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Engineering and Technology
New Zealand
2026

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
14764
World Ranking
3129
National Ranking
8

Thor F. Besier 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 Thor F. Besier 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: 217 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Thor F. Besier 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 Thor F. Besier 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.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in New Zealand Leader Award
  • 2025 - Research.com Engineering and Technology in New Zealand Leader Award

Overview

Thor F. Besier is affiliated with the University of Auckland in New Zealand. Their research spans the intersection of medicine and engineering, with a specific focus on surgery, biomedical engineering, orthopedics and sports medicine, cognitive neuroscience, and epidemiology.

The scientist's work frequently explores topics such as muscle activation and electromyography studies, hip disorders and treatments, lower extremity biomechanics and pathologies, total knee arthroplasty outcomes, sports injuries and prevention, motor control and adaptation, and bone fractures and treatments.

Selected recent publications by Thor F. Besier include:

  • Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix, 2020, Journal of Electromyography and Kinesiology
  • Machine learning methods to support personalized neuromusculoskeletal modelling, 2020, Biomechanics and Modeling in Mechanobiology
  • Consensus for experimental design in electromyography (CEDE) project: High-density surface electromyography matrix, 2022, Journal of Electromyography and Kinesiology
  • Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty, 2021, Sensors
  • Consensus for experimental design in electromyography (CEDE) project: Terminology matrix, 2021, Journal of Electromyography and Kinesiology

Thor F. Besier has collaborated extensively with several coauthors, among whom the most frequent are Julie Choisne, Ted Yeung, Laura Carman, Angus J. C. McMorland, and Justin Fernandez.

Their research contributions have been published predominantly in venues such as:

  • Journal of Biomechanics
  • Journal of Electromyography and Kinesiology
  • Scientific Reports
  • Medicine & Science in Sports & Exercise
  • SSRN Electronic Journal

Best Publications

  • An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo.

    David G Lloyd;Thor F Besier

  • Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements From Measurements of Neural Command

    Thomas S. Buchanan;David G. Lloyd;Kurt Manal;Thor F. Besier

  • Grand Challenge Competition to Predict In Vivo Knee Loads

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

  • External loading of the knee joint during running and cutting maneuvers.

    Thor F. Besier;David G. Lloyd;Jodie L. Cochrane;Timothy R. Ackland

  • Anticipatory effects on knee joint loading during running and cutting maneuvers.

    Thor F. Besier;David G. Lloyd;Timothy R. Ackland;Jodie L. Cochrane

  • Repeatability of gait data using a functional hip joint centre and a mean helical knee axis.

    Thor F. Besier;Daina L. Sturnieks;Jacque A. Alderson;David G. Lloyd

  • Muscle activation strategies at the knee during running and cutting maneuvers

    Thor F Besier;David G Lloyd;Timothy R Ackland

  • Muscle and external load contribution to knee joint contact loads during normal gait.

    C.R. Winby;David Gavin Lloyd;T.F. Besier;T.B. Kirk

  • 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

  • Knee Muscle Forces during Walking and Running in Patellofemoral Pain Patients and Pain-Free Controls

    Thor F. Besier;Michael Fredericson;Garry E. Gold;Gary S. Beaupré

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

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

  • Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix.

    Manuela Besomi;Paul W. Hodges;Edward A. Clancy;Jaap Van Dieën

  • Toe-in gait reduces the first peak knee adduction moment in patients with medial compartment knee osteoarthritis

    Pete B. Shull;Rebecca Shultz;Amy Silder;Jason L. Dragoo

  • Estimation of muscle forces and joint moments using a forward-inverse dynamics model.

    Thomas S. Buchanan;David Gavin Lloyd;Kurt Manal;Thor F. Besier

  • A modeling framework to estimate patellofemoral joint cartilage stress in vivo.

    Thor F Besier;Garry E Gold;Gary S Beaupré;Scott L Delp

  • Using Real-Time MRI to Quantify Altered Joint Kinematics in Subjects with Patellofemoral Pain and to Evaluate the Effects of a Patellar Brace or Sleeve on Joint Motion

    Christine E. Draper;Thor F. Besier;Juan M. Santos;Fabio Jennings

  • Neuromuscular biomechanical modeling to understand knee ligament loading.

    David Gavin Lloyd;Thomas S. Buchanan;Thor F. Besier

  • Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback ☆

    Pete B. Shull;Kristen L. Lurie;Mark R. Cutkosky;Thor F. Besier

  • Training Affects Knee Kinematics and Kinetics in Cutting Maneuvers in Sport

    Jodie L. Cochrane;David Gavin Lloyd;Thor F. Besier;Thor F. Besier;Bruce C. Elliott

  • Men and women adopt similar walking mechanics and muscle activation patterns during load carriage.

    Amy Silder;Scott L. Delp;Thor Besier

Frequent Co-Authors

Scott L. Delp
Scott L. Delp Stanford University
Garry E. Gold
Garry E. Gold Stanford University
Benjamin J. Fregly
Benjamin J. Fregly Rice University
Darryl D. D'Lima
Darryl D. D'Lima Scripps Health
Joseph J. Crisco
Joseph J. Crisco Brown University
Scott A. Banks
Scott A. Banks University of Florida
Peter Hunter
Peter Hunter University of Auckland
Mark Taylor
Mark Taylor Flinders University
Rod Barrett
Rod Barrett Griffith University
Bruce Elliott
Bruce Elliott University of Western Australia

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