World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
49
Citations
10763
World Ranking
1212
National Ranking
489

Electronics and Electrical Engineering

D-Index
49
Citations
10758
World Ranking
2914
National Ranking
1106

James E. Bobrow 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 James E. Bobrow 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: 115 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

James E. Bobrow 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 James E. Bobrow 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: 49 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Control theory
  • Artificial intelligence

James E. Bobrow mostly deals with Control theory, Robot, Control engineering, Simulation and Actuator. His research integrates issues of Range and Position in his study of Control theory. His Robot research includes elements of Gait training, Pneumatic actuator and Physical medicine and rehabilitation.

His work on Control theory, Servomechanism and Assist as needed as part of general Control engineering research is frequently linked to Neurophysiology, bridging the gap between disciplines. His Simulation study also includes

  • Robot control which intersects with area such as Work, Adaptive control, Neurorehabilitation and Treadmill,
  • Rehabilitation robotics and related Powered exoskeleton. His Actuator research incorporates elements of Workspace, Optimal control and Trajectory.

His most cited work include:

  • Time-Optimal Control of Robotic Manipulators Along Specified Paths: (1069 citations)
  • Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation (337 citations)
  • Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment (286 citations)

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

James E. Bobrow spends much of his time researching Control theory, Robot, Control engineering, Simulation and Optimal control. His study in Actuator, Torque, Nonlinear system, Control system and Control theory is carried out as part of his studies in Control theory. His study looks at the relationship between Torque and topics such as Motion control, which overlap with Robot kinematics.

His Robot study combines topics in areas such as Rehabilitation, Pneumatic actuator and Robotic arm. The various areas that James E. Bobrow examines in his Simulation study include Motion, Treadmill, Pneumatic cylinder, Rehabilitation robotics and Robot control. His Optimal control research incorporates themes from Robot end effector, Sequential quadratic programming and Underactuation.

He most often published in these fields:

  • Control theory (44.44%)
  • Robot (32.48%)
  • Control engineering (19.66%)

What were the highlights of his more recent work (between 2007-2015)?

  • Artificial intelligence (17.09%)
  • Robotics (15.38%)
  • Simulation (18.80%)

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

His main research concerns Artificial intelligence, Robotics, Simulation, Robot and Physical medicine and rehabilitation. His research in Artificial intelligence intersects with topics in Machine learning, Mathematical optimization and Exoskeleton. His studies in Robotics integrate themes in fields like Neurorehabilitation, Control theory, Vehicle dynamics, Robotic arm and Rollover.

Control theory is a subfield of Control theory that he explores. His Simulation research also works with subjects such as

  • Rehabilitation robotics that connect with fields like Motor control, Control engineering and Biomechanics,
  • Parallel manipulator that intertwine with fields like Torque, Motion control and Mechanism. His Robot research includes themes of Pneumatic actuator, Wrist and Forearm.

Between 2007 and 2015, his most popular works were:

  • Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation (337 citations)
  • Optimization of a Parallel Shoulder Mechanism to Achieve a High-Force, Low-Mass, Robotic-Arm Exoskeleton (70 citations)
  • A crossover pilot study evaluating the functional outcomes of two different types of robotic movement training in chronic stroke survivors using the arm exoskeleton BONES (69 citations)

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

  • Mechanical engineering
  • Artificial intelligence
  • Control theory

The scientist’s investigation covers issues in Artificial intelligence, Robotics, Exoskeleton, Physical medicine and rehabilitation and Physical therapy. James E. Bobrow studies Artificial intelligence, namely Robotic arm. James E. Bobrow combines subjects such as Parallel manipulator, Simulation, Torque and Motion control with his study of Robotic arm.

His studies deal with areas such as Control engineering and Rehabilitation robotics as well as Torque. As part of one scientific family, James E. Bobrow deals mainly with the area of Exoskeleton, narrowing it down to issues related to the Mechanism, and often Pneumatic actuator, Elbow and Anatomy. James E. Bobrow has researched Physical medicine and rehabilitation in several fields, including Hand strength, Grip strength and Robot.

Best Publications

  • Time-Optimal Control of Robotic Manipulators Along Specified Paths:

    J.E. Bobrow;S. Dubowsky;J.S. Gibson

  • Optimizing Compliant, Model-Based Robotic Assistance to Promote Neurorehabilitation

    E.T. Wolbrecht;V. Chan;D.J. Reinkensmeyer;J.E. Bobrow

  • A Lie group formulation of robot dynamics

    F. C. Park;J. E. Bobrow;S. R. Ploen

  • Automating Arm Movement Training Following Severe Stroke: Functional Exercises With Quantitative Feedback in a Gravity-Reduced Environment

    R.J. Sanchez;Jiayin Liu;S. Rao;P. Shah

  • Experiments and simulations on the nonlinear control of a hydraulic servosystem

    G.A. Sohl;J.E. Bobrow

  • Optimal robot plant planning using the minimum-time criterion

    J.E. Bobrow

  • Motor adaptation as a greedy optimization of error and effort.

    Jeremy L. Emken;Raul Benitez;Athanasios Sideris;James E. Bobrow

  • A Robot and Control Algorithm That Can Synchronously Assist in Naturalistic Motion During Body-Weight-Supported Gait Training Following Neurologic Injury

    D. Aoyagi;W.E. Ichinose;S.J. Harkema;D.J. Reinkensmeyer

  • Modeling, identification, and control of a pneumatically actuated, force controllable robot

    J.E. Bobrow;B.W. McDonell

  • An Analysis of a Pneumatic Servo System and Its Application to a Computer-Controlled Robot

    S. Liu;J. E. Bobrow

  • NC machine tool path generation from CSG part representations

    James E. Bobrow

  • Accurate Sliding-Mode Control of Pneumatic Systems Using Low-Cost Solenoid Valves

    T. Nguyen;J. Leavitt;F. Jabbari;J.E. Bobrow

  • Tools for understanding and optimizing robotic gait training.

    David J Reinkensmeyer;Daisuke Aoyagi;Jeremy L Emken;Jose A Galvez

  • A pneumatic robot for re-training arm movement after stroke: rationale and mechanical design

    R.J. Sanchez;E. Wolbrecht;R. Smith;J. Liu

  • On the Optimal Control of Robotic Manipulators with Actuator Constraints

    J. E. Bobrow;S. Dubowsky;J. S. Gibson

  • Adaptive, High Bandwidth Control of a Hydraulic Actuator

    J. E. Bobrow;K. Lum

  • Minimum-Effort Motions for Open-Chain Manipulators with Task-Dependent End-Effector Constraints

    Bryan J. Martin;James E. Bobrow

  • Newton-type algorithms for dynamics-based robot movement optimization

    Sung-Hee Lee;Junggon Kim;F.C. Park;Munsang Kim

  • Robotic movement training as an optimization problem: designing a controller that assists only as needed

    J.L. Emken;J.E. Bobrow;D.J. Reinkensmeyer

  • A Direct Minimization Approach for Obtaining the Distance between Convex Polyhedra

    James E. Bobrow

Frequent Co-Authors

David J. Reinkensmeyer
David J. Reinkensmeyer University of California, Irvine
Faryar Jabbari
Faryar Jabbari University of California, Irvine
Frank C. Park
Frank C. Park Seoul National University
Steven C. Cramer
Steven C. Cramer University of California, Los Angeles
Enrique J. Lavernia
Enrique J. Lavernia Texas A&M University
Derek Dunn-Rankin
Derek Dunn-Rankin University of California, Irvine
Jann N. Yang
Jann N. Yang University of California, Irvine
Roland R. Roy
Roland R. Roy University of California, Los Angeles

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