Fabio Zucca

479 total citations
36 papers, 240 citations indexed

About

Fabio Zucca is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Fabio Zucca has authored 36 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mathematical Physics, 16 papers in Statistics and Probability and 12 papers in Condensed Matter Physics. Recurrent topics in Fabio Zucca's work include Stochastic processes and statistical mechanics (26 papers), Markov Chains and Monte Carlo Methods (13 papers) and Theoretical and Computational Physics (12 papers). Fabio Zucca is often cited by papers focused on Stochastic processes and statistical mechanics (26 papers), Markov Chains and Monte Carlo Methods (13 papers) and Theoretical and Computational Physics (12 papers). Fabio Zucca collaborates with scholars based in Italy, France and Cyprus. Fabio Zucca's co-authors include Daniela Bertacchi, Alberto Barchielli, Thierry Coulhon, Anna Maria Paganoni, Nicolas Lanchier, Fábio P. Machado, Roberto Ambrosini, Pablo M. Rodríguez and Jüri Lember and has published in prestigious journals such as Journal of Theoretical Biology, Journal of Statistical Physics and Journal of Applied Probability.

In The Last Decade

Fabio Zucca

32 papers receiving 230 citations

Peers

Fabio Zucca
Comparison fields: 5 of 31
  • Mathematical Physics 178
  • Statistics and Probability 103
  • Condensed Matter Physics 76
  • Statistical and Nonlinear Physics 38
  • Management Science and Operations Research 37
Replace Daniela Bertacchi with:
Daniela Bertacchi Italy
Vincent Bansaye France
Stanislav Volkov United Kingdom
Denis Villemonais France
Sylvie Rœlly France
Julien Berestycki France
Bálint Tóth Hungary
Alan Stacey United Kingdom
Anita Winter Germany
J. van den Berg Netherlands
Daniela Bertacchi Italy View profile →
Citations per field, relative to Fabio Zucca
Fabio Zucca · 1×
Citations per year, relative to Fabio Zucca
Fabio Zucca · 1×

Countries citing papers authored by Fabio Zucca

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Zucca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Zucca

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Zucca. A scholar is included among the top collaborators of Fabio Zucca 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 Fabio Zucca. Fabio Zucca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 9
6 1
7 4
8 2
9 6
10 6
11 1
12 16
13 3
14 11
15 1
16 29
17 16
18 4
19 3
20 21

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026