World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
9316
World Ranking
5110
National Ranking
1452

Dagmar Sternad publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Dagmar Sternad sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 164 publications — 33rd percentile

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

The last bar groups every scientist with 804 publications or more.

Dagmar Sternad D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Dagmar Sternad sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Dagmar Sternad is associated with Northeastern University in the United States and focuses research efforts predominantly in the fields of Neuroscience and Engineering. Their work spans several subfields including Cognitive Neuroscience, Biomedical Engineering, Social Psychology, Physical Therapy, Sports Therapy and Rehabilitation, as well as Control and Systems Engineering.

The scientist has produced a substantial body of work revolving around key topics such as Motor Control and Adaptation, Muscle activation and electromyography studies, Action Observation and Synchronization, Balance, Gait, and Falls Prevention, Robot Manipulation and Learning, Prosthetics and Rehabilitation Robotics, and Teleoperation and Haptic Systems.

Frequent publication venues for Dagmar Sternad include:

  • Journal of Neurophysiology
  • Scientific Reports
  • iScience
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology

Their recent research output features the following papers:

  • Neural Encoding and Representation of Time for Sensorimotor Control and Learning, 2020, Journal of Neuroscience
  • Preparing to move: Setting initial conditions to simplify interactions with complex objects, 2021, PLoS Computational Biology
  • Motor control beyond reach-how humans hit a target with a whip, 2022, Royal Society Open Science
  • Back to reality: differences in learning strategy in a simplified virtual and a real throwing task, 2020, Journal of Neurophysiology
  • Central nervous system physiology, 2021, Clinical Neurophysiology

Dagmar Sternad has collaborated regularly with several researchers, including:

  • Neville Hogan
  • Marta Russo
  • Salah Bazzi
  • Mohsen Sadeghi
  • Aleksei Krotov

Best Publications

  • Local dynamic stability versus kinematic variability of continuous overground and treadmill walking.

    J. B. Dingwell;J. P. Cusumano;P. R. Cavanagh;D. Sternad

  • Role of Hyperactive Cerebellum and Motor Cortex in Parkinson’s Disease

    Hong Yu;Dagmar Sternad;Daniel M. Corcos;David E. Vaillancourt

  • Sensitivity of Smoothness Measures to Movement Duration, Amplitude and Arrests

    Neville Hogan;Dagmar Sternad

  • Rhythmic arm movement is not discrete.

    Stefan Schaal;Dagmar Sternad;Rieko Osu;Mitsuo Kawato

  • Slower speeds in patients with diabetic neuropathy lead to improved local dynamic stability of continuous overground walking

    Jonathan B Dingwell;Jonathan B Dingwell;J. P. Cusumano;D. Sternad;P. R. Cavanagh

  • Decomposition of Variability in the Execution of Goal-Oriented Tasks: Three Components of Skill Improvement.

    Hermann Müller;Dagmar Sternad

  • On rhythmic and discrete movements: reflections, definitions and implications for motor control.

    Neville Hogan;Dagmar Sternad

  • Origins and violations of the 2/3 power law in rhythmic three-dimensional arm movements.

    Stefan Schaal;Dagmar Sternad

  • Complexity of human postural control in young and older adults during prolonged standing

    Marcos Duarte;Dagmar Sternad

  • Learning and transfer of complex motor skills in virtual reality: a perspective review

    Danielle E. Levac;Meghan E. Huber;Dagmar Sternad

  • Dynamic primitives of motor behavior

    Neville Hogan;Dagmar Sternad

  • One-Handed Juggling: A Dynamical Approach to a Rhythmic Movement Task

    Stefan Schaal;Christopher G. Atkeson;Dagmar Sternad

  • It's Not (Only) the Mean that Matters: Variability, Noise and Exploration in Skill Learning.

    Dagmar Sternad

  • Motor learning: changes in the structure of variability in a redundant task.

    Hermann Müller;Dagmar Sternad

  • Dynamic primitives in the control of locomotion

    Neville Hogan;Dagmar Sternad

  • Average phase difference theory and 1∶1 phase entrainment in interlimb coordination

    Dagmar Sternad;M. T. Turvey;R. C. Schmidt

  • A randomization method for the calculation of covariation in multiple nonlinear relations: illustrated with the example of goal-directed movements.

    Hermann Müller;Dagmar Sternad

  • Segmentation of Endpoint Trajectories Does Not Imply Segmented Control

    Dagmar Sternad;Stefan Schaal

  • Interaction of rhythmic and discrete pattern generators in single-joint movements

    Dagmar Sternad;William J. Dean;Stefan Schaal

  • Bouncing a ball: tuning into dynamic stability.

    Dagmar Sternad;Marcos Duarte;Hiromu Katsumata;Stefan Schaal

  • Dynamics of a bouncing ball in human performance.

    Dagmar Sternad;Marcos Duarte;Hiromu Katsumata;Stefan Schaal

  • Neuromotor noise, error tolerance and velocity-dependent costs in skilled performance.

    Dagmar Sternad;Masaki O. Abe;Xiaogang Hu;Hermann Müller

  • The detuning factor in the dynamics of interlimb rhythmic coordination

    Dagmar Sternad;David Collins;M. T. Turvey

Frequent Co-Authors

Stefan Schaal
Stefan Schaal Google (United States)
Michael T. Turvey
Michael T. Turvey University of Connecticut
Elliot Saltzman
Elliot Saltzman Boston University
Jonathan B. Dingwell
Jonathan B. Dingwell Pennsylvania State University
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Karl M. Newell
Karl M. Newell University of Georgia
Hermann J. Müller
Hermann J. Müller Ludwig-Maximilians-Universität München
Timothy D. Lee
Timothy D. Lee McMaster University
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University

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