Galán Hernández, José JavierCarrasco González, Ramón AlbertoMarín Díaz, Gabriel2026-01-162026-01-162024-02-23Galán Hernández, J.J., Carrasco González, R.A., Marín Díaz, G. (2024). The growing scientific interest in artificial intelligence for addressing climate change: a bibliometric analysis. In: Ibáñez, D.B., Castro, L.M., Espinosa, A., Puentes-Rivera, I., López-López, P.C. (eds) Communication and applied technologies. ICOMTA 2023. Smart innovation, systems and technologies, vol 375. Springer, Singapore. https://doi.org/10.1007/978-981-99-7210-4_13978-981-99-7210-4https://hdl.handle.net/20.500.14352/130448Climate change is a reality that can be felt. There are more and more symptoms: droughts, floods, global temperature change… This is causing public opinion to react and worry. The scientific community is no stranger to this feeling and is looking to science and technology, specifically artificial intelligence, for the means and mechanisms to help reduce this impact. This study demonstrates that the scientific community’s interest in artificial intelligence and climate change is a constant and growing reality. To achieve this objective, a bibliometric study is used with the following methodology: first, scientific papers related to artificial intelligence and climate change are obtained from the Scopus database, then they are processed through VOSviewer and analyzed by the dimensions of time, topics, and countries, and finally a network map is visualized where it can be seen how climate change is surrounded by areas related to artificial intelligence.engconference paperhttps://doi.org/10.1007/978-981-99-7210-4_13https://link.springer.com/chapter/10.1007/978-981-99-7210-4_13restricted access004.85024.5:519.23519.8551.58Artificial IntelligenceClimate ChangeBibliometric AnalysisScientific TrendsMachine LearningSustainabilityInteligencia artificial (Informática)BibliometríaInvestigación operativa (Estadística)1203.04 Inteligencia Artificial1209.01 Estadística Analítica2502.01 Climatología Analítica