Mapping the Research Landscape of Agentic Artificial Intelligence: A Bibliometric Analysis of Scopus Publications
Pages:
5-26Keywords:
Agentic AI, AI Agents, Large Language Models, Bibliometric Analysis, Science Mapping, ScopusAbstract
Context: Agentic Artificial Intelligence (Agentic AI) is rapidly emerging as a major research paradigm in which artificial intelligence systems move beyond response generation toward autonomous, goal-directed reasoning, planning, tool use, memory, adaptation, and multi-agent collaboration. The rapid expansion and disciplinary fragmentation of this literature create a need for systematic mapping of its research landscape.
Aim: This study maps the global development, scholarly influence, geographical distribution, and collaboration patterns of Agentic AI research during 2023–2026.
Approach: A bibliometric and science-mapping analysis was conducted using Scopus publications retrieved on 1 July 2026. Following systematic screening and duplicate removal, 3,425 publications were analyzed using Biblioshiny.
Key Findings: Agentic AI exhibited an annual growth rate of 215.04%, with 9,166 authors contributing across 1,015 sources. Conference papers dominated the corpus (2,654), reflecting the field’s rapidly evolving technological character. China and the United States were the leading corresponding-author countries, while Tsinghua University was the most productive affiliation. Citation analysis identified several highly influential foundational studies.
Interpretation: The findings indicate that Agentic AI is developing rapidly into a distinct, collaborative, and increasingly established research domain centered on autonomous and coordinated AI systems.
Contribution: This study provides a broad Scopus-based quantitative map of contemporary Agentic AI scholarship and identifies emerging priorities for evaluation, multi-agent coordination, security, explainability, human–AI collaboration, and governance.
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Data Availability Statement
The bibliographic data analyzed in this study were retrieved from the Scopus database on 1 July 2026. The analyzed data may be made available by the author upon reasonable request, subject to Scopus licensing and database-access conditions.
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