Eliot Quon

964 total citations
39 papers, 422 citations indexed

About

Eliot Quon is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Eliot Quon has authored 39 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Aerospace Engineering, 23 papers in Environmental Engineering and 21 papers in Computational Mechanics. Recurrent topics in Eliot Quon's work include Wind and Air Flow Studies (23 papers), Wind Energy Research and Development (18 papers) and Meteorological Phenomena and Simulations (11 papers). Eliot Quon is often cited by papers focused on Wind and Air Flow Studies (23 papers), Wind Energy Research and Development (18 papers) and Meteorological Phenomena and Simulations (11 papers). Eliot Quon collaborates with scholars based in United States, Netherlands and Denmark. Eliot Quon's co-authors include Matthew Churchfield, Marilyn Smith, Paul Fleming, Jennifer Annoni, Caroline Draxl, Christopher J. Bay, Dries Allaerts, Patrick Moriarty, Jennifer King and Paula Doubrawa and has published in prestigious journals such as Bulletin of the American Meteorological Society, Remote Sensing and Ecological Modelling.

In The Last Decade

Eliot Quon

35 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eliot Quon United States	12	297	227	184	90	61	39	422
Paula Doubrawa United States	14	329 1.1×	246 1.1×	151 0.8×	133 1.5×	64 1.0×	41	478
Mithu Debnath United States	14	298 1.0×	283 1.2×	173 0.9×	89 1.0×	39 0.6×	21	417
Wim Munters Belgium	10	526 1.8×	294 1.3×	280 1.5×	61 0.7×	205 3.4×	20	638
Paul Mycek France	8	528 1.8×	95 0.4×	254 1.4×	34 0.4×	73 1.2×	26	665
Tetsuya Kogaki Japan	12	291 1.0×	258 1.1×	128 0.7×	46 0.5×	32 0.5×	36	396
Dries Allaerts Netherlands	10	429 1.4×	357 1.6×	184 1.0×	81 0.9×	78 1.3×	30	473
Matthew Aitken United States	8	359 1.2×	354 1.6×	121 0.7×	131 1.5×	27 0.4×	11	482
Lukas Vollmer Germany	11	327 1.1×	263 1.2×	169 0.9×	48 0.5×	50 0.8×	25	412
Anders Sommer Sweden	4	381 1.3×	300 1.3×	167 0.9×	43 0.5×	69 1.1×	4	418
Stefano Letizia United States	11	307 1.0×	233 1.0×	128 0.7×	23 0.3×	60 1.0×	33	346

Countries citing papers authored by Eliot Quon

Since Specialization

Citations

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

Fields of papers citing papers by Eliot Quon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eliot Quon

This figure shows the co-authorship network connecting the top 25 collaborators of Eliot Quon. A scholar is included among the top collaborators of Eliot Quon 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 Eliot Quon. Eliot Quon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Almgren, Ann, Eliot Quon, Branko Kosović, et al.. (2025). ERF: Energy Research and Forecasting Model. Journal of Advances in Modeling Earth Systems. 17(11).

Quon, Eliot. (2024). Measurement-driven large-eddy simulations of a diurnal cycle during a wake-steering field campaign. Wind energy science. 9(3). 495–518. 2 indexed citations

Shaler, Kelsey, et al.. (2024). Wind farm structural response and wake dynamics for an evolving stable boundary layer: computational and experimental comparisons. Wind energy science. 9(7). 1451–1463. 2 indexed citations

Brandes, David, et al.. (2024). A three-dimensional model of terrain-induced updrafts for movement ecology studies. Movement Ecology. 12(1). 25–25.

Almgren, Ann, Branko Kosović, Jeffrey D. Mirocha, et al.. (2023). ERF: Energy Research and Forecasting. The Journal of Open Source Software. 8(87). 5202–5202. 5 indexed citations

Quon, Eliot, et al.. (2023). Investigations of correlation and coherence in turbulence from a large-eddy simulation. Wind energy science. 8(4). 487–502. 5 indexed citations

Allaerts, Dries, Eliot Quon, & Matthew Churchfield. (2023). Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site. Wind Energy. 26(5). 469–492. 6 indexed citations

Jayaraman, Balaji, et al.. (2023). Interaction of Wind Farms with Offshore Low-level Jets Using Multiscale Large-Eddy Simulations. AIAA SCITECH 2023 Forum.

Moriarty, Patrick, Raghavendra Krishnamurthy, Nicola Bodini, et al.. (2023). Characterization of wind speed and directional shear at the AWAKEN field campaign site. Journal of Renewable and Sustainable Energy. 15(3). 7 indexed citations

10.

Jayaraman, Balaji, et al.. (2022). Structure of Offshore Low-Level Jet Turbulence and Implications to Mesoscale-to-Microscale Coupling. Journal of Physics Conference Series. 2265(2). 22064–22064. 4 indexed citations

11.

Martínez‐Tossas, Luis A., Jennifer King, Eliot Quon, et al.. (2021). The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows. Wind energy science. 6(2). 555–570. 35 indexed citations

12.

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

13.

Annoni, Jennifer, Christopher J. Bay, Kathryn Johnson, et al.. (2019). Wind direction estimation using SCADA data with consensus-based optimization. Wind energy science. 4(2). 355–368. 37 indexed citations

14.

Annoni, Jennifer, Christopher J. Bay, Kathryn Johnson, et al.. (2018). A Framework for Autonomous Wind Farms: Wind Direction Consensus. 4 indexed citations

15.

Quon, Eliot, Matthew Churchfield, Sang Lee, Lawrence Cheung, & Stefan Kern. (2017). Development of a Wind Plant Large-Eddy Simulation with Measurement-Driven Atmospheric Inflow. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

16.

Chwalowski, Pawel & Eliot Quon. (2016). Computational Analysis of the Transonic Dynamics Tunnel Using FUN3D. 54th AIAA Aerospace Sciences Meeting. 6 indexed citations

17.

Quon, Eliot, et al.. (2014). Investigation of Ship Airwakes Using a Hybrid Computational Methodology. 1–14. 6 indexed citations

18.

Quon, Eliot, et al.. (2013). A Novel Computational Approach to High Fidelity Wind Turbine Flow Simulation. 2 indexed citations

19.

Quon, Eliot, et al.. (2012). Unsteady Reynolds-Averaged Navier-Stokes-Based Hybrid Methodologies for Rotor-Fuselage Interaction. Journal of Aircraft. 49(3). 961–965. 17 indexed citations

20.

Quon, Eliot, et al.. (2011). Hierarchical Variable Fidelity Methods for Rotorcraft Aerodynamic Design and Analysis. 2 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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