Jul 2026· IAFOR Journal of Literature & Librarianship· Vol 15, pp. 55-83· 0 citations
TL;DR
This study provides a scientific foundation for directing RSS development at academic libraries in the GenAI context, and indicates rapidly increasing publication output, particularly from 2023 onward, reflecting growing interest from the academic community.
Abstract
Nowadays, Generative Artificial Intelligence (GenAI) is making a significant impact on research activities and library services. In order to identify the core dimensions of contemporary research on GenAI applications in developing Research Support Services (RSS) at academic libraries a bibliometric analysis of publications was conducted. Data were collected from the Web of Science database, comprising 362 articles published during the period 2016–2025. Together, the bibliometric analysis with Microsoft Excel, VOSviewer, Carrot2, and CiteSpace revealed publication trends, international collaborations, keyword co-occurrence, topic clustering, and temporal research evolution. Results indicate rapidly increasing publication output, particularly from 2023 onward, reflecting growing interest from the academic community. The USA, the UK, and India play central roles in the research collaboration network. Prominent themes focus on GenAI applications in intelligent reference services, chatbots, recommendation systems, knowledge discovery, research data management, and AI literacy training, alongside emerging issues such as ethics and data security. This study provides a scientific foundation for directing RSS development at academic libraries in the GenAI context.
A five-phase framework comprising Strategic Conceptualisation, Systematic Literature Synthesis, Methodology Selection, Governance, Ethics and Trust, and Continuous Reflection and Feedback is proposed, positioning the human touch, curiosity, critical thinking, critical thinking, creativity, contextual expertise, and ethical judgement, as the foundation of responsible AI-assisted research planning.
Niranjan Devkota, M. Siddique, Dipendra Karki et al.· International Research Journ...· 0 citations
Artificial Intelligence (AI) has become an increasingly important aspect in research writing that has significantly influenced scholarly communication and academic publishing. The results of this paper are the bibliometric analysis of publications indexed in Scopus between 2015 and 2025 to explore the global research trends, thematic development networks and networks of collaboration in the topic area. Based on bibliometric inquiry, in consideration of publication expansion, citation impact, authorship patterns, country-level and institutional factors, as well as co-occurrence of keywords analysis of 5,241 publications, including the study analyses journal articles, conference papers and reviews. The results reveal a strong increasing trend in post-2019 publications due to the accelerated progress of natural language processing, machine learning, and generative systems such as ChatGPT. China is the largest producer in terms of global output, followed by the United States and India, which reflect the growing strength of Asian research communities. Such common interests as are seen in the analysis of keywords include language model, text generation, AI-assisted writing, and scholarly communication. In general, the findings point to the fact that AI is no longer a supportive tool, but a vital component of contemporary research writing, enhancing effective and cooperative research writing and increasing visibility. The analysis sheds light on the cognitive framework and world process of AI-driven research communication and implications for future academic and policy efforts.
P. Tyagi, S. Sharma· International Journal of Inf...· 0 citations
Technological advancements have fundamentally altered digital commerce, with artificial intelligence (AI) undertaking an increasingly influential role. Despite the growing volume of academic work in this area, integrative and comprehensive review studies remain limited, particularly in bibliometric and cluster analysis to synthesize accumulated knowledge. This research aims to fill the literature gap by providing a detailed understanding of the emerging trends and patterns in AI's influence on digital commerce. Using the Scopus database, 3751 documents published between 2015 and 2025 were included, and the PRISMA framework was followed. Only documents classified as articles and conference papers in English were included, whereas document types such as books, reviews, editorials, letters, and notes were excluded to ensure consistency in the analysis. BiblioMagika and VOSviewer were employed to perform a detailed bibliometric analysis, covering trend and citation analyses, main contributors and institutions, as well as keyword co-occurrence examination. The findings indicated that the number of publications increased gradually from 76 in 2015 to 1006 in 2025. Interestingly, Robert D. Cairns from McGill University stands out as a key contributor, with seven publications in AI and digital commerce-related research. Among the listed institutions, Jadara University, Jordan, was recognized as the most prolific contributor, with eight publications, followed by Universitas Padjadjaran, Indonesia, with five publications. The keyword co-occurrence network analysis identified seven primary theme clusters, offering valuable insights into future research on AI's role in the digital commerce literature. This study presents an in-depth synthesis for researchers, policymakers, management educators, and industry practitioners by emphasizing the growing influence of artificial intelligence in redefining commercial practices and strategic orientations.
M. Chan, Yee-Yann Yap, A. Seow et al.· International Conference on...· 0 citations
This review highlights the field's strong interdisciplinary character and reveals the current challenges that the sector faces, and outlines a systematic research program to guide further studies of the implementation, impact, and problems of GenAI in enterprises and communities.
Majdouline Attaoui, Wissal Attaoui, Anas Moukrim et al.· International journal of mul...· 0 citations
The rapid advancement of Generative Artificial Intelligence (GenAI) has significantly transformed educational practices by introducing new possibilities for personalized learning, intelligent tutoring systems, automated feedback, and AI-supported knowledge creation. This study aims to explore the global research landscape of Generative AI for Learning through a bibliometric analysis of scientific publications indexed in the Scopus database. A comprehensive literature search was conducted to identify relevant publications, followed by performance analysis and science mapping using VOSviewer. The analysis examined publication trends, highly cited literature, keyword co-occurrence, citation networks, author collaboration, institutional contributions, and international research patterns. The findings reveal that research on generative AI in learning has experienced substantial growth, particularly following the emergence of ChatGPT and large language models. The intellectual structure of the field is dominated by three interconnected themes: technological advancement of artificial intelligence, educational integration of AI-based learning systems, and human-centered considerations including AI literacy, critical thinking, ethics, and responsible adoption. Influential publications highlight both the opportunities and challenges of generative AI, including improvements in learning effectiveness, academic transformation, assessment challenges, and potential cognitive impacts. Furthermore, collaboration analysis indicates that the United States plays a central role in global research networks, while contributions from countries across Asia, Europe, and other regions continue to expand. This study provides a comprehensive understanding of the evolution, current trends, and future directions of Generative AI for Learning research, emphasizing the importance of interdisciplinary collaboration and responsible AI implementation to support sustainable educational innovation.
L. Judijanto· West Science Interdisciplina...· 0 citations
A comprehensive bibliometric analysis of global generative AI research to characterize its publication growth, disciplinary and geographical distribution, institutional participation, funding patterns, citation performance, and thematic development provides an evidence-based, multidimensional characterization of the rapidly evolving generative AI research landscape.
Sofia Stamou, Matina Kiourexidou· Information· 0 citations
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