EconPapers    
Economics at your fingertips  
 

The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals

Guillermo Armando Ronda-Pupo () and J. Sylvan Katz ()
Additional contact information
Guillermo Armando Ronda-Pupo: Universidad Católica del Norte
J. Sylvan Katz: University of Sussex

Scientometrics, 2018, vol. 114, issue 3, No 8, 919-932

Abstract: Abstract The aim of this paper is to extend the conversation about the correlation between collaboration and citation impact in articles in Information Science & Library Science journals by analyzing this correlation’s behavior using a power scaling law approach. 28,131 articles that received 215,693 citations were analyzed. The number of these articles that were published through collaboration accounts for 69%. In general, the scaling exponent of multi-authored articles, both international and domestic, increases over time while the exponent of single-authored papers decreases. The citation impact and collaboration patterns exhibit a power law correlation with a scaling exponent of 1.34 ± 0.02. Citations to multi-authored articles increased $$2^{1.34}$$ 2 1.34 or 2.53 times each time the number of multi-authored papers doubled. The Matthew Effect is stronger for multi-authored papers than for single-authored. The scaling exponent for the power law relationship of domestic multi-authored papers was 1.35 ± 0.02. The citations to domestic multi-authored articles increased $$2^{1.35}$$ 2 1.35 or 2.55 times each time the number of domestic multi-authored articles doubled. Contrary to previous studies we found that the Matthew Effect is stronger for domestic multi-authored papers than for international multi-authored ones.

Keywords: Cooperation; Collaboration; Co-authorship; Matthew effect; Multi-authorship; Power law; Scale-independent (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2612-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2612-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-017-2612-7

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:114:y:2018:i:3:d:10.1007_s11192-017-2612-7