Fabio Cecconi

2.1k citations
79 papers · 1.5k · h-index 22

Impact in

Papers in

Fabio Cecconi

78 papers receiving 1.5k citations

Peers

Fabio Cecconi
Comparison fields: 5 of 129
  • Statistical and Nonlinear Physics 445
  • Condensed Matter Physics 219
  • Biomedical Engineering 473
  • Physical and Theoretical Chemistry 92
  • Modeling and Simulation 42
Replace Leonardo Dagdug with:
Leonardo Dagdug Mexico
John C. Neu United States
F. Baras France
M. Malek Mansour Belgium
Alessandro Sarracino Italy
Gabriel Stoltz France
Van Kampen
Édgar Roldán Italy
Jean Pierre Boon Belgium
Andreas Mayer Germany
Fabio Cecconi relative to Leonardo Dagdug Mexico Leonardo Dagdug's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fabio Cecconi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Cecconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabio Cecconi, 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 Fabio Cecconi Line = papers co-authored together Fabio Cecconi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009136
2 200983
3 202077
4 200565
5 201860
6 200859
7 200453
8 201751
9 201646
10 201241
11 201537
12 200134
13 200934
14 201534
15 202031
16 200330
17 200426
18 202124
19
The origin of diffusion: the case of non-chaotic systems
200323
20 201222

About Fabio Cecconi

Fabio Cecconi is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Biomedical Engineering, Computational Mechanics and Condensed Matter Physics, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (19 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Protein Structure and Dynamics (11 papers), Ion-surface interactions and analysis (9 papers), Theoretical and Computational Physics (9 papers), Quantum chaos and dynamical systems (7 papers), Material Dynamics and Properties (6 papers) and Particle Dynamics in Fluid Flows (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (445 citations), Condensed Matter Physics (219 citations), Biomedical Engineering (473 citations), Physical and Theoretical Chemistry (92 citations) and Modeling and Simulation (42 citations). Fabio Cecconi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Angelo Vulpiani, Mauro Chinappi, Massimo Cencini, Umberto Marini Bettolo Marconi, Andrea Puglisi, Lorenzo Caprini, Roberto Livi, Ryuji Kawano, Amos Maritan and Carlo Guardiani. Their work appears in journals such as Physical Review Letters, The Journal of Physical Chemistry B, Journal of Physics Condensed Matter, The Journal of Chemical Physics and Proteins Structure Function and Bioinformatics.

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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