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Reciprocity and impact in academic careers

  • Weihua Li
  • , Tomaso Aste
  • , Fabio Caccioli
  • , Giacomo Livan*
  • *此作品的通讯作者
  • University College London
  • The London School of Economics and Political Science
  • London Mathematical Laboratory

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The growing importance of citation-based bibliometric indicators in shaping the prospects of academic careers incentivizes scientists to boost the numbers of citations they receive. Whereas the exploitation of self-citations has been extensively documented, the impact of reciprocated citations has not yet been studied. We study reciprocity in a citation network of authors, and compare it with the average reciprocity computed in an ensemble of null network models. We show that obtaining citations through reciprocity correlates negatively with an impactful career in the long term. Nevertheless, at the aggregate level we show evidence of a steady increase in reciprocity over the years, largely fuelled by the citations reciprocated between coauthors. Our results characterize the structure of author networks in a time of increasing emphasis on citation-based indicators, and we discuss their implications towards a fairer assessment of academic impact.

源语言英语
期刊论文编号20
期刊EPJ Data Science
卷8
期1
DOI
出版状态已出版 - 1 12月 2019
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