World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
47
Citations
8885
World Ranking
3223
National Ranking
1201

Howard Jay Chizeck 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 Howard Jay Chizeck 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: 211 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Howard Jay Chizeck 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 Howard Jay Chizeck 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: 47 D-Index — 54th percentile

54% 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

  • 2011 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1999 - IEEE Fellow For contributions to the use of control system theory in biomedical engineering.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Statistics

His main research concerns Control theory, Control theory, Jump process, Markov process and Linear system. His Control theory research incorporates themes from Isometric exercise and Biomechanics. The study incorporates disciplines such as Gait, Effect of gait parameters on energetic cost, Gait analysis, Simulation and Work in addition to Control theory.

Howard J. Chizeck interconnects Stochastic process and Lyapunov exponent in the investigation of issues within Markov process. His study in Optimal control is interdisciplinary in nature, drawing from both Observability and Controllability. His Observability research integrates issues from Lyapunov function and Linear-quadratic regulator.

His most cited work include:

  • Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control (828 citations)
  • Stochastic stability properties of jump linear systems (642 citations)
  • Discrete-time Markovian-jump linear quadratic optimal control (209 citations)

What are the main themes of his work throughout his whole career to date?

Howard J. Chizeck focuses on Control theory, Control theory, Control system, Physical medicine and rehabilitation and Adaptive control. While the research belongs to areas of Control theory, Howard J. Chizeck spends his time largely on the problem of Control engineering, intersecting his research to questions surrounding Model predictive control. The various areas that Howard J. Chizeck examines in his Control theory study include Gait, Trajectory, Isometric exercise and Identification.

His Control system study incorporates themes from Orthotics, Open-loop controller and Torque. His work on Essential tremor as part of general Physical medicine and rehabilitation research is frequently linked to Deep brain stimulation, thereby connecting diverse disciplines of science. As a part of the same scientific study, Howard J. Chizeck usually deals with the Linear system, concentrating on Observability and frequently concerns with Controllability.

He most often published in these fields:

  • Control theory (40.49%)
  • Control theory (19.51%)
  • Control system (14.63%)

What were the highlights of his more recent work (between 2010-2020)?

  • Deep brain stimulation (9.27%)
  • Haptic technology (7.32%)
  • Essential tremor (7.32%)

In recent papers he was focusing on the following fields of study:

Howard J. Chizeck mainly investigates Deep brain stimulation, Haptic technology, Essential tremor, Artificial intelligence and Computer vision. His Haptic technology research is multidisciplinary, relying on both Robot, Teleoperation, Virtual fixture and Point cloud. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Interface.

Howard J. Chizeck has researched Computer vision in several fields, including Event, Decoding methods, Neural coding and Authentication. Howard J. Chizeck integrates many fields, such as Control, Optimal control and Control theory, in his works. In general Control theory, his work in Feed forward and Control theory is often linked to Fiber linking many areas of study.

Between 2010 and 2020, his most popular works were:

  • Adaptive deep brain stimulation for Parkinson's disease using motor cortex sensing. (124 citations)
  • Creating the feedback loop: closed-loop neurostimulation. (71 citations)
  • Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson's Disease (69 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Control theory

His scientific interests lie mostly in Deep brain stimulation, Haptic technology, Point cloud, Neuroscience and Brain–computer interface. His biological study spans a wide range of topics, including Control engineering, Power transmission and Control theory. His Point cloud study combines topics from a wide range of disciplines, such as RGB color model, Proxy and Haptic rendering.

In the field of Neuroscience, his study on Stimulation overlaps with subjects such as Subthalamic nucleus. His Simulation research is multidisciplinary, incorporating elements of Telerobotic surgery, Robotic surgery, Virtual machine and Virtual fixture. In the subject of general Artificial intelligence, his work in Teleoperation is often linked to Surgical robotics, Beating heart and Telerobotics, thereby combining diverse domains of study.

Best Publications

  • Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control

    Y. Ji;H.J. Chizeck

  • Stochastic stability properties of jump linear systems

    X. Feng;K.A. Loparo;Y. Ji;H.J. Chizeck

  • Discrete-time Markovian-jump linear quadratic optimal control

    H. J. Chizeck;A. S. Willsky;D. Castanon

  • Neural network control of functional neuromuscular stimulation systems: computer simulation studies

    J.J. Abbas;H.J. Chizeck

  • Real-time gait event detection for paraplegic FES walking

    M.M. Skelly;H.J. Chizeck

  • Controllability, observability and discrete-time markovian jump linear quadratic control

    Yuandong Ji;Howard J. Chizeck

  • Foot force sensor

    Robert N. Schmidt;Howard J. Chizeck;Richard S. Diefes

  • Feedback regulation of hand grasp opening and contact force during stimulation of paralyzed muscle

    P.E. Crago;R.J. Nakai;H.J. Chizeck

  • A Discrete-Time Model of Electrcally Stimulated Muscle

    Leonas A. Bernotas;Patrick E. Crago;Howard J. Chizeck

  • Jump linear quadratic Gaussian control in continuous time

    Y. Ji;H.J. Chizeck

  • Nonlinear joint angle control for artificially stimulated muscle

    P.H. Veltink;H.J. Chizeck;P.E. Crago;A. El-Bialy

  • Fuzzy model identification for classification of gait events in paraplegics

    San Kuen Ng;H.J. Chizeck

  • Feedback control of coronal plane hip angle in paraplegic subjects using functional neuromuscular stimulation

    J.J. Abbas;H.J. Chizeck

  • Chronic electrocorticography for sensing movement intention and closed-loop deep brain stimulation with wearable sensors in an essential tremor patient.

    Jeffrey A Herron;Margaret C Thompson;Timothy Brown;Howard J Chizeck

  • Adaptive Control of Electrically Stimulated Muscle

    Leonas A. Bernotas;Patrick E. Crago;Howard J. Chizeck

  • Recursive parameter identification of constrained systems: an application to electrically stimulated muscle

    T.L. Chia;P.-C. Chow;H.J. Chizeck

  • The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments

    Jeff A. Bilmes;Xiao Li;Jonathan Malkin;Kelley Kilanski

  • Adaptive Multivarable Drug Delivery: Control of Artenal Pressure and Cardiac Output in Anesthetized Dogs

    Gregory I. Voss;Peter G. Katona;Howard J. Chizeck

  • Feedback control of electrically stimulated muscle using simultaneous pulse width and stimulus period modulation

    H.J. Chizeck;N. Lan;L.S. Palmieri;P.E. Crago

  • Robust closed-loop control of isometric muscle force using pulsewidth modulation

    H.J. Chizeck;P.E. Crago;L.S. Kofman

Frequent Co-Authors

Patrick E. Crago
Patrick E. Crago Case Western Reserve University
Blake Hannaford
Blake Hannaford University of Washington
Helen Bronte-Stewart
Helen Bronte-Stewart Stanford University
Les Atlas
Les Atlas University of Washington
Wei Lin
Wei Lin Case Western Reserve University
Michael S. Okun
Michael S. Okun University of Florida
Nader Pouratian
Nader Pouratian University of California, Los Angeles
Jill L. Ostrem
Jill L. Ostrem University of California, San Francisco
Philip A. Starr
Philip A. Starr University of California, San Francisco

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