Veronica Umanità

27 papers and 332 indexed citations i.

About

Veronica Umanità is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistics and Probability. According to data from OpenAlex, Veronica Umanità has authored 27 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 16 papers in Atomic and Molecular Physics, and Optics and 10 papers in Statistics and Probability. Recurrent topics in Veronica Umanità’s work include Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (9 papers) and Quantum many-body systems (9 papers). Veronica Umanità is often cited by papers focused on Quantum Information and Cryptography (15 papers), Quantum Mechanics and Applications (9 papers) and Quantum many-body systems (9 papers). Veronica Umanità collaborates with scholars based in Italy and China. Veronica Umanità's co-authors include Franco Fagnola, Ernesto De Vito, Raffaella Carbone, Alessandro Toigo, Claudio Carmeli, Silvia Villa and Giulio Chiribella and has published in prestigious journals such as Communications in Mathematical Physics, Journal of Mathematical Physics and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Veronica Umanità i

Fields of papers citing papers by Veronica Umanità

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Veronica Umanità

Since Specialization
Citations

This map shows the geographic impact of Veronica Umanità'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 Veronica Umanità with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Umanità 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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2025