E. Andrés

1.3k total citations
28 papers, 604 citations indexed

About

E. Andrés is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Statistics, Probability and Uncertainty. According to data from OpenAlex, E. Andrés has authored 28 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 8 papers in Computational Mechanics and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in E. Andrés's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Parallel Computing and Optimization Techniques (6 papers). E. Andrés is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Parallel Computing and Optimization Techniques (6 papers). E. Andrés collaborates with scholars based in Spain, Germany and Argentina. E. Andrés's co-authors include Eusebio Valero, Sancho Salcedo‐Sanz, Ángel M. Pérez‐Bellido, Carlos Lozano, Gerardo Aldazabal, Markus Widhalm, Kyriakos C. Giannakoglou, Domenico Quagliarella, Daniel Viúdez‐Moreiras and Nicolas R. Gauger and has published in prestigious journals such as Expert Systems with Applications, Nuclear Physics A and Physics of Fluids.

In The Last Decade

E. Andrés

27 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Andrés Spain 11 146 135 133 132 118 28 604
Dmitry Kosterev United States 23 48 0.3× 32 0.2× 52 0.4× 25 0.2× 51 0.4× 60 2.4k
Timothy Wildey United States 16 281 1.9× 233 1.7× 12 0.1× 240 1.8× 27 0.2× 52 644
S. V. Utyuzhnikov United Kingdom 15 308 2.1× 68 0.5× 7 0.1× 121 0.9× 156 1.3× 57 620
Shuxing Yang China 17 69 0.5× 244 1.8× 9 0.1× 156 1.2× 383 3.2× 42 750
Patrick LeGresley United States 10 362 2.5× 204 1.5× 21 0.2× 71 0.5× 83 0.7× 13 580
Jinsheng Cai China 19 722 4.9× 66 0.5× 7 0.1× 70 0.5× 711 6.0× 98 1.1k
M. Giselle Fernández-Godino United States 8 44 0.3× 127 0.9× 13 0.1× 99 0.8× 37 0.3× 15 335
Parikshit Dutta United States 10 17 0.1× 52 0.4× 10 0.1× 52 0.4× 75 0.6× 37 577
Joël Brézillon Germany 15 484 3.3× 129 1.0× 8 0.1× 132 1.0× 205 1.7× 50 665
João‐Paulo Dias Brazil 15 81 0.6× 32 0.2× 8 0.1× 49 0.4× 20 0.2× 85 621

Countries citing papers authored by E. Andrés

Since Specialization
Citations

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

Fields of papers citing papers by E. Andrés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Andrés

This figure shows the co-authorship network connecting the top 25 collaborators of E. Andrés. A scholar is included among the top collaborators of E. Andrés 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 E. Andrés. E. Andrés 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.
Andrés, E., et al.. (2024). Toward aerodynamic surrogate modeling based on β-variational autoencoders. Physics of Fluids. 36(11). 3 indexed citations
2.
Discetti, Stefano, et al.. (2023). TOWARDS AERODYNAMIC SHAPE OPTIMISATION BY MANIFOLD LEARNING AND NEURAL NETWORKS. 59–72. 1 indexed citations
3.
Andrés, E., et al.. (2023). FUSING AERODYNAMIC DATA USING MULTI-FIDELITY GAUSSIAN PROCESS REGRESSION. 73–84. 1 indexed citations
4.
Andrés, E., et al.. (2021). On the application of surrogate regression models for aerodynamic coefficient prediction. Complex & Intelligent Systems. 7(4). 1991–2021. 22 indexed citations
5.
Andrés, E., L. M. González, Jacques Périaux, et al.. (2018). Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. UPCommons institutional repository (Universitat Politècnica de Catalunya). 24 indexed citations
6.
7.
Andrés, E., et al.. (2017). Obtaining minimum-drag shapes through surrogate-based global optimization: An application to the aerodynamic shape design of the landing gear master cylinder. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 232(15). 2858–2869. 1 indexed citations
8.
Andrés, E., et al.. (2017). A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses. Progress in Aerospace Sciences. 96. 23–61. 214 indexed citations
9.
10.
Andrés, E., et al.. (2016). A novel surface mesh deformation method for handling wing-fuselage intersections. Chinese Journal of Aeronautics. 30(1). 264–273. 6 indexed citations
11.
12.
Andrés, E., et al.. (2014). Volumetric b-splines shape parametrization for aerodynamic shape design. Aerospace Science and Technology. 37. 26–36. 28 indexed citations
13.
Andrés, E., et al.. (2012). Efficient aerodynamic design through evolutionary programming and support vector regression algorithms. Expert Systems with Applications. 39(12). 10700–10708. 54 indexed citations
14.
Lozano, Carlos, et al.. (2011). Domain versus boundary computation of flow sensitivities with the continuous adjoint method for aerodynamic shape optimization problems. International Journal for Numerical Methods in Fluids. 70(10). 1305–1323. 6 indexed citations
15.
Martín, María J., et al.. (2011). Non-uniform rational B-splines-based aerodynamic shape design optimization with the DLR TAU code. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 226(10). 1225–1242. 16 indexed citations
16.
Barrio, Alberto A. Del, et al.. (2008). Applying speculation techniques to implement functional units. 74–80. 8 indexed citations
17.
Andrés, E., et al.. (2008). Area Optimization of Combined Integer and Floating Point Circuits in High-Level Synthesis. 4. 229–232. 1 indexed citations
18.
Andrés, E., et al.. (2001). Results from the AMANDA high energy neutrino detector. Nuclear Physics A. 91(1-3). 423–430. 2 indexed citations
19.
Andrés, E.. (2000). The AMANDA neutrino telescope: principle of operation and first results. Astroparticle Physics. 13(1). 1–20. 121 indexed citations
20.
Aldazabal, Gerardo, I. Allekotte, E. Andrés, & Carlos Núñez. (1993). NONDIAGONAL CPm COSET MODELS AND THEIR POINCARÉ POLYNOMIALS. International Journal of Modern Physics A. 8(16). 2825–2838.

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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