Scoring the resourcefulness of researchers using bibliographic coupling patterns
作者:
Highlights:
• This study proposes an algorithm that scores the resourcefulness of authors by the references they cite.
• The resulting “author follow-score” algorithmis computed based on matrices constructed from reference and authorship data.
• It computes a “citing author to referred paper” similarity in contrast to HITS which uses “citing author similarity”.
• The algorithm can be used to identify interesting works referred to by “follow-worthy” authors.
• The algorithm can also be used to find similar pairs of authors by computing their bibliographic coupling similarity.
摘要
•This study proposes an algorithm that scores the resourcefulness of authors by the references they cite.•The resulting “author follow-score” algorithmis computed based on matrices constructed from reference and authorship data.•It computes a “citing author to referred paper” similarity in contrast to HITS which uses “citing author similarity”.•The algorithm can be used to identify interesting works referred to by “follow-worthy” authors.•The algorithm can also be used to find similar pairs of authors by computing their bibliographic coupling similarity.
论文关键词:Citation analysis,Ranking,Networks,Bibliometrics,Algorithm,Author follow-score
论文评审过程:Received 29 July 2020, Revised 8 April 2021, Accepted 21 April 2021, Available online 20 May 2021, Version of Record 20 May 2021.
论文官网地址:https://doi.org/10.1016/j.joi.2021.101168