An empirical approach based on quantile regression for estimating citation ageing
作者：
Highlights：
• The study of citation ageing has been approached mainly by the formulation and fit of mathematical models.
• Model-free strategies have not been consistent in taking into account factors that are known to influence citation ageing.
• We propose a model-free approach for estimating citation ageing functions.
• The methodology allows taking into account field of research, impact level, citation inflation and skewness of cites effects.
• We collected a large dataset spanning 12 dissimilar fields of research andtested the proposed strategy.
摘要
•The study of citation ageing has been approached mainly by the formulation and fit of mathematical models.•Model-free strategies have not been consistent in taking into account factors that are known to influence citation ageing.•We propose a model-free approach for estimating citation ageing functions.•The methodology allows taking into account field of research, impact level, citation inflation and skewness of cites effects.•We collected a large dataset spanning 12 dissimilar fields of research andtested the proposed strategy.
论文关键词：Citation analysis,Citation ageing functions,Quantile regression,Life cycle of citations
论文评审过程：Received 24 August 2018, Revised 23 March 2019, Accepted 25 March 2019, Available online 16 April 2019, Version of Record 16 April 2019.
论文官网地址：https://doi.org/10.1016/j.joi.2019.03.014
