Francesco Salvarani
- Applied Mathematics top 2%
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 5%
- Mathematical Physics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Laurent BoudinLaurent DesvillettesRoberto MonacoJosé A. CarrilloEmmanuel FrénodÉric SonnendrückerPierre GabrielJuan Luís Vázquez
- Topics
- Gas Dynamics and Kinetic Theory (17 papers)Advanced Thermodynamics and Statistical Mechanics (11 papers)Advanced Mathematical Modeling in Engineering (11 papers)
- Journals
- Computer Physics CommunicationsJournal of Mathematical Analysis and ApplicationsPhysica A Statistical Mechanics and its Applications
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Francesco Salvarani
48 papers receiving 506 citations
Peers
Comparison fields: 5 of 68
- Applied Mathematics 261
- Statistical and Nonlinear Physics 212
- Computational Mechanics 165
- Mathematical Physics 103
- Computational Theory and Mathematics 85
Countries citing papers authored by Francesco Salvarani
This map shows the geographic impact of Francesco Salvarani'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 Francesco Salvarani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Salvarani more than expected).
Fields of papers citing papers by Francesco Salvarani
This network shows the impact of papers produced by Francesco Salvarani. 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 Francesco Salvarani. The network helps show where Francesco Salvarani may publish in the future.
Co-authorship network of co-authors of Francesco Salvarani
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Salvarani. A scholar is included among the top collaborators of Francesco Salvarani 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 Francesco Salvarani. Francesco Salvarani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 15 | |
| 14 | 42 | |
| 15 | 25 | |
| 16 | 2 | |
| 17 | 31 | |
| 18 | 3 | |
| 19 | A kinetic approach to dust coagulation | 1 |
| 20 | 1 |
About Francesco Salvarani
Francesco Salvarani is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 51 papers that have together received 540 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (17 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers) and Advanced Mathematical Modeling in Engineering (11 papers). The work is most often cited by research in Applied Mathematics (261 citations), Statistical and Nonlinear Physics (212 citations) and Modeling and Simulation (57 citations). Francesco Salvarani has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Laurent Boudin, Laurent Desvillettes, Roberto Monaco, José A. Carrillo, Emmanuel Frénod, Éric Sonnendrücker, Pierre Gabriel, Juan Luís Vázquez, Florian De Vuyst and Gabriel Turinici. Their work appears in journals such as Computer Physics Communications, Journal of Mathematical Analysis and Applications and Physica A Statistical Mechanics and its Applications.
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.