World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
19348
World Ranking
1725
National Ranking
556

Paolo Bonato 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 Paolo Bonato 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: 326 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Paolo Bonato 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 Paolo Bonato 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: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Paolo Bonato is affiliated with Spaulding Rehabilitation Hospital in the United States and has a research focus primarily in the field of Medicine. Their academic contributions include significant work in subfields such as Biomedical Engineering, Neurology, Physical Therapy, Sports Therapy and Rehabilitation, Rehabilitation, and Cognitive Neuroscience.

Their research addresses a variety of topics with an emphasis on Balance, Gait, and Falls Prevention, Muscle activation and electromyography studies, Stroke Rehabilitation and Recovery, Parkinson's Disease Mechanisms and Treatments, Cerebral Palsy and Movement Disorders, Neurological disorders and treatments, as well as EEG and Brain-Computer Interfaces.

Bonato's publication record includes notable papers such as:

  • Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic, 2020, IEEE Reviews in Biomedical Engineering
  • mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease, 2020, npj Digital Medicine
  • Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery, 2020, npj Digital Medicine
  • Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?, 2020, IEEE Open Journal of Engineering in Medicine and Biology
  • Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning, 2021, Movement Disorders

Bonato frequently publishes in venues such as arXiv (Cornell University), Scientific Reports, bioRxiv (Cold Spring Harbor Laboratory), IEEE Open Journal of Engineering in Medicine and Biology, and the Journal of NeuroEngineering and Rehabilitation.

The scientist often collaborates with other researchers, including:

  • Gloria Vergara-Diaz
  • Eric Fabara
  • Federico Parisi
  • Catherine Adans-Dester
  • Stefano Sapienza

Best Publications

  • A review of wearable sensors and systems with application in rehabilitation.

    Shyamal Patel;Shyamal Patel;Hyung-Kyu Park;Paolo Bonato;Paolo Bonato;Leighton Chan

  • Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

    S. Patel;K. Lorincz;R. Hughes;N. Huggins

  • Technology in Parkinson's disease: Challenges and opportunities.

    Alberto J. Espay;Paolo Bonato;Fatta B. Nahab;Walter Maetzler

  • Muscle synergy patterns as physiological markers of motor cortical damage.

    Vincent Chi-Kwan Cheung;Andrea Turolla;Michela Agostini;Stefano Silvoni

  • Wearable Sensors and Systems

    Paolo Bonato

  • Wearable sensors/systems and their impact on biomedical engineering

    P. Bonato

  • Advances in wearable technology and applications in physical medicine and rehabilitation.

    Paolo Bonato

  • Noise-enhanced Balance Control in Patients With Diabetes and Patients With Stroke

    Attila A. Priplata;Benjamin L. Patritti;James B. Niemi;Richard Hughes

  • A statistical method for the measurement of muscle activation intervals from surface myoelectric signal during gait

    P. Bonato;T. D'Alessio;M. Knaflitz

  • Effects of Training With a Robot-Virtual Reality System Compared With a Robot Alone on the Gait of Individuals After Stroke

    Anat Mirelman;Paolo Bonato;Judith E. Deutsch

  • A clinical comparison of variable-damping and mechanically passive prosthetic knee devices.

    Jennifer L. Johansson;Delsey M. Sherrill;Patrick O. Riley;Paolo Bonato

  • Wearable Medical Systems for p-Health

    Xiao-Fei Teng;Yuan-Ting Zhang;C.C.Y. Poon;P. Bonato

  • Mercury: a wearable sensor network platform for high-fidelity motion analysis

    Konrad Lorincz;Bor-rong Chen;Geoffrey Werner Challen;Atanu Roy Chowdhury

  • Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions

    P. Bonato;S.H. Roy;M. Knaflitz;C.J. de Luca

  • Patient specific ankle-foot orthoses using rapid prototyping

    Constantinos Mavroidis;Richard G Ranky;Mark L Sivak;Benjamin L Patritti

  • An EMG-position controlled system for an active ankle-foot prosthesis: an initial experimental study

    S.K. Au;P. Bonato;H. Herr

  • A roadmap for implementation of patient‐centered digital outcome measures in Parkinson's disease obtained using mobile health technologies

    Alberto J. Espay;Jeffrey M. Hausdorff;Jeffrey M. Hausdorff;Jeffrey M. Hausdorff;Álvaro Sánchez‐Ferro;Jochen Klucken

  • Effects of virtual reality training on gait biomechanics of individuals post-stroke

    Anat Mirelman;Benjamin L. Patritti;Paolo Bonato;Paolo Bonato;Judith E. Deutsch

  • Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic

    Xiaorong Ding;David Clifton;Nan Ji;Nigel H. Lovell

  • In Situ Monitoring of Health in Older Adults: Technologies and Issues

    Hyun Gu Kang;Diane F. Mahoney;Helen Hoenig;Helen Hoenig;Victor A. Hirth;Victor A. Hirth

  • A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

    S. Patel;R. Hughes;T. Hester;J. Stein

Frequent Co-Authors

Constantinos Mavroidis
Constantinos Mavroidis Northeastern University
Filippo Molinari
Filippo Molinari Polytechnic University of Turin
Ross Zafonte
Ross Zafonte Harvard Medical School
Jeffrey M. Hausdorff
Jeffrey M. Hausdorff Rush University Medical Center
Ugo Della Croce
Ugo Della Croce Catholic University of America
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Matt Welsh
Matt Welsh Fixie.ai
Metin Akay
Metin Akay University of Houston
John H. Growdon
John H. Growdon Harvard University
Silvestro Micera
Silvestro Micera Sant'Anna School of Advanced Studies

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Paolo Bonato

Trending Scientists

Recently Published Articles