Francesco Petitta
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Control and Systems Engineering top 10%
- Numerical Analysis
- Co-authors
- Francescantonio OlivaLuigi OrsinaTommaso LeonoriAugusto C. PonceAlessio PorrettaDaniela GiachettiSergio Segura de LeónPedro J. Martínez−Aparicio
- Topics
- Nonlinear Partial Differential Equations (27 papers)Advanced Mathematical Modeling in Engineering (26 papers)Numerical methods in inverse problems (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Differential EquationsJournal of Functional Analysis
In The Last Decade
Francesco Petitta
28 papers receiving 463 citations
Peers
Comparison fields: 5 of 19
- Applied Mathematics 437
- Computational Theory and Mathematics 430
- Mathematical Physics 246
- Control and Systems Engineering 76
- Numerical Analysis 31
Countries citing papers authored by Francesco Petitta
This map shows the geographic impact of Francesco Petitta'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 Petitta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Petitta more than expected).
Fields of papers citing papers by Francesco Petitta
This network shows the impact of papers produced by Francesco Petitta. 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 Petitta. The network helps show where Francesco Petitta may publish in the future.
Co-authorship network of co-authors of Francesco Petitta
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Petitta. A scholar is included among the top collaborators of Francesco Petitta 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 Petitta. Francesco Petitta 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 48 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 24 | |
| 10 | 21 | |
| 11 | 11 | |
| 12 | 42 | |
| 13 | 73 | |
| 14 | Large time behavior for solutions of nonlinear parabolic problems with sign-changing measure data | 8 |
| 15 | 18 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 28 | |
| 19 | 11 | |
| 20 | NONLINEAR PARABOLIC EQUATIONS WITH GENERAL MEASURE DATA | 7 |
About Francesco Petitta
Francesco Petitta is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 30 papers that have together received 492 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (27 papers), Advanced Mathematical Modeling in Engineering (26 papers) and Numerical methods in inverse problems (13 papers). The work is most often cited by research in Applied Mathematics (437 citations), Mathematical Physics (246 citations) and Computational Theory and Mathematics (430 citations). Francesco Petitta has collaborated with scholars based in Italy, Spain and Norway. Frequent co-authors include Francescantonio Oliva, Luigi Orsina, Tommaso Leonori, Augusto C. Ponce, Alessio Porretta, Daniela Giachetti, Sergio Segura de León, Pedro J. Martínez−Aparicio, David Arcoya and José Carmona. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Differential Equations and Journal of Functional 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.