ISSN: 2222-6990
Open access
This study investigates the role and impact of generative artificial intelligence (AI) in academic research using a comprehensive bibliometric approach. A dataset of 515 documents, retrieved from the Scopus database spanning 2017 to 2025, was analyzed using various tools, including Vosviewer, Excel, Biblioshiny, and R Studio. The search string ("Generative AI AND academic research") guided the systematic exploration of the literature. The analysis reveals a significant increase in scholarly attention toward generative AI, highlighting its transformative potential across disciplines. Vosviewer facilitated network visualization, identifying key thematic clusters and collaboration patterns among authors, institutions, and countries. Excel provided detailed trend analysis, illustrating the growth trajectory and publication dynamics over the specified period. Biblioshiny and R Studio enabled deeper insights into citation patterns, thematic evolution, and research hotspots. Consequently, this study identifies thematic trends and key research clusters in generative AI within academic research from 2017 to 2025 using bibliometric analysis. It explores how generative AI technologies, such as ChatGPT, have influenced interdisciplinary research methodologies across Social Sciences, Computer Science, and Engineering. Additionally, it examines collaboration patterns among authors, institutions, and countries in generative AI research, highlighting opportunities to foster global innovation while addressing ethical concerns and algorithmic biases. Key findings suggest that generative AI has become a pivotal tool in advancing academic methodologies, fostering innovation, and enhancing productivity. However, the study also identifies challenges such as ethical concerns, algorithmic biases, and the need for sustainable practices in leveraging AI-driven technologies. It contributed to the growing body of knowledge on generative AI in academia by offering a bibliometric overview and highlighting future research directions. It serves as a valuable resource for scholars and practitioners aiming to understand and harness the capabilities of generative AI in academic research.
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