Luca Bergamaschi

1.8k total citations · 1 hit paper
72 papers, 1.2k citations indexed

About

Luca Bergamaschi is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luca Bergamaschi has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computational Theory and Mathematics, 45 papers in Computational Mechanics and 41 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luca Bergamaschi's work include Matrix Theory and Algorithms (54 papers), Advanced Numerical Methods in Computational Mathematics (43 papers) and Electromagnetic Scattering and Analysis (41 papers). Luca Bergamaschi is often cited by papers focused on Matrix Theory and Algorithms (54 papers), Advanced Numerical Methods in Computational Mathematics (43 papers) and Electromagnetic Scattering and Analysis (41 papers). Luca Bergamaschi collaborates with scholars based in Italy, United Kingdom and Spain. Luca Bergamaschi's co-authors include Mario Putti, Ángeles Martínez, Giuseppe Gambolati, Jacek Gondzio, Giorgio Pini, Marco Vianello, Marco Caliari, Massimiliano Ferronato, Annamaria Mazzia and Michelangelo Vianello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and European Heart Journal.

In The Last Decade

Luca Bergamaschi

67 papers receiving 1.1k citations

Hit Papers

Cardiovascular therapeutic targets of sodium-glucose co-t... 2025 2026 2025 5 10 15 20 25

Peers

Luca Bergamaschi
Ch. Schwab Switzerland
Jim E. Jones United States
Steven F. Ashby United States
Raymond S. Tuminaro United States
Bruno D. Welfert United States
Robert C. Kirby United States
Luca Bergamaschi
Citations per year, relative to Luca Bergamaschi Luca Bergamaschi (= 1×) peers Jocelyne Erhel

Countries citing papers authored by Luca Bergamaschi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bergamaschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bergamaschi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Bergamaschi. A scholar is included among the top collaborators of Luca Bergamaschi 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 Luca Bergamaschi. Luca Bergamaschi 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.
Armillotta, Matteo, Emanuel Raschi, Guido Di Dalmazi, et al.. (2025). Cardiovascular therapeutic targets of sodium-glucose co-transporter 2 (SGLT2) inhibitors beyond heart failure. Pharmacology & Therapeutics. 270. 108861–108861. 26 indexed citations breakdown →
2.
Monard, Céline, et al.. (2025). Drug Removal by Hemoadsorption. Blood Purification. 1–29.
3.
Bergamaschi, Luca, et al.. (2024). Parallel-in-Time Solver for the All-at-Once Runge–Kutta Discretization. SIAM Journal on Matrix Analysis and Applications. 45(4). 1902–1928. 2 indexed citations
4.
Bergamaschi, Luca, Ángeles Martínez, John W. Pearson, & Andreas Potschka. (2024). Spectral analysis of block preconditioners for double saddle-point linear systems with application to PDE-constrained optimization. Computational Optimization and Applications. 91(2). 423–455.
6.
Bergamaschi, Luca, et al.. (2023). Parallel matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. Computers & Mathematics with Applications. 146. 60–70. 1 indexed citations
7.
Bergamaschi, Luca, et al.. (2021). Parallel Newton-Chebyshev Preconditioners for the Conjugate Gradient method. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 2 indexed citations
8.
Bergamaschi, Luca, et al.. (2019). Block Preconditioning Matrices for the Newton Method to Compute the Dominant λ-Modes Associated with the Neutron Diffusion Equation. Mathematical and Computational Applications. 24(1). 9–9. 2 indexed citations
9.
Bergamaschi, Luca, et al.. (2018). Spectral preconditioners for the efficient numerical solution of a continuous branched transport model. Journal of Computational and Applied Mathematics. 354. 259–270. 11 indexed citations
10.
Bergamaschi, Luca, et al.. (2012). Low-rank update of preconditioners for the nonlinear Richards equation. Mathematical and Computer Modelling. 57(7-8). 1933–1941. 10 indexed citations
11.
Bergamaschi, Luca & Ángeles Martínez. (2011). FSAI-based parallel Mixed Constraint Preconditioners for saddle point problems arising in geomechanics. Journal of Computational and Applied Mathematics. 236(3). 308–318. 5 indexed citations
12.
Bergamaschi, Luca, et al.. (2009). An Efficient Parallel MLPG Method for Poroelastic Models. Computer Modeling in Engineering & Sciences. 49(3). 191–216. 11 indexed citations
13.
Martínez, Ángeles, Luca Bergamaschi, Marco Caliari, & Michelangelo Vianello. (2009). A massively parallel exponential integrator for advection-diffusion models. Journal of Computational and Applied Mathematics. 231(1). 82–91. 23 indexed citations
14.
Bergamaschi, Luca, Rafael Bru, Ángeles Martínez, & Mario Putti. (2006). Quasi-Newton preconditioners for the inexact Newton method.. Research Padua Archive (University of Padua). 23. 76–87. 24 indexed citations
15.
Bergamaschi, Luca, Giuseppe Gambolati, & Giorgio Pini. (2006). A numerical experimental study of inverse preconditioning for the parallel iterative solution to 3D finite element flow equations. Journal of Computational and Applied Mathematics. 210(1-2). 64–70. 10 indexed citations
16.
Caliari, Marco, Michelangelo Vianello, & Luca Bergamaschi. (2004). Interpolating discrete advection–diffusion propagators at Leja sequences. Journal of Computational and Applied Mathematics. 172(1). 79–99. 43 indexed citations
17.
Pace, Giuseppe, et al.. (2001). Bi-quadratic surface response for quantitative determination of analytes leading to partially overlapped chromatographic peaks. Journal of Chromatography A. 907(1-2). 81–88. 3 indexed citations
18.
Mazzia, Annamaria, Luca Bergamaschi, & Mario Putti. (1999). Triangular Finite Volume-Mixed Finite Element Discretization for the Advection-Diffusion Equation.. Research Padua Archive (University of Padua). 129(4). 371–378. 1 indexed citations
19.
Bergamaschi, Luca & Mario Putti. (1999). Efficient Parallelization of Preconditioned Conjugate Gradient Scheme for Matrices Arising from Discretizations of Diffusion Equations.. PPSC. 6 indexed citations
20.
Bergamaschi, Luca, Giuseppe Gambolati, & Giorgio Pini. (1994). Spectral Analysis of Large Finite Element Problems by Optimization Methods. SHILAP Revista de lepidopterología. 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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