Artificial Intelligence and Sustainability in Architecture: Scientific mapping in WoS with Biblioshiny

dc.contributor.authorYildiz, Asli
dc.contributor.authorAvinc, Gunes Mutlu
dc.date.accessioned2024-12-14T22:07:25Z
dc.date.available2024-12-14T22:07:25Z
dc.date.issued2024
dc.departmentMuş Alparslan Üniversitesien_US
dc.description.abstractThis paper explores the evolution of academic debate and research in the field of architecture on AI and sustainability up to 2023. It focuses on the quantitative development of scientific publications on AI, the key countries and organizations behind these publications, key research topics and areas, and whether and how these publications address sustainability. A total of 428 international scientific publications (peer-reviewed articles, reviews and proceedings) on AI and sustainability in architecture were identified in the Web of Science database between 2020-2023. It has been noticed that the number of publications on artificial intelligence is increasing rapidly. Since 2021, a significant increase in the number of publications is observed. The countries with the highest number of publications are China (59%), USA (17%) and UK (15%), while the most frequently used keywords in publications are performance (13%), design (9%) and model (8%). The journals with the highest number of publications are Building and Environment (26%), Buildings (16%) and Journal of Building Engineering (14%). In the most cited papers, it was seen that AI is used to achieve goals such as implementing sustainability principles, reducing environmental impacts and increasing energy efficiency. As a result, the concept of sustainability is of future cities and architecture.en_US
dc.identifier.doi10.11113/ijbes.v11.n3.1352
dc.identifier.endpage134en_US
dc.identifier.issn1511-1369
dc.identifier.issn2289-8948
dc.identifier.issue3en_US
dc.identifier.orcid0000-0003-1049-2689
dc.identifier.orcidTas, Asli
dc.identifier.orcid0000-0003-0408-1533
dc.identifier.startpage121en_US
dc.identifier.urihttps://doi.org/10.11113/ijbes.v11.n3.1352
dc.identifier.urihttps://hdl.handle.net/20.500.12639/6599
dc.identifier.volume11en_US
dc.identifier.wosWOS:001317368300011
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherPenerbit Utm Pressen_US
dc.relation.ispartofInternational Journal of Built Environment and Sustainabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_20241214
dc.subjectArtificial intelligenceen_US
dc.subjectWeb of Scienceen_US
dc.subjectBiblioshinyen_US
dc.subjectSustainabilityen_US
dc.subjectArchitectureen_US
dc.subjectBibliometric analysisen_US
dc.titleArtificial Intelligence and Sustainability in Architecture: Scientific mapping in WoS with Biblioshinyen_US
dc.typeArticle

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