F. Marchesoni

22 papers and 479 indexed citations i.

About

F. Marchesoni is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, F. Marchesoni has authored 22 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 10 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computer Networks and Communications. Recurrent topics in F. Marchesoni’s work include stochastic dynamics and bifurcation (13 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). F. Marchesoni is often cited by papers focused on stochastic dynamics and bifurcation (13 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). F. Marchesoni collaborates with scholars based in Italy, Germany and United States. F. Marchesoni's co-authors include M. Borromeo, L. Gammaitoni, S. Santucci, Giulio Costantini, E. Menichella-Saetta, H. Risken, Pulak K. Ghosh, Gerhard Schmid, Peter Hänggi and Yunyun Li and has published in prestigious journals such as Physical Review Letters, Materials Science and Engineering A and Computer Physics Communications.

In The Last Decade

Co-authorship network of co-authors of F. Marchesoni i

Fields of papers citing papers by F. Marchesoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by F. Marchesoni

Since Specialization
Citations

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