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Between 2000 and 2025, this study conducted a bibliometric analysis of 3,024 research articles on intelligent agents, drawn from 973 publications indexed in SCOPUS, Web of Science, and OpenAlex. The review used targeted keywords around multi-agent systems, AI, machine learning, and autonomous decision-making. After filtering, the selected corpus revealed a strong annual growth in publications [12.95%] and an average of 11.03 citations per paper—showing rising interest and impact in the field. While international collaboration is still limited [18.68% co-authorship], the study maps key authors, trending topics, and uncovers major research gaps. Notably, it opens the door for integrating lean manufacturing principles into agentic AI research, offering a strategic direction for future work.

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Intelligent Agents and Multi-agent Systems – A Quantitative Review Through Bibliometric Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Mohamed El Amine M’rani Alaoui,
  • Anna Burduk

摘要

Between 2000 and 2025, this study conducted a bibliometric analysis of 3,024 research articles on intelligent agents, drawn from 973 publications indexed in SCOPUS, Web of Science, and OpenAlex. The review used targeted keywords around multi-agent systems, AI, machine learning, and autonomous decision-making. After filtering, the selected corpus revealed a strong annual growth in publications [12.95%] and an average of 11.03 citations per paper—showing rising interest and impact in the field. While international collaboration is still limited [18.68% co-authorship], the study maps key authors, trending topics, and uncovers major research gaps. Notably, it opens the door for integrating lean manufacturing principles into agentic AI research, offering a strategic direction for future work.