Mapping the Intellectual Structure of Overconfidence Research Through Global Scientific Collaboration and Bibliometric Network Analysis

Retnoning Ambarwati; Muhammad Sultan; Darsono

doi:10.55927/mudima.v6i10.141

Authors

Retnoning Ambarwati Universitas Tunas Pembangunan (UTP) Surakarta
Muhammad Sultan Universitas Tunas Pembangunan (UTP) Surakarta
Darsono Universitas Tunas Pembangunan (UTP) Surakarta

DOI:

https://doi.org/10.55927/mudima.v6i10.141

Keywords:

Overconfidence · Behavioral finance · Bibliometric analysis · Scientific mapping · Global collaboration · Citation network

Abstract

This study aims to map the intellectual structure, scientific development, and global collaboration patterns in research on overconfidence through a bibliometric approach. The study uses a quantitative-descriptive design with bibliometric analysis of scientific publications indexed in Scopus. Data were collected using the keyword "overconfidence," limited to journal article documents published between 2015 and 2026. The extracted metadata were analyzed using Bibliometrix via Biblioshiny, supported by VOSviewer for network visualization and scientific mapping. The analysis covers annual scientific production, international collaboration, author collaboration networks, citation structures, institutional productivity, and the evolution of thematic keywords. The findings show that research on overconfidence has seen significant growth and reached its highest publication intensity in the last decade, indicating the maturity of the field. Scientifically, publication productivity is dominated by the United States, the United Kingdom, Germany, China, and Australia, showing strong global scientific collaboration. Citation analysis identifies several highly influential works that form the intellectual foundation of the field. Keyword analysis shows that research on overconfidence has evolved from traditional investment behavior to contemporary themes like digital finance, cryptocurrency, financial literacy, and market uncertainty. This study contributes to the progress of behavioral finance by providing a comprehensive intellectual mapping of overconfidence research and identifying future research directions in the evolving financial environment.

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