Ángeles Martínez

553 total citations
41 papers, 348 citations indexed

About

Ángeles Martínez is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ángeles Martínez has authored 41 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 24 papers in Computational Mechanics and 20 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ángeles Martínez's work include Matrix Theory and Algorithms (26 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Electromagnetic Scattering and Analysis (19 papers). Ángeles Martínez is often cited by papers focused on Matrix Theory and Algorithms (26 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Electromagnetic Scattering and Analysis (19 papers). Ángeles Martínez collaborates with scholars based in Italy, Mexico and Spain. Ángeles Martínez's co-authors include Luca Bergamaschi, Rafael Bru, Stefano De Marchı, Emma Perracchione, Mario Putti, Giorgio Pini, J. A. Rayas, Ramón Rodrı́guez-Vera, Héctor José Puga Soberanes and Marco Caliari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and Applied Mathematics and Computation.

In The Last Decade

Ángeles Martínez

40 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ángeles Martínez 191 173 120 103 48 41 348
Artem Napov 260 1.4× 255 1.5× 144 1.2× 71 0.7× 37 0.8× 24 467
Robert Plato 102 0.5× 81 0.5× 36 0.3× 93 0.9× 78 1.6× 28 385
Beong In Yun 88 0.5× 56 0.3× 57 0.5× 175 1.7× 64 1.3× 45 359
Gunhild Lindskog 323 1.7× 213 1.2× 137 1.1× 136 1.3× 58 1.2× 11 423
Christopher Siefert 118 0.6× 192 1.1× 34 0.3× 40 0.4× 55 1.1× 25 337
Sabine Le Borne 188 1.0× 230 1.3× 185 1.5× 67 0.7× 54 1.1× 44 421
F. Hermeline 136 0.7× 449 2.6× 34 0.3× 140 1.4× 70 1.5× 24 606
Michael Pernice 123 0.6× 215 1.2× 25 0.2× 128 1.2× 32 0.7× 19 402
S. H. Lui 170 0.9× 234 1.4× 21 0.2× 126 1.2× 68 1.4× 38 428
Abdeljalil Nachaoui 164 0.9× 122 0.7× 30 0.3× 38 0.4× 205 4.3× 56 442

Countries citing papers authored by Ángeles Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Ángeles Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángeles Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Ángeles Martínez. A scholar is included among the top collaborators of Ángeles Martínez 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 Ángeles Martínez. Ángeles Martínez 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.
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.
2.
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
3.
Bergamaschi, Luca, et al.. (2024). Some preconditioning techniques for a class of double saddle point problems. Numerical Linear Algebra with Applications. 31(4). 3 indexed citations
4.
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
5.
Martínez, Ángeles, et al.. (2023). Deep Neural Networks Training by Stochastic Quasi-Newton Trust-Region Methods. Algorithms. 16(10). 490–490. 2 indexed citations
6.
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
7.
Bergamaschi, Luca, et al.. (2020). Compact quasi‐Newton preconditioners for symmetric positive definite linear systems. Numerical Linear Algebra with Applications. 27(6). 3 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.
Martínez, Ángeles, et al.. (2019). Quadrature-based polynomial optimization. Optimization Letters. 14(5). 1027–1036. 5 indexed citations
10.
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
11.
Marchı, Stefano De, Ángeles Martínez, & Emma Perracchione. (2018). Fast and stable rational RBF-based partition of unity interpolation. Journal of Computational and Applied Mathematics. 349. 331–343. 27 indexed citations
12.
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
13.
Martínez, Ángeles, J. A. Rayas, Raúl R. Cordero, & F. Labbé. (2011). Comparative measurement of in plane strain by shearography and electronic speckle pattern interferometry. Revista Mexicana de Física. 57(6). 518–523. 4 indexed citations
14.
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
15.
Martínez, Ángeles, et al.. (2010). Computation of crack tip elastic stress intensity factor in mode I by in-plane electronic speckle pattern interferometry. Revista Mexicana de Física. 56(5). 394–400. 5 indexed citations
16.
Martínez, Ángeles, et al.. (2010). Medición de la evolución temporal de los campos dinámicos de desplazamiento mediante interferometría de moteado para una probeta de latón. Revista Mexicana de Física. 56(3). 262–267. 1 indexed citations
17.
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
18.
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
19.
Martínez, Ángeles, et al.. (2003). Medición del modulo de young en el hule latex usando ESPI.. Revista Mexicana de Física. 49(6). 555–564. 6 indexed citations
20.
Martínez, Ángeles, et al.. (2002). Polynomial preconditioners based on factorized sparse approximate inverses. Applied Mathematics and Computation. 133(1). 171–186. 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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