Roberto Cavoretto

79 papers receiving 1.1k citations

Peers

Roberto Cavoretto
Comparison fields: 5 of 84
  • Modeling and Simulation 166
  • Numerical Analysis 171
  • Computational Mechanics 508
  • Mechanics of Materials 576
  • Statistical and Nonlinear Physics 186
Replace Alessandra De Rossi with:
Alessandra De Rossi Italy
Tzon‐Tzer Lu Taiwan
W. R. Madych United States
Marco Vianello Italy
Leevan Ling Hong Kong
Alvise Sommariva Italy
Rob Stevenson Netherlands
Stig Larsson Sweden
Scott A. Sarra United States
F. L. Chernousko Russia
Roberto Cavoretto relative to Alessandra De Rossi Italy Alessandra De Rossi's profile →
Citations per field
00.5×1.5×1.8×
Alessandra De Rossi · 1×
Citations per year

Countries citing papers authored by Roberto Cavoretto

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Cavoretto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 201745
3 201444
4 201643
5 201843
6 201442
7 202036
8 201635
9 202132
10 201731
11 201030
12 201830
13 201930
14 201529
15 201228
16 202127
17 201927
18 201126
19 201325
20 201823

About Roberto Cavoretto

Roberto Cavoretto is a scholar working on Computational Mechanics, Mechanics of Materials, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Numerical methods in engineering (36 papers), Advanced Numerical Analysis Techniques (35 papers), Advanced Numerical Methods in Computational Mathematics (20 papers), Electromagnetic Scattering and Analysis (9 papers), Medical Image Segmentation Techniques (8 papers), Model Reduction and Neural Networks (8 papers), Electromagnetic Simulation and Numerical Methods (8 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Modeling and Simulation (166 citations), Numerical Analysis (171 citations), Computational Mechanics (508 citations), Mechanics of Materials (576 citations) and Statistical and Nonlinear Physics (186 citations). Roberto Cavoretto has collaborated with scholars based in Italy, Switzerland and Iran. Frequent co-authors include Alessandra De Rossi, Emma Perracchione, Giampietro Allasia, Yaroslav D. Sergeyev, Marat S. Mukhametzhanov, Ezio Venturino, Gregory E. Fasshauer, Michael McCourt, Francesco Dell’Accio and Teseo Schneider. Their work appears in journals such as Journal of Computational and Applied Mathematics, Applied Mathematics and Computation, Journal of Scientific Computing, Computers & Mathematics with Applications and Applied Mathematics Letters.

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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