Tomás Chacón Rebollo

1.5k total citations
89 papers, 977 citations indexed

About

Tomás Chacón Rebollo is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Tomás Chacón Rebollo has authored 89 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computational Mechanics, 24 papers in Computational Theory and Mathematics and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Tomás Chacón Rebollo's work include Advanced Numerical Methods in Computational Mathematics (49 papers), Computational Fluid Dynamics and Aerodynamics (34 papers) and Advanced Mathematical Modeling in Engineering (24 papers). Tomás Chacón Rebollo is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (49 papers), Computational Fluid Dynamics and Aerodynamics (34 papers) and Advanced Mathematical Modeling in Engineering (24 papers). Tomás Chacón Rebollo collaborates with scholars based in Spain, France and United States. Tomás Chacón Rebollo's co-authors include Enrique D. Fernández-Nieto, Roger Lewandowski, Macarena Gómez Mármol, Samuele Rubino, Christine Bernardi, Volker John, Naveed Ahmed, Frédéric Hecht, François Murat and Carlos Parés and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Tomás Chacón Rebollo

83 papers receiving 936 citations

Peers

Tomás Chacón Rebollo
Malte Braack Germany
Marc Gerritsma Netherlands
San‐Yih Lin Taiwan
Nicolas Chevaugeon France
H. van der Ven Netherlands
Rodolfo Bermejo Spain
M. Restelli Italy
Andrea Crivellini Italy
S. Scott Collis United States
Magne S. Espedal Norway
Malte Braack Germany
Tomás Chacón Rebollo
Citations per year, relative to Tomás Chacón Rebollo Tomás Chacón Rebollo (= 1×) peers Malte Braack

Countries citing papers authored by Tomás Chacón Rebollo

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Chacón Rebollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomás Chacón Rebollo. 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 Tomás Chacón Rebollo. The network helps show where Tomás Chacón Rebollo may publish in the future.

Co-authorship network of co-authors of Tomás Chacón Rebollo

This figure shows the co-authorship network connecting the top 25 collaborators of Tomás Chacón Rebollo. A scholar is included among the top collaborators of Tomás Chacón Rebollo 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 Tomás Chacón Rebollo. Tomás Chacón Rebollo 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.
Ballarin, Francesco, et al.. (2025). Variational multiscale evolve and filter strategies for convection-dominated flows. Computer Methods in Applied Mechanics and Engineering. 438. 117811–117811. 1 indexed citations
2.
Rebollo, Tomás Chacón, et al.. (2024). Least-squares pressure recovery in reduced order methods for incompressible flows. Journal of Computational Physics. 519. 113397–113397. 2 indexed citations
3.
Ballarin, Francesco, et al.. (2023). Certified Reduced Basis VMS-Smagorinsky model for natural convection ow in a cavity with variable height. arXiv (Cornell University). 8 indexed citations
4.
Galán, J., et al.. (2023). Reduced Order Modelling for the Optimization of CSP Tower Receivers and Their Cavities for High Temperature Applications. SHILAP Revista de lepidopterología. 1. 1 indexed citations
5.
Rebollo, Tomás Chacón, et al.. (2023). Spectral variational multi-scale method for parabolic problems: application to 1D transient advection-diffusion equations. Computational and Applied Mathematics. 42(1). 1 indexed citations
6.
Rebollo, Tomás Chacón, et al.. (2020). Anisotropic VMS solution of advection–diffusion problems by spectral approximation of sub-grid scales. Journal of Computational and Applied Mathematics. 380. 112959–112959. 2 indexed citations
7.
Rebollo, Tomás Chacón, et al.. (2019). A cure for instabilities due to advection-dominance in POD solution to\n advection-diffusion-reaction equations. arXiv (Cornell University). 12 indexed citations
8.
Belgacem, Faker Ben, et al.. (2018). A New Algorithm of Proper Generalized Decomposition for Parametric Symmetric Elliptic Problems. SIAM Journal on Mathematical Analysis. 50(5). 5426–5445. 5 indexed citations
9.
Azaïez, Mejdi, et al.. (2017). Error bounds in high-order Sobolev norms for POD expansions of parameterized transient temperatures. Comptes Rendus Mathématique. 355(4). 432–438. 2 indexed citations
10.
Rebollo, Tomás Chacón, Macarena Gómez Mármol, & Samuele Rubino. (2014). Analysis of numerical stability of algebraic oceanic turbulent mixing layer models. Applied Mathematical Modelling. 38(24). 5836–5857.
11.
Rebollo, Tomás Chacón, et al.. (2012). A Bochev–Dohrmann–Gunzburger stabilization method for the primitive equations of the ocean. Applied Mathematics Letters. 26(4). 413–417. 1 indexed citations
12.
Bernardi, Christine, Tomás Chacón Rebollo, Frédéric Hecht, & Zoubida Mghazli. (2008). Mortar finite element discretization of a model coupling Darcy and Stokes equations. ESAIM Mathematical Modelling and Numerical Analysis. 42(3). 375–410. 49 indexed citations
13.
Bennis, Anne‐Claire, Tomás Chacón Rebollo, Macarena Gómez Mármol, & Roger Lewandowski. (2007). Stability of some turbulent vertical models for the ocean mixing boundary layer. Applied Mathematics Letters. 21(2). 128–133. 3 indexed citations
14.
Bernardi, Christine, et al.. (2007). A FETI method with a mesh independent condition number for the iteration matrix. Computer Methods in Applied Mechanics and Engineering. 197(13-16). 1410–1429. 6 indexed citations
15.
Castro, Manuel J., Tomás Chacón Rebollo, Enrique D. Fernández-Nieto, & Carlos Parés. (2007). On Well‐Balanced Finite Volume Methods for Nonconservative Nonhomogeneous Hyperbolic Systems. SIAM Journal on Scientific Computing. 29(3). 1093–1126. 39 indexed citations
16.
Rebollo, Tomás Chacón, et al.. (2003). Derivation of the k–ε model for locally homogeneous turbulence by homogenization techniques. Comptes Rendus Mathématique. 337(6). 431–436. 1 indexed citations
17.
Rebollo, Tomás Chacón, et al.. (2002). A non-overlapping domain decomposition method for the Stokes equations via a penalty term on the interface. Comptes Rendus Mathématique. 334(3). 221–226. 5 indexed citations
18.
Rebollo, Tomás Chacón, et al.. (2001). On cubic spline approximations for the vortex patch problem. Applied Numerical Mathematics. 36(4). 359–387. 8 indexed citations
19.
Rebollo, Tomás Chacón & Francisco Guillén‐González. (2000). An intrinsic analysis of existence of solutions for the hydrostatic approximation of Navier–Stokes equations. Comptes Rendus de l Académie des Sciences - Series I - Mathematics. 330(9). 841–846. 21 indexed citations
20.
Rebollo, Tomás Chacón. (1988). Oscillations Due to the Transport of Microstructures. SIAM Journal on Applied Mathematics. 48(5). 1128–1146. 7 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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