The growing scientific interest in artificial intelligence for addressing climate change: a bibliometric analysis

dc.book.titleCommunication and Applied Technologies: Proceedings of ICOMTA 2023
dc.contributor.authorGalán Hernández, José Javier
dc.contributor.authorCarrasco González, Ramón Alberto
dc.contributor.authorMarín Díaz, Gabriel
dc.date.accessioned2026-01-16T11:24:27Z
dc.date.available2026-01-16T11:24:27Z
dc.date.issued2024-02-23
dc.description.abstractClimate 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.
dc.description.departmentDepto. de Sistemas Informáticos y Computación
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.sponsorshipSIN FINANCIACIÓN
dc.description.statuspub
dc.identifier.citationGalán 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
dc.identifier.isbn978-981-99-7210-4
dc.identifier.officialurlhttps://doi.org/10.1007/978-981-99-7210-4_13
dc.identifier.relatedurlhttps://link.springer.com/chapter/10.1007/978-981-99-7210-4_13
dc.identifier.urihttps://hdl.handle.net/20.500.14352/130448
dc.language.isoeng
dc.page.final148
dc.page.initial139
dc.page.total573
dc.publication.placeSingapore, 2024
dc.publisherSpringer Nature Singapore
dc.relation.ispartofseriesSmart Innovation, Systems and Technologies
dc.rights.accessRightsrestricted access
dc.subject.cdu004.85
dc.subject.cdu024.5:519.23
dc.subject.cdu519.8
dc.subject.cdu551.58
dc.subject.keywordArtificial Intelligence
dc.subject.keywordClimate Change
dc.subject.keywordBibliometric Analysis
dc.subject.keywordScientific Trends
dc.subject.keywordMachine Learning
dc.subject.keywordSustainability
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.ucmBibliometría
dc.subject.ucmInvestigación operativa (Estadística)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.subject.unesco1209.01 Estadística Analítica
dc.subject.unesco2502.01 Climatología Analítica
dc.titleThe growing scientific interest in artificial intelligence for addressing climate change: a bibliometric analysis
dc.typeconference paper
dc.type.hasVersionVoR
dc.volume.number375
dspace.entity.typePublication
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