Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR

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 an...

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Published inScientometrics Vol. 95; no. 2; pp. 503 - 528
Main Authors Tseng, Yuen-Hsien, Tsay, Ming-Yueh
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.05.2013
Springer
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Abstract 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.
AbstractList 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.
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. Adapted from the source document.
Author Tseng, Yuen-Hsien
Tsay, Ming-Yueh
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  fullname: Tsay, Ming-Yueh
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Issue 2
Keywords Research performance evaluation
Bibliographic coupling
Journal classification
Freeware
Document clustering
Research field
Periodical
Cluster
Bibliometric analysis
Graphics
Filing
Bibliometrics
Scientific research
Classification
Language English
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SSID ssj0007308
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Snippet A series of techniques based on bibliometric clustering and mapping for scientometrics analysis was implemented in a software toolkit called CATAR for free...
SourceID proquest
pascalfrancis
crossref
springer
SourceType Aggregation Database
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Enrichment Source
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StartPage 503
SubjectTerms Bibliometrics
Bibliometrics. Scientometrics
Bibliometrics. Scientometrics. Evaluation
Clustering
Computer Science
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Title Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR
URI https://link.springer.com/article/10.1007/s11192-013-0964-1
https://www.proquest.com/docview/1718054865
Volume 95
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