EconPapers    
Economics at your fingertips  
 

The scaling relationship between citation-based performance and international collaboration of Cuban articles in natural sciences

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, 2016, vol. 107, issue 3, No 26, 1423-1434

Abstract: 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 by analyzing its behavior at the level of a national science system. We analyzed 3012 Cuban articles on Natural Sciences that received 17,295 citations. The number of articles published through collaboration accounted for 94 %. The collaborative articles accounted for 96 % of overall citations. The citation-based performance and international collaboration patterns exhibit a power-law correlation with a scaling exponent of 1.22 ± 0.08. Citations to a field’s research internationally collaborative articles in Natural Sciences tended to increase 2.1.22 or 2.33 times each time it doubles the number of internationally collaborative papers. The Matthew Effect is stronger for internationally collaborative papers than for domestic collaborative articles.

Keywords: Fractal; Power-law; Scale independent; Self-similar; Science system (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1939-9 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:107:y:2016:i:3:d:10.1007_s11192-016-1939-9

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

DOI: 10.1007/s11192-016-1939-9

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:107:y:2016:i:3:d:10.1007_s11192-016-1939-9