Aldo Procacci

28 papers receiving 235 citations

Peers

Aldo Procacci
Comparison fields: 5 of 38
  • Discrete Mathematics and Combinatorics 73
  • Mathematical Physics 80
  • Condensed Matter Physics 93
  • Statistics and Probability 53
  • Computational Theory and Mathematics 84
Replace David Cimasoni with:
David Cimasoni Switzerland
Arvind Ayyer India
J. G. Wan Australia
Wei-Kuo Chen United States
Andreas Strömbergsson Sweden
P. A. B. Pleasants Australia
A. Khorunzhy Ukraine
Philippe Nadeau France
F. Redig Netherlands
Christian Skau Norway
Aldo Procacci relative to David Cimasoni Switzerland David Cimasoni's profile →
Citations per field
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David Cimasoni · 1×
Citations per year

Countries citing papers authored by Aldo Procacci

Since Specialization
Citations

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

Fields of papers citing papers by Aldo Procacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Aldo Procacci, 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 Aldo Procacci Line = papers co-authored together Aldo Procacci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199452
2 201129
3 201228
4 200718
5 201116
6 201212
7 199811
8 200111
9 19999
10 19998
11 20077
12 20046
13 20205
14 20005
15 20054
16
Infrared analysis of the tridimensional Gross-Neveu model : Pointwise bounds for the effective potential
19993
17 20023
18 20153
19 20133
20 19973

About Aldo Procacci

Aldo Procacci is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 36 papers that have together received 252 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (16 papers), Stochastic processes and statistical mechanics (12 papers), Markov Chains and Monte Carlo Methods (6 papers), Limits and Structures in Graph Theory (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Advanced Graph Theory Research (4 papers), Advanced Combinatorial Mathematics (4 papers) and Graph theory and applications (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (73 citations), Mathematical Physics (80 citations), Condensed Matter Physics (93 citations), Statistics and Probability (53 citations) and Computational Theory and Mathematics (84 citations). Aldo Procacci has collaborated with scholars based in Brazil, Italy and France. Frequent co-authors include Benedetto Scoppola, Roberto Fernández, G. Benfatto, Giovanni Gallavotti, Julia Böttcher, Emmanuel Pereira, Yoshiharu Kohayakawa, Bill Jackson, Alan D. Sokal and A. Mazel. Their work appears in journals such as Journal of Statistical Physics, Letters in Mathematical Physics, Communications on Pure & Applied Analysis, Annales Henri Poincaré and Communications in Mathematical Physics.

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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