L. Triolo

25 papers receiving 428 citations

Peers

L. Triolo
Comparison fields: 5 of 64
  • Mathematical Physics 206
  • Condensed Matter Physics 126
  • Applied Mathematics 110
  • Computational Theory and Mathematics 103
  • Statistics and Probability 53
Replace Enza Orlandi with:
Enza Orlandi Italy
Govind Menon United States
Wen Yang China
Hiroshi Tamura Japan
Alexander Elgart United States
Étienne Sandier France
Errico Presutti Italy
С. В. Шапошников Russia
U. Mosco Italy
Frédéric Poupaud France
L. Triolo relative to Enza Orlandi Italy Enza Orlandi's profile →
Citations per field
00.5×1.5×
Enza Orlandi · 1×
Citations per year

Countries citing papers authored by L. Triolo

Since Specialization
Citations

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

Fields of papers citing papers by L. Triolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199480
2 199458
3 196958
4 199339
5 198337
6 197027
7
Uniqueness of the instanton profile and globalstability in non local evolution equations
199426
8 198425
9 199622
10 198621
11 199719
12 197814
13 198811
14 199611
15 198810
16 20139
17 19708
18
The continuum reaction-diffusion limit of a stochastic cellular growth model
20046
19 19883
20 19773

About L. Triolo

L. Triolo is a scholar working on Mathematical Physics, Applied Mathematics, Condensed Matter Physics, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 496 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (7 papers), Theoretical and Computational Physics (5 papers), Gas Dynamics and Kinetic Theory (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Markov Chains and Monte Carlo Methods (4 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Mathematical Biology Tumor Growth (3 papers). The work is most often cited by research in Mathematical Physics (206 citations), Condensed Matter Physics (126 citations), Applied Mathematics (110 citations), Computational Theory and Mathematics (103 citations) and Statistics and Probability (53 citations). L. Triolo has collaborated with scholars based in Italy, Russia and Switzerland. Frequent co-authors include Enza Orlandi, Anna De Masi, E. Presutti, A. Pellegrinotti, M. Capitelli, F. Cramarossa, Elisa Molinari, C. Boldrighini, Carlo Borgianni and Mario Pulvirenti. Their work appears in journals such as Journal of Statistical Physics, Mathematical Methods in the Applied Sciences, Nonlinearity, Combustion and Flame and Proceedings of the Royal Society of Edinburgh Section A Mathematics.

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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