Martin Campos Pinto

509 total citations
43 papers, 303 citations indexed

About

Martin Campos Pinto is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Martin Campos Pinto has authored 43 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 21 papers in Electrical and Electronic Engineering and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Martin Campos Pinto's work include Advanced Numerical Methods in Computational Mathematics (21 papers), Electromagnetic Simulation and Numerical Methods (17 papers) and Magnetic confinement fusion research (8 papers). Martin Campos Pinto is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (21 papers), Electromagnetic Simulation and Numerical Methods (17 papers) and Magnetic confinement fusion research (8 papers). Martin Campos Pinto collaborates with scholars based in France, Germany and Portugal. Martin Campos Pinto's co-authors include Éric Sonnendrücker, Bruno Després, Michel Méhrenberger, Stéphanie Salmon, Wolfgang Dahmen, Katharina Kormann, S. Heuraux, F. da Silva, A. Friedman and D.P. Grote and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Mathematics of Computation.

In The Last Decade

Martin Campos Pinto

39 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Campos Pinto France 11 154 140 78 72 58 43 303
E. Sonnendrücker France 5 202 1.3× 64 0.5× 123 1.6× 186 2.6× 31 0.5× 7 350
J. Segré France 8 229 1.5× 244 1.7× 49 0.6× 42 0.6× 32 0.6× 19 383
Marie-Hélène Vignal France 15 413 2.7× 91 0.7× 93 1.2× 271 3.8× 19 0.3× 25 553
Roman Samulyak United States 13 125 0.8× 55 0.4× 179 2.3× 17 0.2× 62 1.1× 58 383
Antoine Cerfon United States 13 80 0.5× 84 0.6× 281 3.6× 21 0.3× 135 2.3× 39 454
Simon Labrunie France 10 192 1.2× 139 1.0× 17 0.2× 39 0.5× 8 0.1× 28 316
Zihuan Dai China 9 194 1.3× 20 0.1× 82 1.1× 82 1.1× 9 0.2× 22 299
Jacques Blum France 10 45 0.3× 49 0.3× 320 4.1× 35 0.5× 76 1.3× 20 410
J.G. Wohlbier United States 13 167 1.1× 110 0.8× 41 0.5× 59 0.8× 77 1.3× 31 365
H.J. de Blank Netherlands 12 62 0.4× 71 0.5× 198 2.5× 5 0.1× 39 0.7× 40 334

Countries citing papers authored by Martin Campos Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Martin Campos Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Campos Pinto. 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 Martin Campos Pinto. The network helps show where Martin Campos Pinto may publish in the future.

Co-authorship network of co-authors of Martin Campos Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Campos Pinto. A scholar is included among the top collaborators of Martin Campos Pinto 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 Martin Campos Pinto. Martin Campos Pinto 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.
Pinto, Martin Campos, et al.. (2025). Time-splitting methods for the cold-plasma model using finite element exterior calculus. Journal of Computational Physics. 541. 114305–114305.
2.
Pinto, Martin Campos, et al.. (2024). Mass, momentum and energy preserving FEEC and broken-FEEC schemes for the incompressible Navier–Stokes equations. IMA Journal of Numerical Analysis. 45(3). 1868–1904. 2 indexed citations
3.
Pinto, Martin Campos, et al.. (2024). On Variational Fourier Particle Methods. Journal of Scientific Computing. 101(3). 1 indexed citations
4.
Pinto, Martin Campos, et al.. (2024). Variational discretizations of ideal magnetohydrodynamics in smooth regime using structure-preserving finite elements. Journal of Computational Physics. 523. 113647–113647. 1 indexed citations
5.
Bottino, A., Martin Campos Pinto, T. Hayward-Schneider, et al.. (2024). Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS. Computer Physics Communications. 299. 109155–109155. 3 indexed citations
6.
Pinto, Martin Campos, et al.. (2023). A δf PIC method with forward–backward Lagrangian reconstructions. Physics of Plasmas. 30(3). 1 indexed citations
7.
Pinto, Martin Campos, et al.. (2023). A Broken FEEC Framework for Electromagnetic Problems on Mapped Multipatch Domains. Journal of Scientific Computing. 97(2). 4 indexed citations
8.
Pinto, Martin Campos, et al.. (2022). A semi-implicit electromagnetic FEM-PIC scheme with exact energy and charge conservation. Journal of Computational Physics. 453. 110912–110912. 10 indexed citations
9.
Pinto, Martin Campos, Katharina Kormann, & Éric Sonnendrücker. (2022). Variational Framework for Structure-Preserving Electromagnetic Particle-in-Cell Methods. Journal of Scientific Computing. 91(2). 19 indexed citations
10.
Pinto, Martin Campos. (2016). Constructing exact sequences on non-conforming discrete spaces. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
11.
Pinto, Martin Campos, et al.. (2016). Uniform Convergence of a Linearly Transformed Particle Method for the Vlasov--Poisson System. SIAM Journal on Numerical Analysis. 54(1). 137–160. 5 indexed citations
12.
Pinto, Martin Campos & Éric Sonnendrücker. (2015). Gauss-compatible Galerkin schemes for time-dependent Maxwell equations. Mathematics of Computation. 85(302). 2651–2685. 21 indexed citations
13.
Heuraux, S., F. da Silva, T. Ribeiro, et al.. (2015). Simulation as a tool to improve wave heating in fusion plasmas. Journal of Plasma Physics. 81(5). 7 indexed citations
14.
Pinto, Martin Campos, et al.. (2014). Noiseless Vlasov–Poisson simulations with linearly transformed particles. Journal of Computational Physics. 275. 236–256. 15 indexed citations
15.
Pinto, Martin Campos, et al.. (2014). Charge-conserving FEM–PIC schemes on general grids. Comptes Rendus Mécanique. 342(10-11). 570–582. 39 indexed citations
16.
Santos‐Silva, Filipe, S. Heuraux, Bruno Després, & Martin Campos Pinto. (2013). Avancées numériques dans les noyaux pour les codes FDTD Maxwell utilisant l'algorithme Yee. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
17.
Pinto, Martin Campos & Michel Méhrenberger. (2007). Convergence of an adaptive semi-Lagrangian scheme for the Vlasov-Poisson system. Numerische Mathematik. 108(3). 407–444. 14 indexed citations
18.
Méhrenberger, Michel, et al.. (2005). A parallel adaptive Vlasov solver based on hierarchical finite element interpolation. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 558(1). 188–191. 9 indexed citations
19.
Pinto, Martin Campos, Albert Cohen, Wolfgang Dahmen, & Ronald DeVore. (2005). ON THE STABILITY OF NONLINEAR CONSERVATION LAWS IN THE HAUSDORFF METRIC. Journal of Hyperbolic Differential Equations. 2(1). 25–38. 1 indexed citations
20.
Pinto, Martin Campos, et al.. (2001). Levinson theorem for functional differential systems. Nonlinear Analysis. 47(6). 3963–3975. 1 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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