Roberto Molinaro
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Advanced Numerical Methods in Computational Mathematics
- Fluid Dynamics and Vibration Analysis
Papers in
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- Model Reduction and Neural Networks 8
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- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- Siddhartha Mishra (9 shared papers)D. Lakehal (2 shared papers)Chidambaram Narayanan (1 shared paper)Laura De Lorenzis (1 shared paper)E. Hosseini (1 shared paper)Roger Käppeli (1 shared paper)Emmanuel de Bézenac (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (2 papers)IMA Journal of Numerical Analysis (2 papers)Journal of Computational Mathematics (1 paper)SIAM Journal on Numerical Analysis (1 paper)Computers & Fluids (1 paper)
- Partner nations
- SwitzerlandNorwayUnited States
In The Last Decade
Roberto Molinaro
10 papers receiving 576 citations
Roberto Molinaro's Hit Papers
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 373
- Computational Mechanics 184
- Statistics, Probability and Uncertainty 49
- Artificial Intelligence 110
- Modeling and Simulation 15
Countries citing papers authored by Roberto Molinaro
This map shows the geographic impact of Roberto Molinaro'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 Roberto Molinaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Molinaro more than expected).
Fields of papers citing papers by Roberto Molinaro
This network shows the impact of papers produced by Roberto Molinaro. 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 Roberto Molinaro. The network helps show where Roberto Molinaro may publish in the future.
Co-authors
The 7 scholars most cited alongside Roberto Molinaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Estimates on the generalization error of physics-informed neural networks for approximating a class of inverse problems for PDEs Hit paper breakdown → | 2021 | 222 |
| 2 | 2021 | 108 | |
| 3 | 2021 | 93 | |
| 4 | 2020 | 48 | |
| 5 | 2024 | 39 | |
| 6 | 2023 | 33 | |
| 7 | 2024 | 23 | |
| 8 | 2021 | 16 | |
| 9 | Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating PDEs II: A class of inverse problems. | 2020 | 14 |
| 10 | 2020 | 3 | |
| 11 | 2024 | 0 |
About Roberto Molinaro
Roberto Molinaro is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Artificial Intelligence, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 11 papers that have together received 599 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Fluid Dynamics and Turbulent Flows (4 papers), Neural Networks and Applications (2 papers), Magnetic Properties and Applications (2 papers), Numerical methods in engineering (1 paper), Real-time simulation and control systems (1 paper), Heat Transfer Mechanisms (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (373 citations), Computational Mechanics (184 citations), Statistics, Probability and Uncertainty (49 citations), Artificial Intelligence (110 citations) and Modeling and Simulation (15 citations). Roberto Molinaro has collaborated with scholars based in Switzerland, Norway and United States. Frequent co-authors include Siddhartha Mishra, D. Lakehal, Chidambaram Narayanan, Laura De Lorenzis, E. Hosseini, Roger Käppeli and Emmanuel de Bézenac. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, IMA Journal of Numerical Analysis, Journal of Computational Mathematics, SIAM Journal on Numerical Analysis and Computers & Fluids.
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.