Alberto Zingaro

592 total citations · 1 hit paper
16 papers, 352 citations indexed

About

Alberto Zingaro is a scholar working on Cardiology and Cardiovascular Medicine, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alberto Zingaro has authored 16 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 4 papers in Computational Mechanics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alberto Zingaro's work include Cardiovascular Function and Risk Factors (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Alberto Zingaro is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Atrial Fibrillation Management and Outcomes (3 papers). Alberto Zingaro collaborates with scholars based in Italy, Switzerland and Spain. Alberto Zingaro's co-authors include Luca Dede’, Alfio Quarteroni, Michele Bucelli, Pasquale Claudio Africa, Ivan Fumagalli, Marco Fedele, Francesco Regazzoni, Roberto Piersanti, Filippo Menghini and Matteo Salvador and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Alberto Zingaro

15 papers receiving 343 citations

Hit Papers

A comprehensive and biophysically detailed computational ... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Zingaro Italy 10 251 93 62 50 48 16 352
Ivan Fumagalli Italy 10 188 0.7× 59 0.6× 54 0.9× 61 1.2× 35 0.7× 21 286
Michele Bucelli Italy 9 162 0.6× 74 0.8× 41 0.7× 60 1.2× 23 0.5× 12 262
Matteo Salvador Italy 14 313 1.2× 129 1.4× 59 1.0× 71 1.4× 42 0.9× 30 491
Liya Asner United Kingdom 7 280 1.1× 179 1.9× 115 1.9× 18 0.4× 67 1.4× 9 392
Roberto Piersanti Italy 7 174 0.7× 78 0.8× 36 0.6× 32 0.6× 19 0.4× 9 264
Marina Strocchi United Kingdom 13 501 2.0× 132 1.4× 64 1.0× 20 0.4× 47 1.0× 56 627
Martin R. Pfaller United States 12 176 0.7× 113 1.2× 50 0.8× 49 1.0× 91 1.9× 23 372
Andrew Cookson United Kingdom 13 182 0.7× 154 1.7× 142 2.3× 83 1.7× 113 2.4× 26 444
Fredrik Eikeland Fossan Norway 6 231 0.9× 67 0.7× 139 2.2× 40 0.8× 172 3.6× 9 337
Eric Kerfoot United Kingdom 9 163 0.6× 73 0.8× 54 0.9× 21 0.4× 32 0.7× 18 270

Countries citing papers authored by Alberto Zingaro

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Zingaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Zingaro

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Zingaro. A scholar is included among the top collaborators of Alberto Zingaro 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 Alberto Zingaro. Alberto Zingaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Casoni, Eva, et al.. (2026). Electromechanical computational modeling of heart failure provides extensive analysis of cardiac pathophysiological features. Biomechanics and Modeling in Mechanobiology. 25(1). 15–15.
2.
Zingaro, Alberto, et al.. (2025). A multi-component, multi-physics computational model for solving coupled cardiac electromechanics and vascular haemodynamics. Research Portal (Queen's University Belfast). 1 indexed citations
3.
Zingaro, Alberto, Eugene Kholmovski, Luca Dede’, et al.. (2024). A comprehensive stroke risk assessment by combining atrial computational fluid dynamics simulations and functional patient data. Scientific Reports. 14(1). 9515–9515. 18 indexed citations
4.
Zingaro, Alberto, et al.. (2024). Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators. npj Digital Medicine. 7(1). 380–380. 5 indexed citations
5.
Zingaro, Alberto, Michele Bucelli, Roberto Piersanti, et al.. (2024). An electromechanics-driven fluid dynamics model for the simulation of the whole human heart. Journal of Computational Physics. 504. 112885–112885. 21 indexed citations
6.
Zingaro, Alberto, Michele Bucelli, Ivan Fumagalli, Luca Dede’, & Alfio Quarteroni. (2023). Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface method. International Journal for Numerical Methods in Biomedical Engineering. 39(12). e3767–e3767. 10 indexed citations
7.
Zingaro, Alberto, Christian Vergara, Luca Dede’, Francesco Regazzoni, & Alfio Quarteroni. (2023). A comprehensive mathematical model for cardiac perfusion. Scientific Reports. 13(1). 14220–14220. 18 indexed citations
8.
Africa, Pasquale Claudio, Ivan Fumagalli, Michele Bucelli, et al.. (2023). lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications. Computer Physics Communications. 296. 109039–109039. 27 indexed citations
9.
Zingaro, Alberto, et al.. (2023). PO-01-210 STROKE RISK IS IDENTIFIED BY SLOW BLOOD FLOW AND STAGNANT BLOOD PARTICLES IN THE LEFT ATRIUM. Heart Rhythm. 20(5). S161–S162. 1 indexed citations
10.
Fedele, Marco, Roberto Piersanti, Francesco Regazzoni, et al.. (2023). A comprehensive and biophysically detailed computational model of the whole human heart electromechanics. Computer Methods in Applied Mechanics and Engineering. 410. 115983–115983. 71 indexed citations breakdown →
11.
Zingaro, Alberto, et al.. (2022). Impact of atrial fibrillation on left atrium haemodynamics: A computational fluid dynamics study. Computers in Biology and Medicine. 150. 106143–106143. 35 indexed citations
12.
Zingaro, Alberto, Ivan Fumagalli, Luca Dede’, et al.. (2022). A geometric multiscale model for the numerical simulation of blood flow in the human left heart. Discrete and Continuous Dynamical Systems - S. 15(8). 2391–2391. 35 indexed citations
13.
Zingaro, Alberto, et al.. (2022). A Computational Study of Blood Flow Dynamics in the Pulmonary Arteries. Vietnam Journal of Mathematics. 51(1). 127–149. 9 indexed citations
14.
Bucelli, Michele, Alberto Zingaro, Pasquale Claudio Africa, et al.. (2022). A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart. International Journal for Numerical Methods in Biomedical Engineering. 39(3). e3678–e3678. 62 indexed citations
15.
Zingaro, Alberto, Luca Dede’, Filippo Menghini, & Alfio Quarteroni. (2021). Hemodynamics of the heart’s left atrium based on a Variational Multiscale-LES numerical method. European Journal of Mechanics - B/Fluids. 89. 380–400. 37 indexed citations
16.
Zingaro, Alberto & László Könözsy. (2018). Discontinuous Galerkin Finite Element Investigation on the Fully-Compressible Navier–Stokes Equations for Microscale Shock-Channels. Aerospace. 5(1). 16–16. 2 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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