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Author

Rick Acosta-Vega

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Open access Aug 2026

Mapping AI and Data-Driven Research in Financial and Risk Analytics Using LDA and HJ-Biplot: A Bibliometric-Computational Framework

The rapid convergence of artificial intelligence, machine learning, and financial and risk analytics has produced a large and fragmented body of scientific literature, making it difficult to identify its thematic structure and evolutionary trends. This study addresses that gap by proposing a bibliometric-computational...

Lois Soto, Sofia Romero, Rick K. Acosta-Vega · 0 citations
Open access Aug 2026

Game Theory in Artificial Intelligence and Machine Learning: An Integrated Computational Framework Based on Bibliometrics, Topic Modeling, and HJ-Biplot

Game Theory provides a foundation for multi-agent systems, reinforcement learning, mechanism design, and adversarial learning within AI and ML. Nevertheless, few comprehensive studies map the structure and branches of this cross-disciplinary field. The current research attempts to fill this gap by providing a combined...

Juan Reales-Barragán, Javier De La Hoz-Maestre, Rick K. Acosta-Vega · 0 citations

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