A Scientometric Analysis of Research in Recommender Systems

Journal of Scientometric Research,2016,5,1,71-84.
Published:May 2016
Type:Research Article
Author(s) affiliations:

Pranav Waila1, Vivek Kumar Singh2 and Manoj Kumar Singh1

1Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi, INDIA.

2Department of Computer Science, Banaras Hindu University, Varanasi, INDIA.


This paper presents analytical outcomes of scientometric mapping of research work done on the important emerging area of ‘Recommender Systems. Research on ‘Recommender Systems’ started during last few years and within a short span of time has gained tremendous momentum. It is now considered as important emerging areas of research in computational sciences and related disciplines. We have analyzed the research output data on ‘Recommender Systems’ during 1991-2015 indexed in the Web of Knowledge. The analysis maps comprehensively the parameters of total output, growth of output, authorship and country-level collaboration patterns, major contributors (countries, institutions and individuals), top publication sources, thematic trends and emerging topics in the field. The paper presents an elaborate and first of its kind scientometric mapping of research on ‘Recommender Systems’.

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Waila P, Singh VKumar, Singh MKumar. A Scientometric Analysis of Research in Recommender Systems. Journal of Scientometric Research. 2016;5(1):71-84. doi:10.5530/jscires.5.1.10.