The combination of blockchain technology and agentic Artificial Intelligence (AI) holds great potential in the development of secure, advanced decentralized autonomous systems. This paper focuses on studies published between 2020 and mid-2025, with Scopus serving as the main database. Metadata was collected and processed with VOSviewer to analyze themes and map collaboration networks. The review indicates a gradual but clear increase in publications, with notable growth after 2020 and a peak in 2024. Among the most active outlets are IEEE and Springer. The analysis highlights three recurring directions: strengthening decentralized system security, developing intelligent blockchain frameworks, and enhancing energy efficiency. International collaboration, however, remains limited, with regional ties stronger than global integration. Although the scope is restricted to a single database and a relatively small sample of documents, the study offers a reliable overview of current research and suggests future directions on scalability, trust, and governance in secure agentic AI.

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Bibliometric Mapping of Blockchain Security in Agentic AI

  • Maha Hamdan Al Wahaibi,
  • Al Hola Hamed Al Rawahi,
  • Siham Saif Al Hinai

摘要

The combination of blockchain technology and agentic Artificial Intelligence (AI) holds great potential in the development of secure, advanced decentralized autonomous systems. This paper focuses on studies published between 2020 and mid-2025, with Scopus serving as the main database. Metadata was collected and processed with VOSviewer to analyze themes and map collaboration networks. The review indicates a gradual but clear increase in publications, with notable growth after 2020 and a peak in 2024. Among the most active outlets are IEEE and Springer. The analysis highlights three recurring directions: strengthening decentralized system security, developing intelligent blockchain frameworks, and enhancing energy efficiency. International collaboration, however, remains limited, with regional ties stronger than global integration. Although the scope is restricted to a single database and a relatively small sample of documents, the study offers a reliable overview of current research and suggests future directions on scalability, trust, and governance in secure agentic AI.