EconPapers    
Economics at your fingertips  
 

Bibliometric indicators of interdisciplinarity: the potential of the Leinster–Cobbold diversity indices to study disciplinary diversity

Alexis-Michel Mugabushaka (), Anthi Kyriakou and Theo Papazoglou
Additional contact information
Alexis-Michel Mugabushaka: European Research Council Executive Agency
Anthi Kyriakou: European Research Council Executive Agency
Theo Papazoglou: European Research Council Executive Agency

Scientometrics, 2016, vol. 107, issue 2, No 15, 593-607

Abstract: Abstract In bibliometrics, interdisciplinarity is often measured in terms of the “diversity” of research areas in the references that an article cites. The standard indicators used are borrowed mostly from other research areas, notably from ecology (biodiversity measures) and economics (concentration measures). This paper argues that while the measures used in biodiversity research have evolved over time, the interdisciplinarity indicators used in bibliometrics can be mapped to a subset of biodiversity measures from the first and second generations. We discuss the third generation of biodiversity measures and especially the Leinster–Cobbold diversity indices (LCDiv) (Leinster and Cobbold in Ecology 93(3):477–489, 2012). We present a case study based on a previously published dataset of interdisciplinarity study in the field of bio-nano science (Rafols and Meyer in Scientometrics 82(2):263–287, 2010). We replicate the findings of this study to show that the various interdisciplinarity measures are in fact special cases of the LCDiv. The paper discusses some interesting properties of the LCDiv which make them more appealing in the study of disciplinary diversity than the standard interdisciplinary diversity indicators.

Keywords: Interdisciplinarity; Disciplinary diversity; Leinster–Cobbold Indices; Hill numbers; Indicators of biodiversity (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-016-1865-x 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:2:d:10.1007_s11192-016-1865-x

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

DOI: 10.1007/s11192-016-1865-x

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:2:d:10.1007_s11192-016-1865-x