World's Best Scientists 2026 revealed!
Benjamin J. Fregly

Benjamin J. Fregly

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
12446
World Ranking
3148
National Ranking
935

Benjamin J. Fregly 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 Benjamin J. Fregly 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: 200 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Benjamin J. Fregly 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 Benjamin J. Fregly 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: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Benjamin J. Fregly is affiliated with Rice University in the United States, focusing academically on the fields of Medicine and Engineering. Their work extensively covers subfields such as Biomedical Engineering, Surgery, Cognitive Neuroscience, Rehabilitation, and Physical Therapy, Sports Therapy, and Rehabilitation.

The main topics of research conducted by Benjamin J. Fregly include:

  • Muscle activation and electromyography studies
  • Prosthetics and Rehabilitation Robotics
  • Motor Control and Adaptation
  • Orthopaedic implants and arthroplasty
  • Stroke Rehabilitation and Recovery
  • Balance, Gait, and Falls Prevention
  • Cerebral Palsy and Movement Disorders

Among recent papers authored or co-authored by Benjamin J. Fregly are:

  • A Conceptual Blueprint for Making Neuromusculoskeletal Models Clinically Useful, 2021, Applied Sciences
  • How Well Do Commonly Used Co-contraction Indices Approximate Lower Limb Joint Stiffness Trends During Gait for Individuals Post-stroke?, 2021, Frontiers in Bioengineering and Biotechnology
  • Are muscle synergies useful for stroke rehabilitation?, 2021, Current Opinion in Biomedical Engineering
  • Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies, 2020, Frontiers in Computational Neuroscience
  • EMG-driven musculoskeletal model calibration with estimation of unmeasured muscle excitations via synergy extrapolation, 2022, Frontiers in Bioengineering and Biotechnology

Frequent co-authors who have collaborated with Benjamin J. Fregly include:

  • Mohammad S. Shourijeh
  • Carolynn Patten
  • Di Ao
  • Ata Babazadeh-Naseri
  • Valerae O. Lewis

Their work has often been published in venues such as:

  • Frontiers in Bioengineering and Biotechnology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Medical Engineering & Physics
  • Applied Sciences
  • Current Opinion in Biomedical Engineering

Best Publications

  • Grand Challenge Competition to Predict In Vivo Knee Loads

    Benjamin J. Fregly;Thor F. Besier;David Gavin Lloyd;Scott L. Delp

  • Parallel global optimization with the particle swarm algorithm

    J. F. Schutte;Jeffrey A. Reinbolt;B. J. Fregly;R. T. Haftka

  • Decreased knee adduction moment does not guarantee decreased medial contact force during gait.

    Jonathan P. Walter;Darryl D. D'Lima;Clifford W. Colwell;Benjamin J. Fregly

  • Prosthetic device and system and method for implanting prosthetic device

    Binyamin Hajaj;Jason K. Otto;Rony Abovitz;Steven B. Brown

  • CEINMS: A toolbox to investigate the influence of different neural control solutions on the prediction of muscle excitation and joint moments during dynamic motor tasks.

    Claudio Pizzolato;David G. Lloyd;Massimo Sartori;Elena Ceseracciu

  • Design of patient-specific gait modifications for knee osteoarthritis rehabilitation

    B.J. Fregly;J.A. Reinbolt;K.L. Rooney;K.H. Mitchell

  • Evaluation of Direct Collocation Optimal Control Problem Formulations for Solving the Muscle Redundancy Problem

    Friedl De Groote;Allison L. Kinney;Anil V. Rao;Benjamin J. Fregly

  • Multibody dynamic simulation of knee contact mechanics.

    Yanhong Bei;Benjamin J. Fregly

  • A SOLIDIFICATION PROCEDURE TO FACILITATE KINEMATIC ANALYSES BASED ON VIDEO SYSTEM DATA

    L. Chèze;B.J. Fregly;J. Dimnet

  • Subject-specific knee joint geometry improves predictions of medial tibiofemoral contact forces

    Pauline Gerus;Massimo Sartori;Thor F. Besier;Benjamin J. Fregly

  • Determination of patient-specific multi-joint kinematic models through two-level optimization.

    Jeffrey A. Reinbolt;Jaco F. Schutte;Benjamin J. Fregly;Byung Il Koh

  • Parallel asynchronous particle swarm optimization.

    Byung-Il Koh;Alan D. George;Raphael T. Haftka;Benjamin J. Fregly

  • In vivo medial and lateral tibial loads during dynamic and high flexion activities.

    Dong Zhao;Scott A. Banks;Darryl D. D'Lima;Clifford W. Colwell

  • Knee joint forces: prediction, measurement, and significance.

    Darryl D D'Lima;Benjamin J Fregly;Shantanu Patil;Nikolai Steklov

  • The pathophysiology of osteoarthritis: a mechanical perspective on the knee joint

    Kevin R. Vincent;Bryan P. Conrad;Benjamin J. Fregly;Heather K. Vincent

  • Computational wear prediction of a total knee replacement from in vivo kinematics

    Benjamin J. Fregly;W.Gregory Sawyer;Melinda K. Harman;Scott A. Banks

  • Recent trends in assistive technology for mobility.

    Rachel E Cowan;Benjamin J Fregly;Michael L Boninger;Leighton Chan

  • A state-space analysis of mechanical energy generation, absorption, and transfer during pedaling

    Benjamin J. Fregly;Felix E. Zajac

  • Evaluation of predicted knee-joint muscle forces during gait using an instrumented knee implant

    Hyung J. Kim;Justin W. Fernandez;Massoud Akbarshahi;Jonathan P. Walter

  • Dynamic activity dependence of in vivo normal knee kinematics

    Taka Aki Moro-Oka;Satoshi Hamai;Hiromasa Miura;Takeshi Shimoto

  • Parallel Global Optimization with the Particle Swarm Algorithm (Preprint)

    J F Schutte;J A Reinbolt;B J Fregly;R T Haftka

Frequent Co-Authors

Scott A. Banks
Scott A. Banks University of Florida
Darryl D. D'Lima
Darryl D. D'Lima Scripps Health
Raphael T. Haftka
Raphael T. Haftka University of Florida
Clifford W. Colwell
Clifford W. Colwell Scripps Health
Thor F. Besier
Thor F. Besier University of Auckland
Marcus G. Pandy
Marcus G. Pandy University of Melbourne
W. Gregory Sawyer
W. Gregory Sawyer Moffitt Cancer Center
Felix E. Zajac
Felix E. Zajac Stanford University
Scott L. Delp
Scott L. Delp Stanford University
Anil V. Rao
Anil V. Rao University of Florida

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