Italo Capuzzo-Dolcetta
- Computational Theory and Mathematics top 0.5%
- Applied Mathematics top 0.5%
- Control and Systems Engineering top 2%
- Finance top 1%
- Numerical Analysis top 2%
- Co-authors
- Martino BardiYves AchdouPierre‐Louis LionsHenri BerestyckiLouis NirenbergFabio CamilliAntonio VitoloFabiana Leoni
- Topics
- Nonlinear Partial Differential Equations (4 papers)Stochastic processes and financial applications (4 papers)Advanced Mathematical Modeling in Engineering (3 papers)
- Journals
- SIAM Journal on Numerical AnalysisTransactions of the American Mathematical SocietySIAM Journal on Control and Optimization
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Italo Capuzzo-Dolcetta
11 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computational Theory and Mathematics 975
- Applied Mathematics 743
- Control and Systems Engineering 584
- Finance 508
- Numerical Analysis 349
Countries citing papers authored by Italo Capuzzo-Dolcetta
This map shows the geographic impact of Italo Capuzzo-Dolcetta'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 Italo Capuzzo-Dolcetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Italo Capuzzo-Dolcetta more than expected).
Fields of papers citing papers by Italo Capuzzo-Dolcetta
This network shows the impact of papers produced by Italo Capuzzo-Dolcetta. 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 Italo Capuzzo-Dolcetta. The network helps show where Italo Capuzzo-Dolcetta may publish in the future.
Co-authorship network of co-authors of Italo Capuzzo-Dolcetta
This figure shows the co-authorship network connecting the top 25 collaborators of Italo Capuzzo-Dolcetta. A scholar is included among the top collaborators of Italo Capuzzo-Dolcetta 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 Italo Capuzzo-Dolcetta. Italo Capuzzo-Dolcetta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 122 | |
| 3 | 210 | |
| 4 | 4 | |
| 5 | 32 | |
| 6 | 52 | |
| 7 | Optimal Control and Viscosity Solutions of Hamilton-Jacobi-Bellman Equationsbreakdown → | 1667 |
| 8 | 180 | |
| 9 | Problèmes elliptiques indéfinis et théorèmes de Liouville non linéaires. | 1 |
| 10 | 158 | |
| 11 | Hamilton-Jacobi Equations and State-Constraints Problems | 6 |
About Italo Capuzzo-Dolcetta
Italo Capuzzo-Dolcetta is a scholar working on Applied Mathematics, Finance and Mathematical Physics, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (4 papers), Stochastic processes and financial applications (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Applied Mathematics (743 citations), Numerical Analysis (349 citations) and Modeling and Simulation (292 citations). Italo Capuzzo-Dolcetta has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Martino Bardi, Yves Achdou, Pierre‐Louis Lions, Henri Berestycki, Louis Nirenberg, Fabio Camilli, Antonio Vitolo, Fabiana Leoni and H. Berestycki. Their work appears in journals such as SIAM Journal on Numerical Analysis, Transactions of the American Mathematical Society and SIAM Journal on Control and Optimization.
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.