Equivalent Gini coefficient, not shape parameter!

Lucio Bertoli-Barsotti ()
Additional contact information
Lucio Bertoli-Barsotti: University of Bergamo

Scientometrics, 2023, vol. 128, issue 1, No 38, 867-870

Abstract: Abstract In a recent contribution in this journal, Gagolewski et al. (Scientometrics 127(5):2829–2845, 2022) study a new model—the so-called 3 dimensions of scientific impact (3DSI) model—for representing a rank size distribution. The model depends on three parameters/dimensions: the total number of papers, the total number of citations and a third parameter, $$\rho$$ ρ , recognized by the authors as a shape parameter. We prove that $$\rho$$ ρ is an equivalent Gini coefficient.

Keywords: 3DSI model; Gini coefficient; Inequality; Rank-size distribution; Citation analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04571-8 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:128:y:2023:i:1:d:10.1007_s11192-022-04571-8

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

DOI: 10.1007/s11192-022-04571-8

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 ().