Identifying prize-winning scientists by a competition-aware ranking

Yuhao Zhou, Ruijie Wang, An Zeng and Yi-Cheng Zhang

Journal of Informetrics, 2020, vol. 14, issue 3

Abstract: Evaluating scholars’ achievements is an important problem in the science of science with applications in the evaluation of grant proposals and promotion applications. Since the number of scholars and the number of scholarly outputs grow exponentially with time, well-designed ranking metrics that have the potential to assist in these tasks are of prime importance. To rank scholars, it is important to put their achievements in perspective by comparing them with the achievements of other scholars active in the same period. We propose here a particular way of doing so: by computing the evaluated scholar's share on each year's citations which quantifies how the scholar fares in competition with the others. We assess the resulting ranking method using the American Physical Society citation data and four prestigious physics awards. Our results show that the new method significantly outperforms other ranking methods in identifying the prize laureates.

Keywords: Scholar evaluation; Time bias; Nobel Prize (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:14:y:2020:i:3:s1751157719304766

DOI: 10.1016/j.joi.2020.101038

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