Bibliometric Analysis on Artificial Intelligence (2023-2026)

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Boubaker, S., Caputo, F., & Cappa, F. (2022). Big data and artificial intelligence in accounting and auditing: A bibliometric analysis. Spanish Journal of Finance and Accounting, 52(3), 411–430. https://doi.org/10.1080/02102412.2022.2099675

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Cao, L., Zhao, Y., & Liu, H. (2022). Artificial intelligence and machine learning in finance: A bibliometric review. Research in International Business and Finance, 61, 101712. https://doi.org/10.1016/j.ribaf.2022.101712

Chan, K. S., & Zary, N. (2019). Applications and challenges of implementing artificial intelligence in medical education: Integrative review. JMIR Medical Education, 5(1), e13930. https://doi.org/10.2196/13930

Chemnad, K., & Othman, A. (2024). Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review. Frontiers in Artificial Intelligence, 7, 1349668. https://doi.org/10.3389/frai.2024.1349668

Chen, C., & Tsai, F. (2021). Artificial intelligence in mathematics education research: A bibliometric mapping analysis. Mathematics, 9(6), 584. https://doi.org/10.3390/math9060584

Chen, X., & Liu, Y. (2024). Bibliometric analysis of artificial intelligence applications in engineering research. IEEE Access, 12, 115420–115435.

Chen, X., Liu, Y., & Wang, J. (2022). Bibliometric analysis of artificial intelligence research in healthcare. Frontiers in Public Health, 10, 889245.

Chen, Y., Li, J., Wang, X., et al. (2023). Explainable artificial intelligence in finance: A bibliometric analysis. Finance Research Letters, 58, 104512. https://doi.org/10.1016/j.frl.2023.104512

Chen, Y., Wang, H., & Li, X. (2024). Artificial intelligence in educational technology research: A bibliometric approach. Journal of Educational Computing Research. https://doi.org/10.1177/07356331241278636

Costa, D., Pereira, M., & Ivanov, S. (2024). Artificial intelligence applications in regional development research: A bibliometric study. Algorithms, 17(9), 418. https://doi.org/10.3390/a17090418

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

De la Vega Hernández, I. M., Urdaneta, A. S., et al. (2023). Global bibliometric mapping of the frontier of knowledge in the field of artificial intelligence for the period 1990–2019. Artificial Intelligence Review, 56, 12345–12370. https://doi.org/10.1007/s10462-022-10206-4

Demir, K., & Kaya, S. (2020). Big data and artificial intelligence domains: A bibliometric analysis. International Journal on E-Learning, 19(4), 345–362.

Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: A review and bibliometric analysis. The TQM Journal, 32(4), 869–896. https://doi.org/10.1108/TQM-10-2019-0243

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Durak, G., Çankaya, S., Özdemir, D., & Can, S. (2024). Artificial intelligence in education: A bibliometric study on its role in transforming teaching and learning. International Review of Research in Open and Distributed Learning, 25(3), 145–166.

Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., et al. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983

Dwivedi, Y. K., Hughes, L., Ismagilova, E., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

El-Hajj, V. G., Gharios, M., Edström, E., & Elmi-Terander, A. (2023). Artificial intelligence in neurosurgery: A bibliometric analysis. World Neurosurgery, 170, 218–228. https://doi.org/10.1016/j.wneu.2022.11.104

Espina-Romero, L., Norono Sanchez, J. G., et al. (2023). Which industrial sectors are affected by artificial intelligence? A bibliometric analysis of trends and perspectives. Sustainability, 15(16), 12176. https://doi.org/10.3390/su151612176

Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118. https://doi.org/10.1038/nature21056

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2018). AI4People—An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689–707. https://doi.org/10.1007/s11023-018-9482-5

Fu, H. Z., Wang, M. H., & Ho, Y. S. (2022). Mapping the scientific research on artificial intelligence in healthcare: A bibliometric analysis. Healthcare, 10(5), 879. https://doi.org/10.3390/healthcare10050879

Gao, F., Jia, X., Zhao, Z., Chen, C. C., Xu, F., Geng, Z., et al. (2021). Bibliometric analysis on tendency and topics of artificial intelligence over last decade. Microsystem Technologies, 27(4), 1545–1557. https://doi.org/10.1007/s00542-019-04426-y

Gao, H., & Ding, X. (2022). The research landscape on artificial intelligence: A bibliometric analysis of recent 20 years. Multimedia Tools and Applications, 81(22), 32195–32224. https://doi.org/10.1007/s11042-022-12208-4

García, J., Martínez, P., & López, R. (2022). Artificial intelligence techniques in innovation project management: A bibliometric review. Applied Sciences, 12(22), 11743. https://doi.org/10.3390/app122211743

Gómez, L., & Silva, P. (2024). Fuzzy logic and artificial intelligence: An interdisciplinary bibliometric analysis. Mathematics, 12(5), 782. https://doi.org/10.3390/math12050782

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Gordon, M., et al. (2024). Generative artificial intelligence in medical education: Opportunities and challenges. Medical Teacher, 46(2), 120–128.

Gu, J., Gao, C., & Wang, L. (2023). The evolution of artificial intelligence in biomedicine: Bibliometric analysis. JMIR AI, 2(1), e45770. https://doi.org/10.2196/45770

Guembe, B., Misra, S., Azeta, A., et al. (2025). Bibliometric analysis of artificial intelligence cyberattack detection models. Artificial Intelligence Review. https://doi.org/10.1007/s10462-025-11167-0

Guo, Y., Hao, Z., Zhao, S., Gong, J., & Yang, F. (2020). Artificial intelligence in health care: Bibliometric analysis. Journal of Medical Internet Research, 22(7), e18228. https://doi.org/10.2196/18228

Gupta, R., & Sharma, P. (2025). Artificial intelligence and emerging research trends: A bibliometric analysis. Discover Artificial Intelligence. https://doi.org/10.1007/s43621-025-01222-9

Han, W., Li, Y., & Zhang, X. (2024). A bibliometric analysis of artificial intelligence in language teaching and learning (1990–2023): Evolution, trends and future directions. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12848-z

Hanna, M. G., et al. (2024). Artificial intelligence applications in pathology and diagnostics. Modern Pathology, 37(1), 55–68.

Hassan, M., & Ali, K. (2023). Artificial intelligence in cybersecurity research: A bibliometric analysis. Mesopotamian Journal of CyberSecurity, 2023(1), 45–59.

Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051

Ho, Y. S., & Satoh, H. (2021). Bibliometric study of Applied Artificial Intelligence journal. COLLNET Journal of Scientometrics and Information Management, 15(2), 245–260. https://doi.org/10.1080/09737766.2021.1938742

Ho, Y. S., & Wang, M. H. (2020). A bibliometric analysis of artificial intelligence publications from 1991 to 2018. COLLNET Journal of Scientometrics and Information Management, 14(2), 369–392. https://doi.org/10.1080/09737766.2021.1918032

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Huang, J., Zhang, Y., Li, X., & Wang, L. (2023). Global research trends in artificial intelligence: A bibliometric and visualized study. Scientometrics, 128(4), 2451–2476.

Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50.

Ilić, L., Šijan, A., Predić, B., Viduka, D., & Karabašević, D. (2024). Research trends in artificial intelligence and security—Bibliometric analysis. Electronics, 13(12), 2288. https://doi.org/10.3390/electronics13122288

Ionescu, Ș., Delcea, C., Chiriță, N., & Nica, I. (2024). Exploring the use of artificial intelligence in agent-based modeling applications: A bibliometric study. Algorithms, 17(1), 21. https://doi.org/10.3390/a17010021

Islam, M. N., & Guangwei, H. (2025). Trends and patterns of artificial intelligence research in libraries: A bibliometric analysis. SAGE Open, 15(1). https://doi.org/10.1177/21582440251327528

Ivanova, M., Grosseck, G., & Holotescu, C. (2024). Unveiling insights: A bibliometric analysis of artificial intelligence in teaching. Informatics, 11(1), 10. https://doi.org/10.3390/informatics11010010

Jia, K., Wang, P., Li, Y., Chen, Z., Jiang, X., Lin, C. L., & Chao, C. M. (2022). Research landscape of artificial intelligence and e-learning: A bibliometric research. Frontiers in Psychology, 13, 795039. https://doi.org/10.3389/fpsyg.2022.795039

Jimma, B. L. (2023). Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports, 9, 100041. https://doi.org/10.1016/j.teler.2023.100041

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Jrad, M. (2023). A role of artificial intelligence in the context of economy: Bibliometric analysis and systematic literature review. International Journal of Membrane Science and Technology, 10(2), 1–15.

Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50. https://doi.org/10.1016/j.bushor.2019.09.003

Khan, M., Ali, R., & Ahmed, S. (2025). Artificial intelligence in public administration: A bibliometric study. Public Administration Review, 85(1), 88–104.

Khan, M., Ali, S., & Hussain, T. (2023). Machine learning and ecotechnology for sustainable development: A bibliometric review. Environmental and Sustainability Indicators, 20, 100301. https://doi.org/10.1016/j.indic.2023.100301

Kim, S., & Park, J. (2024). Artificial intelligence studies in education: A bibliometric review. Sustainability, 16(16), 6724. https://doi.org/10.3390/su16166724

Knani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. International Journal of Hospitality Management, 107, 103317. https://doi.org/10.1016/j.ijhm.2022.103317

Kumar, A., Singh, P., & Sharma, V. (2024). Artificial intelligence and cultural heritage research: A bibliometric analysis. Digital Library Perspectives, 40(4), 609–628. https://doi.org/10.1108/DLP-02-2024-0015

Kumar, R., Sharma, P., Singh, A., & Verma, S. (2024). Artificial intelligence in healthcare diagnostics: A bibliometric analysis. Discover Artificial Intelligence, 4(1), 114. https://doi.org/10.1007/s44163-024-00114-7

Kumar, V., Ramachandran, D., & Gupta, S. (2021). The impact of artificial intelligence on branding: A bibliometric study. International Journal of E-Business Research, 17(4), 1–19. https://doi.org/10.4018/IJEBR.2021100101

Lee, J., Kim, S., & Park, H. (2022). Economics and artificial intelligence research overlap: A bibliometric analysis. Pacific Asia Journal of the Association for Information Systems, 14(2), 145–167.

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Li, K. C., & Wong, B. T. M. (2023). Artificial intelligence in personalised learning: A bibliometric analysis. Interactive Technology and Smart Education, 20(3), 422–439. https://doi.org/10.1108/ITSE-10-2022-0171

Li, X., Zhang, H., Wang, Y., et al. (2024). Artificial intelligence applied to wastewater treatment: Visualization and bibliometric analysis. Journal of Water Process Engineering, 62, 105441. https://doi.org/10.1016/j.jwpe.2024.105441

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