Simone Brugiapaglia
- Computational Mechanics
- Statistics, Probability and Uncertainty top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Co-authors
- Ben AdcockClayton WebsterStefano MichelettiSimona PerottoFabio NobileTim HoheiselNick DexterÖzgür Yılmaz
- Topics
- Sparse and Compressive Sensing Techniques (8 papers)Probabilistic and Robust Engineering Design (4 papers)Microwave Imaging and Scattering Analysis (3 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingMathematics of Computation
- Partner nations
- CanadaItalyUnited States
In The Last Decade
Simone Brugiapaglia
15 papers receiving 95 citations
Peers
Comparison fields: 5 of 31
- Computational Mechanics 57
- Statistics, Probability and Uncertainty 20
- Biomedical Engineering 19
- Computer Vision and Pattern Recognition 18
- Computational Theory and Mathematics 18
Countries citing papers authored by Simone Brugiapaglia
This map shows the geographic impact of Simone Brugiapaglia'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 Simone Brugiapaglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Brugiapaglia more than expected).
Fields of papers citing papers by Simone Brugiapaglia
This network shows the impact of papers produced by Simone Brugiapaglia. 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 Simone Brugiapaglia. The network helps show where Simone Brugiapaglia may publish in the future.
Co-authorship network of co-authors of Simone Brugiapaglia
This figure shows the co-authorship network connecting the top 25 collaborators of Simone Brugiapaglia. A scholar is included among the top collaborators of Simone Brugiapaglia 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 Simone Brugiapaglia. Simone Brugiapaglia 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 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 16 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | Polynomial approximation of high-dimensional functions via compressed sensing | 1 |
| 16 | 7 | |
| 17 | 6 |
About Simone Brugiapaglia
Simone Brugiapaglia is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Mathematical Physics, having authored 17 papers that have together received 101 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (8 papers), Probabilistic and Robust Engineering Design (4 papers) and Microwave Imaging and Scattering Analysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (20 citations), Computational Mechanics (57 citations) and Numerical Analysis (10 citations). Simone Brugiapaglia has collaborated with scholars based in Canada, Italy and United States. Frequent co-authors include Ben Adcock, Clayton Webster, Stefano Micheletti, Simona Perotto, Fabio Nobile, Tim Hoheisel, Nick Dexter, Özgür Yılmaz, Yaniv Plan and Lorenzo Tamellini. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Mathematics of Computation.
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.