Citation performance of thirty keywords in economics

Tolga Yuret*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Keywords of a publication may be indicative of its subfield. In this paper, we analyse citation performance of thirty keywords to understand differences in intra-field citation performance in economics. First, citation performance of publications that contain a certain keyword is computed. Then, adjustments are made for the publication year and the publishing journal. Keywords such as ‘growth’, ‘inference’ and ‘institutions’ have above average citation performance in all adjustments. Lastly, the trend in the frequency of publications that contain a certain keyword is explored.

Original languageEnglish
Pages (from-to)1167-1170
Number of pages4
JournalApplied Economics Letters
Volume26
Issue number14
DOIs
Publication statusPublished - 16 Aug 2019

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • abstract
  • bibliometrics
  • Citation analysis
  • keyword title

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