Luca Pegolotti

15 papers receiving 312 citations

Peers

Luca Pegolotti
Comparison fields: 5 of 62
  • Statistical and Nonlinear Physics 91
  • Statistics, Probability and Uncertainty 37
  • Health Informatics 7
  • Cardiology and Cardiovascular Medicine 94
  • Computational Mechanics 60
Replace Stefano Pagani with:
Stefano Pagani Italy
Davide Forti Switzerland
Marco Fedele Italy
Pasquale Claudio Africa Italy
Sam Coveney United Kingdom
Tobias Köppl Germany
Fredrik Eikeland Fossan Norway
Michele Bucelli Italy
Wouter P. Donders Netherlands
Ivan Fumagalli Italy
Luca Pegolotti relative to Stefano Pagani Italy Stefano Pagani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luca Pegolotti

Since Specialization
Citations

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

Fields of papers citing papers by Luca Pegolotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202272
2 202354
3 202050
4 202345
5 202130
6 201822
7 202518
8 20247
9 20256
10 20185
11 20205
12 20213
13 20241
14 20251
15 20241

About Luca Pegolotti

Luca Pegolotti is a scholar working on Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, Computational Mechanics, Numerical Analysis and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 320 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Model Reduction and Neural Networks (5 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Coronary Interventions and Diagnostics (2 papers), Numerical methods for differential equations (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (91 citations), Statistics, Probability and Uncertainty (37 citations), Health Informatics (7 citations), Cardiology and Cardiovascular Medicine (94 citations) and Computational Mechanics (60 citations). Luca Pegolotti has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Alison Lesley Marsden, Martin R. Pfaller, Simone Deparis, Niccolò Dal Santo, Erica L. Schwarz, Jonathan Pham, Nathan M. Wilson, David Parker, Weiguang Yang and Eric Darve. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computers in Biology and Medicine, Frontiers in Cardiovascular Medicine, Computers & Fluids and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

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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