Volume 7 Number 2 July 2026


Altmetric and Bibliometric Analysis of Chemical Science Research at Kuvempu University (1992-2023): Insights from Dimensions.ai

K. T. Santhosh Kumar, Geetha M, Kavya K. M

https://doi.org/10.6025/jstm/2026/7/2/51-71

Abstract This study presents a comprehensive bibliometric and altmetric analysis of Chemical Science research produced at Kuvempu University between 1992 and 2023, utilizing the Dimensions.ai database. It aims to evaluate publication productivity, citation impact, and the digital footprint of scholarly outputs beyond traditional metrics. A total of 1,180 publications were retrieved and analyzed for citation patterns, coauthorship networks, and Altmetric Attention Scores (AAS). Descriptive statistics,... Read More

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Beyond Citations: A Multidimensional Assessment of Research Impact and Open Access Advantage at CSIR-CFTRI (2012-2025) Using PlumX Metrics

Pravi Raj K, Sanjai Lal K P, Padmavathi T

https://doi.org/10.6025/jstm/2026/7/2/72-87

Abstract This study evaluates the multidimensional research impact of the CSIR-Central Food Technological Research Institute (CSIR-CFTRI) from 2012 to 2025 using the PlumX Metrics framework, addressing the limitations of traditional citation based assessments. A corpus of 2,387 publications was retrieved from the Scopus database and analyzed across five PlumX dimensions: Citations, Usage, Captures, Mentions, and Social Media. Descriptive statistics, Spearman's correlation analysis, and comparative assessments... Read More

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Prestige, Impact, and Stability: A Longitudinal Analysis of Global University Rankings Using ARWU Data (2021-2025)

R. Sebastiyan, Pit Pichappan

https://doi.org/10.6025/jstm/2026/7/2/88-108

Abstract This longitudinal study examines the dynamics of global university rankings using data from the Academic Ranking of World Universities (ARWU) for the top 25 institutions from 2021 to 2025. Employing a multifaceted quantitative approach including descriptive statistics, rank volatility analysis, correlation and multiple regression modeling, Principal Component Analysis (PCA), K-means clustering, and trajectory tracking this research investigates temporal changes in ranking indicators, institutional stability,... Read More

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