Mapping Artificial Intelligence Innovations in Climate Change Research: Trends, Challenges, and Future Directions

Climate change is a critical global challenge that demands innovative strategies for effective mitigation. This study performs a bibliometric analysis of artificial intelligence applications in climate change research, utilizing VOSviewer software to examine 152 publications from the Scopus database. The analysis indicates a significant rise in research activity, with prevalent keywords such as "climate change," "artificial intelligence," and "machine learning" highlighting the key focus areas. The findings emphasize the vital role of AI technologies in enhancing sustainability and addressing climate challenges, advocating for solutions that integrate environmental, social, and economic goals. Notable sources, including "machine learning and artificial intelligence," "AI for climate change and environmental sustainability," and "environmental chemistry letters," have been instrumental in shaping the field. Geographically, influential contributions have emerged from India, the United States, and the United Kingdom, with the University of Tabriz and Menoufia University identified as leading institutions. Key authors such as Nourani, V. (four publications), along with highly cited researcher Huntingford, C. (204 citations), significantly advance the literature. These findings not only illuminate future research directions but also inform the development of effective AI-driven solutions for sustainable climate practices. The study highlights the crucial integration of AI in climate action, promoting collaborative approaches to enhance resilience and sustainability in the face of environmental challenges.