Bibliometric analysis of scientific publications on artificial intelligence in educational management and leadership: Web of Science and Scopus sources between 1986-2026

dc.collaborationSingle Author
dc.contributor.authorYurdunkulu, Adem
dc.contributor.otherEğitim Bilimleri Fakültesi, Rehberlik ve Psikolojik Danışmanlık Bölümü
dc.date.accessioned2026-06-09T06:54:31Z
dc.date.issued2026
dc.departmentİHÜ, Eğitim Bilimleri Fakültesi, Rehberlik ve Psikolojik Danışmanlık Bölümü
dc.descriptionRelevance to the project Center for Leaders’ and Teachers’ Excellence, TR10/23/SOGEP/YÖM/0001, Istanbul Development Agency ISTKA, with no funding for the present paper.
dc.description.abstractThis study aims to map the academic literature at the intersection of artificial intelligence (AI) and educational management/leadership through bibliometric methods, using a dataset of 1,072 articles retrieved from the Web of Science and Scopus databases. Analyses conducted with R software and the Biblioshiny package reveal that the field is exceptionally young and dynamic, with an average document age of only 2.7 years, and that scientific output has increased substantially in the post-2020 period. This dynamic structure can be attributed to the COVID-19 pandemic and the widespread diffusion of generative AI tools. The geographical distribution of publication output indicates orientation towards new geographical directions with a growing concentration along a Eurasian axis. At the institutional level, Kazan Federal University (99 publications) and RUDN University (62 publications) emerge as dominant contributors, while China holds a global leadership position in citation impact (1,885 citations). This result should be cautiously handled as the database bias and publication concentration effects might have influenced the search outputs. In terms of conceptual structure, "artificial intelligence" and "machine learning" appear as dominant terms, and the thematic map identifies these concepts- together with "education management"-as motor themes. This finding suggests that the field has moved beyond purely theoretical debates and is transitioning into the mainstream of datadriven educational management. Considering this transformation, it is recommended that policymakers and leadership-development programs urgently integrate modules on data literacy and AI ethics. Overall, the study concludes that the discipline is undergoing a transition period, where future leaders will be responsible for governing algorithmic resources alongside human resources.
dc.identifier.citationYurdunkulu, A. (2026). Bibliometric analysis of scientific publications on artificial intelligence in educational management and leadership: Web of Science and Scopus sources between 1986-2026. Contemporary Educational Technology, 18(2), 1-18. https://www.doi.org/10.30935/cedtech/18577
dc.identifier.doi10.30935/cedtech/18577
dc.identifier.endpage18
dc.identifier.issn1309-517X
dc.identifier.issue2
dc.identifier.orcid0000-0001-7879-3184
dc.identifier.scopus105040540857
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttps://www.doi.org/10.30935/cedtech/18577
dc.identifier.urihttp://hdl.handle.net/20.500.12154/3986
dc.identifier.volume18
dc.identifier.wosWOS:001778459200002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYurdunkulu, Adem
dc.institutionauthorid0000-0001-7879-3184
dc.language.isoen
dc.publisherBastas
dc.relation.ispartofContemporary Educational Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgN/A
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Intelligence
dc.subjectBibliometric
dc.subjectEducation
dc.subjectLeadership
dc.subjectManagement
dc.titleBibliometric analysis of scientific publications on artificial intelligence in educational management and leadership: Web of Science and Scopus sources between 1986-2026
dc.typeReview Article
dspace.entity.typePublication
relation.isAuthorOfPublicationc27d06ac-0ad4-42c6-9eb7-0a230779e119
relation.isAuthorOfPublication.latestForDiscoveryc27d06ac-0ad4-42c6-9eb7-0a230779e119
relation.isOrgUnitOfPublication5237ecdd-ea50-4c56-a9b2-80a402ceb7be
relation.isOrgUnitOfPublication.latestForDiscovery5237ecdd-ea50-4c56-a9b2-80a402ceb7be

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