F. Marchesoni

580 citations
22 papers · 481 · h-index 12

Impact in

Papers in

F. Marchesoni

22 papers receiving 469 citations

Peers

F. Marchesoni
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 402
  • Computer Networks and Communications 187
  • Statistics, Probability and Uncertainty 53
  • Condensed Matter Physics 54
  • Global and Planetary Change 91
Replace Mangal C. Mahato with:
Mangal C. Mahato India
S. M. Soskin United Kingdom
F. Marchesoni Italy
J. G. Kissner United Kingdom
José Gómez-Ordóñez Spain
Sergio E. Mangioni Argentina
N. D. Stein United Kingdom
Luchun Du China
V. E. Shapiro Canada
V. Berdichevsky Israel
F. Marchesoni relative to Mangal C. Mahato India Mangal C. Mahato's profile →
Citations per field
00.5×1.5×
Mangal C. Mahato · 1×
Citations per year

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).

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.

Co-authors

The 24 scholars most cited alongside F. Marchesoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Marchesoni Line = papers co-authored together F. Marchesoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199770
2 199058
3 200255
4 200550
5 201548
6 200138
7 198829
8 200725
9 201020
10 199818
11 198918
12 199514
13 200910
14 19865
15 19894
16 20034
17 20094
18 20073
19 19893
20 19893

About F. Marchesoni

F. Marchesoni is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Materials Chemistry and Biomedical Engineering, 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), Nonlinear Dynamics and Pattern Formation (6 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Mechanical and Optical Resonators (3 papers), Material Dynamics and Properties (2 papers), Glass properties and applications (2 papers) and Statistical Mechanics and Entropy (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (402 citations), Computer Networks and Communications (187 citations), Statistics, Probability and Uncertainty (53 citations), Condensed Matter Physics (54 citations) and Global and Planetary Change (91 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 The European Physical Journal B, Physics Letters A, Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters and Europhysics Letters (EPL).

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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