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Scientometrics

, Volume 100, Issue 3, pp 755–765 | Cite as

Breakthrough paper indicator 2.0: can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?

  • Ilya V. PonomarevEmail author
  • Brian K. Lawton
  • Duane E. Williams
  • Joshua D. Schnell
Article

Abstract

We report progress on new developments in the breakthrough paper indicator, which allows early selection of a small group of publications which may become potential breakthrough candidates based on dynamics of publication citations and certain qualitative characteristics of citations. We used a quantitative approach to identify typical citation patterns of highly cited papers. Based on these analyses, we propose two forecasting models to select groups of breakthrough paper candidates that exceed high citation thresholds five years post-publication. Here we study whether interdisciplinarity in the subject categories or geographical diversity serve as possible measures to improve ranking of breakthrough paper candidates. We found that ranked geographical diversities of known breakthrough papers have equal or better ranks than corresponding citations ranks. This allows us to apply additional filtering for better identifications of breakthrough candidates. We studied several interdisciplinarity indices, including richness, Shannon index, Simpson index, and Rao-Stirling-Porter index. We did not find any correlations between citation ranks and ranked interdisciplinarity indices.

Keywords

Bibliometrics Scientometrics Highly cited papers Breakthrough paper indicator Citation trajectories Interdisciplinarity measures Rao-Stirling-Porter index Geographical diversity Research management Science policy 

Notes

Acknowledgments

We are very thankful to Y. Seger for editorial assistance.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2014

Authors and Affiliations

  • Ilya V. Ponomarev
    • 1
    Email author
  • Brian K. Lawton
    • 2
  • Duane E. Williams
    • 1
  • Joshua D. Schnell
    • 1
  1. 1.Thomson ReutersRockvilleUSA
  2. 2.Redtail Creek SoftwareRockvilleUSA

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