Mario Peruggia

32 papers and 264 indexed citations i.

About

Mario Peruggia is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mario Peruggia has authored 32 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Mario Peruggia’s work include Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (9 papers) and Statistical Methods and Inference (9 papers). Mario Peruggia is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (9 papers) and Statistical Methods and Inference (9 papers). Mario Peruggia collaborates with scholars based in United States, Italy and Switzerland. Mario Peruggia's co-authors include Steven N. MacEachern, Jason C. Hsu, Trisha Van Zandt, Peter F. Craigmile, Thomas J. Santner, Ilenia Epifani, Robert H. Diamond, Lynn A. D’Andrea, Paul M. Suratt and Michael L. Johnson and has published in prestigious journals such as Journal of the American Statistical Association, PEDIATRICS and Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Mario Peruggia i

Fields of papers citing papers by Mario Peruggia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Peruggia

Since Specialization
Citations

This map shows the geographic impact of Mario Peruggia'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 Mario Peruggia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Peruggia 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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2025