Martin Kühn

4.3k total citations · 1 hit paper
172 papers, 2.8k citations indexed

About

Martin Kühn is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Martin Kühn has authored 172 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Aerospace Engineering, 88 papers in Environmental Engineering and 49 papers in Computational Mechanics. Recurrent topics in Martin Kühn's work include Wind Energy Research and Development (123 papers), Wind and Air Flow Studies (80 papers) and Fluid Dynamics and Vibration Analysis (35 papers). Martin Kühn is often cited by papers focused on Wind Energy Research and Development (123 papers), Wind and Air Flow Studies (80 papers) and Fluid Dynamics and Vibration Analysis (35 papers). Martin Kühn collaborates with scholars based in Germany, United States and Netherlands. Martin Kühn's co-authors include David Schlipf, Gerald Steinfeld, Dominik Schlipf, Vlaho Petrović‬, Detlev Heinemann, Lukas Vollmer, Juan José Trujillo, Andreas Rott, Mehdi Vali and Martin Dörenkämper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Conversion and Management and Renewable Energy.

In The Last Decade

Martin Kühn

153 papers receiving 2.7k citations

Hit Papers

Nonlinear model predictive control of wind turbines using... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Kühn Germany 28 2.1k 1.3k 902 707 541 172 2.8k
Gunner Chr. Larsen Denmark 29 3.3k 1.6× 2.4k 1.8× 751 0.8× 1.4k 2.0× 270 0.5× 155 3.8k
David Sharpe United Kingdom 4 2.7k 1.2× 1.1k 0.8× 1.6k 1.7× 756 1.1× 967 1.8× 4 3.9k
G.J.W. van Bussel Netherlands 27 1.9k 0.9× 1.1k 0.8× 528 0.6× 956 1.4× 588 1.1× 81 2.9k
David Schlipf Germany 28 1.8k 0.9× 621 0.5× 999 1.1× 517 0.7× 594 1.1× 101 2.3k
Matthew Churchfield United States 31 3.7k 1.7× 2.5k 1.9× 802 0.9× 2.1k 3.0× 315 0.6× 112 4.2k
Sten Tronæs Frandsen United Kingdom 22 3.4k 1.6× 2.4k 1.8× 818 0.9× 1.3k 1.8× 193 0.4× 71 3.7k
Pierre‐Elouan Réthoré Denmark 26 2.4k 1.1× 1.6k 1.2× 542 0.6× 931 1.3× 112 0.2× 90 2.7k
Wen Zhong Shen Denmark 42 5.0k 2.3× 2.9k 2.2× 707 0.8× 2.8k 4.0× 314 0.6× 217 5.9k
Torben J. Larsen Denmark 24 2.2k 1.0× 1.2k 0.9× 564 0.6× 1.3k 1.8× 537 1.0× 121 2.9k
John G. McGowan 2 1.4k 0.7× 630 0.5× 774 0.9× 298 0.4× 315 0.6× 4 2.0k

Countries citing papers authored by Martin Kühn

Since Specialization
Citations

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

Fields of papers citing papers by Martin Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kühn

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kühn. A scholar is included among the top collaborators of Martin Kühn 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 Martin Kühn. Martin Kühn 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.
Petrović‬, Vlaho, et al.. (2025). A scaling methodology for the Hybrid-Lambda Rotor – characterization and validation in wind tunnel experiments. Wind energy science. 10(7). 1329–1349.
2.
Deglaire, Paul, et al.. (2025). The impact of far-reaching offshore cluster wakes on wind turbine fatigue loads. Wind energy science. 10(9). 1849–1867.
3.
Pilarczyk, Marcin, et al.. (2024). Optimization of a CO2-Free Offshore Power Plant Using Supercritical CO2. 1 indexed citations
4.
Steinfeld, Gerald, et al.. (2023). Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment. Wind energy science. 8(5). 747–770. 4 indexed citations
5.
Rott, Andreas, et al.. (2023). Wind vane correction during yaw misalignment for horizontal-axis wind turbines. Wind energy science. 8(11). 1755–1770. 1 indexed citations
6.
Rott, Andreas, et al.. (2022). Observer-based power forecast of individual and aggregated offshore wind turbines. Wind energy science. 7(5). 2099–2116. 2 indexed citations
7.
Wosnik, Martin, et al.. (2022). Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow. Wind energy science. 7(1). 237–257. 12 indexed citations
8.
Neuhaus, Lars, et al.. (2022). Experimental analysis of the dynamic inflow effect due to coherent gusts. Wind energy science. 7(5). 1827–1846. 4 indexed citations
9.
Rott, Andreas, et al.. (2022). Alignment of scanning lidars in offshore wind farms. Wind energy science. 7(1). 283–297. 6 indexed citations
10.
Rott, Andreas, et al.. (2021). Alignment of scanning lidars in offshore wind farms. 3 indexed citations
11.
Vali, Mehdi, Vlaho Petrović‬, Lucy Y. Pao, & Martin Kühn. (2021). Model Predictive Active Power Control for Optimal Structural Load Equalization in Waked Wind Farms. IEEE Transactions on Control Systems Technology. 30(1). 30–44. 32 indexed citations
12.
Rott, Andreas, et al.. (2021). Offshore wind farm global blockage measured with scanning lidar. Wind energy science. 6(2). 521–538. 49 indexed citations
13.
Bremen, Lueder von, et al.. (2020). Minute-scale power forecast of offshore wind turbines using long-range single-Doppler lidar measurements. Wind energy science. 5(4). 1449–1468. 19 indexed citations
14.
Petrović‬, Vlaho, et al.. (2019). Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis. Wind energy science. 4(4). 677–692. 4 indexed citations
15.
Vali, Mehdi, Vlaho Petrović‬, Gerald Steinfeld, Lucy Y. Pao, & Martin Kühn. (2019). An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer. Wind energy science. 4(1). 139–161. 36 indexed citations
16.
Vollmer, Lukas, Gerald Steinfeld, & Martin Kühn. (2017). Transient LES of an offshore wind turbine. Wind energy science. 2(2). 603–614. 10 indexed citations
17.
Steinfeld, Gerald, et al.. (2017). An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects. Wind energy science. 2(2). 477–490. 10 indexed citations
18.
Pauscher, Lukas, Nikola Vasiljević, Doron Callies, et al.. (2016). An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain. Remote Sensing. 8(9). 782–782. 52 indexed citations
19.
Fischer, Tim, et al.. (2011). Integration of Support Structure And Turbine Design - Final Results of WP4-Task4.1 On Offshore Support Structures of the EU Upwind Project. The Twenty-first International Offshore and Polar Engineering Conference. 2 indexed citations
20.
Kühn, Martin. (2008). Wieso brauchen wir eine Traumapädagogik. Trauma und Gewalt. 2(4). 318–327. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026