articleResearch PolicyJul 20, 2017BRONZE OA

Bias against novelty in science: A cautionary tale for users of bibliometric indicators

JWJian WangRVReinhilde VeugelersPEPaula E. Stephan

KU Leuven · Harvard University · +4 more institutions

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

511
total citations
FWCI
31.09
Percentile
100%
References
67
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Novelty
  • Data science
  • Computer science
  • Psychology
  • Econometrics
  • Information retrieval
  • Economics
  • Social psychology
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Funding