Bibliometric Analysis of Math and Artificial Intelligence Research

Basit Öğe Kaydı
dc.contributor.authorUzan, Şeyma Bozkurt
dc.contributor.authorMutlu, Nesibe Manav
dc.contributor.authorİrem Deniz Arberk
dc.date.accessioned2025-03-09T18:07:07Z
dc.date.available2025-03-09T18:07:07Z
dc.date.issued2025
dc.departmentBeykent Üniversitesi
dc.description.abstractThis study conducts a comprehensive bibliometric analysis to explore the landscape of research in mathematics and artificial intelligence (AI). Using Scopus as the primary data source, we identify key publications and trends in these fields. Through VOSviewer, we visualize networks of keywords and collaborations among researchers and institutions. The analysis reveals the prominence of topics such as AI and mathematics in academic discourse, as well as the central role played by countries like the United States, the United Kingdom, and China in research collaboration. Limitations include potential biases in data sources and the reliance on keywords for analysis. Future research could integrate alternative metrics and qualitative analyses to provide a more nuanced understanding of research trends and impact.
dc.description.abstractThis study conducts a comprehensive bibliometric analysis to explore the landscape of research in mathematics and artificial intelligence (AI). Using Scopus as the primary data source, we identify key publications and trends in these fields. Through VOSviewer, we visualize networks of keywords and collaborations among researchers and institutions. The analysis reveals the prominence of topics such as AI and mathematics in academic discourse, as well as the central role played by countries like the United States, the United Kingdom, and China in research collaboration. Limitations include potential biases in data sources and the reliance on keywords for analysis. Future research could integrate alternative metrics and qualitative analyses to provide a more nuanced understanding of research trends and impact.
dc.identifier.doi10.34248/bsengineering.1516593
dc.identifier.endpage160
dc.identifier.issn2619-8991
dc.identifier.issue1
dc.identifier.startpage149
dc.identifier.urihttps://doi.org/10.34248/bsengineering.1516593
dc.identifier.urihttps://hdl.handle.net/20.500.12662/5137
dc.identifier.volume8
dc.language.isoen
dc.publisherUğur ŞEN
dc.relation.ispartofBlack Sea Journal of Engineering and Science
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_20250309
dc.subjectBibliometric analysis
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectResearch trends
dc.subjectCollaboration
dc.subjectBibliometric analysis
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectResearch trends
dc.subjectCollaboration
dc.titleBibliometric Analysis of Math and Artificial Intelligence Research
dc.title.alternativeBibliometric Analysis of Math and Artificial Intelligence Research
dc.typeArticle

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