Bart Doekemeijer

1.5k total citations
37 papers, 904 citations indexed

About

Bart Doekemeijer is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Bart Doekemeijer has authored 37 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Aerospace Engineering, 27 papers in Electrical and Electronic Engineering and 8 papers in Computational Mechanics. Recurrent topics in Bart Doekemeijer's work include Wind Energy Research and Development (32 papers), Wind Turbine Control Systems (24 papers) and Energy Load and Power Forecasting (12 papers). Bart Doekemeijer is often cited by papers focused on Wind Energy Research and Development (32 papers), Wind Turbine Control Systems (24 papers) and Energy Load and Power Forecasting (12 papers). Bart Doekemeijer collaborates with scholars based in Netherlands, United States and Germany. Bart Doekemeijer's co-authors include Jan‐Willem van Wingerden, Sjoerd Boersma, Daan van der Hoek, Paul Fleming, J.W. van Wingerden, Mehdi Vali, Pieter Gebraad, Johan Meyers, Joeri Frederik and Lucy Y. Pao and has published in prestigious journals such as Renewable Energy, Energies and Wind Energy.

In The Last Decade

Bart Doekemeijer

35 papers receiving 879 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Doekemeijer Netherlands 17 831 504 339 221 127 37 904
Andrew Scholbrock United States 20 1.3k 1.6× 687 1.4× 609 1.8× 361 1.6× 265 2.1× 39 1.5k
Filippo Campagnolo Germany 20 1.3k 1.6× 367 0.7× 654 1.9× 531 2.4× 173 1.4× 73 1.4k
Jennifer Annoni United States 20 1.4k 1.7× 683 1.4× 730 2.2× 523 2.4× 192 1.5× 43 1.6k
M. Thøgersen Denmark 8 828 1.0× 215 0.4× 588 1.7× 278 1.3× 61 0.5× 17 980
E. S. Politis Greece 13 1.1k 1.3× 180 0.4× 776 2.3× 539 2.4× 95 0.7× 27 1.2k
Florian Haizmann Germany 13 459 0.6× 226 0.4× 245 0.7× 104 0.5× 79 0.6× 22 530
Steffen Raach Germany 14 490 0.6× 239 0.5× 204 0.6× 159 0.7× 81 0.6× 32 560
Patrick C. Murphy United States 16 727 0.9× 83 0.2× 153 0.5× 306 1.4× 230 1.8× 68 836
Emmanuel Branlard United States 17 540 0.6× 70 0.1× 329 1.0× 327 1.5× 106 0.8× 55 712
Wai Hou Lio Denmark 14 307 0.4× 233 0.5× 96 0.3× 89 0.4× 178 1.4× 48 463

Countries citing papers authored by Bart Doekemeijer

Since Specialization
Citations

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

Fields of papers citing papers by Bart Doekemeijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Doekemeijer

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Doekemeijer. A scholar is included among the top collaborators of Bart Doekemeijer 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 Bart Doekemeijer. Bart Doekemeijer 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.
Bay, Christopher J., Paul Fleming, Bart Doekemeijer, et al.. (2023). Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model. Wind energy science. 8(3). 401–419. 21 indexed citations
2.
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
3.
Doekemeijer, Bart, et al.. (2022). Active power control of wind farms: An instantaneous approach on waked conditions. Research Repository (Delft University of Technology). 3 indexed citations
4.
Doekemeijer, Bart, Eric Simley, & Paul Fleming. (2022). Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms. Energies. 15(6). 1964–1964. 25 indexed citations
5.
Fleming, Paul, Bart Doekemeijer, & Eric Simley. (2022). FLASC (FLORIS-based Analysis for SCADA data). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
6.
Doekemeijer, Bart, Stefan Kern, Stoyan Kanev, et al.. (2021). Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy. Wind energy science. 6(1). 159–176. 66 indexed citations
7.
Fleming, Paul, et al.. (2021). Experimental results of wake steering using fixed angles. 4 indexed citations
8.
Fleming, Paul, et al.. (2021). Experimental results of wake steering using fixed angles. Wind energy science. 6(6). 1521–1531. 16 indexed citations
9.
Mudafort, Rafael, K. E. Fleming, Rob Hammond, et al.. (2021). NREL/floris: v2.4. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
10.
Doekemeijer, Bart. (2020). Closing the loop in model-based wind farm control. Research Repository (Delft University of Technology). 1 indexed citations
11.
Wingerden, J.W. van, Paul Fleming, Tuhfe Göçmen, et al.. (2020). Expert Elicitation on Wind Farm Control. Journal of Physics Conference Series. 1618(2). 22025–22025. 42 indexed citations
12.
Kanev, Stoyan, et al.. (2019). Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control. Wind energy science. 4(4). 549–561. 35 indexed citations
13.
Raach, Steffen, Bart Doekemeijer, Sjoerd Boersma, Jan‐Willem van Wingerden, & Po Wen Cheng. (2019). Feedforward-Feedback wake redirection for wind farm control. 5 indexed citations
14.
Boersma, Sjoerd, et al.. (2019). Stochastic Model Predictive Control: uncertainty impact on wind farm power tracking. Research Repository (Delft University of Technology). 4167–4172. 10 indexed citations
15.
Rott, Andreas, et al.. (2018). Robust active wake control in consideration of wind direction variability and uncertainty. Wind energy science. 3(2). 869–882. 57 indexed citations
16.
Boersma, Sjoerd, Bart Doekemeijer, Mehdi Vali, Johan Meyers, & Jan‐Willem van Wingerden. (2018). A control-oriented dynamic wind farm model: WFSim. Wind energy science. 3(1). 75–95. 95 indexed citations
17.
Doekemeijer, Bart, Sjoerd Boersma, Lucy Y. Pao, Torben Knudsen, & Jan‐Willem van Wingerden. (2018). Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control. Wind energy science. 3(2). 749–765. 30 indexed citations
18.
Boersma, Sjoerd, et al.. (2018). A constrained wind farm controller providing secondary frequency regulation: An LES study. Renewable Energy. 134. 639–652. 54 indexed citations
19.
Boersma, Sjoerd, Pieter Gebraad, Mehdi Vali, Bart Doekemeijer, & J.W. van Wingerden. (2016). A control-oriented dynamic wind farm flow model: “WFSim”. Journal of Physics Conference Series. 753. 32005–32005. 28 indexed citations
20.
Doekemeijer, Bart. (2016). Enhanced Kalman filtering for a 2D CFD Navier-Stokes wind farm model. Research Repository (Delft University of Technology). 4 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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