Eugenio Regazzini
- Artificial Intelligence top 2%
- Statistics and Probability top 1%
- Mathematical Physics top 5%
- Management Science and Operations Research top 5%
- Applied Mathematics top 5%
- Co-authors
- Donato Michele CifarelliAntonio LijoiIgor PrünsterEster GabettaFederico BassettiPietro RigoPatrizia BertiAlessandra Guglielmi
- Topics
- Bayesian Methods and Mixture Models (22 papers)Statistical Mechanics and Entropy (9 papers)Financial Risk and Volatility Modeling (9 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Eugenio Regazzini
55 papers receiving 791 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 538
- Statistics and Probability 415
- Mathematical Physics 185
- Management Science and Operations Research 124
- Applied Mathematics 115
Countries citing papers authored by Eugenio Regazzini
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).
Fields of papers citing papers by Eugenio Regazzini
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.
Co-authorship network of co-authors of Eugenio Regazzini
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Regazzini. A scholar is included among the top collaborators of Eugenio Regazzini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugenio Regazzini. Eugenio Regazzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 31 | |
| 3 | Convergence to Equilibrium of the Solution of Kac's Kinetic Equation: A Probabilistic View | 1 |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | Asymptotic distribution and robustness of minimum total variation distance estimators | 1 |
| 9 | Probability and statistics in Italy during the First World War I: Cantelli and the laws of large numbers | 2 |
| 10 | Integration with respect to Brownian-like processes | 2 |
| 11 | 15 | |
| 12 | EXCHANGEABILITY, PREDICTIVE DISTRIBUTIONS AND PARAMETRIC MODELS* | 28 |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 42 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 75 | |
| 19 | 3 | |
| 20 | 0 |
About Eugenio Regazzini
Eugenio Regazzini is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 59 papers that have together received 873 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (22 papers), Statistical Mechanics and Entropy (9 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Statistics and Probability (415 citations), General Decision Sciences (47 citations) and Mathematical Physics (185 citations). Eugenio Regazzini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Donato Michele Cifarelli, Antonio Lijoi, Igor Prünster, Ester Gabetta, Federico Bassetti, Pietro Rigo, Patrizia Berti, Alessandra Guglielmi, Giulia Di Nunno and Antonella Bodini. Their work appears in journals such as The Annals of Statistics, PLoS neglected tropical diseases and Journal of Statistical Physics.
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.