Saverio Salzo
- Computational Mechanics top 5%
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Mathematical Physics top 10%
- Artificial Intelligence
- Co-authors
- Silvia VillaAlessandro VerriLuca BaldassarrePatrick L. CombettesAnnalisa BarlaJohan A. K. SuykensVladimir KostićMassimiliano Pontil
- Topics
- Sparse and Compressive Sensing Techniques (9 papers)Optimization and Variational Analysis (6 papers)Numerical methods in inverse problems (5 papers)
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Saverio Salzo
16 papers receiving 228 citations
Peers
Comparison fields: 5 of 48
- Computational Mechanics 178
- Numerical Analysis 100
- Computational Theory and Mathematics 98
- Mathematical Physics 93
- Artificial Intelligence 58
Countries citing papers authored by Saverio Salzo
This map shows the geographic impact of Saverio Salzo'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 Saverio Salzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saverio Salzo more than expected).
Fields of papers citing papers by Saverio Salzo
This network shows the impact of papers produced by Saverio Salzo. 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 Saverio Salzo. The network helps show where Saverio Salzo may publish in the future.
Co-authorship network of co-authors of Saverio Salzo
This figure shows the co-authorship network connecting the top 25 collaborators of Saverio Salzo. A scholar is included among the top collaborators of Saverio Salzo 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 Saverio Salzo. Saverio Salzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | On the Iteration Complexity of Hypergradient Computations | 1 |
| 7 | 9 | |
| 8 | Forward-Backward Splitting for Time-Varying Graphical Models. | 1 |
| 9 | Solving lp-norm regularization with tensor kernels | 1 |
| 10 | 33 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | A dictionary learning based method for aCGH segmentation | 2 |
| 14 | 117 | |
| 15 | 2 | |
| 16 | Inexact and accelerated proximal point algorithms | 36 |
| 17 | 22 |
About Saverio Salzo
Saverio Salzo is a scholar working on Computational Mathematics, Numerical Analysis and Mathematical Physics, having authored 17 papers that have together received 245 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Optimization and Variational Analysis (6 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Numerical Analysis (100 citations), Mathematical Physics (93 citations) and Computational Mechanics (178 citations). Saverio Salzo has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Silvia Villa, Alessandro Verri, Luca Baldassarre, Patrick L. Combettes, Annalisa Barla, Johan A. K. Suykens, Vladimir Kostić, Massimiliano Pontil, Luca Franceschi and Lorenzo Rosasco. Their work appears in journals such as Neural Computation, Mathematical Programming and SIAM Journal on Optimization.
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.