Research Article

Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis

Volume: 19 Number: 2 March 3, 2026
EN TR

Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis

Abstract

This study presents a comprehensive bibliometric analysis examining the applications of artificial intelligence (AI) in smart cities in terms of global research trends, thematic evolution, and future directions. Based on the analysis of 810 publications from the Web of Science database covering the period 2004-2025, the study maps the intellectual structure of the field through co-citation, co-authorship, and keyword co-occurrence networks using VOSviewer software, and conducts thematic content analysis of the most influential publications. The findings reveal the application areas of AI in smart cities under six main headings: smart cities, AI and machine learning, internet of things, management, data security and blockchain, environmental sustainability, and digital twins for urban planning. Publication trends show an exponential increase in research outputs after 2019, with China, India, and the USA standing out as the countries with the most contributions. "Smart city", "AI", "machine learning", and "internet of things" are among the most frequently encountered keywords. The study identifies critical challenges such as the need for standard data protocols, ethical AI governance, and interdisciplinary collaboration for scalable and equitable urban solutions. The results highlight the transformative potential of AI in smart city development, while highlighting the importance of balanced approaches that integrate technological innovation with societal and environmental elements. This research serves as an essential reference for policymakers, local governments, urban planners, and researchers working at the intersection of AI and smart urban systems.

Keywords

References

  1. Ahad, M. A., Paiva, S., Tripathi, G., & Feroz, N. (2020). Enabling technologies and sustainable smart cities. Sustainable cities and society, 61, 102301. https://doi.org/10.1016/j.scs.2020.102301
  2. Ahmad, K., Maabreh, M., Ghaly, M., Khan, K., Qadir, J., & Al-Fuqaha, A. (2022). Developing future human-centered smart cities: Critical analysis of smart city security, data management, and ethical challenges. Computer Science Review, 43, 100452. https://doi.org/10.1016/j.cosrev.2021.100452
  3. Alaeddini, M., Hajizadeh, M., & Reaidy, P. (2023). A bibliometric analysis of research on the convergence of artificial intelligence and blockchain in smart cities. Smart Cities, 6(2), 764-795. https://doi.org/10.3390/smartcities6020037
  4. Alahakoon, D., Nawaratne, R., Xu, Y., De Silva, D., Sivarajah, U., & Gupta, B. (2023). Self-building artificial intelligence and machine learning to empower big data analytics in smart cities. Information Systems Frontiers, 25(1), 221-240. https://doi.org/10.1007/s10796-020-10056-x
  5. Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89, 80–91. https://doi.org/10.1016/j.cities.2019.01.032
  6. Allam, Z., & Jones, D. S. (2020, February). On the coronavirus (COVID-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. In Healthcare (Vol. 8, No. 1, p. 46). MDPI. https://doi.org/10.3390/healthcare8010046
  7. Allam, Z., Sharifi, A., Bibri, S. E., Jones, D. S., & Krogstie, J. (2022). The metaverse as a virtual form of smart cities: Opportunities and challenges for environmental, economic, and social sustainability in urban futures. Smart Cities, 5(3), 771-801. https://doi.org/10.3390/smartcities5030040
  8. Alsabt, R., Adenle, Y. A., & Alshuwaikhat, H. M. (2024). Exploring the roles, future impacts, and strategic integration of artificial intelligence in the optimization of Smart City—from systematic literature review to conceptual model. Sustainability, 16(8), 3389. https://doi.org/10.3390/su16083389

Details

Primary Language

English

Subjects

Ecology, Sustainability and Energy

Journal Section

Research Article

Publication Date

March 3, 2026

Submission Date

April 4, 2025

Acceptance Date

March 3, 2026

Published in Issue

Year 2026 Volume: 19 Number: 2

APA
Bulut, S. (2026). Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis. Kent Akademisi, 19(2), 1-22. https://doi.org/10.35674/kent.1669862
AMA
1.Bulut S. Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis. Urban Academy. 2026;19(2):1-22. doi:10.35674/kent.1669862
Chicago
Bulut, Selma. 2026. “Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis”. Kent Akademisi 19 (2): 1-22. https://doi.org/10.35674/kent.1669862.
EndNote
Bulut S (March 1, 2026) Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis. Kent Akademisi 19 2 1–22.
IEEE
[1]S. Bulut, “Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis”, Urban Academy, vol. 19, no. 2, pp. 1–22, Mar. 2026, doi: 10.35674/kent.1669862.
ISNAD
Bulut, Selma. “Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis”. Kent Akademisi 19/2 (March 1, 2026): 1-22. https://doi.org/10.35674/kent.1669862.
JAMA
1.Bulut S. Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis. Urban Academy. 2026;19:1–22.
MLA
Bulut, Selma. “Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis”. Kent Akademisi, vol. 19, no. 2, Mar. 2026, pp. 1-22, doi:10.35674/kent.1669862.
Vancouver
1.Selma Bulut. Artificial Intelligence Research in Smart Cities: A Bibliometric Analysis. Urban Academy. 2026 Mar. 1;19(2):1-22. doi:10.35674/kent.1669862

Urban Academy | Journal of Urban Culture and Management / Kent Akademisi | Kent Kültürü ve Yönetimi Dergisi
Information, Communication, Art and Media Network (ICAM Network) | www.icamnetwork.net
Address: Ahmet Emin Fidan Culture and Research Center, Evkaf Neigh. No: 34 Fatsa Ordu
Tel: +90452 310 20 30 | Publication Group Mail: info@icamnetwork.net | Journal Mail:  editor@kentakademisi.com