EconPapers    
Economics at your fingertips  
 

Traditional indicators inflate some countries’ scientific impact over 10 times

Sandro Tarkhan-Mouravi ()
Additional contact information
Sandro Tarkhan-Mouravi: The University of Georgia

Scientometrics, 2020, vol. 123, issue 1, No 16, 337-356

Abstract: Abstract At the center of this research lies the issue of properly counting international collaborations when assessing countries’ scientific productivity. Much of country-level scientometric research still uses the traditional “total counting” approach, wherein a country receives full credit for its international collaborations, as if it had produced every publication alone. For over a decade, various researchers have been showing how total counting distorts country outputs. However, the alternative, fractional counting methods, designed to eliminate the problem still have not prevailed. Hence more discussion and quantitative evidence is needed. In this article I study 40 average-productivity countries and find that total counting can result in even bigger distortion than the previous studies have shown. Namely, I show that total counting inflates some countries’ scientific impact as much as 12–13 times, rather than about 2 times, as observed with higher productivity countries. I also show that the degree of overcounting varies sharply across countries, often even resulting in a more productive country appearing behind a less productive one or vice versa. Based on the accumulated evidence, I suggest that total counting should be replaced with fractional counting more decisively, in most if not all of the research concerned with scientific productivity of countries.

Keywords: Country productivity; International collaborations; Total counting; Fractional counting; Document counts; Citation counts (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03372-1 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:123:y:2020:i:1:d:10.1007_s11192-020-03372-1

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

DOI: 10.1007/s11192-020-03372-1

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:123:y:2020:i:1:d:10.1007_s11192-020-03372-1