Simone Pezzuto

1.1k citations
41 papers · 638 · h-index 14

Impact in

Papers in

Simone Pezzuto

38 papers receiving 627 citations

Peers

Simone Pezzuto
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 394
  • Statistics, Probability and Uncertainty 39
  • Statistical and Nonlinear Physics 67
  • Modeling and Simulation 23
  • Biomedical Engineering 195
Replace Radomí­r Chabiniok with:
Radomí­r Chabiniok United Kingdom
Robert Cimrman Czechia
Roy C. P. Kerckhoffs United States
Robert Blake United States
Pasquale Claudio Africa Italy
Phani Chinchapatnam United Kingdom
Caroline H. Roney United Kingdom
Matteo Salvador Italy
Fijoy Vadakkumpadan United States
Jatin Relan France
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Citations per field
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Radomí­r Chabiniok · 1×
Citations per year

Countries citing papers authored by Simone Pezzuto

Since Specialization
Citations

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

Fields of papers citing papers by Simone Pezzuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011106
2 201753
3 202048
4 201438
5 201736
6 201833
7 202031
8 201531
9 202228
10 202324
11 201518
12 201418
13 202116
14 202114
15 201813
16 202013
17 201912
18 201911
19 202311
20 202210

About Simone Pezzuto

Simone Pezzuto is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics and Control and Systems Engineering, having authored 41 papers that have together received 638 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (20 papers), Atrial Fibrillation Management and Outcomes (11 papers), Cardiac Arrhythmias and Treatments (9 papers), Cardiovascular Function and Risk Factors (7 papers), Elasticity and Material Modeling (7 papers), ECG Monitoring and Analysis (5 papers), Advanced MRI Techniques and Applications (4 papers) and Model Reduction and Neural Networks (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (394 citations), Statistics, Probability and Uncertainty (39 citations), Statistical and Nonlinear Physics (67 citations), Modeling and Simulation (23 citations) and Biomedical Engineering (195 citations). Simone Pezzuto has collaborated with scholars based in Switzerland, Italy and Netherlands. Frequent co-authors include D. Ambrosi, Rolf Krause, Angelo Auricchio, Mark Potse, Paris Perdikaris, Francisco Sahli Costabal, Alfio Quarteroni, Thomas Grandits, Ali Gharaviri and Triantafyllos Stylianopoulos. Their work appears in journals such as EP Europace, International Journal for Numerical Methods in Biomedical Engineering, Frontiers in Physiology, Medical Image Analysis and Journal of Elasticity.

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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