IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v102y2015i1d10.1007_s11192-014-1339-y.html
   My bibliography  Save this article

Knowledge flow out of the domain of information science: a bibliometric and citation analysis study

Author

Listed:
  • Ming-yueh Tsay

    (National Chengchi University)

Abstract

Through the bibliometric approach and citation analysis, this study analyzes the disciplines and subjects of literature citing important information science journals during the period from 1998 to 2010. The four information science journals under study include Journal of the American Society for Information Science and Technology, Information Processing and Management, the Journal of Information Science, and the Journal of Documentation. The Ulrich’s Periodical Directory, Library of Congress Subject Headings retrieved from WorldCat and the LISA database were used to identify the main classes, subclasses, and subjects of citing journals. We also indentify and analyze the highly citing journals, the main classes and subclasses of citing journals for the four journals under study as well as highly cited subjects in journals related to library and information science. Overall, the knowledge flow out of the domain of information science mainly includes information science itself, and also science and technology at a lower percentage. Moreover, there are minor outputs for various other subjects. The comparison of knowledge flow into and out of the domain of information science reveals the main knowledge flow is into information science itself. This comparison also reveals significant knowledge flow from computer science to information science.

Suggested Citation

  • Ming-yueh Tsay, 2015. "Knowledge flow out of the domain of information science: a bibliometric and citation analysis study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 487-502, January.
  • Handle: RePEc:spr:scient:v:102:y:2015:i:1:d:10.1007_s11192-014-1339-y
    DOI: 10.1007/s11192-014-1339-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-014-1339-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-014-1339-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Ming-yueh Tsay, 2011. "A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 591-606, November.
    2. Bluma C. Peritz & Judit Bar-Ilan, 2002. "The sources used by bibliometrics-scientometrics as reflected in references," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(2), pages 269-284, June.
    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. Lyu, Haihua & Bu, Yi & Zhao, Zhenyue & Zhang, Jiarong & Li, Jiang, 2022. "Citation bias in measuring knowledge flow: Evidence from the web of science at the discipline level," Journal of Informetrics, Elsevier, vol. 16(4).
    2. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    3. Ruimin Ma & Erjia Yan, 2016. "Uncovering inter-specialty knowledge communication using author citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 839-854, November.
    4. Yue, Zenghui & Xu, Haiyun & Yuan, Guoting & Pang, Hongshen, 2019. "Modeling study of knowledge diffusion in scientific collaboration networks based on differential dynamics: A case study in graphene field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 375-391.
    5. Guijie Zhang & Luning Liu & Fangfang Wei, 2019. "Key nodes mining in the inventor–author knowledge diffusion network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 721-735, March.

    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. Mike Thelwall, 2017. "Judit Bar-Ilan: information scientist, computer scientist, scientometrician," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1235-1244, December.
    2. Yunwei Chen & Katy Börner & Shu Fang, 2013. "Evolving collaboration networks in Scientometrics in 1978–2010: a micro–macro analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 1051-1070, June.
    3. Wen-Yau Cathy Lin, 2012. "Research status and characteristics of library and information science in Taiwan: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 7-21, July.
    4. Juan Miguel Campanario, 2018. "Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations," Publications, MDPI, vol. 6(4), pages 1-15, November.
    5. Staša Milojević & Loet Leydesdorff, 2013. "Information metrics (iMetrics): a research specialty with a socio-cognitive identity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 141-157, April.
    6. Yuliia Shevtsova & Hanna Shemaieva, 2020. "Content analysis of European library and information science journals," Technium Social Sciences Journal, Technium Science, vol. 8(1), pages 161-170, June.
    7. Maja Jokić & Andrea Mervar & Stjepan Mateljan, 2019. "Comparative analysis of book citations in social science journals by Central and Eastern European authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1005-1029, September.
    8. Xingjian Liu & F. Benjamin Zhan & Song Hong & Beibei Niu & Yaolin Liu, 2012. "A bibliometric study of earthquake research: 1900–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 747-765, September.
    9. 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.
    10. Ming-yueh Tsay, 2011. "A bibliometric analysis and comparison on three information science journals: JASIST, IPM, JOD, 1998–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 591-606, November.
    11. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
    12. Iñaki Ucar & Felipe López-Fernandino & Pablo Rodriguez-Ulibarri & Laura Sesma-Sanchez & Veronica Urrea-Micó & Joaquín Sevilla, 2014. "Growth in the number of references in engineering journal papers during the 1972–2013 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1855-1864, March.
    13. Bar-Ilan Judit, 2004. "Self-linking and self-linked rates of academic institutions on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 29-41, January.

    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:102:y:2015:i:1:d:10.1007_s11192-014-1339-y. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    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 (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.