Predicting highly cited papers: A Method for Early Detection of Candidate Breakthroughs

Ilya V. Ponomarev, Duane E. Williams, Charles J. Hackett, Joshua D. Schnell and Laurel L. Haak

Technological Forecasting and Social Change, 2014, vol. 81, issue C, 49-55

Abstract: Scientific breakthroughs are rare events, and usually recognized retrospectively. We developed methods for early detection of candidate breakthroughs, based on dynamics of publication citations and used a quantitative approach to identify typical citation patterns of known breakthrough papers and a larger group of highly cited papers. Based on these analyses, we proposed two forecasting models that were validated using statistical methods to derive confidence levels. These findings can be used to inform research portfolio management practices.

Keywords: Bibliometrics; Scientometrics; Highly cited papers; Breakthrough paper indicator; Research management; Technological forecasting; Science policy (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:81:y:2014:i:c:p:49-55

DOI: 10.1016/j.techfore.2012.09.017

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