Маттео Далла Ріва
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Numerical Analysis top 10%
- Mechanics of Materials
- Co-authors
- Паоло МусоліноMassimo Lanza de CristoforisGennady MishurisSergei RogosinSemyon YakubovichMarc DambrineLuca FaesAlessandro Busacca
- Topics
- Advanced Mathematical Modeling in Engineering (34 papers)Numerical methods in inverse problems (19 papers)Differential Equations and Numerical Methods (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsJournal of Differential Equations
- Partner nations
- ItalyPortugalUnited States
In The Last Decade
Маттео Далла Ріва
35 papers receiving 234 citations
Peers
Comparison fields: 5 of 29
- Computational Theory and Mathematics 197
- Mathematical Physics 126
- Applied Mathematics 102
- Numerical Analysis 57
- Mechanics of Materials 56
Countries citing papers authored by Маттео Далла Ріва
This map shows the geographic impact of Маттео Далла Ріва'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 Маттео Далла Ріва with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Маттео Далла Ріва more than expected).
Fields of papers citing papers by Маттео Далла Ріва
This network shows the impact of papers produced by Маттео Далла Ріва. 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 Маттео Далла Ріва. The network helps show where Маттео Далла Ріва may publish in the future.
Co-authorship network of co-authors of Маттео Далла Ріва
This figure shows the co-authorship network connecting the top 25 collaborators of Маттео Далла Ріва. A scholar is included among the top collaborators of Маттео Далла Ріва 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 Маттео Далла Ріва. Маттео Далла Ріва is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 18 | |
| 13 | 10 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | Potential theoretic methods for the analysis of singularly perturbed problems in linearized elasticity | 3 |
About Маттео Далла Ріва
Маттео Далла Ріва is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Numerical Analysis, having authored 41 papers that have together received 250 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (34 papers), Numerical methods in inverse problems (19 papers) and Differential Equations and Numerical Methods (10 papers). The work is most often cited by research in Mathematical Physics (126 citations), Computational Theory and Mathematics (197 citations) and Numerical Analysis (57 citations). Маттео Далла Ріва has collaborated with scholars based in Italy, Portugal and United States. Frequent co-authors include Паоло Мусоліно, Massimo Lanza de Cristoforis, Gennady Mishuris, Sergei Rogosin, Semyon Yakubovich, Marc Dambrine, Luca Faes, Alessandro Busacca, Andrea Zaccaro and Francesca Ferri. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.
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.