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Research on the cross-citation relationship of core authors in scientometrics

Author

Listed:
  • Feifei Wang

    (Wuhan University)

  • Junping Qiu

    (Wuhan University)

  • Houqiang Yu

    (Wuhan University)

Abstract

Generally speaking, citation relationship among authors can be divided into 3 types: co-citation, coupling and cross-citation. Since author co-citation analysis was first introduced in 1982, it has been widely applied to study discipline structure, research state and research trends. Afterwards, conception of author bibliographic-coupling analysis was put forward and related empirical studies provided a method for mapping active authors in a research field for a more realistic picture of the current state of its research activities. Additionally, if one of author A’s papers has a citation from one of author B’s, there is cross-citation relationship between A and B. However, studies based on author cross-citation relationship mainly describe citation behaviors themselves using citation identity and citation image; they rarely involve any implicit knowledge communication, author research correlation or discovering academic communities. Author cross-citation analysis infers to both citing and cited phenomenon, which can be roughly correspond to citation identity and citation image. The study will further explore the author cross-citation relationship with core authors in scientometrics field as study object in order to provide reference for development of scientometrics field and in-depth application of citation analysis.

Suggested Citation

  • Feifei Wang & Junping Qiu & Houqiang Yu, 2012. "Research on the cross-citation relationship of core authors in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 1011-1033, June.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-012-0621-0
    DOI: 10.1007/s11192-012-0621-0
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    References listed on IDEAS

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    1. Urs Schoepflin & Wolfgang Glänzel, 2001. "Two decades of "Scientometrics". An interdisciplinary field represented by its leading journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 301-312, February.
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    Citations

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    Cited by:

    1. Yang, Siluo & Wang, Feifei, 2015. "Visualizing information science: Author direct citation analysis in China and around the world," Journal of Informetrics, Elsevier, vol. 9(1), pages 208-225.
    2. A. Abrizah & Mohammadamin Erfanmanesh & Vala Ali Rohani & Mike Thelwall & Jonathan M. Levitt & Fereshteh Didegah, 2014. "Sixty-four years of informetrics research: productivity, impact and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 569-585, October.
    3. Saeideh Ebrahimy & Farideh Osareh, 2014. "Design, validation, and reliability determination a citing conformity instrument at three levels: normative, informational, and identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 581-597, May.
    4. Wang, Feifei & Dong, Jiaxin & Lu, Wanzhao & Xu, Shuo, 2023. "Collaboration prediction based on multilayer all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 17(1).
    5. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    6. Wang, Feifei & Jia, Chenran & Wang, Xiaohan & Liu, Junwan & Xu, Shuo & Liu, Yang & Yang, Chenyuyan, 2019. "Exploring all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 13(3), pages 856-873.

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