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Mapping Global Research Trends in Cybersecurity and Artificial Intelligence: A Bibliometric Analysis (2008-2025)
Subject area: Science,Engineering and Technology · Area of research: Cybersecurity and Artificial Intelligence
Abstract
This study presents a bibliometric assessment of existing research connecting cybersecurity and artificial intelligence. It explores leading authors, prominent journals, institutional affiliations, contributing countries, emerging themes, research trends, and patterns of international collaboration. Data were collected from the Web of Science database and initially 342 publications retrieved, after applying inclusion and exclusion criteria, 312 relevant records were extracted in BibTeX format for analysis. The Biblioshiny tool within the R-package facilitated the data examination. Results reveal a sharp growth in academic output on the intersection of cybersecurity and AI. Core keywords such as ?Cybersecurity,? ?Artificial Intelligence,? ?Machine Learning,? and ?Intrusion Detection? appeared most frequently. Among the contributors, Samtani S emerged as the most productive author, while the United States ranked highest in publication count, global citations, and collaborative efforts. The analysis further highlights major thematic areas and emerging topics. Overall, this study offers valuable insights into the evolving research landscape of cybersecurity and AI, helping scholars identify influential contributors and address ongoing challenges in mitigating cyber threats.
Keywords
Cybersecurity, Artificial Intelligence (AI), ?Machine Learning?, Bibliometric studies, Biblioshiny web tool.
References
[1] J. G. Carrasco Ramírez and Md. M. Islam, “Utilizing Artificial Intelligence in Real-World Applications,” JAIGS, vol. 2, no. 1, pp. 14–19, Feb. 2024, doi: 10.60087/jaigs.v2i1.p19.
[2] O.S.Albahri andA. H. Al Amoodi, “CybersecurityandArtificial Intelligence Applications: A Bibliometric Analysis Based on Scopus Database,” Mesopotamian Journal of CyberSecurity, vol. 2023, pp. 158–169, Sept. 2023, doi: 10.58496/MJCSC/2023/018. [Crossref]
[3] P. R. Makawana and R. H. Jhaveri, “A Bibliometric Analysis of Recent Research on Machine Learning for Cyber Security,” in Intelligent Communication and Computational Technologies, vol. 19, Y.-C. Hu, S. Tiwari, K. K. Mishra, and M. C. Trivedi, Eds., in Lecture Notes in Networks and Systems, vol. 19. , Singapore: Springer Singapore, 2018, pp. 213–226. doi: 10.1007/978-981-10-5523-2_20.
[4] A. Awasthi and N. Goel, “An Approach for Efficient and Accurate Phishing Website Prediction Using Improved ML Classifier Performance for Feature Selection,” IJERR, vol. 40, no. Spl Volume, pp. 73–89, June 2024, doi: 10.52756/ijerr.2024.v40spl.006. [Crossref]
[5] A. Chetry and U. Sharma, “Anonymity in decentralized apps: Study of implications for cybercrime investigations,” IJERR, vol. 32, pp.195–205,Aug.2023, doi:10.52756/ijerr.2023.v32.017. [Crossref]
[6] P. Khurana, S. Narula, N. Tiwari, R. Kapoor, and M. Arora, “Mapping the Cybersecurity Research: A Comprehensive Bibliometric Analysis,” IJERR, vol. 46, pp. 202–211, Dec. 2024, doi: 10.52756/ijerr.2024.v46.016.
[7] Taj, Amreen., Vyas, A. & Kumar, A. (2024). Interdisciplinary Research on the Metaverse: General and Library Perspectives on Bibliometric Insights. International Journal of Social Impact, 9(1), 222- 242. DIP: 18.02.024/20240901,DOI: 10.25215/2455/0901024
[8] Subaveerapandiyan A, Taj, Amreen & Aravind R. Nair (2025): Advancing Open Science: A Bibliometric Study of Scholarly Metadata Research (1995–2024), Science & Technology Libraries, DOI:
[9] 10.1080/0194262X.2025.2517089
[10] I. Cojocaru and I. Cojocaru, “A bibliomeric analysis of cybersecurity research papers in Eastern Europe: Case study from the Republic of Moldova,” ocg, vol. 335, pp. 151–162, Mar.2022, doi: 10.24989/ocg.v335.12 [Crossref]
How to cite this paper
@article{1711220,
author = {Hafza Tarannum},
title = {Mapping Global Research Trends in Cybersecurity and Artificial Intelligence: A Bibliometric Analysis (2008-2025)},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {4},
pages = {685-689},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1711220.pdf},
abstract = {This study presents a bibliometric assessment of existing research connecting cybersecurity and artificial intelligence. It explores leading authors, prominent journals, institutional affiliations, contributing countries, emerging themes, research trends, and patterns of international collaboration. Data were collected from the Web of Science database and initially 342 publications retrieved, after applying inclusion and exclusion criteria, 312 relevant records were extracted in BibTeX format for analysis. The Biblioshiny tool within the R-package facilitated the data examination. Results reveal a sharp growth in academic output on the intersection of cybersecurity and AI. Core keywords such as ?Cybersecurity,? ?Artificial Intelligence,? ?Machine Learning,? and ?Intrusion Detection? appeared most frequently. Among the contributors, Samtani S emerged as the most productive author, while the United States ranked highest in publication count, global citations, and collaborative efforts. The analysis further highlights major thematic areas and emerging topics. Overall, this study offers valuable insights into the evolving research landscape of cybersecurity and AI, helping scholars identify influential contributors and address ongoing challenges in mitigating cyber threats.},
keywords = {Cybersecurity, Artificial Intelligence (AI), ?Machine Learning?, Bibliometric studies, Biblioshiny web tool.},
month = {October},
}