Davide Torlo

445 citations
30 papers · 314 · h-index 11

Impact in

    • Numerical methods for differential equations
    • Computational Fluid Dynamics and Aerodynamics
    • Advanced Numerical Methods in Computational Mathematics
    • Fluid Dynamics and Turbulent Flows

Papers in

    • Computational Fluid Dynamics and Aerodynamics 19
    • Advanced Numerical Methods in Computational Mathematics 14
    • Fluid Dynamics and Vibration Analysis 3
    • Fluid Dynamics and Turbulent Flows 3
    • Numerical methods for differential equations 11

Davide Torlo

27 papers receiving 298 citations

Peers

Davide Torlo
Comparison fields: 5 of 31
  • Numerical Analysis 109
  • Computational Mechanics 216
  • Statistical and Nonlinear Physics 90
  • Statistics, Probability and Uncertainty 42
  • Modeling and Simulation 18
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Monika Neda United States
Carolina Cardoso Manica United States
Murtazo Nazarov Sweden
Pieter David Boom Canada
Julia Charrier France
Rodolfo A. Araya Chile
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Citations per field
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Citations per year

Countries citing papers authored by Davide Torlo

Since Specialization
Citations

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

Fields of papers citing papers by Davide Torlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Davide Torlo, 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 Davide Torlo Line = papers co-authored together Davide Torlo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202229
3 202124
4 202024
5 201822
6 201820
7 202219
8 202318
9 202218
10 202214
11 202312
12 202311
13 20229
14 20237
15 20237
16 20187
17 20237
18 20246
19 20255
20 20224

About Davide Torlo

Davide Torlo is a scholar working on Computational Mechanics, Numerical Analysis, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Modeling and Simulation, having authored 30 papers that have together received 314 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (19 papers), Advanced Numerical Methods in Computational Mathematics (14 papers), Model Reduction and Neural Networks (11 papers), Numerical methods for differential equations (11 papers), Probabilistic and Robust Engineering Design (4 papers), Fluid Dynamics and Vibration Analysis (3 papers), Meteorological Phenomena and Simulations (3 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Numerical Analysis (109 citations), Computational Mechanics (216 citations), Statistical and Nonlinear Physics (90 citations), Statistics, Probability and Uncertainty (42 citations) and Modeling and Simulation (18 citations). Davide Torlo has collaborated with scholars based in Italy, France and Switzerland. Frequent co-authors include Philipp Öffner, Rémi Abgrall, Mario Ricchiuto, Gianluigi Rozza, Francesco Ballarin, Elena Gaburro, Svetlana A. Tokareva, Hendrik Ranocha, Walter Boscheri and Sajad Salavatidezfouli. Their work appears in journals such as Journal of Scientific Computing, Applied Numerical Mathematics, Computers & Mathematics with Applications, Applied Mathematics and Computation and Computers & Fluids.

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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