2026 Paul Fleming: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	54	3244	3106	959	874	155	9765

Overview

Paul Fleming is affiliated with the National Renewable Energy Laboratory in the United States. Their research primarily focuses on wind energy, specifically in areas related to wind turbine control systems and aerodynamics.

The main fields of study in their work include:

Engineering
Environmental Science

Within these fields, Paul Fleming's work specializes in subfields such as:

Aerospace Engineering
Environmental Engineering
Electrical and Electronic Engineering
Computational Mechanics
Artificial Intelligence

The primary topics covered in their research publications consist of:

Wind Energy Research and Development
Wind and Air Flow Studies
Wind Turbine Control Systems
Aerodynamics and Fluid Dynamics Research
Fluid Dynamics and Vibration Analysis
Energy Load and Power Forecasting
Solar Radiation and Photovoltaics

Paul Fleming has coauthored extensively with several researchers, including:

Eric Simley
Jennifer King
Christopher J. Bay
Rafael Mudafort
Luis A. Martínez-Tossas

Their recent scholarly articles include:

"Wind farm flow control: prospects and challenges" (2022, Wind energy science)
"Control-oriented model for secondary effects of wake steering" (2021, Wind energy science)
"Continued results from a field campaign of wake steering applied at a commercial wind farm - Part 2" (2020, Wind energy science)
"Design and analysis of a wake steering controller with wind direction variability" (2020, Wind energy science)
"Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance" (2021, Wind energy science)

They have contributed to different publication venues, with the most frequent being:

Wind energy science
Journal of Physics Conference Series
Journal of Renewable and Sustainable Energy
Energies
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Paul Fleming has also published a book titled Exemplarity and Mediocrity (2020) under Stanford University Press eBooks.

Best Publications

Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study

P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;Paul A. Fleming

764
Citations
Evaluating techniques for redirecting turbine wakes using SOWFA

Paul A. Fleming;Pieter M.O. Gebraad;Sang Lee;Jan-Willem van Wingerden

518
Citations
Simulation comparison of wake mitigation control strategies for a two-turbine case

Paul Fleming;Pieter M.O. Gebraad;Sang Lee;Jan-Willem van Wingerden

394
Citations
A tutorial of wind turbine control for supporting grid frequency through active power control

Jacob Aho;Andrew Buckspan;Jason Laks;Paul Fleming

348
Citations
Field test of wake steering at an offshore wind farm

Paul Fleming;Jennifer Annoni;Jigar J. Shah;Linpeng Wang

334
Citations
Maximization of the annual energy production of wind power plants by optimization of layout and yaw‐based wake control

Pieter Gebraad;Jared J. Thomas;Andrew Ning;Paul Fleming

286
Citations
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1

Paul Fleming;Jennifer King;Katherine Dykes;Eric Simley

265
Citations
Wind plant system engineering through optimization of layout and yaw control

Paul A. Fleming;Andrew Ning;Pieter M. O. Gebraad;Katherine Dykes

259
Citations
Wind farm flow control: prospects and challenges

Unknown

244
Citations
Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model

Jennifer Annoni;Pieter M. O. Gebraad;Andrew K. Scholbrock;Paul A. Fleming

238
Citations
A tutorial on control-oriented modeling and control of wind farms

S. Boersma;B.M. Doekemeijer;P.M.O. Gebraad;P.A. Fleming

232
Citations
Use of SCADA Data for Failure Detection in Wind Turbines

Kyusung Kim;Girija Parthasarathy;Onder Uluyol;Wendy Foslien

191
Citations
The aerodynamics of the curled wake: a simplified model in view of flow control

Luis A. Martínez-Tossas;Jennifer Annoni;Paul A. Fleming;Matthew J. Churchfield

186
Citations
Active Power Controls from Wind Power: Bridging the Gaps

E. Ela;V. Gevorgian;P. Fleming;Y. C. Zhang

173
Citations
Using machine learning to predict wind turbine power output

a Clifton;L Kilcher;Julie K Lundquist;Julie K Lundquist;P Fleming

140
Citations
Analysis of control-oriented wake modeling tools using lidar field results

Jennifer Annoni;Paul Fleming;Andrew Scholbrock;Jason Roadman

136
Citations
Assessment of wind turbine component loads under yaw-offset conditions

Rick Damiani;Scott Dana;Jennifer Annoni;Paul Fleming

132
Citations
A data-driven model for wind plant power optimization by yaw control

P. M. O. Gebraad;F. W. Teeuwisse;J. W. van Wingerden;P. A. Fleming

130
Citations
A simulation study demonstrating the importance of large-scale trailing vortices in wake steering

Paul Fleming;Jennifer Annoni;Matthew Churchfield;Luis A. Martinez-Tossas

129
Citations
Field-test results using a nacelle-mounted lidar for improving wind turbine power capture by reducing yaw misalignment

P A Fleming;A K Scholbrock;A Jehu;S Davoust

127
Citations
Control-oriented model for secondary effects of wake steering

Jennifer King;Paul Fleming;Ryan King;Luis A. Martínez-Tossas

127
Citations
Validation of Individual Pitch Control by Field Tests on Two- and Three-Bladed Wind Turbines

E. A. Bossanyi;P. A. Fleming;A. D. Wright

123
Citations
High-fidelity simulation comparison of wake mitigation control strategies for a two-turbine case

P. Fleming;P. Gebraad;S. Lee;K. Johnson

18
Citations