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Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016

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  • Chien Hsiang Liao

    (Fu Jen Catholic University)

  • Mu-Yen Chen

    (National Taichung University of Science and Technology)

Abstract

A substantial number of studies have examined the journal quality and ranked them using academic survey, scientometric indicator, or citation analysis. This study aims to investigate library and information science (LIS) journal impact from a different perspective: the knowledge contribution to peer journals in the LIS field. The data are selected from the SSCI and SCI databases by Thomson Reuters from 2009 to 2016. Based on the criterion that the journal has at least 6 years of citation data, a total of 26 LIS-related journals were selected for this study. These journals are divided into four quadrants according to their knowledge impact on peer journals. This study not only uses social network analysis to investigate the citation patterns among the journals and rank the journals based on different structural characteristics in the network but also examines the formation of subfields through clustering analysis. The findings suggest research avenues for LIS scholars and journal editors, such as identifying research subgroups and formulating strategies for LIS journal development.

Suggested Citation

  • Chien Hsiang Liao & Mu-Yen Chen, 2018. "Exploring knowledge patterns of library and information science journals within the field: a citation analysis from 2009 to 2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1991-2008, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2925-1
    DOI: 10.1007/s11192-018-2925-1
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Hilary I. Okagbue & Jaime A. Teixeira da Silva, 2020. "Correlation between the CiteScore and Journal Impact Factor of top-ranked library and information science journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 797-801, July.
    3. Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Can open access increase LIS research’s policy impact? Using regression analysis and causal inference," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4825-4854, August.
    4. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    5. Hilary I. Okagbue & Jaime A. Teixeira da Silva & Abiodun A. Opanuga, 2020. "Disparities in document indexation in two databases (Scopus and Web of Science) among six subject domains, and the impact on journal-based metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2821-2825, December.

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