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.

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This work is supported by Foundation of He’nan Educational Committee (2017-15) and Social Science Fund of He’nan (2017BZH008). The authors would like to acknowledge the helpful comments on the earlier manuscript by anonymous reviewers.
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Chunlei, Z., Xiangyi, K. & Zhipeng, L. Research on Derek John de Solla Price Medal Prediction Based on Academic Credit Analysis. Scientometrics 118, 159–175 (2019). https://doi.org/10.1007/s11192-018-2964-7
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DOI: https://doi.org/10.1007/s11192-018-2964-7