This study investigates the application of Artificial Intelligence (AI) in academic libraries through a bibliometric analysis of 354 publications indexed in Scopus from 2010 to 2023. Using Bibliometrix, VOS Viewer, and MS Excel, it examines publication trends, influential authors, sources, geographical contributions, and thematic evolution. The findings reveal a surge in AI-related research in recent years, with significant contributions from scholars like Cox AM and Stock WG. Collaborative research accounts for 75% of publications, indicating its high impact. The Journal of Academic Librarianship emerges as the leading source, while China, the USA, and India lead in publication output. Key research themes include AI integration in library services, data mining, and user personalization, with notable collaborations between Indonesia-Malaysia and Nigeria-South Africa. A thematic analysis identifies artificial intelligence, machine learning, and chatbots as pivotal areas. The study underscores the interdisciplinary nature of AI research in academic libraries and its growing influence on enhancing library operations, resource discovery, and user experiences. By identifying research gaps and future directions, the findings provide valuable insights for library professionals and policymakers, enabling more strategic AI adoption to improve efficiency, automate routine tasks, and enhance decision-making in library management.

This bibliometric study investigates the publishing trends and patterns along with top authors, countries, organizations, nature of collaboration, and sub-areas of library leadership literature published from 1959 to 2022. The Scopus database was used for data extraction, and 500 relevant records were selected. The data were analyzed using Microsoft Access, Microsoft Excel, VOSviewer, Biblioshiny, and CiteSpace software. The results highlighted that the United States of America was a global trendsetter in library leadership research, being the top contributing country (313, 62.6% publications). They also identified the top productive author (Martin, J.), top-cited author (Ole Pors, N), top organization (University of Punjab, Pakistan), most preferable sources (Journal of Library Administration) and top-cited article (“Supporting Digital Scholarship in Research Libraries: Scalability and Sustainability” by Vinopal J). The highest research productivity was recorded in 2019, with 42 publications (8.4%), followed by 37 (7.4%) publications in 2018 and 2021. Furthermore, 270 publications (54%) on library leadership were published during the last decade (2011–2020). This study informed that most of the published literature on library leadership was general, following a solo authorship trend (314), with less collaborative research ( n = 186) and a significant number ( n = 148) of non-cited documents. The critical areas of future research identified in this study, including transformational, ethical, participative, and humanistic leadership, need to be investigated. The study suggests that emerging digital and virtual leadership areas should also be examined along with the areas with limited literature. To the best of our knowledge, this is the first comprehensive bibliometric study to present a holistic picture of the library leadership literature.

Web 2.0 and Libraries: Facts or Myths

The main objective of this research work is to assess the impact and visibility of Indian journals, estimate presently published (2017) scientific journal quality mostly adopted bibliometric indicators: Journal Impact Factor (JIF), Eigenfactor Score (ES), SCImago Journal Rank indicator (SJR) and H5. Indian journals were picked from their class from Web of Science. JIFs and ESs are obtained from Journal Citation Report and the SJR from the SCImago Journal and country rank website.The 106 Indian journals taken, analyzed and documented with conjoined required data retrieved from primary and original sites in linking JIF, SJR, ES and H5 quality indexes for quality ranking. Correlations among indicators were described by means of Pearson's and Spearman's statistical correlations through use of SPSS software. All graphed journals are indexed in noticeable and respected databases of Web of Science (WoS) and Scopus.Bivariate correlation between the selected indicators (JIF, ES, SJR and H5) for ranking of the selected Indian journals revealed that there is a high Pearson's (r) statistical correlation between JIF and H5 indicators