World's Best Scientists 2026 revealed!
Richard W. Longman

Richard W. Longman

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
40
Citations
7434
World Ranking
2002
National Ranking
745

Richard W. Longman 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 Richard W. Longman 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: 294 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Richard W. Longman 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 Richard W. Longman 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: 40 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Richard W. Longman is affiliated with Columbia University in the United States. Their research primarily focuses on the field of Engineering, with significant contributions to Control and Systems Engineering, Mechanical Engineering, and Computational Mechanics.

Longman's work covers multiple main topics, including:

  • Iterative Learning Control Systems
  • Piezoelectric Actuators and Control
  • Control Systems in Engineering
  • Advanced Measurement and Metrology Techniques
  • Advanced Machining Processes and Optimization
  • Dynamics and Control of Mechanical Systems
  • Hydraulic and Pneumatic Systems

Frequent publication venues for their research include:

  • The Journal of the Astronautical Sciences
  • arXiv (Cornell University)
  • International Journal of Robust and Nonlinear Control
  • IEEE Transactions on Neural Networks and Learning Systems
  • Systems & Control Letters

Among Longman's recent papers are:

  • "Stability of Sliding Mode ILC Design for a Class of Nonlinear Systems With Unknown Control Input Delay," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "An adaptive smooth second-order sliding mode repetitive control method with application to a fast periodic stamping system," 2021, Systems & Control Letters
  • "Iterative Learning Control Inverse Problem Using Harmonic Frequency Filters," 2021, The Journal of the Astronautical Sciences
  • "Low-order sliding mode repetitive control for discrete-time systems under complex disturbance environment," 2021, International Journal of Robust and Nonlinear Control
  • "Identification of the Dynamics in the Singular Vectors of the System Toeplitz Matrix of Markov Parameters," 2022, The Journal of the Astronautical Sciences

Frequent co-authors collaborating with Longman include:

  • Chao Jia
  • Jer-Nan Juang
  • Enzeng Dong
  • Benjamas Panomruttanarug
  • Xiaoyu Zhang

Best Publications

  • Iterative learning control and repetitive control for engineering practice

    Richard W. Longman

  • Identification of observer/Kalman filter Markov parameters - Theory and experiments

    Jer-Nan Juang;Minh Phan;Lucas G. Horta;Richard W. Longman

  • Satellite-mounted robot manipulators- new kinematics and reaction moment compensation

    R. W. Longman;R. E. Lindberg;M. F. Zedd

  • Identification of linear structural systems using earthquake‐induced vibration data

    H. Luş;R. Betti;R. W. Longman

  • On-line identification of non-linear hysteretic structural systems using a variable trace approach

    Jeng-Wen Lin;Raimondo Betti;Andrew W. Smyth;Richard W. Longman

  • Active Control Technology for Large Space Structures

    D. C. Hyland;J. L. Junkins;R. W. Longman

  • Simple learning control made practical by zero-phase filtering: applications to robotics

    H. Elci;R.W. Longman;M.Q. Phan;Jer-Nan Juang

  • A mathematical theory of learning control for linear discrete multivariable systems

    Minh Phan;Richard W. Longman

  • A method for improving the dynamic accuracy of a robot performing a repetitive task

    Richard H. Middleton;Graham C. Goodwin;Richard W. Longman

  • Linear system identification via an asymptotically stable observer

    M. Phan;L. G. Horta;J. N. Juang;R. W. Longman

  • On the Theory and Design of Linear Repetitive Control Systemsg

    Richard W. Longman

  • Discrete frequency based learning control for precision motion control

    H. Elci;R.W. Longman;Minh Phan;Jer-Nan Juang

  • Extracting Physical Parameters of Mechanical Models From Identified State-Space Representations

    M. De Angelis;H. Luş;R. Betti;R. W. Longman

  • On the Number and Placement of Actuators for Independent Modal Space Control

    R. E. Lindberg;R. W. Longman

  • Constructing Second-Order Models of Mechanical Systems from Identified State Space Realizations. Part I: Theoretical Discussions

    Hilmi Luş;Maurizio De Angelis;Raimondo Betti;Richard W. Longman

  • Comparison Of Several System Identification Methods For Flexible Structures

    J.-S. Lew;Jer-Nan Juang;Richard W. Longman

  • A degree of controllability definition - Fundamental concepts and application to modal systems

    C. N. Viswanathan;R. W. Longman;P. W. Likins

  • Identification of observer/Kalman filter Markov parameters: Theory and experiments

    Jer-Nan Juang;Minh Phan;Lucas G. Horta;Richard W. Longman

  • Improvement of Observer/Kalman Filter Identification (OKID) by Residual Whitening

    Minh Phan;Lucas G. Horta;Jer-Nan Juang;Richard W. Longman

  • Assessment of human locomotion by using an insole measurement system and artificial neural networks

    Kuan Zhang;Kuan Zhang;Ming Sun;D. Kevin Lester;F. Xavier Pi-Sunyer;F. Xavier Pi-Sunyer

Frequent Co-Authors

Jer-Nan Juang
Jer-Nan Juang National Cheng Kung University
Raimondo Betti
Raimondo Betti Columbia University
Hans Bock
Hans Bock Goethe University Frankfurt
Gangbing Song
Gangbing Song University of Houston
Nejat Olgac
Nejat Olgac University of Connecticut
Ferdinand Freudenstein
Ferdinand Freudenstein Columbia University
Konstantin Avrachenkov
Konstantin Avrachenkov French Institute for Research in Computer Science and Automation - INRIA
F. Xavier Pi-Sunyer
F. Xavier Pi-Sunyer Columbia University
Ranjan Mukherjee
Ranjan Mukherjee Michigan State University
Kuan Zhang
Kuan Zhang University of Nebraska–Lincoln

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