Davide Forti
- Computational Mechanics top 5%
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Computational Theory and Mathematics top 10%
- Mechanics of Materials
- Co-authors
- Alfio QuarteroniSimone DeparisLuca Dede’Gianluigi RozzaAlessandro MasciFilippo MenghiniPaola GervasioMartino Alessandrini
- Topics
- Advanced Numerical Methods in Computational Mathematics (10 papers)Elasticity and Material Modeling (6 papers)Computational Fluid Dynamics and Aerodynamics (3 papers)
- Journals
- Journal of Computational PhysicsJournal of Biomechanical EngineeringSIAM Journal on Scientific Computing
- Partner nations
- SwitzerlandItalyGermany
In The Last Decade
Davide Forti
15 papers receiving 305 citations
Peers
Comparison fields: 5 of 52
- Computational Mechanics 162
- Cardiology and Cardiovascular Medicine 97
- Biomedical Engineering 58
- Computational Theory and Mathematics 53
- Mechanics of Materials 51
Countries citing papers authored by Davide Forti
This map shows the geographic impact of Davide Forti'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 Davide Forti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Forti more than expected).
Fields of papers citing papers by Davide Forti
This network shows the impact of papers produced by Davide Forti. 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 Davide Forti. The network helps show where Davide Forti may publish in the future.
Co-authorship network of co-authors of Davide Forti
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Forti. A scholar is included among the top collaborators of Davide Forti 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 Davide Forti. Davide Forti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 39 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 70 | |
| 10 | 32 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 46 | |
| 14 | Comparison of shape parametrization techniques for fluid-structure interaction problems | 1 |
| 15 | Acute reversible hypofibrinogenemia without fibrinolysis during a porta caval shunt. | 1 |
About Davide Forti
Davide Forti is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design and Internal Medicine, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (10 papers), Elasticity and Material Modeling (6 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Computational Mechanics (162 citations), Numerical Analysis (26 citations) and Cardiology and Cardiovascular Medicine (97 citations). Davide Forti has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include Alfio Quarteroni, Simone Deparis, Luca Dede’, Gianluigi Rozza, Alessandro Masci, Filippo Menghini, Paola Gervasio, Martino Alessandrini, Corrado Tomasi and Cristiana Corsi. Their work appears in journals such as Journal of Computational Physics, Journal of Biomechanical Engineering and SIAM Journal on Scientific Computing.
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.