Simone Pezzuto

1.1k total citations
41 papers, 638 citations indexed

About

Simone Pezzuto is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Simone Pezzuto has authored 41 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cardiology and Cardiovascular Medicine, 10 papers in Biomedical Engineering and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Simone Pezzuto's work include Cardiac electrophysiology and arrhythmias (20 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac Arrhythmias and Treatments (9 papers). Simone Pezzuto is often cited by papers focused on Cardiac electrophysiology and arrhythmias (20 papers), Atrial Fibrillation Management and Outcomes (11 papers) and Cardiac Arrhythmias and Treatments (9 papers). Simone Pezzuto collaborates with scholars based in Switzerland, Italy and Netherlands. Simone Pezzuto's co-authors include D. Ambrosi, Rolf Krause, Angelo Auricchio, Mark Potse, Francisco Sahli Costabal, Paris Perdikaris, Alfio Quarteroni, Thomas Grandits, Ali Gharaviri and Ulrich Schotten and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Biomedical Engineering and Journal of the Mechanics and Physics of Solids.

In The Last Decade

Simone Pezzuto

38 papers receiving 627 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simone Pezzuto Switzerland 14 394 195 67 64 64 41 638
Radomí­r Chabiniok United Kingdom 15 644 1.6× 377 1.9× 49 0.7× 270 4.2× 21 0.3× 43 978
Robert Cimrman Czechia 13 186 0.5× 224 1.1× 15 0.2× 79 1.2× 19 0.3× 47 604
Robert Blake United States 8 835 2.1× 156 0.8× 26 0.4× 155 2.4× 6 0.1× 19 999
Pasquale Claudio Africa Italy 13 347 0.9× 141 0.7× 56 0.8× 79 1.2× 3 0.0× 22 543
Roy C. P. Kerckhoffs United States 18 1.1k 2.7× 518 2.7× 17 0.3× 142 2.2× 32 0.5× 29 1.3k
Caroline H. Roney United Kingdom 21 1.3k 3.3× 107 0.5× 30 0.4× 192 3.0× 2 0.0× 95 1.5k
Matteo Salvador Italy 14 313 0.8× 129 0.7× 77 1.1× 59 0.9× 30 491
Fijoy Vadakkumpadan United States 14 1.0k 2.7× 136 0.7× 16 0.2× 324 5.1× 2 0.0× 29 1.2k
Phani Chinchapatnam United Kingdom 15 532 1.4× 148 0.8× 21 0.3× 223 3.5× 31 928
Macarena Trujillo Spain 16 134 0.3× 380 1.9× 33 0.5× 139 2.2× 4 0.1× 61 754

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-authorship network of co-authors of Simone Pezzuto

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Pezzuto. A scholar is included among the top collaborators of Simone Pezzuto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Simone Pezzuto. Simone Pezzuto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pezzuto, Simone, et al.. (2025). Probabilistic learning of the Purkinje network from the electrocardiogram. Medical Image Analysis. 101. 103460–103460. 2 indexed citations
2.
Grandits, Thomas, Karli Gillette, Gernot Plank, & Simone Pezzuto. (2025). Accurate and efficient cardiac digital twin from surface ECGs: Insights into identifiability of ventricular conduction system. Medical Image Analysis. 105. 103641–103641. 2 indexed citations
3.
Azzolin, Luca, Martin Manninger, Douglas S. Scherr, et al.. (2024). Simulation-free prediction of atrial fibrillation inducibility with the fibrotic kernel signature. Medical Image Analysis. 99. 103375–103375.
4.
Grote, Marcus J., et al.. (2024). Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology. ESAIM. Mathematical modelling and numerical analysis. 58(6). 2225–2254. 1 indexed citations
5.
Costabal, Francisco Sahli, Simone Pezzuto, & Paris Perdikaris. (2023). Δ-PINNs: Physics-informed neural networks on complex geometries. Engineering Applications of Artificial Intelligence. 127. 107324–107324. 24 indexed citations
6.
Grandits, Thomas, et al.. (2023). Digital Twinning of Cardiac Electrophysiology Models From the Surface ECG: A Geodesic Backpropagation Approach. IEEE Transactions on Biomedical Engineering. 71(4). 1281–1288. 9 indexed citations
7.
Grandits, Thomas, et al.. (2022). Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Engineering With Computers. 38(5). 3957–3973. 1 indexed citations
8.
Grandits, Thomas, et al.. (2022). Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps. Institutional Research Information System (Università degli Studi di Trento). 28 indexed citations
9.
Grandits, Thomas, Simone Pezzuto, & Gernot Plank. (2022). Smoothness and continuity of cost functionals for ECG mismatch computation. Institutional Research Information System (Università degli Studi di Trento). 2 indexed citations
10.
Pezzuto, Simone, et al.. (2022). Fast Characterization of Inducible Regions of Atrial Fibrillation Models With Multi-Fidelity Gaussian Process Classification. Frontiers in Physiology. 13. 757159–757159. 10 indexed citations
11.
Pezzuto, Simone, et al.. (2021). Uncertainty Quantification for the 12-lead ECG: a Lead Field Approach.. arXiv (Cornell University). 3 indexed citations
12.
Krause, Rolf, et al.. (2021). Space–time shape uncertainties in the forward and inverse problem of electrocardiography. Institutional Research Information System (Università degli Studi di Trento). 7 indexed citations
13.
Grandits, Thomas, Simone Pezzuto, Francisco Sahli Costabal, et al.. (2021). Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. Institutional Research Information System (Università degli Studi di Trento). 16 indexed citations
14.
Gharaviri, Ali, Elham Bidar, Mark Potse, et al.. (2020). Epicardial Fibrosis Explains Increased Endo–Epicardial Dissociation and Epicardial Breakthroughs in Human Atrial Fibrillation. Frontiers in Physiology. 11. 68–68. 48 indexed citations
15.
Potse, Mark, Ali Gharaviri, Simone Pezzuto, et al.. (2018). Anatomically-Induced Fibrillation in a 3D Model of the Human Atria. Computing in cardiology. 5 indexed citations
16.
Pezzuto, Simone, et al.. (2018). Generalized Multifidelity Monte Carlo Estimators. arXiv (Cornell University). 1 indexed citations
17.
Pezzuto, Simone, et al.. (2017). Evaluation of a Rapid Anisotropic Model for ECG Simulation. Frontiers in Physiology. 8. 265–265. 36 indexed citations
18.
Ambrosi, D., et al.. (2017). Solid Tumors Are Poroelastic Solids with a Chemo-mechanical Feedback on Growth. Journal of Elasticity. 129(1-2). 107–124. 53 indexed citations
19.
Ambrosi, D., et al.. (2016). Finite element simulations of the active stress in the imaginal disc of the Drosophila Melanogaster. Computer Methods in Biomechanics & Biomedical Engineering. 19(12). 1241–1253. 2 indexed citations
20.
Favino, Marco, et al.. (2016). OUP accepted manuscript. EP Europace. 18(suppl 4). iv77–iv84. 5 indexed citations

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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