Screening the most highly cited papers in longitudinal bibliometric studies and systematic literature reviews of a research field or journal: Widespread used metrics vs a percentile citation-based approach

作者：

Highlights：

• There is a period representativeness bias in sample selection in most longitudinal bibliometric studies.

• We compare samples of the 100 most impactful papers obtained with different selection options.

• The percentile approach is best suited to provide appropriate weights for the citations regardless of the period.

• The method can be applied to improve the performance of the metrics in selecting a sample of the highly impactful papers.

摘要

•There is a period representativeness bias in sample selection in most longitudinal bibliometric studies.•We compare samples of the 100 most impactful papers obtained with different selection options.•The percentile approach is best suited to provide appropriate weights for the citations regardless of the period.•The method can be applied to improve the performance of the metrics in selecting a sample of the highly impactful papers.

论文关键词：Citation analysis,Percentile method,Most highly cited papers,Bibliometric/longitudinal studies,Research impact,Sample selection bias

论文评审过程：Received 16 May 2020, Revised 10 March 2021, Accepted 29 March 2021, Available online 12 April 2021, Version of Record 12 April 2021.

论文官网地址：https://doi.org/10.1016/j.joi.2021.101161