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

CATAR

Yuen-Hsien Tseng, Ming Yueh Tsay

Research output: Contribution to journalArticle

20 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)503-528
Number of pages26
JournalScientometrics
Volume95
Issue number2
DOIs
Publication statusPublished - 2013 Jan 1

Fingerprint

Information science
information science
evaluation research
multidimensional scaling
Management information systems
MIS
regionalism
science
evaluation
ranking
social isolation
university

Keywords

  • Bibliographic coupling
  • Document clustering
  • Freeware
  • Journal classification
  • Research performance evaluation

ASJC Scopus subject areas

  • Social Sciences(all)
  • Computer Science Applications
  • Library and Information Sciences

Cite this

Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit : CATAR. / Tseng, Yuen-Hsien; Tsay, Ming Yueh.

In: Scientometrics, Vol. 95, No. 2, 01.01.2013, p. 503-528.

Research output: Contribution to journalArticle

@article{4955bd78d4674c8597790a654b7f4676,
title = "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR",
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.",
keywords = "Bibliographic coupling, Document clustering, Freeware, Journal classification, Research performance evaluation",
author = "Yuen-Hsien Tseng and Tsay, {Ming Yueh}",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/s11192-013-0964-1",
language = "English",
volume = "95",
pages = "503--528",
journal = "Scientometrics",
issn = "0138-9130",
publisher = "Springer Netherlands",
number = "2",

}

TY - JOUR

T1 - Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit

T2 - CATAR

AU - Tseng, Yuen-Hsien

AU - Tsay, Ming Yueh

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

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.

KW - Bibliographic coupling

KW - Document clustering

KW - Freeware

KW - Journal classification

KW - Research performance evaluation

UR - http://www.scopus.com/inward/record.url?scp=84876076787&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876076787&partnerID=8YFLogxK

U2 - 10.1007/s11192-013-0964-1

DO - 10.1007/s11192-013-0964-1

M3 - Article

VL - 95

SP - 503

EP - 528

JO - Scientometrics

JF - Scientometrics

SN - 0138-9130

IS - 2

ER -