Paula Doubrawa

985 total citations
41 papers, 478 citations indexed

About

Paula Doubrawa is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Paula Doubrawa has authored 41 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 30 papers in Environmental Engineering and 15 papers in Computational Mechanics. Recurrent topics in Paula Doubrawa's work include Wind Energy Research and Development (30 papers), Wind and Air Flow Studies (29 papers) and Fluid Dynamics and Vibration Analysis (10 papers). Paula Doubrawa is often cited by papers focused on Wind Energy Research and Development (30 papers), Wind and Air Flow Studies (29 papers) and Fluid Dynamics and Vibration Analysis (10 papers). Paula Doubrawa collaborates with scholars based in United States, Switzerland and Norway. Paula Doubrawa's co-authors include R. J. Barthelmie, S. C. Pryor, Mithu Debnath, Matthew Churchfield, Jason Jonkman, Domingo Muñoz‐Esparza, Jennifer Annoni, Nicola Bodini, Senu Sirnivas and Marte Godvik and has published in prestigious journals such as Remote Sensing of Environment, Applied Energy and Renewable Energy.

In The Last Decade

Paula Doubrawa

38 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paula Doubrawa United States 14 329 246 151 133 74 41 478
Mithu Debnath United States 14 298 0.9× 283 1.2× 173 1.1× 89 0.7× 74 1.0× 21 417
Etienne Cheynet Norway 14 192 0.6× 298 1.2× 211 1.4× 87 0.7× 55 0.7× 46 558
Lukas Vollmer Germany 11 327 1.0× 263 1.1× 169 1.1× 48 0.4× 50 0.7× 25 412
Reda Snaiki United States 14 97 0.3× 229 0.9× 91 0.6× 279 2.1× 90 1.2× 33 560
Wim Munters Belgium 10 526 1.6× 294 1.2× 280 1.9× 61 0.5× 37 0.5× 20 638
Chi Yan China 9 254 0.8× 123 0.5× 82 0.5× 39 0.3× 46 0.6× 19 411
Zilong Ti China 15 309 0.9× 234 1.0× 258 1.7× 89 0.7× 17 0.2× 36 718
Gerald Steinfeld Germany 16 634 1.9× 614 2.5× 335 2.2× 276 2.1× 215 2.9× 44 940
Paul Mycek France 8 528 1.6× 95 0.4× 254 1.7× 34 0.3× 30 0.4× 26 665
Eliot Quon United States 12 297 0.9× 227 0.9× 184 1.2× 90 0.7× 46 0.6× 39 422

Countries citing papers authored by Paula Doubrawa

Since Specialization
Citations

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

Fields of papers citing papers by Paula Doubrawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Doubrawa

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Doubrawa. A scholar is included among the top collaborators of Paula Doubrawa 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 Paula Doubrawa. Paula Doubrawa 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.
Bodini, Nicola, Patrick Moriarty, Stefano Letizia, et al.. (2025). A perspective on lessons learned and future needs for wind energy field campaigns. Journal of Renewable and Sustainable Energy. 17(3).
2.
3.
Hamilton, Nicholas, et al.. (2025). Modal dynamics of wind turbine wake meandering from lidar observations. Renewable Energy. 254. 123555–123555. 1 indexed citations
4.
Doubrawa, Paula, et al.. (2024). Validation of new and existing methods for time-domain simulations of turbulence and loads. Journal of Physics Conference Series. 2767(5). 52057–52057. 1 indexed citations
5.
Brown, Kenneth, Pietro Bortolotti, Emmanuel Branlard, et al.. (2024). One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST. Wind energy science. 9(8). 1791–1810. 3 indexed citations
6.
7.
Doubrawa, Paula, Kelsey Shaler, & Jason Jonkman. (2023). Difference in load predictions obtained with effective turbulence vs. a dynamic wake meandering modeling approach. Wind energy science. 8(9). 1475–1493.
8.
Letizia, Stefano, Peter Brugger, Nicola Bodini, et al.. (2023). Characterization of wind turbine flow through nacelle-mounted lidars: a review. Frontiers in Mechanical Engineering. 9. 4 indexed citations
9.
Martínez‐Tossas, Luis A., et al.. (2023). A baseline for ensemble-based, time-resolved inflow reconstruction for a single turbine using large-eddy simulations and latent diffusion models. Journal of Physics Conference Series. 2505(1). 12018–12018. 3 indexed citations
10.
Kelley, Christopher, Paula Doubrawa, Nicholas Hamilton, & Jonathan Naughton. (2022). Rotor Aerodynamics, Aeroelastics, & Wake Project.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Optis, Mike, Nicola Bodini, Mithu Debnath, & Paula Doubrawa. (2021). New methods to improve the vertical extrapolation of near-surface offshore wind speeds. Wind energy science. 6(3). 935–948. 30 indexed citations
12.
Debnath, Mithu, et al.. (2021). Extreme wind shear events in US offshore wind energy areas and the role of induced stratification. Wind energy science. 6(4). 1043–1059. 28 indexed citations
13.
Quon, Eliot, Paula Doubrawa, & Mithu Debnath. (2020). Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution. Journal of Physics Conference Series. 1452(1). 12070–12070. 13 indexed citations
14.
Branlard, Emmanuel, Jason Jonkman, Scott Dana, & Paula Doubrawa. (2020). A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines. Journal of Physics Conference Series. 1618(2). 22030–22030. 24 indexed citations
15.
Doubrawa, Paula, Matthew Churchfield, Marte Godvik, & Senu Sirnivas. (2019). Load response of a floating wind turbine to turbulent atmospheric flow. Applied Energy. 242. 1588–1599. 49 indexed citations
16.
Doubrawa, Paula, et al.. (2018). Analysis of Different Gray Zone Treatments in WRF-LES Real Case Simulations. Biogeosciences (European Geosciences Union). 4 indexed citations
17.
Doubrawa, Paula, et al.. (2017). Effect of Wind Turbine Wakes on the Performance of a Real Case WRF-LES Simulation. Journal of Physics Conference Series. 854. 12010–12010. 2 indexed citations
18.
Doubrawa, Paula, R. J. Barthelmie, Wang Hui, & Matthew Churchfield. (2016). A stochastic wind turbine wake model based on new metrics for wake characterization. Wind Energy. 20(3). 449–463. 12 indexed citations
19.
Barthelmie, R. J., et al.. (2016). Effects of an escarpment on flow parameters of relevance to wind turbines. Wind Energy. 19(12). 2271–2286. 24 indexed citations
20.
Hui, Wang, R. J. Barthelmie, Paula Doubrawa, & S. C. Pryor. (2016). Errors in radial velocity variance from Doppler wind lidar. Atmospheric measurement techniques. 9(8). 4123–4139. 7 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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