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Title	Fundamental Trends And Hot-Spots In Public Governance And Artificial Intelligence Research: A Bibliometric Study Analysis From 2013 To 2023
ID_Doc	27422
Authors	Lee S.
Year	2024
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3671151.3671290
Abstract	Background: AI has become an important theoretical and practical hotspot in public governance. This study aims to analyses the publication characteristics of AI in public governance research in terms of institutions, journals and partnerships, and to analyses the development trend of AI in public governance research. Methods: Publications regarding AI in public governance were retrieved from Web of Science core collection. Microsoft Excel 2010, VOSviewer were used to characterize the contributions of the authors, journals, and institutions. The trends, hot-spots and knowledge network were analyzed by Citespace and VOSviewer. Results: We identified 2525 papers between 2013 and 2023. The number of papers grows gradually until 2019, followed by a sharp increase between 2020 and 2023. The University of Oxford is the most active institution. Most of the papers in this field are published in Sustainability and IEEE Access. Luciano is the most productive author, and EUROPEAN COMMISSION is the most frequently co-cited author. The frontier topics are public sector and smart city. The basic themes of this field are “application scenarios, operation characteristics, algorithm characteristics, risk governance”. Conclusion: In the past three years, artificial intelligence and public governance research have attracted widespread attention. The research hotspots are gradually shifting to public service, decision-making and risk. © 2024 ACM.
Author Keywords	AI; bibliometric analysis; Citespace; Fundamental trends; hotspots; public governance; VOSviewer

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