Computer science research: the top 100 institutions in India and in the world

Vivek Kumar Singh (), Ashraf Uddin () and David Pinto ()
Additional contact information
Vivek Kumar Singh: South Asian University
Ashraf Uddin: South Asian University
David Pinto: Benemérita Universidad Autonóma de Puebla

Scientometrics, 2015, vol. 104, issue 2, No 8, 529-553

Abstract: Abstract This paper aims to perform a detailed scientometric and text-based analysis of Computer Science (CS) research output of the 100 most productive institutions in India and in the world. The analytical characterization is based on research output data indexed in Scopus during the last 25 years period (1989–2013). Our computational analysis involves a two-dimensional approach involving the standard scientometric methodology and text-based analysis. The scientometric characterization aims to assess CS domain research output in leading Indian institutions vis-à-vis the leading world institutions and to bring out the similarities and differences among them. It involves analysis along traditional scientometric indicators such as total output, citation-based impact assessment, co-authorship patterns, international collaboration levels etc. The text-based characterization aims to identify the key research themes and their temporal trends for the two sets. The key contribution of the experimental work is that it’s an analytical characterization of its kind, which identifies characteristic similarities and differences in CS research landscape of Indian institutions vis-à-vis world institutions.

Keywords: Computer Science research; India; Information Technology; Informetrics; Scientometrics; I23 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1612-8 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:104:y:2015:i:2:d:10.1007_s11192-015-1612-8

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

DOI: 10.1007/s11192-015-1612-8

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 ().