Ugo Bessi

32 papers and 300 indexed citations i.

About

Ugo Bessi is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, Ugo Bessi has authored 32 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 14 papers in Mathematical Physics and 14 papers in Geometry and Topology. Recurrent topics in Ugo Bessi’s work include Quantum chaos and dynamical systems (16 papers), Mathematical Dynamics and Fractals (9 papers) and Optimal Transport in Geometry and Analysis (8 papers). Ugo Bessi is often cited by papers focused on Quantum chaos and dynamical systems (16 papers), Mathematical Dynamics and Fractals (9 papers) and Optimal Transport in Geometry and Analysis (8 papers). Ugo Bessi collaborates with scholars based in Italy, France and United States. Ugo Bessi's co-authors include Vittorio Coti Zelati, Enrico Valdinoci, Luigi Chierchia, Antonio Ambrosetti and Patrick Bernard and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Advances in Mathematics.

In The Last Decade

Co-authorship network of co-authors of Ugo Bessi i

Fields of papers citing papers by Ugo Bessi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ugo Bessi

Since Specialization
Citations

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