Aubryn Cooperman

1.0k total citations
24 papers, 521 citations indexed

About

Aubryn Cooperman is a scholar working on Aerospace Engineering, Computational Mechanics and Environmental Engineering. According to data from OpenAlex, Aubryn Cooperman has authored 24 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 10 papers in Computational Mechanics and 7 papers in Environmental Engineering. Recurrent topics in Aubryn Cooperman's work include Aerodynamics and Fluid Dynamics Research (10 papers), Wind Energy Research and Development (9 papers) and Plasma and Flow Control in Aerodynamics (7 papers). Aubryn Cooperman is often cited by papers focused on Aerodynamics and Fluid Dynamics Research (10 papers), Wind Energy Research and Development (9 papers) and Plasma and Flow Control in Aerodynamics (7 papers). Aubryn Cooperman collaborates with scholars based in United States, Netherlands and Taiwan. Aubryn Cooperman's co-authors include Eric Lantz, Annika Eberle, C. P. van Dam, Raymond Chow, Marcias Martinez, Matt Shields, Philipp Beiter, Patrick Duffy, Myra Blaylock and C. VAN DAM and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Renewable Energy.

In The Last Decade

Aubryn Cooperman

24 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aubryn Cooperman United States 12 305 155 92 86 78 24 521
Djamal Hissein Didane Malaysia 20 596 2.0× 159 1.0× 222 2.4× 160 1.9× 159 2.0× 65 920
Chu Wang China 14 128 0.4× 93 0.6× 64 0.7× 154 1.8× 52 0.7× 40 554
K.M. Almohammadi Saudi Arabia 11 287 0.9× 145 0.9× 200 2.2× 148 1.7× 65 0.8× 16 693
Choon-Man Jang South Korea 15 451 1.5× 268 1.7× 94 1.0× 206 2.4× 142 1.8× 61 716
Lisa Ziegler Norway 11 173 0.6× 24 0.2× 109 1.2× 125 1.5× 77 1.0× 18 499
G. Hankinson United Kingdom 12 497 1.6× 141 0.9× 93 1.0× 42 0.5× 34 0.4× 14 738
Asfaw Beyene United States 19 449 1.5× 218 1.4× 211 2.3× 440 5.1× 103 1.3× 59 1.1k
Leonardo Pelagalli Italy 12 76 0.2× 70 0.5× 36 0.4× 232 2.7× 85 1.1× 25 467
Francisco García Spain 19 66 0.2× 97 0.6× 51 0.6× 658 7.7× 90 1.2× 54 1.1k
Peter Breuhaus Norway 16 109 0.4× 90 0.6× 57 0.6× 386 4.5× 105 1.3× 30 767

Countries citing papers authored by Aubryn Cooperman

Since Specialization
Citations

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

Fields of papers citing papers by Aubryn Cooperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aubryn Cooperman

This figure shows the co-authorship network connecting the top 25 collaborators of Aubryn Cooperman. A scholar is included among the top collaborators of Aubryn Cooperman 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 Aubryn Cooperman. Aubryn Cooperman 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.
Hao, Guangbo, et al.. (2023). Cost‐benefit assessment framework for robotics‐driven inspection of floating offshore wind farms. Wind Energy. 27(2). 152–164. 5 indexed citations
2.
Walzberg, Julien, et al.. (2022). Regional representation of wind stakeholders’ end-of-life behaviors and their impact on wind blade circularity. iScience. 25(8). 104734–104734. 14 indexed citations
3.
Shields, Matt, et al.. (2021). Impacts of turbine and plant upsizing on the levelized cost of energy for offshore wind. Applied Energy. 298. 117189–117189. 88 indexed citations
4.
Beiter, Philipp, Aubryn Cooperman, Eric Lantz, et al.. (2021). Wind power costs driven by innovation and experience with further reductions on the horizon. Wiley Interdisciplinary Reviews Energy and Environment. 10(5). 32 indexed citations
5.
Cooperman, Aubryn, et al.. (2021). Microjet Configuration Sensitivities for Active Flow Control on Multi-Element High-Lift Systems. Journal of Aircraft. 58(4). 743–761. 7 indexed citations
6.
Chen, Shu‐Hua, Shu‐Chih Yang, C. P. van Dam, et al.. (2019). Application of bias corrections to improve hub-height ensemble wind forecasts over the Tehachapi Wind Resource Area. Renewable Energy. 140. 281–291. 13 indexed citations
7.
Chow, Raymond, et al.. (2019). Blade Element Momentum Study of Rotor Aerodynamic Performance and Loading for Active and Passive Microjet Systems. Journal of Energy Resources Technology. 141(5). 5 indexed citations
8.
Cooperman, Aubryn, et al.. (2019). Microjets for Lift Enhancement and Separation Mitigation in High-Lift Systems. AIAA Aviation 2019 Forum. 2 indexed citations
9.
Chow, Raymond, et al.. (2018). Experimental and Computational Investigation of Blunt Trailing-Edge Airfoils with Splitter Plates. AIAA Journal. 56(8). 3229–3239. 10 indexed citations
10.
Cooperman, Aubryn & Marcias Martinez. (2015). MEMS inertial sensors for load monitoring of wind turbine blades. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9439. 94390A–94390A. 1 indexed citations
11.
Pan, Cheng-Tang, et al.. (2015). An Innovative Design of a Microtab Deployment Mechanism for Active Aerodynamic Load Control. Energies. 8(6). 5885–5897. 21 indexed citations
12.
Cooperman, Aubryn & C. P. van Dam. (2015). Closed-Loop Control of a Microtab-Based Load Control System. Journal of Aircraft. 52(2). 387–394. 9 indexed citations
13.
Cooperman, Aubryn & Marcias Martinez. (2014). Load monitoring for active control of wind turbines. Renewable and Sustainable Energy Reviews. 41. 189–201. 42 indexed citations
14.
Cooperman, Aubryn, Myra Blaylock, & C. P. van Dam. (2014). Experimental and simulated control of lift using trailing edge devices. Journal of Physics Conference Series. 555. 12019–12019. 3 indexed citations
15.
Cooperman, Aubryn, Raymond Chow, & C. P. van Dam. (2013). Active Load Control of a Wind Turbine Airfoil Using Microtabs. Journal of Aircraft. 50(4). 1150–1158. 27 indexed citations
16.
Blaylock, Myra, Raymond Chow, Aubryn Cooperman, & C. P. van Dam. (2013). Comparison of pneumatic jets and tabs for Active Aerodynamic Load Control. Wind Energy. 17(9). 1365–1384. 45 indexed citations
17.
Cooperman, Aubryn. (2012). Wind Tunnel Testing of Microtabs and Microjets for Active Load Control of Wind Turbine Blades. PhDT. 16 indexed citations
18.
Cooperman, Aubryn, et al.. (2012). Wind Tunnel Testing of Jets and Tabs for Active Load Control of Wind Turbine Blades. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 14 indexed citations
19.
Cooperman, Aubryn, Raymond Chow, Scott J. Johnson, & C. VAN DAM. (2011). Experimental and Computational Analysis of a Wind Turbine Airfoil with Active Microtabs. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 7 indexed citations
20.
Dam, C. P. van, et al.. (2010). Thick Airfoils With Blunt Trailing Edge for Wind Turbine Blades. 923–931. 5 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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