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Assessing author self-citation as a mechanism of relevant knowledge diffusion

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  • Ramiro H. Gálvez

    (Universidad de Buenos Aires)

Abstract

Author self-citation is a practice that has been historically surrounded by controversy. Although the prevalence of self-citations in different scientific fields has been thoroughly analysed, there is a lack of large scale quantitative research focusing on its usefulness at guiding readers in finding new relevant scientific knowledge. In this work we empirically address this issue. Using as our main corpus the entire set of PLOS journals research articles, we train a topic discovery model able to capture semantic dissimilarity between pairs of articles. By dividing pairs of articles involved in intra-PLOS citations into self-citations (articles linked by a cite which share at least one author) and non-self-citations (articles linked by a cite which share no author), we observe the distribution of semantic dissimilarity between citing and cited papers in both groups. We find that the typical semantic distance between articles involved in self-citations is significantly smaller than the observed one for articles involved in non-self-citations. Additionally, we find that our results are not driven by the fact that authors tend to specialize in particular areas of research, make use of specific research methodologies or simply have particular styles of writing. Overall, assuming shared content as an indicator of relevance and pertinence of citations, our results indicate that self-citations are, in general, useful as a mechanism of knowledge diffusion.

Suggested Citation

  • Ramiro H. Gálvez, 2017. "Assessing author self-citation as a mechanism of relevant knowledge diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1801-1812, June.
  • Handle: RePEc:spr:scient:v:111:y:2017:i:3:d:10.1007_s11192-017-2330-1
    DOI: 10.1007/s11192-017-2330-1
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    References listed on IDEAS

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    1. Philip Ball, 2005. "Index aims for fair ranking of scientists," Nature, Nature, vol. 436(7053), pages 900-900, August.
    2. Guang Yu & Ming-Yang Wang & Da-Ren Yu, 2010. "Characterizing knowledge diffusion of Nanoscience & Nanotechnology by citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 81-97, July.
    3. Christoph Bartneck & Servaas Kokkelmans, 2011. "Detecting h-index manipulation through self-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 85-98, April.
    4. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    5. Wolfgang Glänzel & Bart Thijs, 2004. "The influence of author self-citations on bibliometric macro indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 281-310, March.
    6. Michael H. MacRoberts & Barbara R. MacRoberts, 1989. "Problems of citation analysis: A critical review," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(5), pages 342-349, September.
    7. Maliniak, Daniel & Powers, Ryan & Walter, Barbara F., 2013. "The Gender Citation Gap in International Relations," International Organization, Cambridge University Press, vol. 67(4), pages 889-922, October.
    8. Victoria Anauati & Sebastian Galiani & Ramiro H. Gálvez, 2016. "Quantifying The Life Cycle Of Scholarly Articles Across Fields Of Economic Research," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1339-1355, April.
    9. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.
    10. Dag W. Aksnes, 2003. "A macro study of self-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(2), pages 235-246, February.
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    4. Silvio Peroni & Paolo Ciancarini & Aldo Gangemi & Andrea Giovanni Nuzzolese & Francesco Poggi & Valentina Presutti, 2020. "The practice of self-citations: a longitudinal study," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 253-282, April.

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