World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
76
Citations
20303
World Ranking
268
National Ranking
133

Electronics and Electrical Engineering

D-Index
77
Citations
20397
World Ranking
624
National Ranking
279

Warren E. Dixon publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Warren E. Dixon sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 526 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Warren E. Dixon D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Warren E. Dixon sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 76 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Research.com Recognitions

  • 2016 - Fellow of the American Society of Mechanical Engineers

Overview

Warren E. Dixon is affiliated with the University of Florida in the United States and has established a significant research presence primarily in engineering and computer science. Their work primarily focuses on control systems and related computational methods, reflecting extensive expertise across various interrelated domains.

The primary fields of study for this researcher include:

  • Engineering
  • Computer Science

Within these broad fields, their contributions span several subfields including:

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

A detailed look at the main research topics highlights focus areas such as:

  • Adaptive Control of Nonlinear Systems
  • Muscle activation and electromyography studies
  • Adaptive Dynamic Programming Control
  • Advanced Control Systems Optimization
  • Neural Networks and Applications
  • Distributed Control Multi-Agent Systems
  • Neuroscience and Neural Engineering

Dixon's publication record shows frequent contributions to several key journals and conference venues. These include:

  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control Systems Technology
  • IEEE Control Systems Letters
  • arXiv (Cornell University)
  • Automatica

Among recent papers authored by or involving Dixon, several titles exemplify the focus and themes of their work:

  • "Lyapunov-Based Real-Time and Iterative Adjustment of Deep Neural Networks," 2021, IEEE Control Systems Letters
  • "Lyapunov-Based Control of a Nonlinear Multiagent System With a Time-Varying Input Delay Under False-Data-Injection Attacks," 2021, IEEE Transactions on Industrial Informatics
  • "Lyapunov-Derived Control and Adaptive Update Laws for Inner and Outer Layer Weights of a Deep Neural Network," 2021, IEEE Control Systems Letters
  • "Data-based reinforcement learning approximate optimal control for an uncertain nonlinear system with control effectiveness faults," 2020, Automatica
  • "Real-Time Modular Deep Neural Network-Based Adaptive Control of Nonlinear Systems," 2021, IEEE Control Systems Letters

Frequent co-authors contributing to this body of work include:

  • Omkar Sudhir Patil
  • Brendon C. Allen
  • Emily J. Griffis
  • Kimberly J. Stubbs
  • Max L. Greene

Dixon's research intersects control theory, neural network applications, and adaptive systems, often with a focus on nonlinear system control and optimization techniques. The scientific contributions also extend into biomedical aspects, particularly related to muscle activation and neural engineering.

Recognition of the researcher's professional standing includes being named a Fellow of the American Society of Mechanical Engineers in 2016.

Best Publications

  • A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems

    S. Bhasin;R. Kamalapurkar;M. Johnson;K. G. Vamvoudakis

  • Asymptotic Tracking for Systems With Structured and Unstructured Uncertainties

    P.M. Patre;W. MacKunis;C. Makkar;W.E. Dixon

  • Nonlinear Control of Wheeled Mobile Robots

    Warren E. Dixon;Darren M. Dawson;Erkan Zergeroglu;Aman Behal

  • Adaptive Regulation of Amplitude Limited Robot Manipulators With Uncertain Kinematics and Dynamics

    W.E. Dixon

  • Nonlinear coupling control laws for an underactuated overhead crane system

    Y. Fang;W.E. Dixon;D.M. Dawson;E. Zergeroglu

  • Tracking and regulation control of an underactuated surface vessel with nonintegrable dynamics

    A. Behal;D.M. Dawson;W.E. Dixon;Y. Fang

  • Asymptotic Tracking for Uncertain Dynamic Systems Via a Multilayer Neural Network Feedforward and RISE Feedback Control Structure

    P.M. Patre;W. MacKunis;K. Kaiser;W.E. Dixon

  • Lyapunov-Based Tracking Control in the Presence of Uncertain Nonlinear Parameterizable Friction

    C. Makkar;G. Hu;W.G. Sawyer;W.E. Dixon

  • A new continuously differentiable friction model for control systems design

    C. Makkar;W.E. Dixon;W.G. Sawyer;G. Hu

  • Nonlinear Control of Engineering Systems: A Lyapunov-Based Approach

    Warren E. Dixon

  • Repetitive learning control: a Lyapunov-based approach

    W.E. Dixon;E. Zergeroglu;D.M. Dawson;B.T. Costic

  • Adaptive tracking control of a wheeled mobile robot via an uncalibrated camera system

    W.E. Dixon;D.M. Dawson;E. Zergeroglu;A. Behal

  • Homography-based visual servo regulation of mobile robots

    Yongchun Fang;W.E. Dixon;D.M. Dawson;P. Chawda

  • Event-Triggered Control of Multiagent Systems for Fixed and Time-Varying Network Topologies

    Teng-Hu Cheng;Zhen Kan;Justin R. Klotz;John M. Shea

  • Homography-based visual servo tracking control of a wheeled mobile robot

    Jian Chen;W.E. Dixon;M. Dawson;M. McIntyre

  • LaSalle-Yoshizawa Corollaries for Nonsmooth Systems

    Nicholas Fischer;Rushikesh Kamalapurkar;Warren E. Dixon

  • Nonlinear RISE-Based Control of an Autonomous Underwater Vehicle

    Nicholas R. Fischer;Devin Hughes;Patrick Walters;Eric M. Schwartz

  • Concurrent Learning for Parameter Estimation Using Dynamic State-Derivative Estimators

    Rushikesh Kamalapurkar;Benjamin Reish;Girish Chowdhary;Warren E. Dixon

  • Approximate optimal trajectory tracking for continuous-time nonlinear systems

    Rushikesh Kamalapurkar;Huyen Dinh;Shubhendu Bhasin;Warren E. Dixon

  • Fault detection for robot manipulators with parametric uncertainty: a prediction error based approach

    W.E. Dixon;I.D. Walker;D.M. Dawson;J.P. Hartranft

  • Global adaptive output feedback tracking control of robot manipulators

    F. Zhang;D.M. Dawson;M.S. de Queiroz;W.E. Dixon

Frequent Co-Authors

Darren M. Dawson
Darren M. Dawson Methode Electronics
Guoqiang Hu
Guoqiang Hu Nanyang Technological University
Aman Behal
Aman Behal University of Central Florida
Yongchun Fang
Yongchun Fang Nankai University
Andrew R. Teel
Andrew R. Teel University of California, Santa Barbara
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Prabir Barooah
Prabir Barooah University of Florida
Ian D. Walker
Ian D. Walker Clemson University
Kyriakos G. Vamvoudakis
Kyriakos G. Vamvoudakis Georgia Institute of Technology
Donald C. Bolser
Donald C. Bolser University of Florida

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