Pierre‐Elouan Réthoré

4.1k total citations · 1 hit paper
90 papers, 2.7k citations indexed

About

Pierre‐Elouan Réthoré is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Pierre‐Elouan Réthoré has authored 90 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Aerospace Engineering, 46 papers in Environmental Engineering and 36 papers in Computational Mechanics. Recurrent topics in Pierre‐Elouan Réthoré's work include Wind Energy Research and Development (62 papers), Wind and Air Flow Studies (45 papers) and Fluid Dynamics and Vibration Analysis (25 papers). Pierre‐Elouan Réthoré is often cited by papers focused on Wind Energy Research and Development (62 papers), Wind and Air Flow Studies (45 papers) and Fluid Dynamics and Vibration Analysis (25 papers). Pierre‐Elouan Réthoré collaborates with scholars based in Denmark, United States and Spain. Pierre‐Elouan Réthoré's co-authors include Niels N. Sørensen, P. van der Laan, Alfredo Peña, Gunner Chr. Larsen, Andreas Bechmann, Søren Ott, Niels Troldborg, Frederik Zahle, Kurt Schaldemose Hansen and Jakob Mann and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Renewable Energy and Energies.

In The Last Decade

Pierre‐Elouan Réthoré

87 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

Wind turbine wake models developed at the technical university of Denmark: A review

2016 256 citations Tuhfe Göçmen, P. van der Laan et al. Renewable and Sustainable Energy Reviews profile →

Peers

Pierre‐Elouan Réthoré

EEE

Gunner Chr. Larsen Denmark

Sten Tronæs Frandsen United Kingdom

Luciano Castillo United States

Matthew Churchfield United States

J.G. Schepers Netherlands

Leo Jensen Denmark

Majid Bastankhah United Kingdom

Matthew A. Lackner United States

Helge Aagaard Madsen Denmark

K. Rados Greece

Gunner Chr. Larsen Denmark

Pierre‐Elouan Réthoré

3.3k ×1.4

2.4k ×1.5

1.4k ×1.5

751 ×1.4

EEE

202 ×1.0

Citations per year, relative to Pierre‐Elouan Réthoré Pierre‐Elouan Réthoré (= 1×) peers Gunner Chr. Larsen

Countries citing papers authored by Pierre‐Elouan Réthoré

Since Specialization

Citations

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

Fields of papers citing papers by Pierre‐Elouan Réthoré

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Elouan Réthoré. 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 Pierre‐Elouan Réthoré. The network helps show where Pierre‐Elouan Réthoré may publish in the future.

Co-authorship network of co-authors of Pierre‐Elouan Réthoré

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre‐Elouan Réthoré. A scholar is included among the top collaborators of Pierre‐Elouan Réthoré 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 Pierre‐Elouan Réthoré. Pierre‐Elouan Réthoré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Göçmen, Tuhfe, Nikolay Dimitrov, Søren Juhl Andersen, et al.. (2025). Data-driven wind farm flow control and challenges towards field implementation: A review. Renewable and Sustainable Energy Reviews. 216. 115605–115605. 3 indexed citations

Hasager, Charlotte Bay, et al.. (2025). Copula-based joint distributions of rain and wind for leading edge erosion risk atlas. Renewable Energy. 253. 123358–123358.

Réthoré, Pierre‐Elouan, et al.. (2025). From the idea to construction: Aspects of relevance of the optimized physical design of renewable hybrid power plants. Sustainable Energy Technologies and Assessments. 78. 104325–104325. 1 indexed citations

Quick, Julian, Juan Pablo Murcia León, Nikolay Dimitrov, et al.. (2024). Wind speed vertical extrapolation model validation under uncertainty. Renewable Energy. 240. 122028–122028. 1 indexed citations

Göçmen, Tuhfe, et al.. (2024). Erosion-safe operation using double deep Q-learning. Journal of Physics Conference Series. 2767(3). 32047–32047. 3 indexed citations

Quick, Julian, et al.. (2024). Gradient-based wind farm layout optimization with inclusion and exclusion zones. Wind energy science. 9(3). 585–600. 7 indexed citations

Forsting, Alexander Meyer, et al.. (2024). Aerodynamic effects of leading-edge erosion in wind farm flow modeling. Wind energy science. 9(9). 1811–1826. 6 indexed citations

Abdallah, Imad, et al.. (2024). Multivariate prediction on wake-affected wind turbines using graph neural networks. Journal of Physics Conference Series. 2647(11). 112006–112006. 2 indexed citations

Laan, P. van der, et al.. (2023). A RANS-based surrogate model for simulating wind turbine interaction. Journal of Physics Conference Series. 2505(1). 12016–12016. 1 indexed citations

10.

Andersen, Søren Juhl, et al.. (2023). RANS-AD based ANN surrogate model for wind turbine wake deficits. Journal of Physics Conference Series. 2505(1). 12022–12022. 4 indexed citations

11.

Quick, Julian, et al.. (2023). Stochastic gradient descent for wind farm optimization. Wind energy science. 8(8). 1235–1250. 13 indexed citations

12.

Dykes, Katherine, et al.. (2021). Technology in context: optimization of wind farm and hybrid power plant design, operation and control. DTU Data. 1 indexed citations

13.

Fischereit, Jana, Kurt Schaldemose Hansen, Xiaoli Guo Larsén, et al.. (2021). Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models. 2 indexed citations

14.

Laan, P. van der, Søren Juhl Andersen, & Pierre‐Elouan Réthoré. (2019). Brief communication: Wind-speed-independent actuator disk control for faster annual energy production calculations of wind farms using computational fluid dynamics. Wind energy science. 4(4). 645–651. 10 indexed citations

15.

Réthoré, Pierre‐Elouan, Andreas Bechmann, Niels N. Sørensen, et al.. (2016). Comparison of OpenFOAM and EllipSys3D for neutral atmospheric flow over complex terrain. Wind energy science. 1(1). 55–70. 21 indexed citations

16.

Réthoré, Pierre‐Elouan, Andreas Bechmann, Niels N. Sørensen, et al.. (2016). Comparison of OpenFOAM and EllipSys3D for neutral atmospheric flow over complex terrain. 3 indexed citations

17.

Göçmen, Tuhfe, P. van der Laan, Pierre‐Elouan Réthoré, et al.. (2016). Wind turbine wake models developed at the technical university of Denmark: A review. Renewable and Sustainable Energy Reviews. 60. 752–769. 256 indexed citations breakdown →

18.

Rodrigo, Javier Sanz, Patrick Moriarty, Matthew Churchfield, et al.. (2016). Mesoscale to microscale wind farm flow modeling and evaluation. Wiley Interdisciplinary Reviews Energy and Environment. 6(2). 75 indexed citations

19.

Réthoré, Pierre‐Elouan, Peter Fuglsang, Gunner Chr. Larsen, et al.. (2013). TOPFARM: Multi‐fidelity optimization of wind farms. Wind Energy. 17(12). 1797–1816. 88 indexed citations

20.

Réthoré, Pierre‐Elouan, Peter Fuglsang, Gunner Chr. Larsen, et al.. (2011). TopFarm: Multi-fidelity Optimization of Offshore Wind Farm. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 21 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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