Identifying citation growth patterns of the top scholars in Israel

Maor Weinberger, Maayan Zhitomirsky-Geffet, Dan Bouhnik

Research output: Contribution to journalArticlepeer-review

Abstract

In this study we analysed the citation trajectories of 200 tenured Israeli professors, focusing on the differences between the most impactful and the least impactful scholars from various disciplines. Seven typical citation growth patterns have been identified and quantified based on the Web of Science citation trajectories of the scholars. Major slope changes in the scholar's citation trajectories and their relative timing were utilized as indicators of a pattern. Significant differences in citation growth patterns were found between high-impact and low-impact professors. This research provides a methodological basis for predicting scholar's career evolution based on their citation growth patterns.

Original languageEnglish
Article numbere359
JournalProceedings of the Association for Information Science and Technology
Volume57
Issue number1
DOIs
StatePublished - 2020

Keywords

  • citation trajectories
  • gender
  • impact
  • scholarly performance diversity

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • Library and Information Sciences

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