TimeRank: A dynamic approach to rate scholars using citations
作者：
Highlights：
• We introduce TimeRank: a dynamic rating method which accounts for popularity, prestige and timing using citations among authors.
• TimeRank gives a premium to authors that are cited by higher-rated authors against the odds, at the time of the citation.
• TimeRank is useful when for capturing relevant information regarding the timing of an author's recognition is relevant, such as to detect rising stars.
• The method is shown to be sensible to time and consistent under an appropriate choice of parameters.
• We apply the method to the bibliometrics community, and show it performs differently and as intended with respect to alternatives as the total number of received citations, PageRank and the h-index.
摘要
•We introduce TimeRank: a dynamic rating method which accounts for popularity, prestige and timing using citations among authors.•TimeRank gives a premium to authors that are cited by higher-rated authors against the odds, at the time of the citation.•TimeRank is useful when for capturing relevant information regarding the timing of an author's recognition is relevant, such as to detect rising stars.•The method is shown to be sensible to time and consistent under an appropriate choice of parameters.•We apply the method to the bibliometrics community, and show it performs differently and as intended with respect to alternatives as the total number of received citations, PageRank and the h-index.
论文关键词：Dynamic networks,Citation timing,Ranking of scholars,Bibliometric indicators,Elo system
论文评审过程：Received 21 March 2017, Revised 11 September 2017, Accepted 11 September 2017, Available online 14 October 2017, Version of Record 14 October 2017.
论文官网地址：https://doi.org/10.1016/j.joi.2017.09.003
