World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
146
Citations
108181
World Ranking
20
National Ranking
11

Frank L. Lewis 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 Frank L. Lewis 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: 1,164 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Frank L. Lewis 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 Frank L. Lewis 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: 146 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow, National Academy of Inventors
  • 2008 - Fellow of the International Federation of Automatic Control (IFAC)
  • 1994 - IEEE Fellow For contributions to descriptor systems and to control system education.

Overview

Frank L. Lewis is affiliated with The University of Texas at Arlington in the United States. Their research spans multiple domains within computer science and engineering, with a significant focus on control systems and adaptive algorithms.

The scientist has contributed extensively to fields including:

  • Computer Science
  • Engineering

Within these broader fields, their work often addresses specific subfields such as:

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Their main topics of investigation include:

  • Adaptive Dynamic Programming Control
  • Adaptive Control of Nonlinear Systems
  • Reinforcement Learning in Robotics
  • Distributed Control Multi-Agent Systems
  • Neural Networks Stability and Synchronization
  • Mechanical Circulatory Support Devices
  • Advanced Control Systems Optimization

Frank L. Lewis has published research papers in various venues, most notably in the following journals:

  • IEEE Transactions on Cybernetics
  • Automatica
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Automatic Control

Recent notable papers include:

  • "Prescribed-Time Control and Its Latest Developments," 2023, IEEE Transactions on Systems Man and Cybernetics Systems
  • "Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications," 2023, IEEE/CAA Journal of Automatica Sinica
  • "Data-Driven Fault-Tolerant Control for Attitude Synchronization of Nonlinear Quadrotors," 2021, IEEE Transactions on Automatic Control
  • "Value iteration and adaptive optimal output regulation with assured convergence rate," 2022, Control Engineering Practice
  • "Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning," 2020, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with others in the field. Their prominent coauthors include:

  • Bosen Lian
  • Wenqian Xue
  • Tianyou Chai
  • Yongduan Song
  • Yan Wan

In addition to academic papers, Frank L. Lewis has contributed to book publications with Springer Nature, including:

  • Reinforcement Learning, 2023
  • Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games, 2024

The scientist has received several awards throughout their career, such as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2016
  • Fellow, National Academy of Inventors, 2013
  • Fellow of the International Federation of Automatic Control (IFAC), 2008
  • IEEE Fellow, 1994, recognized for contributions to descriptor systems and control system education

Best Publications

  • Aircraft Control and Simulation: Dynamics, Controls Design, and Autonomous Systems

    Brian L. Stevens;Frank L. Lewis;Eric N. Johnson

  • Optimal Control

    Frank L. Lewis

  • Aircraft Control and Simulation

    Brian L. Stevens;Frank L. Lewis

  • Neural Network Control of Robot Manipulators and Nonlinear Systems

    F. L. Lewis;A. Yesildirak;Suresh Jagannathan

  • A survey of linear singular systems

    F. L. Lewis

  • Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem

    Kyriakos G. Vamvoudakis;Frank L. Lewis

  • Control of Robot Manipulators

    Frank L. Lewis;D. M. Dawson;C. T. Abdallah

  • Reinforcement learning and adaptive dynamic programming for feedback control

    F.L. Lewis;D. Vrabie

  • Optimal Control: Lewis/Optimal Control 3e

    Frank L. Lewis;Draguna L. Vrabie;Vassilis L. Syrmos

  • Optimal Estimation: With an Introduction to Stochastic Control Theory

    Frank L. Lewis

  • Intelligent Fault Diagnosis and Prognosis for Engineering Systems

    George Vachtsevanos;Frank Lewis;Michael Roemer;Andrew Hess

  • Robot Manipulator Control: Theory and Practice

    Frank L. Lewis;Darren M. Dawson;Chaouki T. Abdallah

  • Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

    Murad Abu-Khalaf;Frank L. Lewis

  • Control of a nonholomic mobile robot: Backstepping kinematics into dynamics

    Rafael Fierro;Frank L. Lewis

  • Multilayer neural-net robot controller with guaranteed tracking performance

    F.L. Lewis;A. Yesildirek;Kai Liu

  • Wireless Sensor Networks

    Frank L. Lewis

  • Discrete-Time Nonlinear HJB Solution Using Approximate Dynamic Programming: Convergence Proof

    A. Al-Tamimi;F.L. Lewis;M. Abu-Khalaf

  • Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers

    F. L. Lewis;D. Vrabie;K. G. Vamvoudakis

  • Brief paper: Adaptive optimal control for continuous-time linear systems based on policy iteration

    D. Vrabie;O. Pastravanu;M. Abu-Khalaf;F. L. Lewis

  • Control of a nonholonomic mobile robot using neural networks

    R. Fierro;F.L. Lewis

Frequent Co-Authors

Ali Davoudi
Ali Davoudi The University of Texas at Arlington
Kyriakos G. Vamvoudakis
Kyriakos G. Vamvoudakis Georgia Institute of Technology
Hamidreza Modares
Hamidreza Modares Michigan State University
Yan Wan
Yan Wan The University of Texas at Arlington
Sarangapani Jagannathan
Sarangapani Jagannathan Missouri University of Science and Technology
Chaouki T. Abdallah
Chaouki T. Abdallah Georgia Institute of Technology
Shuzhi Sam Ge
Shuzhi Sam Ge National University of Singapore
Yongduan Song
Yongduan Song Chongqing University
Lihua Xie
Lihua Xie Nanyang Technological University
Tianyou Chai
Tianyou Chai Northeastern University

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