<![CDATA[This study provides a systematic bibliometric review of risk and uncertainty in financial management decision-making, mapping the intellectual structure, collaborative networks, and thematic evolution of this research domain. A quantitative bibliometric approach is employed using 688 articles indexed in the Scopus database. VOSviewer software is applied to conduct co-authorship mapping (authors and countries) and co-occurrence analysis The analysis reveals that research on risk and uncertainty has expanded significantly, supported by extensive international collaborative networks. Three dominant thematic clusters emerge: risk management and investment decisions, behavioral finance and cognitive biases, and the integration of uncertainty with analytical and technological approaches. The integration of artificial intelligence represents an evolving research hotspot. The findings provide researchers and practitioners with a structured roadmap of the field, identifying high-impact collaboration opportunities and understudied thematic intersections that warrant future empirical investigation. This study offers the first holistic bibliometric review that simultaneously maps the knowledge structure, scientific collaboration patterns, thematic clusters, and future research directions in risk and uncertainty within financial management decision-making.]]>
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