How are collaboration and productivity correlated at various career stages of scientists?

Zhigang Hu, Chaomei Chen, Zeyuan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collaboration is believed to be influential on researchers' productivity. However, the impact of collaboration relies on latent factors such as disciplines, collaboration patterns, and collaborators' characters. Moreover, at different career stages, such as the novice stage, the experienced stage, etc., collaboration is different in scale and breadth, and its effect on productivity varies. In this paper, we study collaborative relationships in four disciplines, Organic Chemistry, Virology, Mathematics and Computer Science. We find that the productivity is correlated with collaboration in general, but the correlation could be positive or negative on the basis of which aspect of collaboration to measure, the collaboration scale or scope. The correlation becomes stronger as individual scientists progress through various stages of their career. Furthermore, experimental disciplines, such as Organic Chemistry and Virology, have shown stronger correlation coefficients than theoretical ones such as Mathematics and Computer Science.

Original languageEnglish
Title of host publicationProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
PublisherInternational Society for Scientometrics and Informetrics
Pages847-860
Number of pages14
ISBN (Print)9783200031357
Publication statusPublished - 2013
Event14th International Society of Scientometrics and Informetrics Conference, ISSI 2013 - Vienna, Austria
Duration: 2013 Jul 152013 Jul 20

Publication series

NameProceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference
Volume1

Other

Other14th International Society of Scientometrics and Informetrics Conference, ISSI 2013
Country/TerritoryAustria
CityVienna
Period13/7/1513/7/20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Management Science and Operations Research
  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability

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