Dries Allaerts

1.0k total citations
30 papers, 473 citations indexed

About

Dries Allaerts is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Dries Allaerts has authored 30 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 24 papers in Environmental Engineering and 12 papers in Computational Mechanics. Recurrent topics in Dries Allaerts's work include Wind Energy Research and Development (27 papers), Wind and Air Flow Studies (24 papers) and Meteorological Phenomena and Simulations (10 papers). Dries Allaerts is often cited by papers focused on Wind Energy Research and Development (27 papers), Wind and Air Flow Studies (24 papers) and Meteorological Phenomena and Simulations (10 papers). Dries Allaerts collaborates with scholars based in Netherlands, Belgium and United States. Dries Allaerts's co-authors include Johan Meyers, Matthew Churchfield, Eliot Quon, Caroline Draxl, Nicole Van Lipzig, Jan‐Willem van Wingerden, Bart Doekemeijer, Daan van der Hoek, Joshua Brinkerhoff and Ulrich Konigorski and has published in prestigious journals such as Journal of Fluid Mechanics, Quarterly Journal of the Royal Meteorological Society and Physics of Fluids.

In The Last Decade

Dries Allaerts

26 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dries Allaerts Netherlands 10 429 357 184 81 78 30 473
Anders Sommer Sweden 4 381 0.9× 300 0.8× 167 0.9× 43 0.5× 69 0.9× 4 418
Andreas Rott Germany 8 282 0.7× 202 0.6× 83 0.5× 50 0.6× 82 1.1× 17 306
Mithu Debnath United States 14 298 0.7× 283 0.8× 173 0.9× 89 1.1× 39 0.5× 21 417
Matthew Aitken United States 8 359 0.8× 354 1.0× 121 0.7× 131 1.6× 27 0.3× 11 482
L. Folkerts Denmark 5 416 1.0× 285 0.8× 134 0.7× 21 0.3× 109 1.4× 10 445
Shengbai Xie United States 8 352 0.8× 281 0.8× 207 1.1× 19 0.2× 44 0.6× 19 398
Jay Prakash Goit Japan 8 273 0.6× 167 0.5× 109 0.6× 25 0.3× 106 1.4× 13 318
Lukas Vollmer Germany 11 327 0.8× 263 0.7× 169 0.9× 48 0.6× 50 0.6× 25 412
Lu Zhan United States 9 241 0.6× 199 0.6× 106 0.6× 25 0.3× 44 0.6× 13 270
Stefano Letizia United States 11 307 0.7× 233 0.7× 128 0.7× 23 0.3× 60 0.8× 33 346

Countries citing papers authored by Dries Allaerts

Since Specialization
Citations

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

Fields of papers citing papers by Dries Allaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dries Allaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Dries Allaerts. A scholar is included among the top collaborators of Dries Allaerts 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 Dries Allaerts. Dries Allaerts 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.
Chatelain, Philippe, et al.. (2025). A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies. Wind energy science. 10(6). 1055–1075.
2.
Allaerts, Dries, et al.. (2024). TOSCA – an open-source, finite-volume, large-eddy simulation (LES) environment for wind farm flows. Wind energy science. 9(2). 297–320. 8 indexed citations
3.
Allaerts, Dries, et al.. (2024). The multi-scale coupled model: a new framework capturing wind farm–atmosphere interaction and global blockage effects. Wind energy science. 9(5). 1123–1152. 6 indexed citations
4.
Allaerts, Dries, et al.. (2024). A large-eddy simulation (LES) model for wind-farm-induced atmospheric gravity wave effects inside conventionally neutral boundary layers. Wind energy science. 9(8). 1647–1668. 2 indexed citations
5.
Dwight, Richard P., et al.. (2024). A simple RANS closure for wind-farms under neutral atmospheric conditions: Preliminary findings. Journal of Physics Conference Series. 2767(9). 92104–92104.
6.
Allaerts, Dries, et al.. (2024). Active Cluster Wake Mixing. Journal of Physics Conference Series. 2767(9). 92052–92052. 1 indexed citations
7.
Brinkerhoff, Joshua, et al.. (2024). Comparing methods for coupling wake models to an atmospheric perturbation model in WAYVE. Journal of Physics Conference Series. 2767(9). 92079–92079. 1 indexed citations
8.
9.
Allaerts, Dries, et al.. (2024). A shear stress parametrization for arbitrary wind farms in conventionally neutral boundary layers. Journal of Fluid Mechanics. 981. 1 indexed citations
10.
Allaerts, Dries, Eliot Quon, & Matthew Churchfield. (2023). Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site. Wind Energy. 26(5). 469–492. 6 indexed citations
11.
Doekemeijer, Bart, et al.. (2022). The revised FLORIDyn model: implementation of heterogeneous flow and the Gaussian wake. Wind energy science. 7(6). 2163–2179. 33 indexed citations
12.
Allaerts, Dries, et al.. (2022). FLORIDyn - A dynamic and flexible framework for real-time wind farm control. Journal of Physics Conference Series. 2265(3). 32103–32103. 14 indexed citations
13.
Allaerts, Dries, et al.. (2022). Ensemble-Based Flow Field Estimation Using the Dynamic Wind Farm Model FLORIDyn. Energies. 15(22). 8589–8589. 6 indexed citations
14.
Allaerts, Dries & Johan Meyers. (2019). Sensitivity and feedback of wind-farm-induced gravity waves. Journal of Fluid Mechanics. 862. 990–1028. 42 indexed citations
15.
Allaerts, Dries & Johan Meyers. (2017). A fast wind-farm boundary-layer model to investigate gravity wave effects and upstream flow deceleration. Lirias (KU Leuven). 1 indexed citations
16.
Allaerts, Dries & Johan Meyers. (2017). Gravity Waves and Wind-Farm Efficiency in Neutral and Stable Conditions. Boundary-Layer Meteorology. 166(2). 269–299. 73 indexed citations
17.
Allaerts, Dries, et al.. (2016). Evaluation of a wind‐farm parametrization in a regional climate model using large eddy simulations. Quarterly Journal of the Royal Meteorological Society. 142(701). 3152–3161. 17 indexed citations
18.
Allaerts, Dries & Johan Meyers. (2016). Internal boundary layer growth over large wind farms under conventionally neutral conditions. 1 indexed citations
19.
Allaerts, Dries & Johan Meyers. (2015). Large eddy simulation of a large wind-turbine array in a conventionally neutral atmospheric boundary layer. Physics of Fluids. 27(6). 86 indexed citations
20.
Allaerts, Dries & Johan Meyers. (2014). Wind farm performance in conventionally neutral atmospheric boundary layers with varying inversion strengths. Journal of Physics Conference Series. 524. 12114–12114. 1 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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