Scientometric analysis reveals AI's expanding influence on research support services, suggesting improved collaboration and integration strategies.
This study investigates the role of Artificial Intelligence (AI) on research support services through a scientometric analysis of global trends and future directions. The analysis draws on data retrieved from the Scopus database, covering 199 publications from 2015 to 2024. By analysing publication growth, citation patterns, subject-wise distribution, geographic contributions, and collaboration networks, the study highlights AI’s expanding role in academia. Findings reveal a significant rise in publications from 2015 to 2024, with education as the dominant field. While citation trends indicate scholarly influence, Altmetrics show limited public engagement. Co-authorship analysis identifies strong regional ties but weak interdisciplinary and international collaboration. Keyword mapping highlights key AI applications in research support. The study suggests that promoting global collaboration, encouraging interdisciplinary approaches, and utilising social media may further support the effective integration of AI into research support services, enhancing their efficiency and accessibility.
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Lepcha et al. (2025) studied this question.
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