Corrado Mascia
- Applied Mathematics top 1%
- Mathematical Physics top 5%
- Computational Mechanics top 5%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Kevin ZumbrunAndrea TerracinaRoberto NataliniAlessio PorrettaCorrado LattanzioDenis SerreCarlo SinestrariAlberto Tesei
- Topics
- Navier-Stokes equation solutions (17 papers)Advanced Mathematical Modeling in Engineering (14 papers)Advanced Mathematical Physics Problems (12 papers)
- Journals
- Communications on Pure and Applied MathematicsJournal of Mathematical Analysis and ApplicationsPhysica D Nonlinear Phenomena
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Corrado Mascia
35 papers receiving 545 citations
Peers
Comparison fields: 5 of 54
- Applied Mathematics 435
- Mathematical Physics 269
- Computational Mechanics 263
- Control and Systems Engineering 126
- Computational Theory and Mathematics 114
Countries citing papers authored by Corrado Mascia
This map shows the geographic impact of Corrado Mascia'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 Corrado Mascia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corrado Mascia more than expected).
Fields of papers citing papers by Corrado Mascia
This network shows the impact of papers produced by Corrado Mascia. 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 Corrado Mascia. The network helps show where Corrado Mascia may publish in the future.
Co-authorship network of co-authors of Corrado Mascia
This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Mascia. A scholar is included among the top collaborators of Corrado Mascia 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 Corrado Mascia. Corrado Mascia 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 68 | |
| 14 | 5 | |
| 15 | 60 | |
| 16 | 9 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | 15 | |
| 20 | 28 |
About Corrado Mascia
Corrado Mascia is a scholar working on Applied Mathematics, Mathematical Physics and Modeling and Simulation, having authored 39 papers that have together received 597 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (17 papers), Advanced Mathematical Modeling in Engineering (14 papers) and Advanced Mathematical Physics Problems (12 papers). The work is most often cited by research in Applied Mathematics (435 citations), Mathematical Physics (269 citations) and Computational Mechanics (263 citations). Corrado Mascia has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Kevin Zumbrun, Andrea Terracina, Roberto Natalini, Alessio Porretta, Corrado Lattanzio, Denis Serre, Carlo Sinestrari, Alberto Tesei, Pauline Lafitte and Elaine Crooks. Their work appears in journals such as Communications on Pure and Applied Mathematics, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.
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.