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

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 . Our computational analysis involves a two-dimensional approach involving the standard scientometric methodology and textbased 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.Electronic supplementary material The online version of this article (

The information technology knowledge infrastructure and research in South Asia

“…When we compared the average ACPP values for few developed countries with few countries in South Asian region, we observed that ACPP for the Indian and world top institutions are 4.39 and 8.56, respectively. A similar result is shown in a recent work (Singh et al, 2015) [2] , which states that cited versus un-cited percentages for India and world top institutions in CS domain research are 44% and 59%, respectively.…”

Research Output of Indian Institutions during 2011–2016:Quality and Quantity Perspective

“…The period of study was chosen to reflect the performance of Indian institutions in the most recent past, and a significant number of scientometric reports are available for different subject areas for other periods [9][10][11][12][13] . The output in the top 10 percentile was obtained for 15 different fields ( Table 1).…”

SAP Algorithm for Citation Analysis: An improvement to Tree of Science

“…Moreover, it focuses on the measurement of the impact of articles, journals, and institutions, along with the mapping of scientific areas (Leydesdorff, 2013). Examples include citation analysis (Koseoglu, Sehitoglu, and Craft, 2015), co-author analysis (Ioannidis, 2015), and the impact of institutions (Singh, Uddin, and Pinto, 2015). Thus, the importance of scientometrics is based on the possibility of identifying high impact articles and main researchers, and on recognizing emerging areas of knowledge (Hood and Wilson, 2001).…”