IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i3d10.1007_s11192-018-2925-1.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2925-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cassidy R. Sugimoto & Jean A. Pratt & Karina Hauser, 2008. "Using field cocitation analysis to assess reciprocal and shared impact of LIS/MIS fields," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(9), pages 1441-1453, July.
    2. Chang-Ping Hu & Ji-Ming Hu & Sheng-Li Deng & Yong Liu, 2013. "A co-word analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 369-382, November.
    3. repec:dau:papers:123456789/8142 is not listed on IDEAS
    4. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    5. Loet Leydesdorff & Tobias Opthof, 2010. "Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2365-2369, November.
    6. Thomas E. Nisonger, 1999. "JASIS and library and information science journal rankings: A review and analysis of the last half‐century," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(11), pages 1004-1019.
    7. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    8. Loet Leydesdorff, 2006. "Can scientific journals be classified in terms of aggregated journal‐journal citation relations using the Journal Citation Reports?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(5), pages 601-613, March.
    9. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    10. Duane Truex & Michael Cuellar & Hirotoshi Takeda & Richard Vidgen, 2011. "The Scholarly Influence of Heinz Klein: Ideational and Social Measures of His Impact on IS Research and IS Scholars," Post-Print halshs-00662462, HAL.
    11. Michael E. Whitman & Anthony R. Hendrickson & Anthony M. Townsend, 1999. "Research Commentary. Academic Rewards for Teaching, Research, and Service: Data and Discourse," Information Systems Research, INFORMS, vol. 10(2), pages 99-109, June.
    12. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    13. Anton J Nederhof, 2011. "A bibliometric study of productivity and impact of modern language and literature research," Research Evaluation, Oxford University Press, vol. 20(2), pages 117-129, June.
    14. Michel Zitt & Henry Small, 2008. "Modifying the journal impact factor by fractional citation weighting: The audience factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1856-1860, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mingkun Wei, 2020. "Research on impact evaluation of open access journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1027-1049, February.
    2. Lutz Bornmann & Alexander Tekles & Loet Leydesdorff, 2019. "How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1187-1205, May.
    3. Michel Zitt, 2012. "The journal impact factor: angel, devil, or scapegoat? A comment on J.K. Vanclay’s article 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 485-503, August.
    4. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    5. Wang, Xing & Zhang, Zhihui, 2020. "Improving the reliability of short-term citation impact indicators by taking into account the correlation between short- and long-term citation impact," Journal of Informetrics, Elsevier, vol. 14(2).
    6. Nees Jan van Eck & Ludo Waltman & Anthony F J van Raan & Robert J M Klautz & Wilco C Peul, 2013. "Citation Analysis May Severely Underestimate the Impact of Clinical Research as Compared to Basic Research," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-6, April.
    7. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    8. Mutz, Rüdiger & Daniel, Hans-Dieter, 2012. "Skewed citation distributions and bias factors: Solutions to two core problems with the journal impact factor," Journal of Informetrics, Elsevier, vol. 6(2), pages 169-176.
    9. Judit Bar-Ilan, 2012. "Journal report card," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 249-260, August.
    10. Wolfgang Glänzel & Henk F. Moed, 2013. "Opinion paper: thoughts and facts on bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 381-394, July.
    11. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    12. Lehmann, Robert & Wohlrabe, Klaus, 2017. "Who is the ‘Journal Grand Master’? A new ranking based on the Elo rating system," Journal of Informetrics, Elsevier, vol. 11(3), pages 800-809.
    13. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    14. Mingers, John & Yang, Liying, 2017. "Evaluating journal quality: A review of journal citation indicators and ranking in business and management," European Journal of Operational Research, Elsevier, vol. 257(1), pages 323-337.
    15. B Ian Hutchins & Xin Yuan & James M Anderson & George M Santangelo, 2016. "Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level," PLOS Biology, Public Library of Science, vol. 14(9), pages 1-25, September.
    16. M. Zitt, 2011. "Behind citing-side normalization of citations: some properties of the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 329-344, October.
    17. Guijie Zhang & Luning Liu & Yuqiang Feng & Zhen Shao & Yongli Li, 2014. "Cext-N index: a network node centrality measure for collaborative relationship distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 291-307, October.
    18. Guan, Jiancheng & Yan, Yan & Zhang, Jing Jing, 2017. "The impact of collaboration and knowledge networks on citations," Journal of Informetrics, Elsevier, vol. 11(2), pages 407-422.
    19. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    20. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2925-1. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Springer Nature Abstracting and Indexing). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.