Errico Presutti
- Mathematical Physics top 2%
- Condensed Matter Physics top 5%
- Statistics and Probability top 2%
- Statistical and Nonlinear Physics top 5%
- Materials Chemistry
- Co-authors
- Anna De MasiJoel L. LebowitzHerbert SpohnEnza OrlandiM. CassandroLorenzo BertiniCristian GiardinàMario Pulvirenti
- Topics
- Stochastic processes and statistical mechanics (31 papers)Theoretical and Computational Physics (30 papers)Markov Chains and Monte Carlo Methods (11 papers)
- Journals
- Communications in Mathematical PhysicsLecture notes in mathematicsPhysica D Nonlinear Phenomena
- Partner nations
- ItalyUnited StatesBrazil
In The Last Decade
Errico Presutti
39 papers receiving 713 citations
Peers
Comparison fields: 5 of 62
- Mathematical Physics 457
- Condensed Matter Physics 412
- Statistics and Probability 217
- Statistical and Nonlinear Physics 211
- Materials Chemistry 99
Countries citing papers authored by Errico Presutti
This map shows the geographic impact of Errico Presutti'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 Errico Presutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Errico Presutti more than expected).
Fields of papers citing papers by Errico Presutti
This network shows the impact of papers produced by Errico Presutti. 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 Errico Presutti. The network helps show where Errico Presutti may publish in the future.
Co-authorship network of co-authors of Errico Presutti
This figure shows the co-authorship network connecting the top 25 collaborators of Errico Presutti. A scholar is included among the top collaborators of Errico Presutti 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 Errico Presutti. Errico Presutti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 18 | |
| 7 | 62 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 163 | |
| 14 | 42 | |
| 15 | 86 | |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 94 | |
| 20 | 25 |
About Errico Presutti
Errico Presutti is a scholar working on Mathematical Physics, Condensed Matter Physics and Statistics and Probability, having authored 40 papers that have together received 766 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (31 papers), Theoretical and Computational Physics (30 papers) and Markov Chains and Monte Carlo Methods (11 papers). The work is most often cited by research in Mathematical Physics (457 citations), Condensed Matter Physics (412 citations) and Statistics and Probability (217 citations). Errico Presutti has collaborated with scholars based in Italy, United States and Brazil. Frequent co-authors include Anna De Masi, Joel L. Lebowitz, Herbert Spohn, Enza Orlandi, M. Cassandro, Lorenzo Bertini, Cristian Giardinà, Mario Pulvirenti, Antonio Galves and B. Tirozzi. Their work appears in journals such as Communications in Mathematical Physics, Lecture notes in mathematics and Physica D Nonlinear Phenomena.
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.