Saverio Salzo

15 papers and 250 indexed citations i.

About

Saverio Salzo is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Saverio Salzo has authored 15 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 6 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Saverio Salzo’s work include Sparse and Compressive Sensing Techniques (8 papers), Optimization and Variational Analysis (5 papers) and Inverse Problems in Mathematical Physics and Imaging (4 papers). Saverio Salzo is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Optimization and Variational Analysis (5 papers) and Inverse Problems in Mathematical Physics and Imaging (4 papers). Saverio Salzo collaborates with scholars based in Italy, United States and Belgium. Saverio Salzo's co-authors include Silvia Villa, Alessandro Verri, Luca Baldassarre, Massimiliano Pontil, Luca Franceschi, Patrick L. Combettes, Riccardo Grazzi, Paolo Frasconi, Carlo Ciliberto and Annalisa Barla and has published in prestigious journals such as Neural Computation, Mathematical Programming and SIAM Journal on Optimization.

In The Last Decade

Co-authorship network of co-authors of Saverio Salzo i

Fields of papers citing papers by Saverio Salzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Saverio Salzo

Since Specialization
Citations

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).

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.

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