Silvia Villa
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Mathematical Physics top 5%
- Co-authors
- Lorenzo RosascoSaverio SalzoAlessandro VerriSofia MosciLuca BaldassarreMatteo SantoroBằng Công VũVeronica Umanità
- Topics
- Sparse and Compressive Sensing Techniques (26 papers)Numerical methods in inverse problems (21 papers)Optimization and Variational Analysis (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Machine Learning ResearchMathematical Programming
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Silvia Villa
42 papers receiving 534 citations
Peers
Comparison fields: 5 of 91
- Computational Mechanics 288
- Artificial Intelligence 164
- Computational Theory and Mathematics 139
- Numerical Analysis 126
- Mathematical Physics 125
Countries citing papers authored by Silvia Villa
This map shows the geographic impact of Silvia Villa'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 Silvia Villa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Villa more than expected).
Fields of papers citing papers by Silvia Villa
This network shows the impact of papers produced by Silvia Villa. 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 Silvia Villa. The network helps show where Silvia Villa may publish in the future.
Co-authorship network of co-authors of Silvia Villa
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Villa. A scholar is included among the top collaborators of Silvia Villa 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 Silvia Villa. Silvia Villa 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 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | Learning with incremental iterative regularization | 15 |
| 15 | 21 | |
| 16 | 3 | |
| 17 | A Regularization Approach to Nonlinear Variable Selection | 9 |
| 18 | A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | 29 |
| 19 | Generic well posedness in linear programming | 2 |
| 20 | 5 |
About Silvia Villa
Silvia Villa is a scholar working on Numerical Analysis, Mathematical Physics and Computational Mechanics, having authored 48 papers that have together received 564 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (26 papers), Numerical methods in inverse problems (21 papers) and Optimization and Variational Analysis (13 papers). The work is most often cited by research in Numerical Analysis (126 citations), Computational Mechanics (288 citations) and Mathematical Physics (125 citations). Silvia Villa has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Lorenzo Rosasco, Saverio Salzo, Alessandro Verri, Sofia Mosci, Luca Baldassarre, Matteo Santoro, Bằng Công Vũ, Veronica Umanità, Ernesto De Vito and Laura Levaggi. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Machine Learning Research and Mathematical Programming.
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.