<p>ChatGPT, recognized for its potential human-like performance, has attracted considerable attention from researchers, leading to an extensive body of scientific literature. However, it remains underexplored in terms of comprehensive quantitative analysis, posing challenges for researchers aiming to discern the intricate development of specific topics. This paper uses scientometric analysis to assess trends and patterns in ChatGPT research, focusing on authorship, publications, sources, organizations, countries, key interest areas and future trajectories. Utilizing data extracted from the Scopus database and employing tools such as Biblioshiny, VOSviewer and Microsoft Excel, we analyzed 1478 documents from 799 sources. The findings uncovered an exceptional annual growth rate of 1289.24% in ChatGPT research, indicating an unprecedented sudden surge within a brief time. In addition, the analysis revealed the most influential authors, publications, sources organizations and countries, showing a diverse global engagement. The analysis further unveiled primary research topics and gaps within ChatGPT research. The findings suggest opportunities for increased international collaborations, extending research in underexplored fields and regions, along with emerging themes. In addition, these findings offer valuable insights into the trajectory of ChatGPT research and suggest promising directions for future scholarly inquiry in this field.</p>