Silvia Villa

37 papers and 455 indexed citations i.

About

Silvia Villa is a scholar working on Computational Mechanics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Silvia Villa has authored 37 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 18 papers in Mathematical Physics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Silvia Villa’s work include Sparse and Compressive Sensing Techniques (22 papers), Inverse Problems in Mathematical Physics and Imaging (18 papers) and Optimization and Variational Analysis (10 papers). Silvia Villa is often cited by papers focused on Sparse and Compressive Sensing Techniques (22 papers), Inverse Problems in Mathematical Physics and Imaging (18 papers) and Optimization and Variational Analysis (10 papers). Silvia Villa collaborates with scholars based in Italy, United States and France. Silvia Villa's co-authors include Lorenzo Rosasco, Alessandro Verri, Saverio Salzo, Luca Baldassarre, Bắng Công Vũ, Sofia Mosci, Veronica Umanità, Ernesto De Vito, Matteo Santoro and Patrick L. Combettes and has published in prestigious journals such as Mathematical Programming, Journal of Machine Learning Research and Numerische Mathematik.

In The Last Decade

Co-authorship network of co-authors of Silvia Villa i

Fields of papers citing papers by Silvia Villa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Silvia Villa

Since Specialization
Citations

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).

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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