EVALUATING RESEARCH PRODUCTIVITY OF BANGALORE UNIVERSITY: AN IRINS-BASED ANALYSIS

In the evolving landscape of higher education, research productivity has emerged as a key metric of institutional excellence.This study evaluates the research performance of Bangalore University using data from the Indian Research Information Network System (IRINS), which consolidates bibliometric information from databases such as Scopus, CrossRef, and Google Scholar.The research adopts a quantitative methodology to assess department-wise and individual faculty productivity across indicators including publication count, citation metrics, h-index, and i-10 index.The findings reveal significant disparities in output and impact among the 35 academic departments.The Department of Computer Science and Engineering leads in publication volume, while departments such as Physics and Chemistry show higher citation impact.Notably, a few faculty members, particularly Prof. Venugopal K. R., contribute disproportionately to the university's research visibility.The analysis underscores the value of structured academic profiling systems like IRINS in identifying

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Publication Details

Published
2025-03-25
DOI
https://doi.org/10.34218/jlist_07_01_005
Primary Topic
Big Data and Business Intelligence
Type
article
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article

EVALUATING RESEARCH PRODUCTIVITY OF BANGALORE UNIVERSITY: AN IRINS-BASED ANALYSIS

Indrakumar, Ravikumar Chinthaginjala, Dhanush Kumar M R
Big Data and Business Intelligence
article

EVALUATING RESEARCH PRODUCTIVITY OF BANGALORE UNIVERSITY: AN IRINS-BASED ANALYSIS

Indrakumar, Ravikumar Chinthaginjala, Dhanush Kumar M R
article en

Abstract

In the evolving landscape of higher education, research productivity has emerged as a key metric of institutional excellence.This study evaluates the research performance of Bangalore University using data from the Indian Research Information Network System (IRINS), which consolidates bibliometric information from databases such as Scopus, CrossRef, and Google Scholar.The research adopts a quantitative methodology to assess department-wise and individual faculty productivity across indicators including publication count, citation metrics, h-index, and i-10 index.The findings reveal significant disparities in output and impact among the 35 academic departments.The Department of Computer Science and Engineering leads in publication volume, while departments such as Physics and Chemistry show higher citation impact.Notably, a few faculty members, particularly Prof. Venugopal K. R., contribute disproportionately to the university's research visibility.The analysis underscores the value of structured academic profiling systems like IRINS in identifying

Vol. 7(1)
Decent work and economic growth
Openalex Percentile: Top 68%
Big Data and Business Intelligence
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EVALUATING RESEARCH PRODUCTIVITY OF BANGALORE UNIVERSITY: AN IRINS-BASED ANALYSIS — Indrakumar, Ravikumar Chinthaginjala, et al. · (2025) | TGRS Research Map | TGRS