Victor de la Peña

16 papers and 350 indexed citations i.

About

Victor de la Peña is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Victor de la Peña has authored 16 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 5 papers in Finance. Recurrent topics in Victor de la Peña’s work include Financial Risk and Volatility Modeling (4 papers), Probability and Risk Models (3 papers) and Bayesian Methods and Mixture Models (2 papers). Victor de la Peña is often cited by papers focused on Financial Risk and Volatility Modeling (4 papers), Probability and Risk Models (3 papers) and Bayesian Methods and Mixture Models (2 papers). Victor de la Peña collaborates with scholars based in United States, Norway and Taiwan. Victor de la Peña's co-authors include Evarist Giné, Lorán Chollete, Patrick McDonald, Guodong Pang, Henryk Gzyl, Ying Liu, Tian Zheng, Upmanu Lall, Mark Brown and Tze Leung Lai and has published in prestigious journals such as Journal of Banking & Finance, Proceedings of the American Mathematical Society and Journal of Applied Probability.

In The Last Decade

Co-authorship network of co-authors of Victor de la Peña i

Fields of papers citing papers by Victor de la Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor de la Peña. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Victor de la Peña. The network helps show where Victor de la Peña may publish in the future.

Countries citing papers authored by Victor de la Peña

Since Specialization
Citations

This map shows the geographic impact of Victor de la Peña's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Victor de la Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor de la Peña more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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