A recent study titled “GenAI: a scientometric analysis of research trends using biblioshiny and VOSviewer” examines the rapidly expanding field of Generative Artificial Intelligence (GenAI). Conducted by researchers Pabreja, Verma, and Kumar, the study provides an in-depth analysis of GenAI research trends. The findings, which will be published in the journal *Discover Artificial Intelligence*, utilize advanced bibliometric tools such as Biblioshiny and VOSviewer to map out the development and trajectory of this emerging area within artificial intelligence.
The study employs these tools to analyze patterns in academic publications, collaborations, and key areas of focus within GenAI research. Biblioshiny enables detailed exploration of bibliographic data, while VOSviewer visualizes networks of co-authorships, citations, and keyword occurrences. Together, these methods offer insights into how GenAI has evolved over time and identify influential contributors and institutions driving progress in this domain. The research highlights the growing interest in generative AI technologies across various sectors while providing a structured overview of its scholarly impact.
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Source: GO-AI-ne1
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Date: December 25, 2025
