F. Marchesoni
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Atomic and Molecular Physics, and Optics
- Global and Planetary Change
- Molecular Biology
- Co-authors
- M. BorromeoL. GammaitoniS. SantucciGiulio CostantiniE. Menichella-SaettaH. RiskenPulak K. GhoshYunyun Li
- Topics
- stochastic dynamics and bifurcation (13 papers)Advanced Thermodynamics and Statistical Mechanics (9 papers)Spectroscopy and Quantum Chemical Studies (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsStatistics, Probability and Uncertainty
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
F. Marchesoni
22 papers receiving 469 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 402
- Computer Networks and Communications 187
- Atomic and Molecular Physics, and Optics 114
- Global and Planetary Change 91
- Molecular Biology 76
Countries citing papers authored by F. Marchesoni
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).
Fields of papers citing papers by F. Marchesoni
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.
Co-authorship network of co-authors of F. Marchesoni
This figure shows the co-authorship network connecting the top 25 collaborators of F. Marchesoni. A scholar is included among the top collaborators of F. Marchesoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Marchesoni. F. Marchesoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 50 | |
| 7 | 4 | |
| 8 | 55 | |
| 9 | 38 | |
| 10 | 18 | |
| 11 | 70 | |
| 12 | 1 | |
| 13 | 58 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | 29 | |
| 19 | 1 | |
| 20 | 5 |
About F. Marchesoni
F. Marchesoni is a scholar working on Statistical and Nonlinear Physics, Ceramics and Composites and Atomic and Molecular Physics, and Optics, having authored 22 papers that have together received 481 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (13 papers), Advanced Thermodynamics and Statistical Mechanics (9 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (402 citations), Computer Networks and Communications (187 citations) and Statistics, Probability and Uncertainty (53 citations). F. Marchesoni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include M. Borromeo, L. Gammaitoni, S. Santucci, Giulio Costantini, E. Menichella-Saetta, H. Risken, Pulak K. Ghosh, Yunyun Li, Gerhard Schmid and Peter Hänggi. Their work appears in journals such as Physical Review Letters, Materials Science and Engineering A and Computer Physics Communications.
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.