World's Best Scientists 2026 revealed!
Andrew A. Goldenberg

Andrew A. Goldenberg

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
54
Citations
10246
World Ranking
965
National Ranking
39

Electronics and Electrical Engineering

D-Index
54
Citations
10117
World Ranking
2311
National Ranking
111

Andrew A. Goldenberg 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 Andrew A. Goldenberg 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: 357 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Andrew A. Goldenberg 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 Andrew A. Goldenberg 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: 54 D-Index — 73rd percentile

73% 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

  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - Fellow of the American Society of Mechanical Engineers
  • 1996 - IEEE Fellow For contributions to theory of robot control and development of advanced flexible automation systems for industrial applications.

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanical engineering
  • Artificial intelligence
  • Control theory

Andrew A. Goldenberg mainly investigates Robot, Control engineering, Control theory, Simulation and Control system. His work deals with themes such as Node, Computer hardware, Embedded system and Payload, which intersect with Robot. The Control engineering study combines topics in areas such as Robot end effector, Turret, Torque and Mobile robot.

His Control theory study incorporates themes from Kinematics, Robot control and Motion control. His work in Simulation addresses issues such as Artificial intelligence, which are connected to fields such as Computer vision. His Control system research includes themes of Motion controller, Acoustics, Automatic control, Feed forward and Impedance control.

His most cited work include:

  • Robust control of a general servomechanism problem: The servo compensator (354 citations)
  • Force and position control of manipulators during constrained motion tasks (348 citations)
  • A complete generalized solution to the inverse kinematics of robots (264 citations)

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

The scientist’s investigation covers issues in Control theory, Robot, Control engineering, Artificial intelligence and Control theory. His Control theory research includes elements of Kinematics, Robot control and Motion control. Andrew A. Goldenberg interconnects Mechanism, Simulation and Actuator in the investigation of issues within Robot.

Andrew A. Goldenberg has included themes like Nonlinear system, Robot kinematics, Torque and Robot manipulator in his Control engineering study. His work on Robotics as part of general Artificial intelligence research is frequently linked to Controller, bridging the gap between disciplines. His Robust control research is multidisciplinary, incorporating elements of Sliding mode control, Stability and Robotic arm.

He most often published in these fields:

  • Control theory (47.92%)
  • Robot (36.10%)
  • Control engineering (35.14%)

What were the highlights of his more recent work (between 2006-2020)?

  • Robot (36.10%)
  • Mobile robot (11.50%)
  • Simulation (12.14%)

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

Andrew A. Goldenberg mainly focuses on Robot, Mobile robot, Simulation, Control engineering and Ultrasonic motor. Robot control is the focus of his Robot research. The various areas that Andrew A. Goldenberg examines in his Mobile robot study include Chassis, Mechanism and Stairs.

His biological study spans a wide range of topics, including Control system, Control reconfiguration, Control theory, Robot manipulator and Pipeline. His Control theory study combines topics from a wide range of disciplines, such as Natural frequency and Haptic technology. His work carried out in the field of Ultrasonic motor brings together such families of science as Isocenter, Magnetic resonance imaging, Actuator, Artificial intelligence and Computer vision.

Between 2006 and 2020, his most popular works were:

  • Hybrid mobile robot (81 citations)
  • Development of Inchworm In-Pipe Robot Based on Self-Locking Mechanism (66 citations)
  • Modular mobile robot (65 citations)

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

  • Mechanical engineering
  • Artificial intelligence
  • Control theory

His scientific interests lie mostly in Robot, Mobile robot, Control engineering, Robot control and Simulation. His Robot study integrates concerns from other disciplines, such as Deformation and Biomedical engineering, Needle insertion. His study explores the link between Mobile robot and topics such as Chassis that cross with problems in Electrical engineering, Communications system and Link.

The concepts of his Control engineering study are interwoven with issues in Mechanism and Torque. Torque is the subject of his research, which falls under Control theory. His research in Simulation tackles topics such as Climbing which are related to areas like Stairs, Motion control and Robotic sensing.

Best Publications

  • Force and position control of manipulators during constrained motion tasks

    J. K. Mills;A. A. Goldenberg

  • Robust control of a general servomechanism problem: The servo compensator

    E. J. Davison;A. Goldenberg

  • A complete generalized solution to the inverse kinematics of robots

    A. Goldenberg;B. Benhabib;R. Fenton

  • Design of a new high performance electrohydraulic actuator

    S. Habibi;A. Goldenberg

  • Development of a systematic methodology of fuzzy logic modeling

    M.R. Emami;I.B. Turksen;A.A. Goldenberg

  • Design of a new high-performance electrohydraulic actuator

    S. Habibi;A. Goldenberg

  • Neural-network control of mobile manipulators

    Sheng Lin;A.A. Goldenberg

  • Computer- and robot-assisted resection of thalamic astrocytomas in children.

    James M. Drake;Michael Joy;Andrew Goldenberg;David Kreindler

  • Explosives disposal robot

    Andrew Goldenberg;Nenad Kircanski;Sheldon K. Dickie;Gordon D. Scott

  • MEMS optical switches

    Tze-Wei Yeow;K.L.E. Law;A. Goldenberg

  • An experimental study of nonlinear stiffness, hysteresis, and friction effects in robot joints with harmonic drives and torque sensors

    Nenad M. Kircanski;Andrew A. Goldenberg

  • Soft materials for robotic fingers

    K.B. Shimoga;A.A. Goldenberg

  • Robust hybrid impedance control of robot manipulators

    G.J. Liu;A.A. Goldenberg

  • Soft robotic fingertips. Part I: a comparison of construction materials

    K. B. Shimoga;A. A. Goldenberg

  • Micromachined 2-D scanner for 3-D optical coherence tomography

    J.T.W. Yeow;J.T.W. Yeow;V.X.D. Yang;V.X.D. Yang;A. Chahwan;M.L. Gordon;M.L. Gordon

  • Robust impedance control and force regulation: theory and experiments

    Ziren Lu;Andrew A. Goldenberg

  • Development of Inchworm In-Pipe Robot Based on Self-Locking Mechanism

    Jinwei Qiao;Jianzhong Shang;A. Goldenberg

  • Implementation of force and impedance control in robot manipulators

    A.A. Goldenberg

  • An adaptive approach to motion and force control of multiple coordinated robot arms

    Y.-R. Hu;A.A. Goldenberg

  • Mobile robot hydrid communication link

    Andrew A. Goldenberg;Pawel Kuzan;Lawrence Gryniewski;Gordon D. Scott

  • An Experimental Study of Nonlinear Stiffness, Hysteresis, and Friction Effects in Robot Joints with Harmonic Drives and Torque Sensors

    N. Kircanski;A. A. Goldenberg;S. Jia

Frequent Co-Authors

James K. Mills
James K. Mills University of Toronto
Jean W. Zu
Jean W. Zu Stevens Institute of Technology
James M. Drake
James M. Drake University of Toronto
Beno Benhabib
Beno Benhabib University of Toronto
Saeid Habibi
Saeid Habibi McMaster University
John Trachtenberg
John Trachtenberg University of Toronto
Guangjun Liu
Guangjun Liu Toronto Metropolitan University
Michael Jenkin
Michael Jenkin York University
I.B. Turksen
I.B. Turksen University of Toronto
Andrew Emili
Andrew Emili Boston University

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