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A new citation concept: Triangular citation in the literature

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  • Liu, Yunmei
  • Yang, Liu
  • Chen, Min

Abstract

This paper introduces the concept of triangular citation that combines direct citation, co-citation and bibliographic coupling, and defines three kinds of literature used in triangular citation, namely, original Literature A, intermediary Literature B and following Literature C. Taking citation data from the CNKI database as the experimental sample, it was found that there are triangular citations in the actual citation network, with a high coverage rate. Additionally, the authors analyzed the triangular citation sample data from the different perspectives of reference time, literature type, impact factor, interdisciplinary citation, and the author’s self-citation, thereby finding the external characteristics of literature and internal trends of citation in the triangular citation. Additionally, it was concluded that the literature between A and C has an “indirect citation” mechanism. The citation characteristics of the two, i.e., A and C, are different from the direct citation relationship characteristics of A and B and B and C. The triangular citation proposed in this paper provides a new research perspective for bibliometrics, and it can be used to explore hidden literature relationships, citation mechanisms and citation motivations.

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  • Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    • Handle: RePEc:eee:infome:v:15:y:2021:i:2:s1751157721000122
    DOI: 10.1016/j.joi.2021.101141
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    as
    1. 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.
    2. Bo Jarneving, 2005. "A comparison of two bibliometric methods for mapping of the research front," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(2), pages 245-263, November.
    3. Chaomei Chen & Diana Hicks, 2004. "Tracing knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 199-211, February.
    4. Sidiropoulos, A. & Gogoglou, A. & Katsaros, D. & Manolopoulos, Y., 2016. "Gazing at the skyline for star scientists," Journal of Informetrics, Elsevier, vol. 10(3), pages 789-813.
    5. Edgar Schiebel, 2012. "Visualization of research fronts and knowledge bases by three-dimensional areal densities of bibliographically coupled publications and co-citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 557-566, May.
    6. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    7. Mohammad Hossein Biglu, 2008. "The influence of references per paper in the SCI to Impact Factors and the Matthew Effect," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 453-470, March.
    8. Jesper W. Schneider & Rodrigo Costas, 2017. "Identifying potential “breakthrough” publications using refined citation analyses: Three related explorative approaches," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 709-723, March.
    9. Robert R. Braam & Henk F. Moed & Anthony F. J. van Raan, 1991. "Mapping of science by combined co‐citation and word analysis. I. Structural aspects," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(4), pages 233-251, May.
    10. Su, Cheng & Pan, YunTao & Zhen, YanNing & Ma, Zheng & Yuan, JunPeng & Guo, Hong & Yu, ZhengLu & Ma, CaiFeng & Wu, YiShan, 2011. "PrestigeRank: A new evaluation method for papers and journals," Journal of Informetrics, Elsevier, vol. 5(1), pages 1-13.
    11. 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.
    12. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    13. 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.
    14. Fred Y. Ye & Loet Leydesdorff, 2014. "The “academic trace” of the performance matrix: A mathematical synthesis of the h-index and the integrated impact indicator (I3)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 742-750, April.
    15. Liang-Chu Chen & Yen-Hsuan Lien, 2011. "Using author co-citation analysis to examine the intellectual structure of e-learning: A MIS perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 867-886, December.
    16. Shengli Ren & Ronald Rousseau, 2002. "International visibility of Chinese scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 389-405, March.
    17. Lutz Bornmann & Werner Marx, 2014. "The wisdom of citing scientists," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(6), pages 1288-1292, June.
    18. Mu-Hsuan Huang & Chia-Pin Chang, 2014. "Detecting research fronts in OLED field using bibliographic coupling with sliding window," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1721-1744, March.
    19. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    20. 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.
    21. Gangan Prathap, 2010. "Is there a place for a mock h-index?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 153-165, July.
    22. Olle Persson, 1994. "The intellectual base and research fronts of JASIS 1986–1990," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 45(1), pages 31-38, January.
    23. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    24. Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
    25. Henry Small, 2006. "Tracking and predicting growth areas in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 595-610, September.
    26. Richard Klavans & Kevin W. Boyack, 2006. "Identifying a better measure of relatedness for mapping science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(2), pages 251-263, January.
    27. Chao Min & Ying Ding & Jiang Li & Yi Bu & Lei Pei & Jianjun Sun, 2018. "Innovation or imitation: The diffusion of citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(10), pages 1271-1282, October.
    28. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    29. Yoshiyuki Takeda & Yuya Kajikawa, 2009. "Optics: a bibliometric approach to detect emerging research domains and intellectual bases," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(3), pages 543-558, March.
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