A comprehensive bibliometric analysis of Big Data and Cyber Security: intellectual structure, trends, and global collaborations

Abstract The rapid growth of the big data ecosystem and the increasing complexity of cyber threats need a thorough examination of research at the intersection of these two domains. This study conducts a multidimensional bibliometric analysis within the framework of the keywords “Big Data” and “Cybersecurity” based on 3354 publications published in the Web of Science Core Collection database between 1975 and 2025. Structures such as document kinds, trends in publication and citation, most influential studies, clusters of keywords, collaboration networks, country and institution contributions, and discipline distribution were all thoroughly examined as part of the investigation. The results indicate that conference proceedings constitute the predominant document type, with China and the USA leading in publication and impact. Authors like Kim-Kwang Raymond Choo exhibit significant influence, and collaboration networks are predominantly clustered in Asia and North America. In addition, conceptual clusters obtained from abstracts define the Big Data–Cybersecurity relationship in terms of data privacy, intrusion detection, and IoT integration. This study both makes structural gaps in the literature visible and provides guiding insights for researchers, practitioners, and policymakers.