Generative AI Meets IoT: A Bibliometric Mapping of Research and Development

Computer technology has transformed the way people interact online within society. The integration of (GIoT) combines Artificial Intelligence (AI) and Internet of Things (IoT) technology, offering numerous benefits in many fields for innovation and growth. GIoT helps with real-time applications for data prediction and alerts. Based on the authors' understanding and searches in scholarly databases, less bibliometric analysis has yet been performed on Generative Artificial Intelligence (GAI) for the IoT, even though such analyses are crucial for research development in this field. This study conducted a thorough bibliometric examination of GAI applications in the IoT over the period from 2014 to 2024. The analysis is based on a dataset of 296 documents sourced from the Scopus database. The bibliometric review was conducted using the Biblioshiny application, a tool available within the Bibliometric package in the R programming language. Top literature sources, major fields of study, nations, well-known authors, popular subjects, authorship, citations, author-keywords, and co-keywords were all subjected to bibliometric analysis.