Matthew Churchfield

6.3k total citations · 2 hit papers
112 papers, 4.2k citations indexed

About

Matthew Churchfield is a scholar working on Aerospace Engineering, Environmental Engineering and Computational Mechanics. According to data from OpenAlex, Matthew Churchfield has authored 112 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Aerospace Engineering, 83 papers in Environmental Engineering and 56 papers in Computational Mechanics. Recurrent topics in Matthew Churchfield's work include Wind Energy Research and Development (92 papers), Wind and Air Flow Studies (81 papers) and Fluid Dynamics and Vibration Analysis (39 papers). Matthew Churchfield is often cited by papers focused on Wind Energy Research and Development (92 papers), Wind and Air Flow Studies (81 papers) and Fluid Dynamics and Vibration Analysis (39 papers). Matthew Churchfield collaborates with scholars based in United States, Netherlands and Denmark. Matthew Churchfield's co-authors include Patrick Moriarty, Sang Lee, Luis A. Martínez‐Tossas, John Michalakes, Paul Fleming, Stefano Leonardi, Kathryn Johnson, Pieter Gebraad, Philippe R. Spalart and Charles Meneveau and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Renewable Energy.

In The Last Decade

Matthew Churchfield

111 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics

2012 466 citations Matthew Churchfield, Sang Lee et al. profile →
Evaluating techniques for redirecting turbine wakes using SOWFA

2014 354 citations Paul Fleming, Sang Lee et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Churchfield United States	31	3.7k	2.5k	2.1k	802	337	112	4.2k
Gunner Chr. Larsen Denmark	29	3.3k 0.9×	2.4k 1.0×	1.4k 0.7×	751 0.9×	164 0.5×	155	3.8k
Sten Tronæs Frandsen United Kingdom	22	3.4k 0.9×	2.4k 1.0×	1.3k 0.6×	818 1.0×	133 0.4×	71	3.7k
Niels N. Sørensen Denmark	41	5.2k 1.4×	3.7k 1.5×	3.7k 1.8×	255 0.3×	257 0.8×	226	6.1k
Wen Zhong Shen Denmark	42	5.0k 1.4×	2.9k 1.2×	2.8k 1.4×	707 0.9×	72 0.2×	217	5.9k
Martin Kühn Germany	28	2.1k 0.6×	1.3k 0.5×	707 0.3×	902 1.1×	283 0.8×	172	2.8k
Pierre‐Elouan Réthoré Denmark	26	2.4k 0.6×	1.6k 0.6×	931 0.4×	542 0.7×	186 0.6×	90	2.7k
Luciano Castillo United States	30	1.5k 0.4×	1.4k 0.6×	1.8k 0.9×	429 0.5×	142 0.4×	156	3.2k
Robert Mikkelsen Denmark	31	3.4k 0.9×	2.2k 0.9×	2.5k 1.2×	271 0.3×	42 0.1×	129	3.8k
Yuji Ohya Japan	28	1.9k 0.5×	1.7k 0.7×	1.3k 0.6×	124 0.2×	352 1.0×	131	3.0k
J.G. Schepers Netherlands	23	2.3k 0.6×	1.5k 0.6×	1.0k 0.5×	348 0.4×	51 0.2×	62	2.4k

Countries citing papers authored by Matthew Churchfield

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Churchfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Churchfield

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Churchfield. A scholar is included among the top collaborators of Matthew Churchfield 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 Matthew Churchfield. Matthew Churchfield 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

Kühn, Michael, Marc Henry de Frahan, Georgios Deskos, et al.. (2025). AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations. Wind Energy. 28(5). 3 indexed citations

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

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

Bay, Christopher J., Paul Fleming, Bart Doekemeijer, et al.. (2023). Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model. Wind energy science. 8(3). 401–419. 21 indexed citations

Cheung, Lawrence H., et al.. (2022). A hub-mounted SpinnerLidar for the RAAW Experiment.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Martínez‐Tossas, Luis A., Jennifer Annoni, Paul Fleming, & Matthew Churchfield. (2019). The aerodynamics of the curled wake: a simplified model in view of flow control. Wind energy science. 4(1). 127–138. 126 indexed citations

Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2018). Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications. Wind energy science. 3(2). 589–613. 26 indexed citations

Martínez‐Tossas, Luis A., Jennifer Annoni, Paul Fleming, & Matthew Churchfield. (2018). The Aerodynamics of the Curled Wake: A Simplified Model in View of Flow Control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations

Fleming, Paul, Jennifer Annoni, Matthew Churchfield, et al.. (2018). A simulation study demonstrating the importance of large-scale trailing vortices in wake steering. Wind energy science. 3(1). 243–255. 90 indexed citations

10.

Tomaszewski, Jessica, Julie K. Lundquist, Matthew Churchfield, & Patrick Moriarty. (2018). Do wind turbines pose roll hazards to light aircraft?. Wind energy science. 3(2). 833–843. 10 indexed citations

11.

Tomaszewski, Jessica, Julie K. Lundquist, Matthew Churchfield, & Patrick Moriarty. (2018). Do Wind Turbines Pose Roll Hazards to Light Aircraft?. Biogeosciences (European Geosciences Union). 1 indexed citations

12.

Rodrigo, Javier Sanz, Matthew Churchfield, & Branko Kosović. (2017). A methodology for the design and testing of atmospheric boundary layer models for wind energy applications. Wind energy science. 2(1). 35–54. 22 indexed citations

13.

Fleming, Paul, Jennifer Annoni, Matthew Churchfield, et al.. (2017). From wake steering to flow control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

14.

Mirocha, Jeffrey D., Matthew Churchfield, Domingo Muñoz‐Esparza, et al.. (2017). Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations

15.

Rodrigo, Javier Sanz, Matthew Churchfield, & Branko Kosović. (2016). Atmospheric boundary layer modeling based on mesoscale tendencies and data assimilation at microscale. 2 indexed citations

16.

Lundquist, Julie K., Matthew Churchfield, Sang Lee, & Andrew Clifton. (2015). Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics. Atmospheric measurement techniques. 8(2). 907–920. 84 indexed citations

17.

Churchfield, Matthew, et al.. (2014). Large-Eddy Simulations of Wind Turbine Wakes Subject to Different Atmospheric Stabilities. AGU Fall Meeting Abstracts. 2014. 2 indexed citations

18.

Aho, Jacob, Andrew Buckspan, Jason Laks, et al.. (2012). Tutorial of Wind Turbine Control for Supporting Grid Frequency through Active Power Control: Preprint. University of North Texas Digital Library (University of North Texas). 15 indexed citations

19.

Churchfield, Matthew, Ganesh Vijayakumar, James G. Brasseur, & Patrick Moriarty. (2010). Wind Energy-Related Atmospheric Boundary Layer Large-Eddy Simulation Using OpenFOAM: Preprint. University of North Texas Digital Library (University of North Texas). 20 indexed citations

20.

Churchfield, Matthew. (2009). The lag RST turbulence model applied to vortical flows. Purdue e-Pubs (Purdue University System). 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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