IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i3d10.1007_s11192-023-04927-8.html
   My bibliography  Save this article

Co-citation analysis between coupler authors of a scientific domain’s citation identity: a case study in scientometrics

Author

Listed:
  • Rafael Gutierres Castanha

    (Universidade de Marília (Unimar))

  • Maria Claudia Cabrini Grácio

    (Sao Paulo State University - UNESP)

  • Antonio Perianes-Rodríguez

    (Universidad Carlos III de Madrid)

Abstract

This research aims to visualize the intensity of proximity between authors simultaneously cited (couplers) through a set of articles of great interest to the scientometric community. Author co-citation analysis consecutively to bibliographic coupling analysis of articles allows a more refined and significant analysis for the representation of the complex scientific structure that forms the research front of a scientific field. This refinement was entitled Co-citation Analysis between Coupler Authors (CCA). As universe of analysis, we retrieved all reference lists (cited authors) of the 10 most downloaded articles from the Scientometrics journal in 2020. Then, the coupling was established between the citing articles and following, the co-citation between all the cited authors and between the coupler authors only. There were 663 different authors cited by the 10 articles, and the analysis promoted a refinement of 89.4% authors compared to all cited authors, constituting a more reliable representation of the intellectual structure of the articles. The association between the methods will identify which and how often the citing items come together, who the coupler authors responsible for this approach are, and how the co-citation between them is configured.

Suggested Citation

  • Rafael Gutierres Castanha & Maria Claudia Cabrini Grácio & Antonio Perianes-Rodríguez, 2024. "Co-citation analysis between coupler authors of a scientific domain’s citation identity: a case study in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1545-1566, March.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-023-04927-8
    DOI: 10.1007/s11192-023-04927-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-023-04927-8
    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/s11192-023-04927-8?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. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    2. Howard D. White, 2001. "Authors as citers over time," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(2), pages 87-108.
    3. Dangzhi Zhao & Andreas Strotmann, 2008. "Information science during the first decade of the web: An enriched author cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 916-937, April.
    4. Leo Egghe & Ronald Rousseau, 2002. "Co-citation, bibliographic coupling and a characterization of lattice citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 349-361, November.
    5. Howard D. White, 1981. "Cocited author retrieval online: An experiment with the social indicators literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(1), pages 16-21, January.
    6. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    7. Dangzhi Zhao & Andreas Strotmann, 2008. "Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic‐coupling analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2070-2086, November.
    8. Vladimir Batagelj & Monika Cerinšek, 2013. "On bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 845-864, September.
    9. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    10. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    11. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    12. Henry Small, 2004. "On the shoulders of Robert Merton: Towards a normative theory of citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(1), pages 71-79, May.
    Full references (including those not matched with items on IDEAS)

    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. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    2. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    3. 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.
    4. Song Yanhui & Lei Lixin, 2024. "Inventor bibliographic-patent-coupling analysis and inventor-patent-classification-coupling analysis: a comparative analysis based on NPE," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 745-765, February.
    5. Gangan Prathap & Somenath Mukherjee, 2020. "Letter to the Editor: Comments on the paper of Batagelj—on fractional approach to analysis of linked networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2717-2722, September.
    6. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    7. João Paulo Coelho Ribeiro & Fábio Duarte & Ana Paula Matias Gama, 2022. "Does microfinance foster the development of its clients? A bibliometric analysis and systematic literature review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
    8. Bo Liu & Wei Song & Qian Sun, 2022. "Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(23), pages 1-30, November.
    9. Vladimir Batagelj, 2020. "On fractional approach to analysis of linked networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 621-633, May.
    10. 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.
    11. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    12. Prathap, Gangan & Ujum, Ephrance Abu & Kumar, Sameer & Ratnavelu, Kuru, 2021. "Scoring the resourcefulness of researchers using bibliographic coupling patterns," Journal of Informetrics, Elsevier, vol. 15(3).
    13. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    14. Yong Huang & Yi Bu & Ying Ding & Wei Lu, 2018. "Number versus structure: towards citing cascades," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2177-2193, December.
    15. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    16. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
    17. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    18. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    19. Gorupec Natalia & Brehmer Nataliia & Tiberius Victor & Kraus Sascha, 2022. "Tackling uncertain future scenarios with real options: A review and research framework," The Irish Journal of Management, Sciendo, vol. 41(1), pages 69-88, July.
    20. Saurav Chandra Talukder & Zoltán Lakner, 2023. "Exploring the Landscape of Social Entrepreneurship and Crowdfunding: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(12), pages 1-22, June.

    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:129:y:2024:i:3:d:10.1007_s11192-023-04927-8. 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.