Quantifying the evolution of individual scientific impact

被引:462
作者
Sinatra, Roberta [1 ,2 ,3 ]
Wang, Dashun [4 ,5 ]
Deville, Pierre [1 ,2 ,6 ]
Song, Chaoming [7 ]
Barabasi, Albert-Laszlo [1 ,2 ,8 ,9 ,10 ]
机构
[1] Northeastern Univ, Ctr Complex Network Res, Boston, MA 02115 USA
[2] Northeastern Univ, Dept Phys, Boston, MA 02115 USA
[3] Cent European Univ, Ctr Network Sci & Math Dept, Budapest, Hungary
[4] Northwestern Univ, Kellogg Sch Management, Evanston, IL 60208 USA
[5] Northwestern Univ, Northwestern Inst Complex Syst, Evanston, IL 60208 USA
[6] Catholic Univ Louvain, Dept Appl Math, Louvain La Neuve, Belgium
[7] Univ Miami, Dept Phys, Coral Gables, FL 33124 USA
[8] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
[9] Cent European Univ, Ctr Network Sci, Budapest, Hungary
[10] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
关键词
SCIENCE; CAREER; UNIVERSALITY; PERFORMANCE; CREATIVITY; LANDMARKS; METRICS; AUTHOR; TEAMS; MODEL;
D O I
10.1126/science.aaf5239
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. Copyright © 2016 by the American Association for the Advancement of Science.
引用
收藏
页数:8
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