Fabio Cecconi

2.0k citations
76 papers · 1.4k indexed · h-index 21

Fabio Cecconi

75 papers receiving 1.4k citations

Peers

Fabio Cecconi
Comparison fields: 5 of 124
  • Statistical and Nonlinear Physics 403
  • Condensed Matter Physics 203
  • Biomedical Engineering 452
  • Physical and Theoretical Chemistry 89
  • Computational Mechanics 187
Replace Leonardo Dagdug with:
Leonardo Dagdug Mexico
Mario Markus Germany
Aleksandar Donev United States
M. Malek Mansour Belgium
Andreas Mayer Germany
Gabriel Stoltz France
Alessandro Sarracino Italy
Marcin Kostur Poland
Jean Pierre Boon Belgium
V. Yu. Zitserman Russia
Fabio Cecconi relative to Leonardo Dagdug Mexico Leonardo Dagdug's profile →
Citations per field
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Leonardo Dagdug · 1×
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-authorship network

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
#Work
1 20253
2 20232
3 20235
4 202211
5 20225
6 202217
7 202122
8 202071
9 202012
10 20202
11 202019
12 202028
13 202021
14 20193
15 201918
16 201811
17 201515
18 201413
19 20086
20
The origin of diffusion: the case of non-chaotic systems
200321

About Fabio Cecconi

Fabio Cecconi is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Computational Mechanics, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (19 papers), Protein Structure and Dynamics (11 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Theoretical and Computational Physics (9 papers), Ion-surface interactions and analysis (9 papers), Quantum chaos and dynamical systems (7 papers), Material Dynamics and Properties (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (403 citations), Condensed Matter Physics (203 citations) and Biomedical Engineering (452 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, Amos Maritan, Ryuji Kawano and Raffaella Burioni. Their work appears in journals such as Physical Review Letters, The Journal of Physical Chemistry B, Journal of Physics Condensed Matter, Proteins Structure Function and Bioinformatics and Physical Review Research.

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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