Eugenio Regazzini

58 papers and 874 indexed citations i.

About

Eugenio Regazzini is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Eugenio Regazzini has authored 58 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 23 papers in Statistics and Probability and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Eugenio Regazzini’s work include Bayesian Methods and Mixture Models (19 papers), Statistical Mechanics and Entropy (10 papers) and Statistical Methods and Inference (8 papers). Eugenio Regazzini is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Statistical Mechanics and Entropy (10 papers) and Statistical Methods and Inference (8 papers). Eugenio Regazzini collaborates with scholars based in Italy, United States and Russia. Eugenio Regazzini's co-authors include Donato Michele Cifarelli, Antonio Lijoi, Igor Prünster, Ester Gabetta, Federico Bassetti, Pietro Rigo, Giulia Di Nunno, Alessandra Guglielmi, Patrizia Berti and Pier Luigi Conti and has published in prestigious journals such as The Annals of Statistics, Journal of Statistical Physics and PLoS neglected tropical diseases.

In The Last Decade

Co-authorship network of co-authors of Eugenio Regazzini i

Fields of papers citing papers by Eugenio Regazzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eugenio Regazzini

Since Specialization
Citations

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