Simone Fagioli
- Modeling and Simulation top 5%
- Applied Mathematics top 5%
- Public Health, Environmental and Occupational Health
- Control and Systems Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Marco Di FrancescoMassimiliano D. RosiniAntonio EspositoJosé A. CarrilloFilippo SantambrogioOliver TseGiovanni RussoMaria Bruna
- Topics
- Mathematical Biology Tumor Growth (8 papers)Nonlinear Partial Differential Equations (4 papers)Advanced Mathematical Modeling in Engineering (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Differential EquationsNonlinear Analysis
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Simone Fagioli
14 papers receiving 197 citations
Peers
Comparison fields: 5 of 42
- Modeling and Simulation 95
- Applied Mathematics 66
- Public Health, Environmental and Occupational Health 53
- Control and Systems Engineering 48
- Computational Theory and Mathematics 42
Countries citing papers authored by Simone Fagioli
This map shows the geographic impact of Simone Fagioli'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 Simone Fagioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Fagioli more than expected).
Fields of papers citing papers by Simone Fagioli
This network shows the impact of papers produced by Simone Fagioli. 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 Simone Fagioli. The network helps show where Simone Fagioli may publish in the future.
Co-authorship network of co-authors of Simone Fagioli
This figure shows the co-authorship network connecting the top 25 collaborators of Simone Fagioli. A scholar is included among the top collaborators of Simone Fagioli 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 Simone Fagioli. Simone Fagioli 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 | 0 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 21 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 23 | |
| 16 | 53 |
About Simone Fagioli
Simone Fagioli is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics, having authored 16 papers that have together received 209 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (8 papers), Nonlinear Partial Differential Equations (4 papers) and Advanced Mathematical Modeling in Engineering (4 papers). The work is most often cited by research in Modeling and Simulation (95 citations), Applied Mathematics (66 citations) and Mathematical Physics (30 citations). Simone Fagioli has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Marco Di Francesco, Massimiliano D. Rosini, Antonio Esposito, José A. Carrillo, Filippo Santambrogio, Oliver Tse, Giovanni Russo, Maria Bruna and Luigi C. Berselli. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Differential Equations and Nonlinear Analysis.
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.