S. Vallecorsa

56 papers and 594 indexed citations i.

About

S. Vallecorsa is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, S. Vallecorsa has authored 56 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 19 papers in Nuclear and High Energy Physics and 14 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in S. Vallecorsa’s work include Quantum Computing Algorithms and Architecture (32 papers), Particle physics theoretical and experimental studies (18 papers) and Quantum Information and Cryptography (17 papers). S. Vallecorsa is often cited by papers focused on Quantum Computing Algorithms and Architecture (32 papers), Particle physics theoretical and experimental studies (18 papers) and Quantum Information and Cryptography (17 papers). S. Vallecorsa collaborates with scholars based in Switzerland, United States and Italy. S. Vallecorsa's co-authors include Michele Grossi, Federico Carminati, Jean-Roch Vlimant, Elías F. Combarro, W. Guan, K. Terashi, Maria Schuld, Arthur Pesah, Gabriel Perdue and Maura Sassetti and has published in prestigious journals such as IEEE Access, New Journal of Physics and Physical review. B..

In The Last Decade

Co-authorship network of co-authors of S. Vallecorsa i

Fields of papers citing papers by S. Vallecorsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Vallecorsa. 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 S. Vallecorsa. The network helps show where S. Vallecorsa may publish in the future.

Countries citing papers authored by S. Vallecorsa

Since Specialization
Citations

This map shows the geographic impact of S. Vallecorsa'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 S. Vallecorsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Vallecorsa 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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