Miguel A. Arcones

59 papers and 1.2k indexed citations i.

About

Miguel A. Arcones is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Miguel A. Arcones has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 29 papers in Finance and 18 papers in Artificial Intelligence. Recurrent topics in Miguel A. Arcones’s work include Statistical Methods and Inference (34 papers), Stochastic processes and financial applications (21 papers) and Bayesian Methods and Mixture Models (17 papers). Miguel A. Arcones is often cited by papers focused on Statistical Methods and Inference (34 papers), Stochastic processes and financial applications (21 papers) and Bayesian Methods and Mixture Models (17 papers). Miguel A. Arcones collaborates with scholars based in United States and China. Miguel A. Arcones's co-authors include Evarist Giné, Bin Yu, Francisco J. Samaniego, Zhiqiang Chen, Paul H. Kvam, Hengjian Cui and Yijun Zuo and has published in prestigious journals such as Journal of the American Statistical Association, The Annals of Statistics and The Annals of Probability.

In The Last Decade

Co-authorship network of co-authors of Miguel A. Arcones i

Fields of papers citing papers by Miguel A. Arcones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Arcones. 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 Miguel A. Arcones. The network helps show where Miguel A. Arcones may publish in the future.

Countries citing papers authored by Miguel A. Arcones

Since Specialization
Citations

This map shows the geographic impact of Miguel A. Arcones'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 Miguel A. Arcones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel A. Arcones 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025