Field-normalized citation impact indicators using algorithmically constructed classification systems of science
作者：
Highlights：
• We study algorithmically constructed classification systems for field normalization purposes.
• It is argued that working with a few thousand fields may be an optimal choice.
• University citation indicators are relatively insensitive to the classification system choice.
• For individual universities, this choice may have a substantial effect.
摘要
•We study algorithmically constructed classification systems for field normalization purposes.•It is argued that working with a few thousand fields may be an optimal choice.•University citation indicators are relatively insensitive to the classification system choice.•For individual universities, this choice may have a substantial effect.
论文关键词：Field normalization,Classification systems,Clustering methodology,Citation impact indicators,University rankings
论文评审过程：Received 17 July 2014, Revised 10 October 2014, Accepted 27 November 2014, Available online 18 December 2014.
论文官网地址：https://doi.org/10.1016/j.joi.2014.11.010
