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One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports

Author

Listed:
  • Mu-hsuan Huang

    (National Taiwan University
    National Taiwan University)

  • Wang-Ching Shaw

    (Chung-Hua Institution for Economic Research)

  • Chi-Shiou Lin

    (National Taiwan University
    National Taiwan University)

Abstract

Journal Citation Reports (JCR) and its journal ranking in terms of impact factor are highly influential in research evaluation. Comparisons of impact factor are valuable only when journals are of the same subject. However, a particular JCR subject category, Information Science and Library Science (IS–LS), combines two different study fields, namely Management Information Systems (MIS) and Library and Information Science (LIS). The combination of these subjects in a single category has caused the undesirable suppression of LIS journals in annual rankings. This study used papers and citation data from 88 IS–LS journals published between 2005 and 2014 to study subfield differences between MIS and LIS and their impact factor performances over 10 years. The study further examined the subfield differences within LIS, examining the differences and performances of library science, information science, and scientometric research. The results indicate that MIS and LIS are considerably different in terms of publishing and citation characteristics, cited subjects, and author affiliations. Moreover, significant differences were observed among LIS subfields. Furthermore, the results suggested that MIS and LIS pertain to two different research communities. Stakeholders must consider this difference and allow reasonable subfield differentiation and rank adjustment when using JCR for constructive research evaluations.

Suggested Citation

  • Mu-hsuan Huang & Wang-Ching Shaw & Chi-Shiou Lin, 2019. "One category, two communities: subfield differences in “Information Science and Library Science” in Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1059-1079, May.
    • Handle: RePEc:spr:scient:v:119:y:2019:i:2:d:10.1007_s11192-019-03074-3
    DOI: 10.1007/s11192-019-03074-3
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    6. Tsung-Ming Hsiao & Kuang-hua Chen, 2020. "The dynamics of research subfields for library and information science: an investigation based on word bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 717-737, October.
    7. Sümeyye Akça & Özlem Şenyurt, 2023. "Geographical representation of editorial boards: a review in the field of library and information sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1409-1427, February.
    8. Zhang, Tianjiao & Shi, Jin & Situ, Lingyun, 2021. "The correlation between author-editorial cooperation and the author’s publications in journals," Journal of Informetrics, Elsevier, vol. 15(1).
    9. Katchanov, Yurij L. & Markova, Yulia V. & Shmatko, Natalia A., 2019. "The distinction machine: Physics journals from the perspective of the Kolmogorov–Smirnov statistic," Journal of Informetrics, Elsevier, vol. 13(4).

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