Esteban Ferrer

2.2k total citations · 1 hit paper
104 papers, 1.5k citations indexed

About

Esteban Ferrer is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering. According to data from OpenAlex, Esteban Ferrer has authored 104 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computational Mechanics, 29 papers in Statistical and Nonlinear Physics and 28 papers in Aerospace Engineering. Recurrent topics in Esteban Ferrer's work include Fluid Dynamics and Turbulent Flows (48 papers), Computational Fluid Dynamics and Aerodynamics (44 papers) and Fluid Dynamics and Vibration Analysis (33 papers). Esteban Ferrer is often cited by papers focused on Fluid Dynamics and Turbulent Flows (48 papers), Computational Fluid Dynamics and Aerodynamics (44 papers) and Fluid Dynamics and Vibration Analysis (33 papers). Esteban Ferrer collaborates with scholars based in Spain, United States and United Kingdom. Esteban Ferrer's co-authors include Eusebio Valero, Gonzalo Rubio, Richard Willden, Juan Manzanero, Soledad Le Clainche, Xabier Munduate, David A. Kopriva, Adeline Montlaur, L. M. González and Jiaqing Kou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Expert Systems with Applications.

In The Last Decade

Esteban Ferrer

93 papers receiving 1.4k citations

Hit Papers

Improving aircraft performance using machine learning: A ... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Improving aircraft performance using machine learning: A review
    2023 97 citations Esteban Ferrer et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Esteban Ferrer Spain 25 1.2k 431 362 130 88 104 1.5k
Eusebio Valero Spain 25 1.2k 1.0× 530 1.2× 429 1.2× 132 1.0× 177 2.0× 111 1.7k
Xiaowei Jin China 8 675 0.6× 347 0.8× 757 2.1× 131 1.0× 138 1.6× 21 1.2k
Andrew Kurzawski United States 10 768 0.6× 328 0.8× 660 1.8× 151 1.2× 157 1.8× 20 1.3k
Chuangxin He China 20 915 0.7× 623 1.4× 259 0.7× 351 2.7× 230 2.6× 81 1.3k
Artem Korobenko Canada 23 1.5k 1.2× 359 0.8× 164 0.5× 204 1.6× 77 0.9× 48 1.8k
Philippe Méliga France 19 954 0.8× 334 0.8× 187 0.5× 209 1.6× 102 1.2× 45 1.1k
Koen Hillewaert Belgium 17 1.3k 1.1× 394 0.9× 134 0.4× 91 0.7× 148 1.7× 58 1.5k
Matthew Barone United States 22 956 0.8× 934 2.2× 389 1.1× 449 3.5× 97 1.1× 75 1.7k
Soledad Le Clainche Spain 24 1.2k 1.0× 544 1.3× 885 2.4× 213 1.6× 136 1.5× 96 1.8k
Richard P. Dwight Netherlands 20 1.2k 0.9× 472 1.1× 517 1.4× 302 2.3× 107 1.2× 66 1.7k

Countries citing papers authored by Esteban Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Esteban Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esteban Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Esteban Ferrer. A scholar is included among the top collaborators of Esteban Ferrer 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 Esteban Ferrer. Esteban Ferrer 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.
2.
González, L. M., et al.. (2025). Experimental assessment of marine propeller noise under ventilation conditions in a towing tank. Applied Acoustics. 245. 111208–111208.
3.
Valero, Eusebio, et al.. (2025). An unsupervised machine-learning-based shock sensor: Application to high-order supersonic flow solvers. Expert Systems with Applications. 270. 126352–126352.
4.
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Rubio, Gonzalo D., et al.. (2025). A high-order immersed boundary method to approximate flow problems in domains with curved boundaries. Journal of Computational Physics. 528. 113807–113807. 1 indexed citations
6.
Frutos, Martín de, et al.. (2025). Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers. Journal of Computational Physics. 536. 114080–114080. 1 indexed citations
7.
Alemany, Laura Alonso, et al.. (2024). A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers. Results in Engineering. 24. 102949–102949. 3 indexed citations
8.
Durán, Mario, et al.. (2024). Wavy ground effects on the stability of cylinder wakes. Theoretical and Computational Fluid Dynamics. 38(2). 139–162.
9.
Soler, D., et al.. (2024). Reinforcement learning to maximize wind turbine energy generation. Expert Systems with Applications. 249. 123502–123502. 20 indexed citations
10.
Rubio, Gonzalo, et al.. (2024). Accelerating high order discontinuous Galerkin solvers through a clustering-based viscous/turbulent-inviscid domain decomposition. Engineering With Computers. 41(2). 949–964. 2 indexed citations
11.
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Ferrer, Esteban, et al.. (2024). Wind turbine power extraction under partial wake operations, a CFD study using ALM.. Journal of Physics Conference Series. 2767(9). 92097–92097. 1 indexed citations
13.
Ferrer, Esteban, et al.. (2024). Accelerating high order discontinuous Galerkin solvers using neural networks: Wall bounded flows. Journal of Physics Conference Series. 2753(1). 12023–12023. 1 indexed citations
14.
Kou, Jiaqing, et al.. (2023). Length-scales for efficient CFL conditions in high-order methods with distorted meshes: Application to local-timestepping for p-multigrid. Computers & Fluids. 265. 106011–106011. 3 indexed citations
15.
Kou, Jiaqing & Esteban Ferrer. (2023). A combined volume penalization/selective frequency damping approach for immersed boundary methods: Application to moving geometries. Physics of Fluids. 35(12). 3 indexed citations
16.
Kou, Jiaqing, et al.. (2023). Aeroacoustic airfoil shape optimization enhanced by autoencoders. Expert Systems with Applications. 217. 119513–119513. 30 indexed citations
17.
Kou, Jiaqing, et al.. (2022). Non-modal analysis of linear multigrid schemes for the high-order Flux Reconstruction method. Journal of Computational Physics. 456. 111070–111070. 2 indexed citations
18.
Rubio, Gonzalo, et al.. (2021). A functional oriented truncation error adaptation method. Journal of Computational Physics. 451. 110883–110883. 6 indexed citations
19.
Kou, Jiaqing, et al.. (2021). Immersed boundary method for high-order flux reconstruction based on volume penalization. Zenodo (CERN European Organization for Nuclear Research).
20.
Munduate, Xabier & Esteban Ferrer. (2009). CFD Predictions of Transition and Distributed Roughness Over a Wind Turbine Airfoil. 47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition. 36 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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