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P-score: a reputation bibliographic index that complements citation counts

Author

Listed:
  • João Mateus Freitas Veneroso

    (Universidade Federal de Minas Gerais)

  • Marlon Dias

    (Universidade Federal de Minas Gerais)

  • Alberto Ueda

    (Universidade Federal de Minas Gerais)

  • Sabir Ribas

    (Universidade Federal de Minas Gerais)

  • Berthier Ribeiro-Neto

    (Universidade Federal de Minas Gerais)

  • Nivio Ziviani

    (Universidade Federal de Minas Gerais)

  • Edmundo Souza e Silva

    (Universidade Federal do Rio de Janeiro)

Abstract

The notions of reputation and popularity in academia are critical for taking decisions on research grants, faculty position tenure, and research excellence awards. These notions are almost always associated with the publication track records of researchers. Thus, it is important to assess publication track records quantitatively. To quantify publication records, bibliographic indices are usually adopted and, among these, citation-based indices such as the H-index are frequently considered. In this paper we study the correlation between P-score, a publication record index and H-index, a very popular citation-based index, in the setting of conference ranking. While H-indices reflect the popularity of a given publication or researcher in academia, P-scores can reflect the reputation of a publication or researcher among its peers, considering a reference set of reputable researchers. Popularity and reputation are frequently considered to be equivalent properties in the formulation of citation based indices, however these properties are not identical. Indeed, we first show that H-indices and P-scores are correlated with a Kendall-Tau coefficient that exceeds 0.5. However, we also notice that they show important differences. Particularly, we identify publication venues with high H-indices and low P-scores, as well as venues with low H-indices and high P-scores. We provide interpretations for these findings and discuss how they can be used by research funding councils and committees to better support their funding decisions.

Suggested Citation

  • João Mateus Freitas Veneroso & Marlon Dias & Alberto Ueda & Sabir Ribas & Berthier Ribeiro-Neto & Nivio Ziviani & Edmundo Souza e Silva, 2019. "P-score: a reputation bibliographic index that complements citation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1269-1291, December.
  • Handle: RePEc:spr:scient:v:121:y:2019:i:3:d:10.1007_s11192-019-03247-0
    DOI: 10.1007/s11192-019-03247-0
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    References listed on IDEAS

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    1. Erjia Yan & Ying Ding & Cassidy R. Sugimoto, 2011. "P-Rank: An indicator measuring prestige in heterogeneous scholarly networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(3), pages 467-477, March.
    2. Alexandru T. Balaban, 2012. "Positive and negative aspects of citation indices and journal impact factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(2), pages 241-247, August.
    3. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    4. L. Egghe, 2008. "The influence of transformations on the h‐index and the g‐index," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1304-1312, June.
    5. Pentti Riikonen & Mauno Vihinen, 2008. "National research contributions: A case study on Finnish biomedical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 207-222, November.
    6. Heather Piwowar, 2013. "Value all research products," Nature, Nature, vol. 493(7431), pages 159-159, January.
    7. Loet Leydesdorff, 2009. "How are new citation‐based journal indicators adding to the bibliometric toolbox?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1327-1336, July.
    8. Fabrício Benevenuto & Alberto H. F. Laender & Bruno L. Alves, 2016. "The H-index paradox: your coauthors have a higher H-index than you do," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 469-474, January.
    9. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    10. Michael C. Wendl, 2007. "H-index: however ranked, citations need context," Nature, Nature, vol. 449(7161), pages 403-403, September.
    11. Lutz Bornmann & Hans-Dieter Daniel, 2005. "Does the h-index for ranking of scientists really work?," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 391-392, December.
    12. Danielle H. Lee, 2019. "Predictive power of conference-related factors on citation rates of conference papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 281-304, January.
    13. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    14. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    15. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
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