Mauro Piccioni

44 papers and 584 indexed citations i.

About

Mauro Piccioni is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Mauro Piccioni has authored 44 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 12 papers in Finance. Recurrent topics in Mauro Piccioni’s work include Markov Chains and Monte Carlo Methods (13 papers), Stochastic processes and financial applications (10 papers) and Stochastic processes and statistical mechanics (9 papers). Mauro Piccioni is often cited by papers focused on Markov Chains and Monte Carlo Methods (13 papers), Stochastic processes and financial applications (10 papers) and Stochastic processes and statistical mechanics (9 papers). Mauro Piccioni collaborates with scholars based in Italy, France and United States. Mauro Piccioni's co-authors include Yali Amit, Ulf Grenander, Alfredo Germani, Sergio Scarlatti, Arnoldo Frigessi, Piero Barone, John H. Elton, Neal Madras, Paolo Baldi and Gérard Letac and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Mauro Piccioni i

Fields of papers citing papers by Mauro Piccioni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mauro Piccioni. 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 Mauro Piccioni. The network helps show where Mauro Piccioni may publish in the future.

Countries citing papers authored by Mauro Piccioni

Since Specialization
Citations

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