The scaling relationship between citation-based performance and co-authorship patterns in natural sciences

Ronda-Pupo, Guillermo Armando and Katz, J. Sylvan (2016) The scaling relationship between citation-based performance and co-authorship patterns in natural sciences. Journal of the Association for Information Science and Technology, 107 (3). pp. 1423-1434. ISSN 2330-1643

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Abstract

The aim of this paper is to extend our knowledge about the power-law relationship between citation-based performance and collaboration patterns for papers in the natural sciences. We analyzed 829,924 articles that received 16,490,346 citations. The number of articles published through collaboration account for 89%. The citation-based performance and collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.20 ± 0.07. Citations to a subfield’s research articles tended to increase 2.1.20 or 2.30 times each time it doubles the number of collaborative papers. The scaling exponent for the power-law relationship for single-authored papers was 0.85 ± 0.11. The citations to a subfield’s single-authored research articles increased 2.0.85 or 1.89 times each time the research area doubles the number of non-collaborative papers. The Matthew effect is stronger for collaborated papers than for single-authored. In fact, with a scaling exponent < 1.0 the impact of single-author papers exhibits a cumulative disadvantage or inverse Matthew effect.

Item Type: Article
Schools and Departments: School of Business, Management and Economics > SPRU - Science Policy Research Unit
Depositing User: J. Sylvan Katz
Date Deposited: 06 Jul 2016 07:26
Last Modified: 24 Nov 2016 12:28
URI: http://sro.sussex.ac.uk/id/eprint/61897
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