RT Conference Proceedings
T1 The growing scientific interest in artificial intelligence for addressing climate change: a bibliometric analysis
A1 Galán Hernández, José Javier
A1 Carrasco González, Ramón Alberto
A1 Marín Díaz, Gabriel
AB Climate 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.
PB Springer Nature Singapore
SN 978-981-99-7210-4
YR 2024
FD 2024-02-23
LK https://hdl.handle.net/20.500.14352/130448
UL https://hdl.handle.net/20.500.14352/130448
LA eng
NO Galán 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_13
NO SIN FINANCIACIÓN
DS Docta Complutense
RD 20 ene 2026