 2011
CL Univ Zululand, Durban, SOUTH AFRICA
SP Int Soc Scientometr & Informetr (ISSI), Durban Univ Technol
HO Univ Zululand
DE Hybrid clustering; Bibliographic coupling; Text mining; Core documents;
   Emerging topics
ID COCITATION ANALYSIS; CITATION; SCIENCE; TEXT
AB The notion of 'core documents', first introduced in the context of co-citation analysis and later re-introduced for bibliographic coupling and extended to hybrid approaches, refers to the representation of the core of a document set according to given criteria. In the present study, core documents are used for the identification of new emerging topics. The proposed method proceeds from independent clustering of disciplines in different time windows. Cross-citations between core documents and clusters in different periods are used to detect new, exceptionally growing clusters or clusters with changing topics. Three paradigmatic types of new, emerging topics are distinguished. Methodology is illustrated using the example of four ISI subject categories selected from the life sciences, applied sciences and the social sciences.
C1 [Glanzel, Wolfgang; Thijs, Bart] Katholieke Univ Leuven, Dept MSI, Ctr R&D Monitoring ECOOM, Louvain, Belgium.
   [Glanzel, Wolfgang] Hungarian Acad Sci, Inst Res Policy Studies, Budapest, Hungary.
RP Glanzel, W (reprint author), Katholieke Univ Leuven, Dept MSI, Ctr R&D Monitoring ECOOM, Louvain, Belgium.
EM Wolfgang.Glanzel@econ.kuleuven.be; Bart.Thijs@econ.kuleuven.be
RI Glanzel, Wolfgang/A-6280-2008; Thijs, Bart/C-2995-2008
OI Glanzel, Wolfgang/0000-0001-7529-5198; Thijs, Bart/0000-0003-0446-8332
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NR 20
TC 18
Z9 18
U1 8
U2 65
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2012
VL 91
IS 2
BP 399
EP 416
DI 10.1007/s11192-011-0591-7
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 921LD
UT WOS:000302478200008
ER

PT J
AU Liu, SB
   Chen, CM
AF Liu, Shengbo
   Chen, Chaomei
TI The proximity of co-citation
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 13th International Conference on Scientometrics and Informetrics
CY JUL 04-07, 2011
CL Univ Zululand, Durban, SOUTH AFRICA
SP Int Soc Scientometr & Informetr (ISSI), Durban Univ Technol
HO Univ Zululand
DE Co-citation proximity; Co-citation analysis; Citation contextual; PubMed
   Central
ID SCIENTIFIC LITERATURE; INDEX
AB Traditional co-citation analysis has not taken the proximity of co-cited references into account. As long as two references are cited by the same article, they are retreated equally regardless the distance between where citations appear in the article. Little is known about what additional insights into citation and co-citation behaviours one might gain from studying distributions of co-citation in terms of such proximity. How are citations distributed in an article? What insights does the proximity of co-citation provide? In this article, the proximity of a pair of co-cited reference is defined as the nearest instance of the co-citation relation in text. We investigate the proximity of co-citation in full text of scientific publications at four levels, namely, the sentence level, the paragraph level, the section level, and the article level. We conducted four studies of co-citation patterns in the full text of articles published in 22 open access journals from BioMed Central. First, we compared the distributions of co-citation instances at four proximity levels in journal articles to the traditional article-level co-citation counts. Second, we studied the distributions of co-citations of various proximities across organizational sections in articles. Third, the distribution of co-citation proximity in different co-citation frequency groups is investigated. Fourth, we identified the occurrences of co-citations at different proximity levels with reference to the corresponding traditional co-citation network. The results show that (1) the majority of co-citations are loosely coupled at the article level, (2) a higher proportion of sentence-level co-citations is found in high co-citation frequencies than in low co-citation frequencies, (3) tightly coupled sentence-level co-citations not only preserve the essential structure of the corresponding traditional co-citation network but also form a much smaller subset of the entire co-citation instances typically considered by traditional co-citation analysis. Implications for improving our understanding of underlying factors concerning co-citations and developing more efficient co-citation analysis methods are discussed.
C1 [Liu, Shengbo] Dalian Univ Technol, WISE Lab, Dalian, Peoples R China.
   [Chen, Chaomei] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
RP Liu, SB (reprint author), Dalian Univ Technol, WISE Lab, Dalian, Peoples R China.
EM liushengbo1121@gmail.com; chaomei.chen@drexel.edu
RI Chen, Chaomei/A-1252-2007; haiyun, xu/G-1237-2015
OI Chen, Chaomei/0000-0001-8584-1041; 
CR Chen CM, 2008, DATA KNOWL ENG, V67, P234, DOI 10.1016/j.datak.2008.05.004
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   Small H, 2011, SCIENTOMETRICS, V87, P373, DOI 10.1007/s11192-011-0349-2
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   Elkiss A, 2008, J AM SOC INF SCI TEC, V59, P51, DOI 10.1002/asi.20707
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   Mohammad S., 2009, P HUM LANG TECHN 200, P584, DOI DOI 10.3115/1620754.1620839
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   NANBA H., 1999, 16 INT JOINT C ART I, P926
   Nanba H., 2005, LECT NOTES COMPUT SC, P391
   Qazvinian V., 2008, P 22 INT C COMP LING, P689, DOI DOI 10.3115/1599081.1599168
   Qiaozhu M., 2008, P ACL 08, P816
   Siddharthan A., 2007, P NAACL HLT 07
   SMALL H, 1986, SCIENTOMETRICS, V10, P95, DOI 10.1007/BF02016863
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NR 23
TC 5
Z9 5
U1 10
U2 76
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2012
VL 91
IS 2
BP 495
EP 511
DI 10.1007/s11192-011-0575-7
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 921LD
UT WOS:000302478200014
ER

PT J
AU Schiebel, E
AF Schiebel, Edgar
TI Visualization of research fronts and knowledge bases by
   three-dimensional areal densities of bibliographically coupled
   publications and co-citations
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 13th International Conference on Scientometrics and Informetrics
CY JUL 04-07, 2011
CL Univ Zululand, Durban, SOUTH AFRICA
SP Int Soc Scientometr & Informetr (ISSI), Durban Univ Technol
HO Univ Zululand
DE Bibliographic coupling; Co-citation analysis; Science mapping;
   3D-visualisation; Research fronts; Knowledge bases; Local paper density;
   Battery research; Emerging research fronts; Jaccard index; Similarity;
   Spatial density
ID SCIENTIFIC LITERATURE; CITATION
AB In this work the well known scientometric concepts of bibliographically coupled publications and co-cited references were applied to produce interactive maps of research fronts and knowledge bases of research fields. This article proposes a method and some standardization for the detection and visualization of research fronts and knowledge bases with two and three dimensional graphics inspired by geographical maps. Agglomerations of bibliographically coupled publications with a common knowledge base are identified and graphically represented by a density function of publications per area unit. The research fronts become visible if publications with similar vectors of common citations are associated and visualized as an ensemble in a three dimensional graphical representation as a mountain scenery measured with the help of a spatial density. Knowledge bases were calculated in the same way. Maps similar to the geographic representation of oceans and islands are used to visualize the two-dimensional spatial density function of references weighted by individual links. The proposed methodology is demonstrated by publications in the field of battery research.
C1 AIT Austrian Inst Technol GmbH, A-1220 Vienna, Austria.
RP Schiebel, E (reprint author), AIT Austrian Inst Technol GmbH, Donau City Str, A-1220 Vienna, Austria.
EM edgar.schiebel@ait.ac.at
RI Schiebel, Edgar/C-6529-2009
OI Schiebel, Edgar/0000-0002-6701-2968
CR Boyack KW, 2010, J AM SOC INF SCI TEC, V61, P2389, DOI 10.1002/asi.21419
   Shibata N, 2009, J AM SOC INF SCI TEC, V60, P571, DOI 10.1002/asi.20994
   PERSSON O, 1994, J AM SOC INFORM SCI, V45, P31, DOI 10.1002/(SICI)1097-4571(199401)45:1<31::AID-ASI4>3.0.CO;2-G
   Liu Y, 2005, ELECTROCHEM SOLID ST, V8, pA599, DOI 10.1149/1.2056427
   PRICE DJD, 1965, SCIENCE, V149, P510
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   Chen C., 2003, P IEEE S INF VIS INF, P67
   KESSLER MM, 1963, AM DOC, V14, P10, DOI 10.1002/asi.5090140103
   Marshakova I. V., 1973, NAUCHNO TEKHNICHES 2, V26, P3
   Schiebel E, 2011, PRO INT CONF SCI INF, P756
   SMALL H, 1973, J AM SOC INFORM SCI, V24, P265, DOI 10.1002/asi.4630240406
NR 11
TC 7
Z9 7
U1 7
U2 61
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2012
VL 91
IS 2
BP 557
EP 566
DI 10.1007/s11192-012-0626-8
PG 10
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 921LD
UT WOS:000302478200018
ER

PT J
AU Sun, FJ
   Zhu, LJ
AF Sun, Fengjun
   Zhu, Lijun
TI Citation genetic genealogy: a novel insight for citation analysis in
   scientific literature
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 13th International Conference on Scientometrics and Informetrics
CY JUL 04-07, 2011
CL Univ Zululand, Durban, SOUTH AFRICA
SP Int Soc Scientometr & Informetr (ISSI), Durban Univ Technol
HO Univ Zululand
DE Citation genetic genealogy; Document gene; Document genomes; Document
   genome sequence; Citation analysis; Citation family relationships
ID SCIENCE; INDEXES; INFORMATION; DOCUMENTS; DIMENSION
AB Citation relationships are commonly described with citation network or citation graph, but in this article, the author introduced the notion of citation genetic genealogy and apply it in citation analysis. A citing document usually only uses pieces of its cited document, so the author of this article defined these valuable pieces of a scientific document, which carry the information that have been used by its citing documents as its document genes. Besides, with the definition of symbolic information of a scientific document, the conclusion that a citing document inherited the document genes from its references can be drawn. Based on these understandings, citation genetic genealogy is constructed to describe citation relationships. With citation genetic genealogy, it is easy to map the citation relationships, like bibliographic coupling and co-citation, with familiar family relationships and illustrate the inheritance relationships in scientific literatures. Also, citation genetic genealogy may provide an interface between the citation analysis of a document set and the content analysis for each individual document inside this document set.
C1 [Sun, Fengjun; Zhu, Lijun] Inst Sci & Tech Informat China, Beijing 100038, Peoples R China.
RP Zhu, LJ (reprint author), Inst Sci & Tech Informat China, Beijing 100038, Peoples R China.
EM zhulj@istic.ac.cn
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NR 38
TC 0
Z9 0
U1 4
U2 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2012
VL 91
IS 2
BP 577
EP 589
DI 10.1007/s11192-011-0588-2
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 921LD
UT WOS:000302478200020
ER

PT J
AU Ardanuy, J
AF Ardanuy, Jordi
TI Scientific collaboration in Library and Information Science viewed
   through the Web of Knowledge: the Spanish case
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliometrics; Library and Information Science; Scientific
   collaboration; Co-authorship
ID JOURNAL LITERATURE; QUALITY; COAUTHORSHIP; AUTHORSHIP; 20TH-CENTURY;
   UNIVERSITY; PATTERNS; CHINA
AB This study analyzes the level of co-authorship of Spanish research in Library and Information Science (LIS) until 2009, the chronological development that has taken place, and the level of local, domestic and international cooperation. This bibliometric study was made using the data retrieved from the Web of Knowledge (WoK) following a dual strategy-on the one hand through the filter of the category Information Science & Library Science, and on the other hand through a subject search. In this way a significant number of works has been retrieved, some of which are in journals indexed in SCI or A&HCI and not in the SSCI. The results show a significant increase in all co-authorship, including publications in English and those involving international collaboration. As with the increase in Spanish participation in social science (WoK), this growth, coupled with the significant increase in Spanish scientific production in the area of LIS, suggests that the discipline in Spain has entered a more mature phase-although so far it has focused particularly on bibliometric studies.
C1 Univ Barcelona, Dept Bibliotecon & Documentacio, Barcelona 08014, Catalonia, Spain.
RP Ardanuy, J (reprint author), Univ Barcelona, Dept Bibliotecon & Documentacio, Edifici UB Sants,C Melcior de Palau 140, Barcelona 08014, Catalonia, Spain.
EM jordi_ardanuy@ub.edu
RI Ardanuy, Jordi/B-6432-2008
OI Ardanuy, Jordi/0000-0001-8453-586X
CR Cronin B, 2003, J AM SOC INF SCI TEC, V54, P855, DOI 10.1002/asi.10278
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   Ardanuy J, 2009, SCIENTOMETRICS, V81, P347, DOI 10.1007/s11192-008-2143-3
   Glanzel W, 2002, LIBR TRENDS, V50, P461
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NR 43
TC 8
Z9 8
U1 10
U2 58
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2012
VL 90
IS 3
BP 877
EP 890
DI 10.1007/s11192-011-0552-1
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 892ZZ
UT WOS:000300325800008
ER

PT J
AU Natale, F
   Fiore, G
   Hofherr, J
AF Natale, Fabrizio
   Fiore, Gianluca
   Hofherr, Johann
TI Mapping the research on aquaculture. A bibliometric analysis of
   aquaculture literature
SO SCIENTOMETRICS
LA English
DT Article
DE Aquaculture; Bibliometrics; Computational semantic; Topic model; Latent
   semantic analysis; Co-citation analysis
AB Research on aquaculture is expanding along with the exceptional growth of the sector and has an important role in supporting even further the future developments of this relatively young food production industry. In this paper we examined the aquaculture literature using bibliometrics and computational semantics methods (latent semantic analysis, topic model and co-citation analysis) to identify the main themes and trends in research. We analysed bibliographic information and abstracts of 14,308 scientific articles on aquaculture recorded in Scopus. Both the latent semantic analysis and the topic model indicate that the broad themes of research on aquaculture are related to genetics and reproduction, growth and physiology, farming systems and environment, nutrition, water quality, and health. The topic model gives an estimate of the relevance of these research themes by single articles, authors, research institutions, species and time. With the co-citation analysis it was possible to identify more specific research fronts, which are attracting high number of co-citations by the scientific community. The largest research fronts are related to probiotics, benthic sediments, genomics, integrated aquaculture and water treatment. In terms of temporal evolution, some research fronts such as probiotics, genomics, sea-lice, and environmental impacts from cage aquaculture, are still expanding while others, such as mangroves and shrimp farming, benthic sediments, are gradually losing weight. While bibliometric methods do not necessarily provide a measure of output or impact of research activities, they proved useful for mapping a research area, identifying the relevance of themes in the scientific literature and understanding how research fronts evolve and interact. By using different methodological approaches the study is taking advantage of the strengths of each method in mapping the research on aquaculture and showing in the meantime possible limitations and some directions for further improvements.
C1 [Natale, Fabrizio; Fiore, Gianluca; Hofherr, Johann] Commiss European Communities, Joint Res Ctr, Inst Protect & Secur Citizen, I-21027 Ispra, VA, Italy.
RP Natale, F (reprint author), Commiss European Communities, Joint Res Ctr, Inst Protect & Secur Citizen, Via E Fermi 2749, I-21027 Ispra, VA, Italy.
EM fabrizio.natale@jrc.ec.europa.eu
CR Landauer TK, 1998, DISCOURSE PROCESS, V25, P259
   Small H, 2006, SCIENTOMETRICS, V68, P595, DOI 10.1007/s11192-006-0132-y
   Asche F, 2008, MAR RESOUR ECON, V23, P527
   Delanghe H, 2011, SCIENTOMETRICS, V87, P389, DOI 10.1007/s11192-010-0308-3
   Chen CM, 2006, J AM SOC INF SCI TEC, V57, P359, DOI 10.1002/asi.20317
   Griffiths TL, 2004, P NATL ACAD SCI USA, V101, P5228, DOI 10.1073/pnas.0307752101
   Blei DM, 2003, J MACH LEARN RES, V3, P993, DOI 10.1162/jmlr.2003.3.4-5.993
   Chang J., 2009, NEURAL INFORM PROCES
   FAO, 2010, STAT WORLD FISH AQ
   FEUFAR, 2008, FUT EUR FISH AQ RES
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   Wild F., 2005, LSA LATENT SEMANTIC
NR 18
TC 14
Z9 14
U1 3
U2 71
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2012
VL 90
IS 3
BP 983
EP 999
DI 10.1007/s11192-011-0562-z
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 892ZZ
UT WOS:000300325800014
ER

PT J
AU Colliander, C
   Ahlgren, P
AF Colliander, Cristian
   Ahlgren, Per
TI Experimental comparison of first and second-order similarities in a
   scientometric context
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliographic coupling; Cluster analysis; Document-document similarity;
   Science mapping; Similarity order; Textual coherence
ID PEARSONS CORRELATION-COEFFICIENT; COCITATION ANALYSIS;
   PROXIMITY-MEASURES; SALTONS COSINE; JACCARD INDEX; SCIENCE;
   REQUIREMENTS; RESEMBLANCE; STATISTICS; RETRIEVAL
AB The measurement of similarity between objects plays a role in several scientific areas. In this article, we deal with document-document similarity in a scientometric context. We compare experimentally, using a large dataset, first-order with second-order similarities with respect to the overall quality of partitions of the dataset, where the partitions are obtained on the basis of optimizing weighted modularity. The quality of a partition is defined in terms of textual coherence. The results show that the second-order approach consistently outperforms the first-order approach. Each difference between the two approaches in overall partition quality values is significant at the 0.01 level.
C1 [Colliander, Cristian; Ahlgren, Per] Umea Univ, Dept Sociol, S-90187 Umea, Sweden.
   [Ahlgren, Per] Stockholm Univ, Dept E Resources, Univ Lib, S-10691 Stockholm, Sweden.
RP Colliander, C (reprint author), Umea Univ, Dept Sociol, S-90187 Umea, Sweden.
EM cristian.colliander@soc.umu.se
RI Ahlgren, Per/A-5189-2009; 
OI Ahlgren, Per/0000-0003-0229-3073; Colliander,
   Cristian/0000-0002-7653-4004
CR Ahlgren P, 2009, PRO INT CONF SCI INF, V2, P862
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   Boyack KW, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018029
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   Egghe L, 2010, J AM SOC INF SCI TEC, V61, P1502, DOI 10.1002/asi.21285
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   Witten I. H., 1999, P 4 ACM C DIG LIB BE
NR 38
TC 5
Z9 5
U1 9
U2 51
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD FEB
PY 2012
VL 90
IS 2
BP 675
EP 685
DI 10.1007/s11192-011-0491-x
PG 11
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 876DZ
UT WOS:000299088900021
ER

PT J
AU Chen, LC
   Lien, YH
AF Chen, Liang-Chu
   Lien, Yen-Hsuan
TI Using author co-citation analysis to examine the intellectual structure
   of e-learning: A MIS perspective
SO SCIENTOMETRICS
LA English
DT Article
DE Intellectual structure; E-learning; Author co-citation analysis; MIS
ID MANAGEMENT FIELD; JOURNALS; SCIENCE
AB The increased use of e-learning techniques as an accepted form of teaching has resulted in a growing volume of academic research dedicated to their assessment. Despite the importance of the technique, there is little comprehensive knowledge on e-learning, especially in non-educational fields. Author co-citation analysis (ACA) is an analytical method for identifying the intellectual structure of specific knowledge domains through the relationship between two similar authors. ACA has been applied to many fields, such as information retrieval, knowledge management, and strategic management; however, it has not yet been used to analyze e-learning development. This study examines the intellectual structure of e-learning from the perspective of management information systems (MIS). By applying the ACA method, we analyze and categorize international and Taiwanese research topics into clusters. Our results show that Taiwanese authors put more effort into practical studies of business training, while international authors focus on a users' psychological reaction to learning context. Altogether, our research provides a clear intellectual analysis of e-learning practices from 1996 to 2009, enabling us to thoroughly study and understand the influence of these techniques on modern education.
C1 [Chen, Liang-Chu; Lien, Yen-Hsuan] Natl Def Univ, Dept Informat Management, Coll Management, Taipei 112, Taiwan.
RP Chen, LC (reprint author), Natl Def Univ, Dept Informat Management, Coll Management, 70,Sec 2,Zhongyang N Rd, Taipei 112, Taiwan.
EM nctuhorse@gmail.com; misaki5168@gmail.com
FU National Science Council (NSC), Taiwan [NSC 96-2416-H-606-002-MY2,
   98-2410-H-606-006-MY2]
FX This research was partially sponsored by the National Science Council
   (NSC), Taiwan under Grant No: NSC 96-2416-H-606-002-MY2 &
   98-2410-H-606-006-MY2.
CR Ma RM, 2009, SCIENTOMETRICS, V81, P33, DOI 10.1007/s11192-009-2063-x
   Ding Y, 1999, J INF SCI, V25, P67, DOI 10.1177/016555159902500107
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   CHEN HJ, 2005, THESIS NAT SUN YS U
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NR 22
TC 9
Z9 9
U1 7
U2 50
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2011
VL 89
IS 3
BP 867
EP 886
DI 10.1007/s11192-011-0458-y
PG 20
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 840XC
UT WOS:000296474400009
ER

PT J
AU Grauwin, S
   Jensen, P
AF Grauwin, Sebastian
   Jensen, Pablo
TI Mapping scientific institutions
SO SCIENTOMETRICS
LA English
DT Article
DE Institutions; Maps; Heterogeneous; Governance
ID SCIENCE; MAP
AB We have developed a set of routines that allows to draw easily different maps of the research carried out in a scientific institution. Our toolkit uses OpenSource elements to analyze bibliometric data gathered from the Web Of Science. We take the example of our institution, ENS de Lyon, to show how different maps, using co-occurrence (of authors, keywords, institutionsaEuro broken vertical bar) and bibliographic coupling can be built. These maps may become a valuable tool for discussing institutions' policies, as they offer different views on the institution at a global scale.
C1 [Grauwin, Sebastian; Jensen, Pablo] Univ Lyon, Lyon, France.
   [Grauwin, Sebastian; Jensen, Pablo] Inst Syst Complexes Rhone Alpes IXXI, Lyon, France.
   [Grauwin, Sebastian; Jensen, Pablo] Ecole Normale Super Lyon, Phys Lab, F-69007 Lyon, France.
   [Grauwin, Sebastian; Jensen, Pablo] CNRS, UMR 5672, F-69007 Lyon, France.
   [Jensen, Pablo] Univ Lyon 2, Lab Econ Transports, F-69007 Lyon, France.
   [Jensen, Pablo] CNRS, UMR 5593, F-69007 Lyon, France.
RP Jensen, P (reprint author), Univ Lyon, Lyon, France.
EM pablo.jensen@ens-lyon.fr
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NR 24
TC 9
Z9 10
U1 6
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2011
VL 89
IS 3
BP 943
EP 954
DI 10.1007/s11192-011-0482-y
PG 12
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 840XC
UT WOS:000296474400013
ER

PT J
AU Groh, G
   Fuchs, C
AF Groh, Georg
   Fuchs, Christoph
TI Multi-modal social networks for modeling scientific fields
SO SCIENTOMETRICS
LA English
DT Article
DE Social networks; Mobile Social Networking; Modeling of a scientific
   domain; Co-authorship networks; Person-organization networks; Author
   co-citation networks; Journal-person networks; Conference-person
   networks
ID AUTHOR COCITATION ANALYSIS; INFORMATION-SCIENCE; INTELLECTUAL STRUCTURE;
   SUBGRAPH ISOMORPHISM; MAPPING AUTHORS; DOMAIN-ANALYSIS; SALTONS COSINE;
   PEARSONS R; ALGORITHM; INDEX
AB This paper analyzes whether methods from social network analysis can be adopted for the modeling of scientific fields in order to obtain a better understanding of the respective scientific area. The approach proposed is based on articles published within the respective scientific field and certain types of nodes deduced from these papers, such as authors, journals, conferences and organizations. As a proof of concept, the techniques discussed here are applied to the field of 'Mobile Social Networking'. For this purpose, a tool was developed to create a large data collection representing the aforementioned field. The paper analyzes various views on the complete network and discusses these on the basis of the data collected on Mobile Social Networking. The authors demonstrate that the analysis of particular subgraphs derived from the data collection allows the identification of important authors as well as separate sub-disciplines such as classic network analysis and sensor networks and also contributes to the classification of the field of 'Mobile Social Networking' within the greater context of computer science, applied mathematics and social sciences. Based on these results, the authors propose a set of concrete services which could be offered by such a network and which could help the user to deal with the scientific information process. The paper concludes with an outlook upon further possible research topics.
C1 [Groh, Georg; Fuchs, Christoph] Tech Univ Munich, Dept Informat, D-85478 Garching, Germany.
RP Groh, G (reprint author), Tech Univ Munich, Dept Informat, Boltzmannstr 3, D-85478 Garching, Germany.
EM grohg@in.tum.de; fuchsc@in.tum.de
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   YAN E, 2009, SCIENTOMETRICS
NR 59
TC 7
Z9 7
U1 1
U2 30
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD NOV
PY 2011
VL 89
IS 2
BP 569
EP 590
DI 10.1007/s11192-011-0475-x
PG 22
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 840WU
UT WOS:000296473400006
ER

PT J
AU Wang, XW
   Zhang, X
   Xu, SM
AF Wang, Xianwen
   Zhang, Xi
   Xu, Shenmeng
TI Patent co-citation networks of Fortune 500 companies
SO SCIENTOMETRICS
LA English
DT Article
DE Fortune 500; Patent bibliometrics; Patent co-citation; Technology
   structure
ID GENETIC-ENGINEERING RESEARCH; INDICATORS; KNOWLEDGE; CLASSIFICATION;
   BIOTECHNOLOGY; BIBLIOMETRICS; SECTORS; SYSTEM
AB This paper provides an overview of the progression of technology structure based on patent co-citation networks. Methods of patent bibliometrics, social network analysis and information visualization are employed to analyze patents of Fortune 500 companies indexed in Derwent Innovations Index, the largest patent database in the world. Based on the co-citation networks, several main technology groups are identified, including Chemicals, Petroleum Refining, Motor Vehicles, Pharmaceuticals, Electronics, etc. Relationships among the leading companies and technology groups are also revealed.
C1 [Wang, Xianwen; Zhang, Xi; Xu, Shenmeng] Dalian Univ Technol, WISE Lab, Dalian, Peoples R China.
RP Wang, XW (reprint author), Dalian Univ Technol, WISE Lab, Dalian, Peoples R China.
EM xianwenwang@dlut.edu.cn
RI Xu, Shenmeng/C-4193-2013; 
OI Xu, Shenmeng/0000-0001-8475-0746; Wang, Xianwen/0000-0002-7236-9267
FU Social Science Foundation of China [10CZX011, 08BTQ025]; Specialized
   Research Fund for the Doctoral Program of Higher Education of China
   [2009041110001]; Fundamental Research Funds for the Central Universities
   [2009-852009]
FX The research was supported by the Social Science Foundation of China
   (Grant No. 10CZX011, Grant No. 08BTQ025), the project of "Specialized
   Research Fund for the Doctoral Program of Higher Education of China''
   (Grant No. 2009041110001), as well as the project of "Fundamental
   Research Funds for the Central Universities'' (Grant No. 2009-852009).
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NR 26
TC 9
Z9 9
U1 9
U2 111
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD SEP
PY 2011
VL 88
IS 3
BP 761
EP 770
DI 10.1007/s11192-011-0414-x
PG 10
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 819PO
UT WOS:000294839700005
ER

PT J
AU Glanzel, W
   Thijs, B
AF Glaenzel, Wolfgang
   Thijs, Bart
TI Using 'core documents' for the representation of clusters and topics
SO SCIENTOMETRICS
LA English
DT Article
DE Core documents; Cluster analysis; Hybrid clustering; Bibliographic
   coupling; Text mining
ID COMBINED COCITATION; WORD ANALYSIS; SCIENCE
AB The notion of 'core documents', first introduced in the context of co-citation analysis and later re-introduced for bibliographic coupling, refers to the representation of the core of a publication set according to given criteria. In the present study, the notion of core documents is extended to the combination of citation-based and textual links. It is shown that core documents defined this way can be used to represent and describe document clusters and topics at different levels of aggregation. Methodology is illustrated using the example of two ISI Subject Categories selected from applied and social sciences.
C1 [Glaenzel, Wolfgang; Thijs, Bart] Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Leuven, Belgium.
   [Glaenzel, Wolfgang; Thijs, Bart] Katholieke Univ Leuven, Dept MSI, Leuven, Belgium.
   [Glaenzel, Wolfgang] Hungarian Acad Sci, IRPS, Budapest, Hungary.
RP Glanzel, W (reprint author), Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Leuven, Belgium.
EM Wolfgang.Glanzel@econ.kuleuven.be
RI Thijs, Bart/C-2995-2008; Glanzel, Wolfgang/A-6280-2008
OI Thijs, Bart/0000-0003-0446-8332; Glanzel, Wolfgang/0000-0001-7529-5198
FU ERC
FX Methodology has partially been developed in the context of the ERACEP
   project within the Coordination and Support Actions (CSAs) of the ERC
   work programme. The authors wish to acknowledge this support.
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NR 13
TC 23
Z9 24
U1 6
U2 39
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2011
VL 88
IS 1
BP 297
EP 309
DI 10.1007/s11192-011-0347-4
PG 13
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 785EM
UT WOS:000292210200019
ER

PT J
AU Bjurstrom, A
   Polk, M
AF Bjurstrom, Andreas
   Polk, Merritt
TI Climate change and interdisciplinarity: a co-citation analysis of IPCC
   Third Assessment Report
SO SCIENTOMETRICS
LA English
DT Article
DE Climate research; IPCC; Interdisciplinary; Multidisciplinary;
   Bibliometrics
ID GLOBAL ENVIRONMENTAL-CHANGE; INTERNATIONAL COLLABORATION;
   INTERGOVERNMENTAL PANEL; SUSTAINABLE DEVELOPMENT; SCIENCE; KNOWLEDGE;
   TRANSDISCIPLINARITY; NANOTECHNOLOGY; DISCIPLINES; NETWORKS
AB This study addresses whether interdisciplinarity is a prominent feature of climate research by means of a co-citation analysis of the IPCC Third Assessment Report. The debate on interdisciplinarity and bibliometric measures is reviewed to operationalize the contested notion of interdisciplinarity. The results, based on 6417 references of the 96 most frequently used journals, demonstrate that the IPCC assessment of climate change is best characterized by its multidisciplinarity where the physical, biological, bodily and societal dimensions are clearly separated. Although a few fields and journals integrate a wide variety of disciplines, integration occurs mainly between related disciplines (narrow interdisciplinarity) which indicate an overall disciplinary basis of climate research. It is concluded that interdisciplinarity is not a prominent feature of climate research. The significance of this finding is explored, given that the problem scope of climate change necessitates interdisciplinarity. Ways to promote interdisciplinarity are suggested by way of conclusion.
C1 [Bjurstrom, Andreas; Polk, Merritt] Univ Gothenburg, Sch Global Studies, SE-40530 Gothenburg, Sweden.
RP Bjurstrom, A (reprint author), Univ Gothenburg, Sch Global Studies, SE-40530 Gothenburg, Sweden.
EM andreas.bjurstrom@globalstudies.gu.se
FU Centre for Environment and Sustainability at Goteborg University
FX Gunilla A. Olsson, Karl Bruckmeier, Tom R. Burns, Jan Teorell, Marie
   Demker, Per Knutsson and Stina Edqvist are acknowledged for comments and
   support. The Centre for Environment and Sustainability at Goteborg
   University is acknowledged for financial support.
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NR 95
TC 12
Z9 13
U1 9
U2 60
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2011
VL 87
IS 3
BP 525
EP 550
DI 10.1007/s11192-011-0356-3
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 753PS
UT WOS:000289792600007
ER

PT J
AU Small, H
AF Small, Henry
TI Interpreting maps of science using citation context sentiments: a
   preliminary investigation
SO SCIENTOMETRICS
LA English
DT Article
DE Citation contexts; Maps of science; Sentiment analysis; Corpus
   linguistics
ID 2 DISCIPLINES; CLUSTERS
AB It is proposed that citation contexts, the text surrounding references in scientific papers, be analyzed in terms of an expanded notion of sentiment, defined to include attitudes and dispositions toward the cited work. Maps of science at both the specialty and global levels are used as the basis of this analysis. Citation context samples are taken at these levels and contrasted for the appearance of cue word sets, analyzed with the aid of methods from corpus linguistics. Sentiments are shown to vary within a specialty and can be understood in terms of cognitive and social factors. Within-specialty and between-specialty co-citations are contrasted and in some cases suggest a correlation of sentiment with structural location. For example, the sentiment of "uncertainty" is important in interdisciplinary co-citation links, while "utility" is more prevalent within the specialty. Suggestions are made for linking sentiments to technical terms, and for developing sentiment "baselines" for all of science.
C1 [Small, Henry] SciTech Strategies Inc, Berwyn, PA USA.
   [Small, Henry] Thomson Reuters, Philadelphia, PA USA.
RP Small, H (reprint author), SciTech Strategies Inc, Berwyn, PA USA.
EM hsmall@mapofscience.com
CR Charles M, 2006, ENGL SPECIF PURP, V25, P310, DOI 10.1016/j.esp.2005.05.003
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NR 28
TC 21
Z9 21
U1 9
U2 51
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2011
VL 87
IS 2
BP 373
EP 388
DI 10.1007/s11192-011-0349-2
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 744PP
UT WOS:000289106900012
ER

PT J
AU Zhao, DZ
   Strotmann, A
AF Zhao, Dangzhi
   Strotmann, Andreas
TI Intellectual structure of stem cell research: a comprehensive author
   co-citation analysis of a highly collaborative and multidisciplinary
   field
SO SCIENTOMETRICS
LA English
DT Article
DE Citation analysis; Author co-citation analysis; Scholarly communication;
   Intellectual structure; Research policy; Stem cell research; Biomedical
   research
ID INFORMATION-SCIENCE; SCIENTIFIC COLLABORATION; SCHOLARLY COMMUNICATION;
   ALL-AUTHOR; BIBLIOMETRICS; PUBLICATIONS; WEB
AB This study is an attempt to approach the intellectual structure of the stem cell research field 2004-2009 through a comprehensive author co-citation analysis (ACA), and to contribute to a better understanding of a field that has been brought to the forefront of research, therapy and political and public debates, which, hopefully, will in turn better inform research and policy. Based on a nearly complete and clean dataset of stem cell literature compiled from PubMed and Scopus, and using automatic author disambiguation to further improve results, we perform an exclusive all-author ACA of the 200 top-ranked researchers of the field by fractional citation count. We find that, despite the theoretically highly interdisciplinary nature of the field, stem cell research has been dominated by a few central medical research areas-cancer and regenerative medicine of the brain, the blood, the skin, and the heart-and a core of cell biologists trying to understand the nature and the molecular biology of stem cells along with biotechnology researchers investigating the practical identification, isolation, creation, and culturing of stem cells. It is also remarkably self-contained, drawing only on a few related areas of cell biology. This study also serves as a baseline against which the effectiveness of a range of author-based bibliometric methods and indicators can be tested, especially when based on less comprehensive datasets using less optimal analysis methods.
C1 [Zhao, Dangzhi; Strotmann, Andreas] Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB T6G 2J4, Canada.
RP Zhao, DZ (reprint author), Univ Alberta, Sch Lib & Informat Studies, Edmonton, AB T6G 2J4, Canada.
EM dzhao@ualberta.ca; andreas.strotmann@ualberta.ca
OI Strotmann, Andreas/0000-0002-0679-6498
FU Social Sciences and Humanities Research Council (SSHRC) of Canada;
   Genome Canada
FX This study was funded in part by the Social Sciences and Humanities
   Research Council (SSHRC) of Canada and by Genome Canada. The authors
   would like to thank Gencheng Guo for his assistance in the data
   collection process.
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NR 25
TC 8
Z9 9
U1 6
U2 50
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2011
VL 87
IS 1
BP 115
EP 131
DI 10.1007/s11192-010-0317-2
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 725SH
UT WOS:000287665900009
ER

PT J
AU Hu, CP
   Hu, JM
   Gao, Y
   Zhang, YK
AF Hu, Chang-Ping
   Hu, Ji-Ming
   Gao, Yan
   Zhang, Yao-Kun
TI A journal co-citation analysis of library and information science in
   China
SO SCIENTOMETRICS
LA English
DT Article
DE China; LIS journals; Journal co-citation; Multivariate statistical
   analysis
ID INTELLECTUAL SPACE; CITATION
AB This paper aims to reveal the relationship and structure of library and information science (LIS) journals in China. 24 core LIS journals in China are selected and the relevant data of journal co-citation are retrieved from Chinese Journal Full-Text Database constructed by China National Knowledge Infrastructure during the period of 1999-2009. By calculating mean co-citation frequencies and correlation coefficients, we find that there is a strong relationship among LIS journals in China. Utilizing the methods of cluster analysis, multidimensional scaling analysis and factor analysis, we analyze the data of journal co-citation. LIS journals in China are divided into four clusters. The relatedness among journals is shown manifestly through their locations in the two-dimensional map. A three-factor solution is obtained with the factor loading of each journal. Finally, we interpret and discuss the results to get some conclusions and also expect to describe the network characters of journal co-citation in future research.
C1 [Hu, Chang-Ping; Hu, Ji-Ming; Gao, Yan; Zhang, Yao-Kun] Wuhan Univ, Ctr Studies Informat Resources, Wuhan 430072, Peoples R China.
RP Hu, JM (reprint author), Wuhan Univ, Ctr Studies Informat Resources, Wuhan 430072, Peoples R China.
EM whuhujiming@yahoo.cn
CR White HD, 2003, J AM SOC INF SCI TEC, V54, P1250, DOI 10.1002/asi.10325
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   White HD, 1998, J AM SOC INFORM SCI, V49, P327, DOI 10.1002/(SICI)1097-4571(19980401)49:4<327::AID-ASI4>3.0.CO;2-4
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   Zitt M, 2003, SCIENTOMETRICS, V57, P93, DOI 10.1023/A:1023675620752
NR 21
TC 10
Z9 10
U1 17
U2 72
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2011
VL 86
IS 3
BP 657
EP 670
DI 10.1007/s11192-010-0313-6
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 711YF
UT WOS:000286627500008
ER

PT J
AU Zhao, RY
   Wang, J
AF Zhao, Rongying
   Wang, Ju
TI Visualizing the research on pervasive and ubiquitous computing
SO SCIENTOMETRICS
LA English
DT Article
DE Pervasive and ubiquitous computing; Document co-citation analysis;
   Co-citation cluster analysis; Research foci
ID INTELLECTUAL STRUCTURE; SCIENTIFIC LITERATURE; INFORMATION-SCIENCE;
   AUTHOR COCITATION; DOMAIN-ANALYSIS; MOBILE; 21ST-CENTURY; CONTEXT
AB The aim of this paper is to identify the research status quo on pervasive and ubiquitous computing via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of pervasive and ubiquitous computing has evolved. A total of 5,914 papers published between 1995 and 2009 were retrieved from the Web of Science with a topic search of pervasive or ubiquitous computing. CiteSpace is a java application for analyzing and visualizing a wide range of networks from bibliographic data. By use of it, we generated the subject category network to identify the leading research fields, the research power network to find out the most productive countries and institutes, the journal co-citation map to identify the distribution of core journals, the author co-citation map to identify key scholars and their co-citation patterns, the document co-citation network to reveal the ground-breaking literature and detect the co-citation clusters on pervasive and ubiquitous computing, and depicted the hybrid network of keywords and noun phrases to explore research foci on pervasive and ubiquitous computing over the entire span 1995-2009.
C1 [Zhao, Rongying; Wang, Ju] Wuhan Univ, Res Ctr China Sci Evaluat, Sch Informat Management, Wuhan 430072, Peoples R China.
RP Zhao, RY (reprint author), Wuhan Univ, Res Ctr China Sci Evaluat, Sch Informat Management, Wuhan 430072, Peoples R China.
EM zhaory999@yahoo.com.cn; wj7134@163.com
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NR 30
TC 15
Z9 15
U1 23
U2 152
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2011
VL 86
IS 3
BP 593
EP 612
DI 10.1007/s11192-010-0283-8
PG 20
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 711YF
UT WOS:000286627500004
ER

PT J
AU van Eck, NJ
   Waltman, L
AF van Eck, Nees Jan
   Waltman, Ludo
TI Software survey: VOSviewer, a computer program for bibliometric mapping
SO SCIENTOMETRICS
LA English
DT Article
DE Bibliometric mapping; Science mapping; Visualization; VOSviewer; VOS;
   Journal co-citation analysis
ID COMPUTATIONAL INTELLIGENCE FIELD; PATHFINDER NETWORKS; SCIENCE; MAPS;
   GRAPHS
AB We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer's functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer's ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
C1 [van Eck, Nees Jan; Waltman, Ludo] Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
   [van Eck, Nees Jan; Waltman, Ludo] Erasmus Univ, Inst Econometr, Erasmus Sch Econ, NL-3000 DR Rotterdam, Netherlands.
RP van Eck, NJ (reprint author), Leiden Univ, Ctr Sci & Technol Studies, Leiden, Netherlands.
EM ecknjpvan@cwts.leidenuniv.nl; waltmanlr@cwts.leidenuniv.nl
RI van Eck, Nees Jan/B-6042-2008
OI van Eck, Nees Jan/0000-0001-8448-4521
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NR 37
TC 142
Z9 144
U1 32
U2 179
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD AUG
PY 2010
VL 84
IS 2
BP 523
EP 538
DI 10.1007/s11192-009-0146-3
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 609YT
UT WOS:000278695500019
ER

PT J
AU Yang, SL
   Qiu, JP
   Xiong, ZY
AF Yang, Siluo
   Qiu, Junping
   Xiong, Zunyan
TI An empirical study on the utilization of web academic resources in
   humanities and social sciences based on web citations
SO SCIENTOMETRICS
LA English
DT Article
DE Web recourses; Web citation; Humanities and social sciences; Web
   reference
ID ELECTRONIC RESOURCES; INTERNET REFERENCES; INFORMATION-SCIENCE;
   JOURNALS; ACCESSIBILITY; PERSISTENCE; STABILITY
AB In this era of a rapid change in the way people finding and using information resources, despite that the academic communication and using patterns for people in the traditional print environment have been studied for many years, the Internet media presents a new and relatively unexplored area for such study. In this article, we explored the distribution and utilization of web recourses in humanities and social sciences based on web citations. We collected 1,421,731 citations listed in 148,172 articles from 493 journals published during the period of 2006-2007 in the CSSCI, which resulted in 44,973 web citations. We counted the amount and types of web resources used in various disciplines, analyzed the URLs frequency from the host-level, fitted the frequency distribution into the regression models with SPSS, and perform the disciplines coupling analysis based on the web citations. We found out that: (a) The distributions of web citations by years or by websites and webpage types are selective and regular; (b) Great disparity exists among various disciplines in terms of using web information, and the high-frequency websites; (c) The frequency distribution of web citations is similar to the Garfield's citation distribution curve; (d) Some relationships between disciplines are detected, based on the utilization of web information.
C1 [Yang, Siluo] Xiangtan Univ, Publ Management Sch, Xiangtan, Peoples R China.
   [Qiu, Junping] Wuhan Univ, Res Ctr Chinese Sci Evaluat, Wuhan 430072, Peoples R China.
   [Xiong, Zunyan] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
RP Yang, SL (reprint author), Xiangtan Univ, Publ Management Sch, Xiangtan, Peoples R China.
EM slyang2005@yahoo.com.cn
OI Yang, SiLuo/0000-0003-3228-1102
FU MOE
FX The authors would like to acknowledge the support of Humanities & Social
   Scientific Research Fund of MOE (The laws of Web citation and its
   application) and enlightening comments from reviewers. Special thanks
   should go to James Zhang and Hao Zhang who have put considerable time
   and effort into their comments on the draft.
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NR 28
TC 13
Z9 13
U1 9
U2 69
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2010
VL 84
IS 1
BP 1
EP 19
DI 10.1007/s11192-009-0142-7
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 604GI
UT WOS:000278267100001
ER

PT J
AU Chen, CM
   Zhang, J
   Vogeley, MS
AF Chen, Chaomei
   Zhang, Jian
   Vogeley, Michael S.
TI Making sense of the evolution of a scientific domain: a visual analytic
   study of the Sloan Digital Sky Survey research
SO SCIENTOMETRICS
LA English
DT Article
DE Visual analytics; Co-citation network analysis; SDSS
ID VISUALIZATION; COCITATION; NETWORKS
AB We introduce a new visual analytic approach to the study of scientific discoveries and knowledge diffusion. Our approach enhances contemporary co-citation network analysis by enabling analysts to identify co-citation clusters of cited references intuitively, synthesize thematic contexts in which these clusters are cited, and trace how research focus evolves over time. The new approach integrates and streamlines a few previously isolated techniques such as spectral clustering and feature selection algorithms. The integrative procedure is expected to empower and strengthen analytical and sense making capabilities of scientists, learners, and researchers to understand the dynamics of the evolution of scientific domains in a wide range of scientific fields, science studies, and science policy evaluation and planning. We demonstrate the potential of our approach through a visual analysis of the evolution of astronomical research associated with the Sloan Digital Sky Survey (SDSS) using bibliographic data between 1994 and 2008. In addition, we also demonstrate that the approach can be consistently applied to a set of heterogeneous data sources such as e-prints on arXiv, publications on ADS, and NSF awards related to the same topic of SDSS.
C1 [Chen, Chaomei; Zhang, Jian] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
   [Vogeley, Michael S.] Drexel Univ, Dept Phys, Coll Arts & Sci, Philadelphia, PA 19104 USA.
RP Chen, CM (reprint author), Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA.
EM chaomei.chen@drexel.edu; jz85@drexel.edu; vogeley@drexel.edu
RI Chen, Chaomei/A-1252-2007
OI Chen, Chaomei/0000-0001-8584-1041
FU National Science Foundation (NSF) [0612129]
FX This work is supported in part by the National Science Foundation (NSF)
   under grant number 0612129.
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NR 19
TC 2
Z9 2
U1 6
U2 33
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2010
VL 83
IS 3
BP 669
EP 688
DI 10.1007/s11192-009-0123-x
PG 20
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 592YR
UT WOS:000277418400006
ER

PT J
AU Bruer, JT
AF Bruer, John T.
TI Can we talk? How the cognitive neuroscience of attention emerged from
   neurobiology and psychology, 1980-2005
SO SCIENTOMETRICS
LA English
DT Article
DE Co-citation analysis; PFNET; Cognitive neuroscience; Attention
ID KNOWLEDGE DOMAINS
AB This study uses author co-citation analysis to trace prospectively the development of the cognitive neuroscience of attention between 1980 and 2005 from its precursor disciplines: cognitive psychology, single cell neurophysiology, neuropsychology, and evoked potential research. The author set consists of 28 authors highly active in attentional research in the mid-1980s. PFNETS are used to present the co-citation networks. Authors are clustered via the single-link clustering intrinsic to the PFNET algorithm. By 1990 a distinct cognitive neuroscience specialty cluster emerges, dominated by authors engaged in brain imaging research.
C1 James S McDonnell Fdn, St Louis, MO 63117 USA.
RP Bruer, JT (reprint author), James S McDonnell Fdn, 1034 S Brentwood Blvd,Suite 1850, St Louis, MO 63117 USA.
EM bruer@jsmf.org
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NR 17
TC 2
Z9 2
U1 4
U2 8
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2010
VL 83
IS 3
BP 751
EP 764
DI 10.1007/s11192-009-0128-5
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 592YR
UT WOS:000277418400012
ER

PT J
AU Small, H
AF Small, Henry
TI Maps of science as interdisciplinary discourse: co-citation contexts and
   the role of analogy
SO SCIENTOMETRICS
LA English
DT Article
DE Interdisciplinarity; Maps of science; Co-citation contexts; Analogy; Cue
   word analysis
ID CITATION; SIMULATION; CLUSTERS
AB Interdisciplinarity can be manifest in many forms: through collaboration or communication between scientists working in different fields or through the work of individual scientists who employ concepts or methods across disciplines. This latter form of interdisciplinarity is addressed here with the goal of understanding how ideas in different fields come together to create new opportunities for discovery. Maps of science are used to suggest possible interdisciplinary links which are then analyzed by co-citation context analysis. Interdisciplinary links are identified by juxtaposing a clustering and mapping of documents against a journal-based categorization of the same document clusters. Links between clusters are characterized as interdisciplinary based on the dissonance of their category assignments. To verify and probe more deeply into the meaning of interdisciplinary links, co-citation contexts for selected links from five separate cases are analyzed in terms of prominent cue words. This analysis reveals that interdisciplinary connections are often based on authors' perceptions of analogous problems across scientific domains. Cue words drawn from the citation contexts also suggest that these connections are viewed as important and ripe with both opportunity and risk.
C1 Thomson Reuters, Philadelphia, PA 19130 USA.
RP Small, H (reprint author), Thomson Reuters, 1500 Spring Garden St, Philadelphia, PA 19130 USA.
EM henry.small@thomsonreuters.com
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NR 35
TC 14
Z9 14
U1 7
U2 60
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2010
VL 83
IS 3
BP 835
EP 849
DI 10.1007/s11192-009-0121-z
PG 15
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 592YR
UT WOS:000277418400018
ER

PT J
AU Upham, SP
   Small, H
AF Upham, S. Phineas
   Small, Henry
TI Emerging research fronts in science and technology: patterns of new
   knowledge development
SO SCIENTOMETRICS
LA English
DT Article
DE Innovation; Clusters; Emerging science; Research fronts
ID THIN-FILM TRANSISTORS; FIELD-EFFECT TRANSISTORS; COCITATION ANALYSIS;
   INTELLECTUAL STRUCTURE; GAMMA-SECRETASE; CO-CITATION; INTERDISCIPLINARY
   RESEARCH; ORGANIC ELECTRONICS; STRUCTURAL ASPECTS; BUILDING-BLOCKS
AB Research fronts represent the most dynamic areas of science and technology and the areas that attract the most scientific interest. We construct a methodology to identify these fronts, and we use quantitative and qualitative methodology to analyze and describe them. Our methodology is able to identify these fronts as they form-with potential use by firms, venture capitalists, researchers, and governments looking to identify emerging high-impact technologies. We also examine how science and technology absorbs the knowledge developed in these fronts and find that fronts which maximize impact have very different characteristics than fronts which maximize growth, with consequences for the way science develops over time.
C1 [Upham, S. Phineas] Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA.
   [Small, Henry] Thomson Reuters, Philadelphia, PA USA.
RP Upham, SP (reprint author), Univ Penn, Wharton Sch, Philadelphia, PA 19104 USA.
EM phin.upham.wg05@wharton.upenn.edu; henry.small@thomsonReuters.com
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NR 67
TC 28
Z9 28
U1 14
U2 76
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
EI 1588-2861
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2010
VL 83
IS 1
BP 15
EP 38
DI 10.1007/s11192-009-0051-9
PG 24
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 567BN
UT WOS:000275417400002
ER

PT J
AU Klavans, R
   Boyack, KW
AF Klavans, Richard
   Boyack, Kevin W.
TI Toward an objective, reliable and accurate method for measuring research
   leadership
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 10th International Conference on Science and Technology Indicators
CY SEP 17-20, 2008
CL Univ Vienna, Vienna, AUSTRIA
SP Austrian Res Ctr GmbH
HO Univ Vienna
DE Co-citation analysis; Research leadership; National leadership;
   Paradigms; Accuracy; Map of science; Science map; Competencies
ID SCIENCE; WORLD; CLASSIFICATION; INDICATORS; NATIONS; MAPS
AB We compare a new method for measuring research leadership with the traditional method. Both methods are objective and reliable, utilize standard citation databases, and are easily replicated. The traditional method uses partitions of science based on journal categories, and has been extensively used to measure national leadership patterns in science, including those appearing in the NSF Science & Engineering Indicators Reports and in prominent journals such as Science and Nature. Our new method is based on co-citation techniques at the paper level. It was developed with the specific intent of measuring research leadership at a university, and was then extended to examine national patterns of research leadership. A comparison of these two methods provides compelling evidence that the traditional method grossly underestimates research leadership in most countries. The new method more accurately portrays the actual patterns of research leadership at the national level.
C1 [Klavans, Richard] SciTech Strategies Inc, Berwyn, PA 19312 USA.
   [Boyack, Kevin W.] SciTech Strategies Inc, Albuquerque, NM 87122 USA.
RP Klavans, R (reprint author), SciTech Strategies Inc, Berwyn, PA 19312 USA.
EM rklavans@mapofscience.com; kboyack@mapofscience.com
OI Boyack, Kevin/0000-0001-7814-8951
CR Glanzel W, 2008, SCIENTOMETRICS, V74, P71, DOI 10.1007/s11192-008-0104-5
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   Klavans R, 2006, SCIENTOMETRICS, V68, P475, DOI 10.1007/s11192-006-0125-x
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NR 21
TC 17
Z9 17
U1 9
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2010
VL 82
IS 3
BP 539
EP 553
DI 10.1007/s11192-010-0188-6
PG 15
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 563JK
UT WOS:000275124700008
ER

PT J
AU Laurens, P
   Zitt, M
   Bassecoulard, E
AF Laurens, Patricia
   Zitt, Michel
   Bassecoulard, Elise
TI Delineation of the genomics field by hybrid citation-lexical methods:
   interaction with experts and validation process
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 10th International Conference on Science and Technology Indicators
CY SEP 17-20, 2008
CL Univ Vienna, Vienna, AUSTRIA
SP Austrian Res Ctr GmbH
HO Univ Vienna
DE Information retrieval; Bibliographic coupling; Genomics; Citation
   methods; Bibliometrics; Science mapping; Field delineation
ID NANOSCIENCES; DELIMITATION
AB In advanced methods of delineation and mapping of scientific fields, hybrid methods open a promising path to the capitalisation of advantages of approaches based on words and citations. One way to validate the hybrid approaches is to work in cooperation with experts of the fields under scrutiny. We report here an experiment in the field of genomics, where a corpus of documents has been built by a hybrid citation-lexical method, and then clustered into research themes. Experts of the field were associated in the various stages of the process: lexical queries for building the initial set of documents, the seed; citation-based extension aiming at reducing silence; final clustering to identify noise and allow discussion on border areas. The analysis of experts' advices show a high level of validation of the process, which combines a high-precision and low-recall seed, obtained by journal and lexical queries, and a citation-based extension enhancing the recall. This findings on the genomics field suggest that hybrid methods can efficiently retrieve a corpus of relevant literature, even in complex and emerging fields.
C1 [Laurens, Patricia; Zitt, Michel] OST, F-75006 Paris, France.
   [Zitt, Michel; Bassecoulard, Elise] INRA, SAE2, LERECO, U1134, Nantes, France.
RP Laurens, P (reprint author), OST, 93 Rue Vaugirard, F-75006 Paris, France.
EM patricia.laurens@obs-ost.fr; zitt@nantes.inra.fr;
   bassecou@nantes.inra.fr
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   BASU A, 2006, INT WORKSH WEB INF S
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NR 15
TC 9
Z9 9
U1 0
U2 15
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2010
VL 82
IS 3
BP 647
EP 662
DI 10.1007/s11192-010-0177-9
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 563JK
UT WOS:000275124700015
ER

PT J
AU Ma, RM
   Dai, QB
   Ni, CQ
   Li, XL
AF Ma, Ruimin
   Dai, Qiangbin
   Ni, Chaoqun
   Li, Xuelu
TI An author co-citation analysis of information science in China with
   Chinese Google Scholar search engine, 2004-2006
SO SCIENTOMETRICS
LA English
DT Article
ID PEARSONS-R
AB Author co-citation analysis (ACA) is an important method for discovering the intellectual structure of a given scientific field. Since traditional ACA was confined to ISI Web of Knowledge (WoK), the co-citation counts of pairs of authors mainly depended on the data indexed in WoK. Fortunately, Google Scholar has integrated different academic databases from different publishers, providing an opportunity of conducting ACA in wider a range. In this paper, we conduct ACA of information science in China with the Chinese Google Scholar. Firstly, a brief introduction of Chinese Google Scholar is made, including retrieval principles and data formats. Secondly, the methods used in our paper are given. Thirdly, 31 most important authors of information science in China are selected as research objects. In the part of empirical study, factor analysis is used to find the main research directions of information science in China. Pajek, a powerful tool in social network analysis, is employed to visualize the author co-citation matrix as well. Finally, the resemblances and the differences between China and other countries in information science are pointed out.
C1 [Ma, Ruimin; Dai, Qiangbin; Ni, Chaoqun; Li, Xuelu] Wuhan Univ, Sch Informat Management, Wuhan 430072, Hubei, Peoples R China.
RP Ma, RM (reprint author), Wuhan Univ, Sch Informat Management, Wuhan 430072, Hubei, Peoples R China.
EM ruimin.ma@yahoo.com.cn
OI Ni, Chaoqun/0000-0002-4130-7602
FU National Natural Science Foundation of China [70673071/G0309]
FX The authors would like to acknowledge the support of National Natural
   Science Foundation of China (70673071/G0309) and enlightening comments
   from reviewers. We appreciate Doctor Ronald Rousseau for his sincere
   comments and selfless provision of materials.
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NR 16
TC 13
Z9 13
U1 6
U2 43
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD OCT
PY 2009
VL 81
IS 1
BP 33
EP 46
DI 10.1007/s11192-009-2063-x
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 507HD
UT WOS:000270841800003
ER

PT J
AU Zhao, YY
   Cui, L
   Yang, H
AF Zhao, Yueyang
   Cui, Lei
   Yang, Hua
TI Evaluating reliability of co-citation clustering analysis in
   representing the research history of subject
SO SCIENTOMETRICS
LA English
DT Article
AB This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject by comparing the results from co-citation clustering analysis with a review written by authorities.
   Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and the review were compared according the time period, and then the recall and the precision were calculated.
   The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than which was summarized by professionals.
   This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject, especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could be offset by combination this method with other analytic techniques.
C1 [Zhao, Yueyang; Yang, Hua] China Med Univ, Lib Shengjing Hosp, Shenyang 110004, Peoples R China.
   [Cui, Lei] China Med Univ, Dept Informat Management & Informat Syst Med, Shenyang 110001, Peoples R China.
RP Zhao, YY (reprint author), China Med Univ, Lib Shengjing Hosp, Shenyang 110004, Peoples R China.
EM zhaoyy@cmu2h.com
CR Morris SA, 2003, J AM SOC INF SCI TEC, V54, P413, DOI 10.1002/asi.10227
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NR 7
TC 2
Z9 2
U1 5
U2 26
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2009
VL 80
IS 1
BP 91
EP 102
DI 10.1007/s11192-008-2056-1
PG 12
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 462PM
UT WOS:000267368100006
ER

PT J
AU Schneider, JW
   Larsen, B
   Ingwersen, P
AF Schneider, Jesper W.
   Larsen, Birger
   Ingwersen, Peter
TI A comparative study of first and all-author co-citation counting, and
   two different matrix generation approaches applied for author
   co-citation analyses
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT ISSI Conference 2007
CY JUN 25-27, 2007
CL Madrid, SPAIN
ID INFORMATION-SCIENCE; PROXIMITY-MEASURES; CLASSIFICATION; RESEMBLANCE;
   COEFFICIENT; NETWORKS
AB The present article contributes to the current methodological debate concerning author co-citation analyses. (ACA) The study compares two different units of analyses, i.e. first- versus inclusive all-author co-citation counting, as well as two different matrix generation approaches, i.e. a conventional multivariate and the so-called Drexel approach, in order to investigate their influence upon mapping results. The aim of the present study is therefore to provide more methodological awareness and empirical evidence concerning author co-citation studies.
   The study is based on structured XML documents extracted from the IEEE collection. These data allow the construction of ad-hoc citation indexes, which enables us to carry out the hitherto largest all-author co-citation study. Four ACA are made, combining the different units of analyses with the different matrix generation approaches. The results are evaluated quantitatively by means of multidimensional scaling, factor analysis, Procrustes and Mantel statistics.
   The results show that the inclusion of all cited authors can provide a better fit of data in two-dimensional mappings based on MDS, and that inclusive all-author co-citation counting may lead to stronger groupings in the maps. Further, the two matrix generation approaches produce maps that have some resemblances, but also many differences at the more detailed levels. The Drexel approach produces results that have noticeably lower stress values and are more concentrated into groupings. Finally, the study also demonstrates the importance of sparse matrices and their potential problems in connection with factor analysis.
   We can confirm that inclusive all-ACA produce more coherent groupings of authors, whereas the present study cannot clearly confirm previous findings that first-ACA identifies more specialties, though some vague indication is given. Most crucially, strong evidence is given to the determining effect that matrix generation approaches have on the mapping of author co-citation data and thus the interpretation of such maps. Evidence is provided for the seemingly advantages of the Drexel approach.
C1 [Schneider, Jesper W.] Royal Sch Lib & Informat Sci, Aalborg, Denmark.
   [Larsen, Birger; Ingwersen, Peter] Royal Sch Lib & Informat Sci, Copenhagen, Denmark.
RP Schneider, JW (reprint author), Royal Sch Lib & Informat Sci, Aalborg, Denmark.
EM jws@db.dk
RI Schneider, Jesper Wiborg/J-9068-2012; Larsen, Birger/H-3040-2014
OI Schneider, Jesper Wiborg/0000-0001-5556-0919; Larsen,
   Birger/0000-0002-3622-2698
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NR 33
TC 6
Z9 6
U1 5
U2 29
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2009
VL 80
IS 1
BP 103
EP 130
DI 10.1007/s11192-007-2019-y
PG 28
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 462PM
UT WOS:000267368100007
ER

PT J
AU Gao, X
   Guan, JC
AF Gao, Xia
   Guan, Jiancheng
TI Networks of scientific journals: An exploration of Chinese patent data
SO SCIENTOMETRICS
LA English
DT Article
ID SCIENCE BASE; TECHNOLOGY; REFERENCES; LINKAGES; DOMAINS
AB We apply social network analysis to display the characteristics of the networks resulting from bibliographic coupling of journals by the Chinese patent data of United States Patent and Trademark Office (USPTO) between 1995 and 2002. The networks of journals in all fields, the three strongly science-based fields (i.e. Biotechnology, Pharmaceuticals, and Organic Fine Chemistry), and the three weakly science-based fields (i.e. Optics, Telecommunications, and Consumer Electronics), have been analyzed from the global and the ego views, respectively. We study a variety of statistical properties of our networks, including number of actors, number of edges, size of the giant component, density, mean degree, clustering coefficient and the centralization measures of the network. We also highlight some apparent differences in the network structure between the subjects studied. Besides, we use the three centrality measures, i.e. degree, closeness, and betweenness, to identify the important journals in the network of all fields and those strongly science-based networks.
C1 [Gao, Xia] Beijing Univ Aeronaut & Astronaut, Sch Management, Beijing 100083, Peoples R China.
   [Guan, Jiancheng] Fudan Univ, Sch Management, Shanghai 200433, Peoples R China.
RP Guan, JC (reprint author), Fudan Univ, Sch Management, Shanghai 200433, Peoples R China.
EM guanjianch@fudan.edu.cn
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NR 40
TC 8
Z9 8
U1 6
U2 40
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUL
PY 2009
VL 80
IS 1
BP 283
EP 302
DI 10.1007/s11192-007-2013-4
PG 20
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 462PM
UT WOS:000267368100016
ER

PT J
AU Yang, LY
   Morris, SA
   Barden, EM
AF Yang, Liying
   Morris, Steven A.
   Barden, Elizabeth M.
TI Mapping institutions and their weak ties in a specialty: A case study of
   cystic fibrosis body composition research
SO SCIENTOMETRICS
LA English
DT Article
ID RESEARCH COLLABORATION; VISUALIZATION
AB The paper demonstrates visualization technique that show the collaboration structure of institutions in the specialty and the researchers that function as weak ties among them. Institution names were extracted from the collection of papers and disambiguated using the Derwent Analytics (v1.2) software product. Institutions were clustered into collaboration groups based on their co-occurrence in papers. A crossmap of clustered institutions against research fronts, which were derived using bibliographic coupling analysis, shows the research fronts that specific institutions participate in, their collaborator institutions and the research fronts in which those collaborations occurred. A crossmap of institutions to author teams, derived from co-authorship analysis, reveals research teams in the specialty and their general institutional affiliation, and further identifies the researchers that function as weak ties and the institutions that they link. The case study reveals that the techniques introduced in this paper can be used to extract a large amount of useful information about institutions participating in a research specialty.
C1 [Yang, Liying] Chinese Acad Sci, Natl Sci Lib, Beijing 100080, Peoples R China.
   [Morris, Steven A.] Baker Hughes Inc, Houston, TX 77073 USA.
   [Barden, Elizabeth M.] Barden Consulting, Bedford, NH 03110 USA.
RP Yang, LY (reprint author), Chinese Acad Sci, Natl Sci Lib, 33 Beisihuan Xilu, Beijing 100080, Peoples R China.
EM yangly@mail.las.ac.cn
FU Ministry of Science and Technology of China [2004CCC00400]
FX This work was partially supported by the Ministry of Science and
   Technology of China (Grant 2004CCC00400).
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NR 21
TC 4
Z9 4
U1 3
U2 17
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAY
PY 2009
VL 79
IS 2
BP 421
EP 434
DI 10.1007/s11192-009-0428-9
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 441OI
UT WOS:000265778100015
ER

PT J
AU Harnad, S
AF Harnad, Stevan
TI Open access scientometrics and the UK Research Assessment Exercise
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 11th International Conference of the
   International-Society-for-Scientometrics-and-Informetrics
CY JUN 25-27, 2007
CL Madrid, SPAIN
SP Int Soc Scientometr & Informetr, CSIC, Minist Educ & Ciencia, FECYT, Comunidad Madrid, Eugene Garfield Fdn, Thomson, Elsevier, Journal Informetr, Scopus, Ayuntamiento Madrid, Sci Metrix, Univ Carlos III Madrid
ID IMPACT
AB Scientometric predictors of research performance need to be validated by showing that they have a high correlation with the external criterion they are trying to predict. The UK Research Assessment Exercise (RAE) - together with the growing movement toward making the full-texts of research articles freely available on the web - offer a unique opportunity to test and validate a wealth of old and new scientometric predictors, through multiple regression analysis: Publications, journal impact factors, citations, co-citations, citation chronometrics (age, growth, latency to peak, decay rate), hub/authority scores, h-index, prior funding, student counts, co-authorship scores, endogamy/exogamy, textual proximity, download/co-downloads and their chronometrics, etc. can all be tested and validated jointly, discipline by discipline, against their RAE panel rankings in the forthcoming parallel panel-based and metric RAE in 2008. The weights of each predictor can be calibrated to maximize the joint correlation with the rankings. Open Access Scientometrics will provide powerful new means of navigating, evaluating, predicting and analyzing the growing Open Access database, as well as powerful incentives for making it grow faster.
C1 Univ Quebec, Inst Cognit Sci, Chaire Rech Canada, Montreal, PQ H3C 3P8, Canada.
RP Harnad, S (reprint author), Univ Quebec, Inst Cognit Sci, Chaire Rech Canada, Montreal, PQ H3C 3P8, Canada.
EM harnad@ccs.soton.ac.uk
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NR 18
TC 11
Z9 11
U1 6
U2 28
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2009
VL 79
IS 1
BP 147
EP 156
DI 10.1007/s11192-009-0409-z
PG 10
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 423HR
UT WOS:000264487900009
ER

PT J
AU Sternitzke, C
   Bergmann, I
AF Sternitzke, Christian
   Bergmann, Isumo
TI Similarity measures for document mapping: A comparative study on the
   level of an individual scientist
SO SCIENTOMETRICS
LA English
DT Article
ID COCITATION; ALGORITHM; SCIENCE
AB This paper investigates the utility of the Inclusion Index, the Jaccard Index and the Cosine Index for calculating similarities of documents, as used for mapping science and technology. It is shown that, provided that the same content is searched across various documents, the Inclusion Index generally delivers more exact results, in particular when computing the degree of similarity based on citation data. In addition, various methodologies such as co-word analysis, Subject-Action-Object (SAO) structures, bibliographic coupling, co-citation analysis, and self-citation links are compared. We find that the two former ones tend to describe rather semantic similarities that differ from knowledge flows as expressed by the citation-based methodologies.
C1 [Sternitzke, Christian] Tech Univ Ilmenau, PATON Landespatentzentrum Thuringen, D-98684 Ilmenau, Germany.
   [Sternitzke, Christian; Bergmann, Isumo] Univ Bremen, IPMI, Bremen, Germany.
RP Sternitzke, C (reprint author), Tech Univ Ilmenau, PATON Landespatentzentrum Thuringen, PF 100 565, D-98684 Ilmenau, Germany.
EM cs@sternitzke.com
RI Sternitzke, Christian/H-5984-2011
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NR 32
TC 28
Z9 28
U1 10
U2 51
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2009
VL 78
IS 1
BP 113
EP 130
DI 10.1007/s11192-007-1961-z
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 387KC
UT WOS:000261950100009
ER

PT J
AU Dastidar, PG
   Ramachandran, S
AF Dastidar, Prabir G.
   Ramachandran, S.
TI Intellectual structure of Antarctic science: A 25-years analysis
SO SCIENTOMETRICS
LA English
DT Article
ID COCITATION; NETWORKS
AB To delineate the intellectual structure of Antarctic science, the research outputs on Antarctic science have been analyzed for a period of 25 years (1980-2004) through a set of scientometrics and network analysis techniques. The study is based on 10,942 records (research articles, letters, reviews, etc.), published in 961 journals/documents, and retrieved from the Science Citation Index (SCI) database. Over the years interest in Antarctic science has increased, as is evident from the growing number of ratified countries and research stations. During the period under study, the productivity has increased 3-times and there is a 13-fold increase in collaborative articles. Attempt has been made to identify important players like scientists, organizations and countries working in the field and to identify frontier areas of research that is being conducted in this continent. The highest 41% scientific output is contributed by the USA and the UK, followed by Australia and Germany. British Antarctic Survey (BAS), UK and Alfred Wegener Institute of Polar & Marine Research, Germany are the most productive institutes in Antarctic science. Maximum number of research articles on Antarctic science, have been published in the journal Polar Biology, indicating substantial work being done on the biology of this continent. The journals-Nature and Science are the highly-cited journals in Antarctic science. The paper written by J. C. Farman et al., published in Nature in 1985, reporting depletion of ozone layer, is the most-cited article. Semantic relationships between cited documents were measured through co-citation analysis. J. C. Farman and S. Solomon are co-cited most frequently.
C1 [Dastidar, Prabir G.] Minist Earth Sci, New Delhi 110003, India.
   [Ramachandran, S.] Univ Madras, Madras, Tamil Nadu, India.
RP Dastidar, PG (reprint author), Minist Earth Sci, Block 9 & 12,CGO Complex,Lodi Rd, New Delhi 110003, India.
EM prabirgd11@gmail.com
RI Dastidar, Prabir G/A-4803-2014
OI Dastidar, Prabir G/0000-0001-5871-6261
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NR 21
TC 4
Z9 4
U1 4
U2 32
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2008
VL 77
IS 3
BP 389
EP 414
DI 10.1007/s11192-007-1947-x
PG 26
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 387KB
UT WOS:000261950000002
ER

PT J
AU Ahlgren, P
   Jarneving, B
AF Ahlgren, Per
   Jarneving, Bo
TI Bibliographic coupling, common abstract stems and clustering: A
   comparison of two document-document similarity approaches in the context
   of science mapping
SO SCIENTOMETRICS
LA English
DT Article
AB This paper deals with two document-document similarity approaches in the context of science mapping: bibliographic coupling and a text approach based on the number of common abstract stems. We used 43 articles, published in the journal Information Retrieval, as test articles. An information retrieval expert performed a classification of these articles. We used the cosine measure for normalization, and the complete linkage method was used for clustering the articles. A number of articles pairs were ranked (1) according to descending normalized coupling strength, and (2) according to descending normalized frequency of common abstract stems. The degree of agreement between the two obtained rankings was low, as measured by Kendall's tau. The agreement between the two cluster solutions, one for each approach, was fairly low, according to the adjusted Rand index. However, there were examples of perfect agreement between the coupling solution and the stems solution. The classification generated by the expert contained larger groups compared to the coupling and stems solutions, and the agreement between the two solutions and the classification was not high. According to the adjusted Rand index, though, the stems solution was a better approximation of the classification than the coupling solution. With respect to cluster quality, the overall Silhouette value was slightly higher for the stems solution. Examples of homogeneous cluster structures, as well as negative Silhouette values, were found with regard to both solutions. The expert classification indicates that the field of information retrieval, as represented by one volume of articles published in Information Retrieval, is fairly heterogeneous regarding research themes, since the classification is associated with 15 themes. The complete linkage method, in combination with the upper tail rule, gave rise to a fairly good approximation of the classification with respect to the number of identified groups, especially in case of the stems approach.
C1 [Ahlgren, Per; Jarneving, Bo] Swedish Sch Lib & Informat Sci, S-50190 Boras, Sweden.
RP Jarneving, B (reprint author), Swedish Sch Lib & Informat Sci, S-50190 Boras, Sweden.
EM bo.jarneving@hb.se
RI Ahlgren, Per/A-5189-2009
OI Ahlgren, Per/0000-0003-0229-3073
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NR 22
TC 17
Z9 17
U1 3
U2 24
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD AUG
PY 2008
VL 76
IS 2
BP 273
EP 290
DI 10.1007/s11192-007-1935-1
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 322UG
UT WOS:000257400200005
ER

PT J
AU He, Y
   Guan, JC
AF He, Ying
   Guan, Jiancheng
TI Contribution of Chinese publications in computer science: A case study
   on LNCS
SO SCIENTOMETRICS
LA English
DT Article
ID RESEARCH PERFORMANCE; KNOWLEDGE PRODUCTION; STRUCTURAL ASPECTS; CITATION
   ANALYSIS; WORD ANALYSIS; CO-CITATION; INFORMATION
AB Conference proceedings are one of the key communication channels in computer science. This paper aims to analyze the Chinese outputs in the context of conference papers in computer science through an exploration of the conference proceedings series book - Lecture Notes in Computer Science (LNCS) in the period of 1997-2005. Results indicate that: 1. The number of Chinese papers in LNCS keeps growing in the studied period; the share of Chinese papers in LNCS in recent years is much higher than that of Chinese SCI papers in the world; In sharp contrast with remarkable growth of the share of Chinese papers in LNCS, the share of SCI articles in top journals of computer science published by the scientists of mainland China is negligible during the same period. 2. Chinese researchers are more likely to collaborate with domestic fellows; 3. In spite of the increasing amounts of Chinese papers in LNCS, they receive only a few citations; 4. The articles are strikingly more cited by authors themselves and international authors' citations are more than Chinese authors' non-self-citations in the first three years after publication; 5. Based on the new indicator Impact Index (II) the authors proposed, the relative impact of Chinese articles in LNCS is increasing although the average impact of Chinese papers in LNCS is obviously less than that of the publications in LNCS in each year during the studied period.
C1 [Guan, Jiancheng] Fudan Univ, Sch Management, Shanghai 200433, Peoples R China.
   [He, Ying] Beijing Univ Aeronaut & Astronaut, Sch Management, Beijing 100083, Peoples R China.
RP Guan, JC (reprint author), Fudan Univ, Sch Management, 670 Guoshun Rd, Shanghai 200433, Peoples R China.
EM guanjianch@buaa.edu.cn
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NR 28
TC 8
Z9 8
U1 1
U2 18
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2008
VL 75
IS 3
BP 519
EP 534
DI 10.1007/s11192-007-1781-1
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 314WJ
UT WOS:000256839600007
ER

PT J
AU Lo, SC
AF Lo, Szu-Chia
TI Patent coupling analysis of primary organizations in genetic engineering
   research
SO SCIENTOMETRICS
LA English
DT Article
ID BASIC RESEARCH LITERATURE; INDICATORS; BIOTECHNOLOGY; SCIENCE
AB The aim of this study is to reveal the possible linkage among the 40 primary organizations in Genetic Engineering Research by taking the Patent Coupling approach. The primary organizations were defined by the productivity and identified by the patent count and Bradford Law. The author analyzed the cited patents of the patents granted by United States Patent and Trademark Office (USPTO) from 1991 to 2002 to the 40 primary organizations (assignees) in Genetics Engineering Research to establish the correlation.
   780 coupling pairs formed by the 40 primary organizations and Coupling Index and Coupling Strength were calculated for each pair and primary organization. Correlation Analysis and Multiple-Dimension Scaling were applied further based on Coupling Index. Technological clusters were found in the results of the analyses.
C1 Natl Chung Hsing Univ, Grad Inst Lib & Informat Sci, Taichung 402, Taiwan.
RP Lo, SC (reprint author), Natl Chung Hsing Univ, Grad Inst Lib & Informat Sci, 250 Kuo Kuang Rd, Taichung 402, Taiwan.
EM loszuchia@gmail.com
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NR 22
TC 4
Z9 4
U1 3
U2 16
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2008
VL 74
IS 1
BP 143
EP 151
DI 10.1007/s11192-008-0110-7
PG 9
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 243XJ
UT WOS:000251830300010
ER

PT J
AU Wang, SJ
AF Wang, Shyh-Jen
TI Factors to evaluate a patent in addition to citations
SO SCIENTOMETRICS
LA English
DT Article
ID SCIENTIFIC LITERATURE; TECHNOLOGY; COMPETITION; TELL
AB The emergence of patent citations as a tool for patent estimation has been subjected to equally vocal champions and critics. In additional to patent citation, this article aims to contribute other factors, including court decisions, claim language, extension cases, patent family and portfolio, which should be deliberated during patent evaluation. It introduces the subject-matter by discussing the specialties and peculiarities of these proposed factors. Furthermore, comparisons between the patent citations and these factors are presented by illustrating several well-known patents. The results of the comparisons reveal that an adverse conclusion might be drawn if a patent is estimated only based on citations. The conclusion supports Meyer's study that "the general nature of a common framework for both scientific and patent citations would severely limit its usefulness." Therefore, those factors discussed in the article would be a great asset in patent evaluation. However, it only illustrates their impact on patent estimation using a couple well-known patents. Future research would be needed to investigate these factors in a more detailed manner.
C1 Taipei Vet Gen Hosp, Div Expt Surg, Taipei 112, Taiwan.
   Natl Yang Ming Univ, Inst Biomed Engn, Taipei 112, Taiwan.
   Natl Taiwan Univ Sci & Technol, Taipei, Taiwan.
RP Wang, SJ (reprint author), Taipei Vet Gen Hosp, Div Expt Surg, 201 Sect 2,Shih Pai Rd, Taipei 112, Taiwan.
EM wangsj@vghtpe.gov.tw
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NR 32
TC 12
Z9 13
U1 7
U2 26
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2007
VL 71
IS 3
BP 509
EP 522
DI 10.1007/s11192-007-1698-8
PG 14
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 166IS
UT WOS:000246373000011
ER

PT J
AU Kuusi, O
   Meyer, M
AF Kuusi, Osmo
   Meyer, Martin
TI Anticipating technological breakthroughs: Using bibliographic coupling
   to explore the nanotubes paradigm
SO SCIENTOMETRICS
LA English
DT Article
ID SCIENCE; COCITATION; INDICATORS; DOCUMENTS
AB There is general consensus that the field of nanotechnology will be very important in the future. An open question is, however, which technological approaches or paradigms will be important in the field. The paper assumes that the carbon nanotube will be a key element of an emerging technological paradigm in nanotechnology. This study employs a bibliometric method - bibliographic coupling - to identify important nanotubes-related 'leitbilder' - a concept meaning 'guiding images' that provide a basis for different professions and disciplines to work in the same direction. Until recently, bibliographic coupling has been applied rarely for purposes of research evaluation, not to mention technology foresight. Our case study seems to suggest that bibliographic coupling is particularly suitable for anticipating technological breakthroughs. Bibliographic coupling analysis of recent nanotube-related patents focused our attention to recent patents owned by Nantero Inc. Nantero's main focus is the development of NRAM - a high-density nonvolatile random access memory. The NRAM leitbild seems to be an important emerging leitbild. It connects technical opportunities and promising applications relating to the memories in devices such as cell phones, MP3 players, digital cameras, as well as applications in networking arena.
C1 VATT Govt Inst Econ Res, Helsinki 00101, Finland.
   Univ Sussex, SPRU, Brighton, E Sussex, England.
   Katholieke Univ Leuven, Steunpunt O&O Indicatoren Vlaamse Gemeenschap, Louvain, Belgium.
   Helsinki Univ Technol, Inst Strategy & Int Business, FIN-02150 Espoo, Finland.
RP Kuusi, O (reprint author), VATT Govt Inst Econ Res, Arkadiankatu 7,PL 1279, Helsinki 00101, Finland.
EM osmo.kuusi@vatt.fi
RI Meyer, Martin/A-2143-2013; 
OI Meyer, Martin/0000-0002-5598-9480
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NR 32
TC 12
Z9 12
U1 4
U2 21
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD MAR
PY 2007
VL 70
IS 3
BP 759
EP 777
DI 10.1007/s11192-007-0311-5
PG 19
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 140MO
UT WOS:000244509600011
ER

PT J
AU Lo, SC
AF Lo, Szu-Chia
TI Patent analysis of genetic engineering research in Japan, Korea and
   Taiwan
SO SCIENTOMETRICS
LA English
DT Article
ID SCIENTIFIC PAPERS; INDICATORS; BIBLIOMETRICS; BIOTECHNOLOGY; STATISTICS;
   KNOWLEDGE; SECTORS
AB The aim of this study is to reveal the research growth, the distribution of research productivity and impact of genetic engineering research in Japan, Korea and Taiwan by taking patent bibliometrics approach. This study uses quantitative methods adopt from bibliometrics to analyze the patents granted to Japan, Korea and Taiwan by United States Patent and Trademark Office (USPTO) from 1991 to 2002. In addition to patent and citation count, Bradford's Law is applied to identify core assignees in genetic engineering. Patent coupling approach is taken to further analyze the patents granted to the core assignees to enclose the correlations among the core assignees.
   13,055 genetic engineering patents were granted during the period of 1991 to 2002. Japan, Korea and Taiwan own 841 patents and Japan owns most of them. 270 assignees shared 841 patents and 16 core assignees are identified by the Bradford's Law. 18,490 patents were cited by the 13,055 patents and 1,146 out of the 18,490 cited patents were granted to Japan, Korea and Taiwan. The results show Japan performs best in productivity and research impact among three countries. The core assignees are also Japan based institutions and four technical clusters are identified by patent coupling.
C1 Natl Cheng Kung Univ, Univ Lib, Tainan 70101, Taiwan.
RP Lo, SC (reprint author), Natl Cheng Kung Univ, Univ Lib, Tainan 70101, Taiwan.
EM losu@mail.ncku.edu.tw
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NR 26
TC 7
Z9 7
U1 0
U2 17
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JAN
PY 2007
VL 70
IS 1
BP 183
EP 200
DI 10.1007/s11192-007-0111-y
PG 18
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 125VN
UT WOS:000243471400011
ER

PT J
AU Balaban, AT
   Klein, DJ
AF Balaban, Alexandru T.
   Klein, Douglas J.
TI Is chemistry 'The Central Science'? How are different sciences related?
   Co-citations, reductionism, emergence, and posets
SO SCIENTOMETRICS
LA English
DT Article
ID SCIENTIFIC LITERATURES; UNDERSTANDING LIFE; BIOLOGY
AB According to a widely used introductory chemistry text by T. E. Brown et al.,(1) chemistry is 'The Central Science'. But scientometric co-citation analyses indicate that biochemistry seems presently to be more interconnected to other sciences. On the other hand, mathematics is considered by many to permeate all sciences and hence might compete as the choice for centrality. A critical commentary and argument leads to a proposal for an alternative partially ordered hierarchical *'framework" map of sciences. This argument is supplemented by a scientometric approach based on university Course requirements for different curricula, so as to support our partially ordered map. This alternative "framework" mapping then is seen to indicate a special position for chemistry, as where significant branching begins.
C1 Texas A&M Univ, Galveston, TX 77551 USA.
RP Balaban, AT (reprint author), Texas A&M Univ, 5007 Ave U, Galveston, TX 77551 USA.
EM balabana@tamug.edu
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NR 55
TC 12
Z9 13
U1 2
U2 13
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2006
VL 69
IS 3
BP 615
EP 637
DI 10.1007/s11192-006-0173-2
PG 23
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 114NF
UT WOS:000242672200010
ER

PT J
AU Persson, O
AF Persson, Olle
TI Exploring the analytical potential of comparing citing and cited source
   items
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 10th International Conference on Scientometrics and Informetrics
CY JUL, 2005
CL Karolinska Inst, Stockholm, SWEDEN
SP Int Soc Scientometr & Informetr
HO Karolinska Inst
ID COLLABORATION; INDICATORS; CITATIONS; NETWORKS
AB Comparing properties of citing and cited source items opens a wide variety of analytical possibilities. In a study of citations among papers in the journal Scientometrics a number of analytical themes are identified. The analysis shows: the way in which a citation graph can be decomposed into different subparts; country specific citation patterns; the effects of self-citations and domestic citations; the mapping of cited author relationships using direct citation and co-citation links; and time slicing effects on impact ranking of countries and papers.
C1 Umea Univ, Dept Sociol, Inforsk, SE-90187 Umea, Sweden.
RP Persson, O (reprint author), Umea Univ, Dept Sociol, Inforsk, SE-90187 Umea, Sweden.
EM olle.persson@soc.umu.se
RI Persson, Olle/A-8708-2011; Lundgren, Maritha/A-8846-2011
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TC 0
Z9 1
U1 3
U2 10
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2006
VL 68
IS 3
BP 561
EP 572
DI 10.1007/s11192-006-0130-0
PG 12
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 067KK
UT WOS:000239300600016
ER

PT J
AU Small, H
AF Small, Henry
TI Tracking and predicting growth areas in science
SO SCIENTOMETRICS
LA English
DT Article; Proceedings Paper
CT 10th International Conference on Scientometrics and Informetrics
CY JUL, 2005
CL Karolinska Inst, Stockholm, SWEDEN
SP Int Soc Scientometr & Informetr
HO Karolinska Inst
ID SCIENTIFIC DISCOVERY; MATHEMATICAL APPROACH; CITATION-INDEX;
   LITERATURES; COCITATION
AB We explore the possibility of using co-citation clusters over three time periods to track the emergence and growth of research areas, and predict their near term change. Data sets are from three overlapping six-year periods: 1996-2001, 1997-2002 and 1998-2003. The methodologies of co-citation clustering, mapping, and string formation are reviewed, and a measure of cluster currency is defined as the average age of highly cited papers relative to the year span of the data set. An association is found between the currency variable in a prior period and the percentage change in cluster size and citation frequency in the following period. The conflating factor of "single-issue clusters" is discussed and dealt with using a new metric called in-group citation.
C1 Thomson Sci, Philadelphia, PA 19104 USA.
RP Small, H (reprint author), Thomson Sci, 3501 Market, Philadelphia, PA 19104 USA.
EM henry.small@thomson.com
RI Small, Henry/A-1026-2007
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TC 83
Z9 84
U1 6
U2 48
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD DEC
PY 2006
VL 68
IS 3
BP 595
EP 610
DI 10.1007/s11192-006-0132-y
PG 16
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 067KK
UT WOS:000239300600018
ER

PT J
AU Rivellini, G
   Rizzi, E
   Zaccarin, S
AF Rivellini, G
   Rizzi, E
   Zaccarin, S
TI The science network in Italian population research: An analysis
   according to the social network perspective
SO SCIENTOMETRICS
LA English
DT Article
ID PATTERNS
AB The scientific community organises its relationships into network patterns, where the nodes are individuals (scientists) and the links are acquaintance and common work, usually presented at workshops and conferences and/or published in books and scientific journals. A references review on Population Studies by Italian scientists is delivered every two years by the Demography Section of the Italian Statistical Society; the review is exhaustive for academic demographers.
   In this paper, the properties of the demographers' network in 1998-1999 are evaluated. with the aim of identifying factors which may influence collaborative relations among actors. The probability of cooperation between couples (dyads) of demographers is modelled, conditionally oil observed characteristics of the dyad (sex, academic position, university affiliation). Main results suggest that "closeness", defined in a wider sense and not simply as geographical proximity, plays a major role in determining actors' relationships.
C1 Univ Cattolica Sacro Cuore, I-20123 Milan, Italy.
   Univ Trieste, Trieste, Italy.
RP Rivellini, G (reprint author), Univ Cattolica Sacro Cuore, I-20123 Milan, Italy.
EM giulia.rivellini@unicatt.it
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NR 13
TC 3
Z9 3
U1 5
U2 11
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD JUN
PY 2006
VL 67
IS 3
BP 407
EP 418
DI 10.1556/Scient.67.2006.3.5
PG 12
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 052VL
UT WOS:000238261900005
ER

PT J
AU Schildt, HA
   Mattsson, JT
AF Schildt, HA
   Mattsson, JT
TI A dense network sub-grouping algorithm for co-citation analysis and its
   implementation in the software tool Sitkis
SO SCIENTOMETRICS
LA English
DT Article
ID STRATEGIC MANAGEMENT RESEARCH; WORD ANALYSIS; ECONOMICS; JOURNALS;
   ARTICLES; SCIENCE; ENTREPRENEURSHIP; BIBLIOMETRICS; INDICATORS; SCHOLARS
AB Clustering algorithms are used prominently in co-citation analysis by analysts aiming to reveal research streams within a field. However, clustering of widely cited articles is not robust to small variations in citation patterns. We propose an alternative algorithm, dense network sub-grouping, which identifies dense groups of co-cited references. We demonstrate the algorithm using a data set from the field of family business research and compare it to two alternative methods, multidimensional scaling and clustering. We also introduce a free software tool, Sitkis. that implements the algorithm and other common bibliometric methods. The software identifies journal-, country- and university-specific citation patterns and co-citation groups, enabling the identification of "invisible colleges.".
C1 Helsinki Univ Technol, Inst Strategy & Int Business, Dept Ind Engn & Management, FIN-02150 Espoo, Finland.
RP Schildt, HA (reprint author), POB 5500, Espoo 02015, Finland.
EM henri.schildt@hut.fi
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NR 57
TC 21
Z9 25
U1 7
U2 31
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0138-9130
J9 SCIENTOMETRICS
JI Scientometrics
PD APR
PY 2006
VL 67
IS 1
BP 143
EP 163
DI 10.1556/Scient.67.2006.1.9
PG 21
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
SC Computer Science; Information Science & Library Science
GA 020JE
UT WOS:000235904000009
ER
