Martino Bardi
- Computational Theory and Mathematics top 0.2%
- Applied Mathematics top 0.5%
- Control and Systems Engineering top 1%
- Finance top 1%
- Numerical Analysis top 2%
- Co-authors
- Italo Capuzzo-DolcettaOlivier AlvarezFrancesca Da LioL. C. EvansMaurizio FalconePierpaolo SoraviaAnnalisa CesaroniStanley Osher
- Topics
- Nonlinear Partial Differential Equations (22 papers)Advanced Mathematical Modeling in Engineering (21 papers)Stochastic processes and financial applications (19 papers)
In The Last Decade
Martino Bardi
57 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 1.2k
- Applied Mathematics 929
- Control and Systems Engineering 724
- Finance 568
- Numerical Analysis 419
Countries citing papers authored by Martino Bardi
This map shows the geographic impact of Martino Bardi'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 Martino Bardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martino Bardi more than expected).
Fields of papers citing papers by Martino Bardi
This network shows the impact of papers produced by Martino Bardi. 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 Martino Bardi. The network helps show where Martino Bardi may publish in the future.
Co-authorship network of co-authors of Martino Bardi
This figure shows the co-authorship network connecting the top 25 collaborators of Martino Bardi. A scholar is included among the top collaborators of Martino Bardi 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 Martino Bardi. Martino Bardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 94 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 46 | |
| 15 | Optimal Control and Viscosity Solutions of Hamilton-Jacobi-Bellman Equationsbreakdown → | 1667 |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 60 | |
| 19 | An asymptotic formula for the Green's function of an elliptic operator | 8 |
| 20 | 1 |
About Martino Bardi
Martino Bardi is a scholar working on Modeling and Simulation, Applied Mathematics and Finance, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (22 papers), Advanced Mathematical Modeling in Engineering (21 papers) and Stochastic processes and financial applications (19 papers). The work is most often cited by research in Applied Mathematics (929 citations), Modeling and Simulation (366 citations) and Computational Theory and Mathematics (1.2k citations). Martino Bardi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Italo Capuzzo-Dolcetta, Olivier Alvarez, Francesca Da Lio, L. C. Evans, Maurizio Falcone, Pierpaolo Soravia, Annalisa Cesaroni, Stanley Osher, Michael G. Crandall and H. Meté Soner. Their work appears in journals such as Communications on Pure and Applied Mathematics, Lecture notes in mathematics 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.