Ranking scientific articles based on bibliometric networks with a weighting scheme
作者：
Highlights：
• We design a weighting scheme that considers and integrates citation relevance and author contribution in bibliometric networks.
• We propose W-Rank algorithm based on the improved heterogeneous bibliometric networks for scientific article ranking.
• We introduce a new perspective to interpret the bibliometric networks based on the practical meaning of the links between the papers, authors and journals.
摘要
•We design a weighting scheme that considers and integrates citation relevance and author contribution in bibliometric networks.•We propose W-Rank algorithm based on the improved heterogeneous bibliometric networks for scientific article ranking.•We introduce a new perspective to interpret the bibliometric networks based on the practical meaning of the links between the papers, authors and journals.
论文关键词：Scientific article ranking,Ranking algorithm,Citation analysis,Heterogeneous network
论文评审过程：Received 20 June 2018, Revised 24 March 2019, Accepted 25 March 2019, Available online 3 April 2019, Version of Record 3 April 2019.
论文官网地址：https://doi.org/10.1016/j.joi.2019.03.013
