The robustness of interdependent networks is critical to the stability of vital infrastructures, including power grids, transportation, and communication systems, all of which underpin global security, economic continuity, and societal resilience. Increasing disruptions caused by natural disasters, cyberattacks, and systemic risks underscore the need for research into enhancing the robustness of these networks. This paper presents a bibliometric analysis of 4,627 publications from 2007 to 2023, conducted using CiteSpace software to uncover key trends, influential studies, and emerging research areas in the field of interdependent network robustness. The analysis examines publication trends, core authors, leading research institutions, core journals, and highly cited papers, highlighting significant advancements in theoretical models, empirical findings, and applications for improving network resilience. Moreover, keyword co-occurrence, clustering, and burst detection analyses reveal new research directions, such as the study of cascading failures and the integration of artificial intelligence in enhancing network robustness. These findings provide a roadmap for future research, offering valuable insights for addressing the challenges of ensuring the robustness of increasingly complex and interdependent systems.

Jian Xue, Xu Guo. A Bibliometric Review of Research on the Robustness of Interdependent Networks. Academic Journal of Computing & Information Science (2024), Vol. 7, Issue 10: 105-118. https://doi.org/10.25236/AJCIS.2024.071015.

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