World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
14999
World Ranking
1443
National Ranking
594

Lucy Y. Pao publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Lucy Y. Pao sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 306 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Lucy Y. Pao D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Lucy Y. Pao sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2012 - IEEE Fellow For contributions to feedforward and feedback control systems
  • 2011 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Lucy Y. Pao is affiliated with the University of Colorado Boulder in the United States. The primary discipline of their research is engineering, with a significant focus on subfields such as aerospace engineering, electrical and electronic engineering, ocean engineering, computational mechanics, and control and systems engineering.

Their research activities concentrate on topics including wind energy research and development, wind turbine control systems, wave and wind energy systems, fluid dynamics and vibration analysis, wind and air flow studies, real-time simulation and control systems, and energy load and power forecasting.

Frequent coauthors collaborating with Lucy Y. Pao include Mandar Phadnis, Daniel Zalkind, Eric Loth, Kathryn Johnson, and Manuel Pusch.

Lucy Y. Pao has published primarily in these venues:

  • Journal of Physics Conference Series
  • Wind Energy
  • IEEE Control Systems
  • Wind energy science
  • Renewable Energy

Some of their recent papers are:

  • "A reference open-source controller for fixed and floating offshore wind turbines," 2022, Wind energy science
  • "Grand challenges in the design, manufacture, and operation of future wind turbine systems," 2023, Wind energy science
  • "Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy," 2021, Annual Reviews in Control
  • "An Update to the National Renewable Energy Laboratory Baseline Wind Turbine Controller," 2020, Journal of Physics Conference Series
  • "Model Predictive Active Power Control for Optimal Structural Load Equalization in Waked Wind Farms," 2021, IEEE Transactions on Control Systems Technology

Lucy Y. Pao has been recognized as an IEEE Fellow for contributions to feedforward and feedback control systems in 2012. The researcher was also named a Fellow of the International Federation of Automatic Control (IFAC) in 2011.

Best Publications

  • Grand challenges in the science of wind energy

    Paul Veers;Katherine Dykes;Eric Lantz;Stephan Barth

  • Control of variable-speed wind turbines: standard and adaptive techniques for maximizing energy capture

    K.E. Johnson;L.Y. Pao;M.J. Balas;L.J. Fingersh

  • 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

  • A tutorial on the dynamics and control of wind turbines and wind farms

    Lucy Y. Pao;Kathryn E. Johnson

  • Control of Wind Turbines

    L Y Pao;K E Johnson

  • A Model-Free Approach to Wind Farm Control Using Game Theoretic Methods

    J. R. Marden;S. D. Ruben;L. Y. Pao

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

    Jacob Aho;Andrew Buckspan;Jason Laks;Paul Fleming

  • Control of wind turbines: Past, present, and future

    Jason H. Laks;Lucy Y. Pao;Alan D. Wright

  • A Tutorial on the Mechanisms, Dynamics, and Control of Atomic Force Microscopes

    D.Y. Abramovitch;S.B. Andersson;L.Y. Pao;G. Schitter

  • Methods for Increasing Region 2 Power Capture on a Variable-Speed Wind Turbine

    Kathryn E. Johnson;Lee J. Fingersh;Mark J. Balas;Lucy Y. Pao

  • Proximate Time-Optimal Digital Control for Synchronous Buck DC–DC Converters

    V. Yousefzadeh;A. Babazadeh;B. Ramachandran;E. Alarcon

  • Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems☆

    J.A. Butterworth;L.Y. Pao;D.Y. Abramovitch

  • Rate-hardness: a new performance metric for haptic interfaces

    D.A. Lawrence;L.Y. Pao;A.M. Dougherty;M.A. Salada

  • Active Power Controls from Wind Power: Bridging the Gaps

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

  • Achieving Pareto Optimality Through Distributed Learning

    Jason R. Marden;H. Peyton Young;Lucy Y. Pao

  • Nonminimum Phase Dynamic Inversion for Settle Time Applications

    B.P. Rigney;L.Y. Pao;D.A. Lawrence

  • Gearbox and Drivetrain Models to Study Dynamic Effects of Modern Wind Turbines

    Irving P. Girsang;Jaspreet S. Dhupia;Eduard Muljadi;Mohit Singh

  • 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

  • Characterization of wind velocities in the upstream induction zone of a wind turbine using scanning continuous-wave lidars

    Eric Simley;Nikolas Angelou;Torben Krogh Mikkelsen;Mikael Sjöholm

  • Minimum-time control characteristics of flexible structures

    Lucy Y. Pao

  • A Reference Open-Source Controller for Fixed and Floating Offshore Wind Turbines

    Nikhar Abbas;Nikhar Abbas;Daniel Zalkind;Lucy Pao;Alan Wright

  • Optimal Control of Wind Energy Systems: Towards a Global Approach (Munteanu, I. et al.; 2008) [Bookshelf]

    Jason H. Laks;Lucy Y. Pao

  • STANDARD AND ADAPTIVE TECHNIQUES FOR MAXIMIZING ENERGY CAPTURE

    Kathryn E. Johnson;Lucy Y. Pao;Mark J. Balas;Lee J. Fingersh

Frequent Co-Authors

Paul Fleming
Paul Fleming National Renewable Energy Laboratory
William Singhose
William Singhose Georgia Institute of Technology
Mark J. Balas
Mark J. Balas Texas A&M University
Jason R. Marden
Jason R. Marden University of California, Santa Barbara
Jan-Willem van Wingerden
Jan-Willem van Wingerden Delft University of Technology
David Schlipf
David Schlipf Flensburg University of Applied Sciences
Michael G. Safonov
Michael G. Safonov University of Southern California
Eric Loth
Eric Loth University of Virginia

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