Pietro Caputo

949 citations
50 papers · 350 · h-index 11

Impact in

Papers in

Pietro Caputo

48 papers receiving 330 citations

Peers

Pietro Caputo
Comparison fields: 5 of 36
  • Statistics and Probability 267
  • Mathematical Physics 233
  • Discrete Mathematics and Combinatorics 31
  • Condensed Matter Physics 77
  • Statistical and Nonlinear Physics 62
Replace Benedek Valkó with:
Benedek Valkó United States
Gábor Pete Hungary
Martin Zerner Germany
Asaf Nachmias United States
Nicolas Broutin France
Hideki Tanemura Japan
Balázs Ráth Hungary
Eugene Lytvynov United Kingdom
Ágoston Pisztora United States
Nina Gantert Germany
Pietro Caputo relative to Benedek Valkó United States Benedek Valkó's profile →
Citations per field
00.5×2.9×
Benedek Valkó · 1×
Citations per year

Countries citing papers authored by Pietro Caputo

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Caputo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200931
2 201423
3 200520
4 201420
5 201119
6 200816
7 201614
8 201814
9 200312
10 201911
11 200610
12 20219
13 20059
14 20039
15 20218
16 20128
17 20208
18 20218
19 20237
20 20027

About Pietro Caputo

Pietro Caputo is a scholar working on Statistics and Probability, Mathematical Physics, Condensed Matter Physics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 50 papers that have together received 350 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (33 papers), Markov Chains and Monte Carlo Methods (31 papers), Theoretical and Computational Physics (17 papers), Random Matrices and Applications (14 papers), Bayesian Methods and Mixture Models (4 papers), Diffusion and Search Dynamics (3 papers), Graph theory and applications (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Statistics and Probability (267 citations), Mathematical Physics (233 citations), Discrete Mathematics and Combinatorics (31 citations), Condensed Matter Physics (77 citations) and Statistical and Nonlinear Physics (62 citations). Pietro Caputo has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Charles Bordenave, Fabio Martinelli, Paolo Dai Pra, Fabio Lucio Toninelli, Djalil Chafaï, Daniel R. Parisi, Alessandra Faggionato, Alistair Sinclair, Eric Vigoda and Konstantin Tikhomirov. Their work appears in journals such as Electronic Journal of Probability, The Annals of Probability, Communications in Mathematical Physics, The Annals of Applied Probability and Probability Theory and Related Fields.

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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