David Maniaci

1.0k total citations
54 papers, 511 citations indexed

About

David Maniaci is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, David Maniaci has authored 54 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Aerospace Engineering, 36 papers in Environmental Engineering and 28 papers in Computational Mechanics. Recurrent topics in David Maniaci's work include Wind Energy Research and Development (46 papers), Wind and Air Flow Studies (35 papers) and Fluid Dynamics and Vibration Analysis (18 papers). David Maniaci is often cited by papers focused on Wind Energy Research and Development (46 papers), Wind and Air Flow Studies (35 papers) and Fluid Dynamics and Vibration Analysis (18 papers). David Maniaci collaborates with scholars based in United States, Denmark and Germany. David Maniaci's co-authors include Brian Naughton, Christopher Kelley, Edward White, Ye Li, Brian Ray Resor, T. Herges, Joshua Paquette, Raymond Chow, Mikael Sjöholm and Torben Mikkelsen and has published in prestigious journals such as AIAA Journal, Energies and Journal of Wind Engineering and Industrial Aerodynamics.

In The Last Decade

David Maniaci

51 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Maniaci United States 14 437 257 256 38 38 54 511
Naseem Ali United States 17 287 0.7× 281 1.1× 256 1.0× 73 1.9× 21 0.6× 36 561
Alexander Meyer Forsting Denmark 13 439 1.0× 269 1.0× 219 0.9× 57 1.5× 20 0.5× 39 475
Georgios Pechlivanoglou Germany 16 561 1.3× 224 0.9× 357 1.4× 43 1.1× 29 0.8× 46 609
Iván Herráez Germany 12 343 0.8× 211 0.8× 233 0.9× 21 0.6× 14 0.4× 19 396
Juliaan Bossuyt United States 10 399 0.9× 309 1.2× 265 1.0× 80 2.1× 12 0.3× 18 543
Bernhard Stoevesandt Germany 17 661 1.5× 418 1.6× 398 1.6× 92 2.4× 30 0.8× 64 776
Ján Bartl Norway 13 460 1.1× 290 1.1× 236 0.9× 84 2.2× 13 0.3× 34 522
P. Enevoldsen Denmark 10 328 0.8× 218 0.8× 141 0.6× 65 1.7× 17 0.4× 22 381
Nicholas Hamilton United States 17 551 1.3× 442 1.7× 418 1.6× 52 1.4× 24 0.6× 50 649
Matthias Kinzel United States 12 506 1.2× 283 1.1× 356 1.4× 25 0.7× 26 0.7× 18 626

Countries citing papers authored by David Maniaci

Since Specialization
Citations

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

Fields of papers citing papers by David Maniaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Maniaci

This figure shows the co-authorship network connecting the top 25 collaborators of David Maniaci. A scholar is included among the top collaborators of David Maniaci 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 David Maniaci. David Maniaci 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.
Cheung, Lawrence, Myra Blaylock, Kenneth Brown, et al.. (2025). Model intercomparison of the ABL, turbines, and wakes within the AWAKEN wind farms under neutral stability conditions. Journal of Renewable and Sustainable Energy. 17(2). 2 indexed citations
2.
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).
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Cheung, Lawrence, et al.. (2024). Modification of wind turbine wakes by large-scale, convective atmospheric boundary layer structures. Journal of Renewable and Sustainable Energy. 16(6). 4 indexed citations
6.
Brown, Kerry A., Lawrence H. Cheung, T. Herges, et al.. (2024). Estimating Uncertainties from Dual-Doppler Radar Measurements of Onshore Wind Plants Using LES. Journal of Physics Conference Series. 2767(9). 92111–92111. 2 indexed citations
7.
Maniaci, David, et al.. (2023). Winglet Design for a Wind Turbine with an Additively Manufactured Blade Tip. AIAA SCITECH 2023 Forum. 2 indexed citations
8.
Brown, Kenneth, et al.. (2023). Wake interactions behind individual-tower multi-rotor wind turbine configurations. Journal of Physics Conference Series. 2505(1). 12041–12041. 2 indexed citations
9.
Cheung, Lawrence H., Myra Blaylock, Thomas Herges, et al.. (2023). Investigations of Farm-to-Farm Interactions and Blockage Effects from AWAKEN Using Large-Scale Numerical Simulations. Journal of Physics Conference Series. 2505(1). 12023–12023. 8 indexed citations
10.
Blaylock, Myra, et al.. (2022). Validation of Actuator Line and Actuator Disk Models with Filtered Lifting Line Corrections Implemented in Nalu-Wind Large Eddy Simulations of the Atmospheric Boundary Layer [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
11.
Brown, Kenneth, et al.. (2021). High-fidelity wind farm simulation methodology with experimental validation. Journal of Wind Engineering and Industrial Aerodynamics. 218. 104754–104754. 16 indexed citations
12.
Brown, Kenneth, et al.. (2020). Representation of coherent structures and turbulence spectra from a virtual SpinnerLidar for future LES wake validation. Journal of Physics Conference Series. 1618(6). 62070–62070. 2 indexed citations
13.
Herges, Thomas, et al.. (2018). Wind Turbine Wake Definition and Identification Using Velocity Deficit and Turbulence Profile. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
14.
Herges, Thomas, David Maniaci, Brian Naughton, et al.. (2017). Scanning Lidar Spatial Calibration and Alignment Method for Wind Turbine Wake Characterization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8 indexed citations
15.
Herges, T., David Maniaci, Brian Naughton, Torben Mikkelsen, & Mikael Sjöholm. (2017). High resolution wind turbine wake measurements with a scanning lidar. Journal of Physics Conference Series. 854. 12021–12021. 51 indexed citations
16.
Naughton, Jonathan, et al.. (2016). Wind Turbine Blade Design for Subscale Testing. Journal of Physics Conference Series. 753. 22048–22048. 16 indexed citations
17.
Berg, Jonathan, Bruce LeBlanc, David Maniaci, et al.. (2014). Scaled Wind Farm Technology Facility Overview. 44 indexed citations
18.
Maniaci, David. (2013). Wind turbine design using a free-wake vortex method with winglet application. PhDT. 14 indexed citations
19.
Maniaci, David & Ye Li. (2011). Investigating the influence of the added mass effect to marine hydrokinetic horizontal-axis turbines using a General Dynamic Wake wind turbine code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 14 indexed citations
20.
Maniaci, David. (2011). An Investigation of WT_Perf Convergence Issues. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 13 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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