http://nopr.niscpr.res.in/handle/123456789/66384 Sat, 10 Oct 2026 01:32:12 GMT 2026-10-10T01:32:12Z https://http://nopr.niscpr.res.in:443/retrieve/197195/ALIS Vol.72(3) Cover Page.jpg http://nopr.niscpr.res.in/handle/123456789/66384 http://nopr.niscpr.res.in/handle/123456789/66394 Title: An Analysis of Research Publications on Reading Habits in the Digital Environment (RHDE): A Bibliometric Approach Authors: Kumar Mog, Rajesh; Anjali Gayan, Mithu Abstract: The purpose of the study is to perform a bibliometric analysis of the literature related to reading habits in the context of the digital environment. For the study, researchers extracted the bibliographic details of 474 records indexed in Scopus and WoS databases, which were further used by Biblioshiny and VOS viewer software to carry out thematic analysis and visualisation, respectively. The study found that research publications on reading habits in the digital environment (RHDE) have consistently increased since 2007. “Digital reading” was the most popular topic from 1998 to 2023, with China leading in publications, followed by the USA. Further, Chen C.M. was the most productive author, Zhejiang University (China) was the most significant institution in RHDE research, whereas Lecture Notes on Computer Science was the most productive source and out of eight themes that evolved from the strategic diagram, themes like digital reading, reading, and mobile reading need to be explored more in the future. The findings of the study provide important insights into the most influential authors, institutions, and countries involved in this field. It also suggests potential directions for future research, making it a valuable resource for researchers and organisations interested in this area. Page(s): 227-238 Mon, 01 Sep 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/66394 2025-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/66393 Title: Scientific Connectivity in Space Sustainability Research: A Network-Based Study Authors: S, Dr. Aswathy; PS, Sandhya; PR, Ajayalal Abstract: Space sustainability emphasizes the long-term, secure, and responsible use of outer space to ensure its continued accessibility for future generations. With the rapid expansion of space activities—driven by mega-constellations and increasing private sector participation—concerns over orbital congestion and space debris have intensified. In response, space sustainability has emerged as a global research priority. This study employs bibliometric and scientometric methods to explore the evolution of scientific research on space debris, drawing data from the Web of Science database for the period 2020 to 2024. Through collaboration and co-citation network analyses, the study identifies key research trends, influential contributors, and patterns of international collaboration. The findings provide a comprehensive view of the dynamic and interconnected research landscape supporting the global dialogue on sustainable space operations Page(s): 239-252 Mon, 01 Sep 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/66393 2025-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/66392 Title: The Rise of AI-Driven Scientometrics: A Decade of Transformative Growth (2012-2023) Authors: Ranjay Raj Singh Baghel, Ravi; Rajput, P. S.; Kumar Patel, Mahendra Abstract: The integration of artificial intelligence (AI) and machine learning (ML) into scientometrics has revolutionized the analysis of scientific literature and the impact of the search. This study presents a comprehensive scientific analysis of the growing impact of AI and ML in the field of scientometrics from 2012 to 2023. Using large-scale bibliometric data from major scientific databases like SCOPUS, Google scholar and also collected data from crossref, we use advanced data mining techniques, natural language processing and network analysis. to map the evolving landscape of AI-driven scientometrics. Our results reveal a significant increase in publications combining AI/ML and scientometrics, with a compound annual growth rate of over the study period. We identify five main research groups: predictive bibliometrics, automated research evaluation, scientific mapping and visualization, citation analysis and recommendation systems, and research impact assessment. The analysis also reveals changing methodological trends, with a notable departure from traditional statistical approaches towards more sophisticated AI techniques, particularly in the areas of deep learning and graph neural networks. This study contributes to understanding how AI and ML are reshaping scientometric research and practice, providing valuable insights for researchers, policy makers and research administrators navigating rapid quantitative landscape science studies in evolution Page(s): 253-266 Mon, 01 Sep 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/66392 2025-09-01T00:00:00Z http://nopr.niscpr.res.in/handle/123456789/66391 Title: Is LIS Education Future-Ready? A 56-Year Analysis of Emerging Topics and Research Trajectories Authors: Sahu, Komal; Roy, Abhijit; Sulochana, Anila; Shukla, Akhandanand Abstract: The LIS Education programs have seen significant changes over the last fifty-six years, which have impacted the LIS curriculum in several ways. The study aims to evaluate the evolving research trend and the growth of literature in LIS education and curriculum. Data were collected from the Scopus Database and processed using OpenRefine, VOSviewer, and SCImago Graphica. This study employed the bibliometric and topic modeling approach using the OpenAlex REST API service. The study involved 1296 bibliographic data on LIS education and curriculum, covering the period from 1968-2024. The findings, focusing on research productivity analysis, provide an overview of the most productive publishing channels, publishers, and country collaboration. In addition, it also offers an in-depth keyword analysis to identify emerging topics and includes topic modeling approach. The keywords analysis shows that a new topic, such as Web 2.0, Digital Curation, Research Data Management, etc., was brought to study every year. The emerging primary topics, such as “Information Literacy in Higher Education” and “Social Inclusion in Library Services for Newcomers,” etc. indicate the shifting research priorities and areas of growing interest in LIS. As a result, it is necessary to modify the LIS curriculum to reflect these current trends in LIS Education. Page(s): 267-279 Mon, 01 Sep 2025 00:00:00 GMT http://nopr.niscpr.res.in/handle/123456789/66391 2025-09-01T00:00:00Z