Identifying themes and trends in CS research output from India

Author

Banshal, Sumit Kumar ; Uddin, Ashraf ; Singh, Vivek Kumar

Author_Institution

Dept. of Comput. Sci., South Asian Univ., Delhi, India

fYear

2015

fDate

3-4 March 2015

Firstpage

1

Lastpage

6

Abstract

This paper presents a scientometric and text-based analysis of Computer Science (CS) research output from 100 most productive institutions from India. The CS research output during the last 25 years (1989-2013), in journals and conferences indexed in Scopus, is analyzed to identify the major research themes and their trends. The computational analysis involves text analysis algorithms based on identifying patterns, burst detection and frequency based techniques. The results obtained map the major research themes pursued by Indian institutions and also their temporal trends. A comparative analysis with 100 most productive institutions in CS research in world is also performed to make the results more meaningful and relevant. The paper presents novel and useful results for a wide audience ranging from research policy makers to students in the discipline.

Keywords

text analysis; CS research output; burst detection; computational analysis; computer science research output; frequency based techniques; text analysis algorithms; text-based analysis; Algorithm design and analysis; Bibliometrics; Computer science; Data mining; Market research; Neural networks; Tag clouds; Computer Science Research; India; Informetrics; Scientometrics;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Computing and Information Processing (CCIP), 2015 International Conference on

Conference_Location

Noida

Type

conf

DOI

10.1109/CCIP.2015.7100742

Filename

7100742