Fabio Camilli
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Finance top 2%
- Stochastic processes and financial applications
Papers in
- Finance 29
- Stochastic processes and financial applications 29
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- Mathematical Biology Tumor Growth 18
- Co-authors
- Yves Achdou (6 shared papers)Italo Capuzzo-Dolcetta (2 shared papers)Lars Grüne (12 shared papers)Maurizio Falcone (5 shared papers)Fabian R. Wirth (10 shared papers)Antonio Siconolfi (7 shared papers)Emmanuel Prados (3 shared papers)Olivier D. Faugeras (2 shared papers)
In The Last Decade
Fabio Camilli
77 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 219
- Finance 302
- Numerical Analysis 174
- Applied Mathematics 291
- Computer Graphics and Computer-Aided Design 90
Countries citing papers authored by Fabio Camilli
This map shows the geographic impact of Fabio Camilli'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 Fabio Camilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Camilli more than expected).
Fields of papers citing papers by Fabio Camilli
This network shows the impact of papers produced by Fabio Camilli. 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 Fabio Camilli. The network helps show where Fabio Camilli may publish in the future.
Co-authors
The 24 scholars most cited alongside Fabio Camilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 147 | |
| 2 | 1995 | 95 | |
| 3 | 2013 | 73 | |
| 4 | 2001 | 71 | |
| 5 | 2012 | 49 | |
| 6 | 2006 | 46 | |
| 7 | 2008 | 44 | |
| 8 | 2012 | 34 | |
| 9 | 1999 | 32 | |
| 10 | 2003 | 26 | |
| 11 | 2007 | 25 | |
| 12 | 2012 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2012 | 21 | |
| 15 | 2008 | 20 | |
| 16 | 2009 | 20 | |
| 17 | 2007 | 19 | |
| 18 | 2006 | 19 | |
| 19 | 2000 | 17 | |
| 20 | 2003 | 16 |
About Fabio Camilli
Fabio Camilli is a scholar working on Finance, Modeling and Simulation, Applied Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (29 papers), Mathematical Biology Tumor Growth (18 papers), Stability and Controllability of Differential Equations (12 papers), Advanced Mathematical Modeling in Engineering (12 papers), Nonlinear Partial Differential Equations (12 papers), Optimization and Variational Analysis (11 papers), Numerical methods for differential equations (10 papers) and Advanced Numerical Methods in Computational Mathematics (9 papers). The work is most often cited by research in Modeling and Simulation (219 citations), Finance (302 citations), Numerical Analysis (174 citations), Applied Mathematics (291 citations) and Computer Graphics and Computer-Aided Design (90 citations). Fabio Camilli has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Yves Achdou, Italo Capuzzo-Dolcetta, Lars Grüne, Maurizio Falcone, Fabian R. Wirth, Antonio Siconolfi, Emmanuel Prados, Olivier D. Faugeras, Nicoletta Anna Tchou and Alessandra Cutrı̀. Their work appears in journals such as SIAM Journal on Control and Optimization, Networks and Heterogeneous Media, SIAM Journal on Numerical Analysis, Nonlinear Differential Equations and Applications NoDEA and Journal of Mathematical Analysis and 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.