Sinatra, Robert
[Center for Complex Network Research and Physics Department, Northeastern University, Boston]
Wang, Dashun
[Kellogg School of Management, Northwestern University, Evanston]
Deville, Pierre
[UCL]
Song, Chaoming
[Department of Physics, University of Miami, Coral Gables]
Barabasi, Albert-László
[Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston]
Despite the frequent use of numerous quantitative indicators to gauge the professional impact of a scientist, little is known about how scientific impact emerges and evolves in time. Here, we quantify the changes in impact and productivity throughout a career in science, finding that impact, as measured by influential publications, is distributed randomly within a scientist's sequence of publications. This random-impact rule allows us to formulate a stochastic model that uncouples the effects of productivity, individual ability, and luck and unveils the existence of universal patterns governing the emergence of scientific success.The model assigns a unique individual parameter Q to each scientist, which is stable during a career, and it accurately predicts the evolution of a scientist's impact, from the h-index to cumulative citations, and independent recognitions, such as prizes.
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Bibliographic reference |
Sinatra, Robert ; Wang, Dashun ; Deville, Pierre ; Song, Chaoming ; Barabasi, Albert-László . Quantifying the evolution of individual scientific impact. In: Science, Vol. 354, no.6312, p. aaf5239-aaf5239 (2016) |
Permanent URL |
http://hdl.handle.net/2078.1/196591 |