A Bibliometric Mapping of Behavioral Finance Research and Decision-Making (2015-2025)

Behavioral finance has grown exponentially beyond classical biases into crises, digital assets, and sustainable investing, resulting in a fragmented literature that is difficult to synthesize into a narrative. This work presents a systematic bibliometric mapping of the intellectual, social and conceptual structures of the field. Based on 3,110 Q1 and Q2 articles indexed in Scopus between 2015 and 2025, we combine performance indicators with network analyses, using VOSviewer and the Bibliometrix R package. The analysis shows that there are six thematic groups: behavioral biases and decision-making, financial markets and crises, corporate governance and firm performance, digital finance and social commerce, technology and forecasting, and demographics and psychology. The international co-authorship is 76.17%, with intense collaboration in Asia, Europe, and North America. Although classical theories continue to hold a structurally central position, the field demonstrates a clear convergence with ESG investing, cryptocurrency markets, and financial behavior during the pandemic. The results reveal methodological monocultures and low cross-cluster connectivity, providing a data-driven basis for setting future research agenda priorities.