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Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis

Author

Listed:
  • Zhou Chunlei

    (Zhengzhou University)

  • Kong Xiangyi

    (Zhengzhou University)

  • Lin Zhipeng

    (Zhengzhou University)

Abstract

To find a more effective method for evaluating the achievements of individual scholars, this study proposes a Dh-index analysis method from experts’ perspective under the guidance of concept of Academic Credit Evaluation. This method inherits the advantages of traditional h-index and analyses the information valued by experts for the purpose of finding high impact scholars with a lower cost. Using Dh-index analysis method to calculate Dh-index and Dg-index, the study identified a list about scholars’ academic status under the perspective of experts. Indices used in the method were listed in descending order by researching citations between 2000 and 2016 in Scientometrics and Journal of Informetrics during the process. In order to support the conclusions obtained from this method and test the feasibility and effectiveness of this method, we use Derek John de Solla Price Medal (DJSP Medal) as an example. The method simulates the selection process of DJSP Medal and the result is highly in accordance with the actual DJSP Medal winners, which proves that the method mentioned in this article is valid and might be used to predict potential winners. Citation behaviours can reflect some endogenous customs in academic communication, and can be used as effective signals to evaluate the status of scholars in their field. Hence, based on domain experts’ citation behaviours, Dh-index analysis method can effectively combine qualitative and quantitative evaluation techniques. With less manpower, lower cost, simpler manipulation, more robustness and other advantages, the method can not only acquire valuable reference information, but also predict potential winners of DJSP Medal and other academic awards.

Suggested Citation

  • Zhou Chunlei & Kong Xiangyi & Lin Zhipeng, 2019. "Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 159-175, January.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:1:d:10.1007_s11192-018-2964-7
    DOI: 10.1007/s11192-018-2964-7
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    References listed on IDEAS

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    1. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    2. Richard S. J. Tol, 2009. "The h-index and its alternatives: An application to the 100 most prolific economists," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 317-324, August.
    3. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    4. Roberto Todeschini, 2011. "The j-index: a new bibliometric index and multivariate comparisons between other common indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 621-639, June.
    5. Xiaojun Wan & Fang Liu, 2014. "WL-index: Leveraging citation mention number to quantify an individual's scientific impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2509-2517, December.
    6. Yves Gingras & Matthew L. Wallace, 2010. "Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of nominees and winners of the chemistry and physics prizes (1901–2007)," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 401-412, February.
    7. Blaise Cronin & Debora Shaw, 2002. "Identity-creators and image-makers: Using citation analysis and thick description to put authors in their place," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 31-49, April.
    8. Thomas R. Anderson & Robin K. S. Hankin & Peter D. Killworth, 2008. "Beyond the Durfee square: Enhancing the h-index to score total publication output," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 577-588, September.
    9. 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.
    10. Qiang Wu, 2010. "The w-index: A measure to assess scientific impact by focusing on widely cited papers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(3), pages 609-614, March.
    11. Anand Bihari & Sudhakar Tripathi, 2017. "EM-index: a new measure to evaluate the scientific impact of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 659-677, July.
    12. João Carlos Nabout & Fabrício Barreto Teresa & Karine Borges Machado & Vitor Hugo Mendonça Prado & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2018. "Do traditional scientometric indicators predict social media activity on scientific knowledge? An analysis of the ecological literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1007-1015, May.
    13. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    14. Qiang Wu, 2010. "The w‐index: A measure to assess scientific impact by focusing on widely cited papers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(3), pages 609-614, March.
    15. Lutz Bornmann & Robin Haunschild, 2018. "Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-12, May.
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    Cited by:

    1. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.

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