Mapping Global Research Trends in Cybersecurity and Artificial Intelligence: A Bibliometric Analysis (2008-2025)
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.
Citations
IRE Journals:
Hafza Tarannum
"Mapping Global Research Trends in Cybersecurity and Artificial Intelligence: A Bibliometric Analysis (2008-2025)" Iconic Research And Engineering Journals Volume 9 Issue 4 2025 Page 685-689
IEEE:
Hafza Tarannum
"Mapping Global Research Trends in Cybersecurity and Artificial Intelligence: A Bibliometric Analysis (2008-2025)" Iconic Research And Engineering Journals, 9(4)
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