Journal article
How are collaboration and productivity correlated at various career stages of scientists?
Scientometrics, v 101(2), pp 1553-1564
01 Nov 2014
Abstract
Collaboration is believed to be influential on researchers' productivity. However, the impact of collaboration relies on factors such as disciplines, collaboration patterns, and collaborators' characters. In addition, at different career stages, such as the growth or the establishment career stages of scientists, collaboration is different in scale and scope, and its effect on productivity varies. In this paper, we study the relationships between collaboration and productivity in four disciplines, Organic Chemistry, Virology, Mathematics and Computer Science. Our studyfound 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, i.e., the scale or scope of the collaboration. 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.
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Details
- Title
- How are collaboration and productivity correlated at various career stages of scientists?
- Creators
- Zhigang Hu - Dalian University of TechnologyChaomei Chen - Dalian University of TechnologyZeyuan Liu - Dalian University of Technology
- Publication Details
- Scientometrics, v 101(2), pp 1553-1564
- Publisher
- Springer Nature
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000343609900039
- Scopus ID
- 2-s2.0-84939895136
- Other Identifier
- 991019168307104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science