Mattia Cenedese
- Civil and Structural Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- George HallerKerstin AvilaFrancesco BraghinMelih EritenH. YangMatthew R. W. BrakeMarco PavoneKeegan J. Moore
- Topics
- Model Reduction and Neural Networks (8 papers)Structural Health Monitoring Techniques (5 papers)Probabilistic and Robust Engineering Design (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyCivil and Structural Engineering
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Mattia Cenedese
14 papers receiving 328 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Civil and Structural Engineering 148
- Statistical and Nonlinear Physics 139
- Control and Systems Engineering 81
- Biomedical Engineering 69
- Statistics, Probability and Uncertainty 68
Countries citing papers authored by Mattia Cenedese
This map shows the geographic impact of Mattia Cenedese'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 Mattia Cenedese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Cenedese more than expected).
Fields of papers citing papers by Mattia Cenedese
This network shows the impact of papers produced by Mattia Cenedese. 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 Mattia Cenedese. The network helps show where Mattia Cenedese may publish in the future.
Co-authorship network of co-authors of Mattia Cenedese
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Cenedese. A scholar is included among the top collaborators of Mattia Cenedese 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 Mattia Cenedese. Mattia Cenedese 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 | 0 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifoldsbreakdown → | 105 |
| 10 | 39 | |
| 11 | 32 | |
| 12 | 30 | |
| 13 | 23 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | 24 |
About Mattia Cenedese
Mattia Cenedese is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Civil and Structural Engineering, having authored 16 papers that have together received 339 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Structural Health Monitoring Techniques (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (139 citations), Statistics, Probability and Uncertainty (68 citations) and Civil and Structural Engineering (148 citations). Mattia Cenedese has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include George Haller, Kerstin Avila, Francesco Braghin, Melih Eriten, H. Yang, Matthew R. W. Brake, Marco Pavone, Keegan J. Moore, Wei Chen and Edward Schmerling. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.
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.