Mapping the Landscape of Artificial Intelligence in Research Writing: A Bibliometric Analysis (2015-2025)

Abstract

Artificial Intelligence (AI) has become an increasingly important aspect in research writing that has significantly influenced scholarly communication and academic publishing. The results of this paper are the bibliometric analysis of publications indexed in Scopus between 2015 and 2025 to explore the global research trends, thematic development networks and networks of collaboration in the topic area. Based on bibliometric inquiry, in consideration of publication expansion, citation impact, authorship patterns, country-level and institutional factors, as well as co-occurrence of keywords analysis of 5,241 publications, including the study analyses journal articles, conference papers and reviews. The results reveal a strong increasing trend in post-2019 publications due to the accelerated progress of natural language processing, machine learning, and generative systems such as ChatGPT. China is the largest producer in terms of global output, followed by the United States and India, which reflect the growing strength of Asian research communities. Such common interests as are seen in the analysis of keywords include language model, text generation, AI-assisted writing, and scholarly communication. In general, the findings point to the fact that AI is no longer a supportive tool, but a vital component of contemporary research writing, enhancing effective and cooperative research writing and increasing visibility. The analysis sheds light on the cognitive framework and world process of AI-driven research communication and implications for future academic and policy efforts.