World's Best Scientists 2026 revealed!
Angkoon Phinyomark

Angkoon Phinyomark

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
8087
World Ranking
6867
National Ranking
280

Angkoon Phinyomark 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 Angkoon Phinyomark 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: 117 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Angkoon Phinyomark 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 Angkoon Phinyomark 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Angkoon Phinyomark is affiliated with the University of New Brunswick in Canada and has contributed extensively to the fields of engineering and neuroscience, with a focus on biomedical engineering and cognitive neuroscience. Their research spans multiple interconnected domains, including muscle activation and electromyography studies, EEG and brain-computer interfaces, advanced sensor and energy harvesting materials, neuroscience and neural engineering, diabetic foot ulcer assessment and management, advanced chemical sensor technologies, and gait recognition and analysis.

Their recent scholarly publications highlight a diverse research agenda. Notable papers include:

  • Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity (2020), published in Sensors
  • Electromyography-Based Gesture Recognition: Is It Time to Change Focus From the Forearm to the Wrist? (2020), published in IEEE Transactions on Industrial Informatics
  • Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition (2020), published in IEEE Access
  • Fractal Analysis of Human Gait Variability via Stride Interval Time Series (2020), published in Frontiers in Physiology
  • A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition (2021), published in IEEE Transactions on Neural Systems and Rehabilitation Engineering

Phinyomark's collaborations include frequent co-authors such as Erik Scheme, Robyn Larracy, Evan Campbell, Fady S. Botros, and Eve MacDonald, reflecting an active engagement with peers in their research community.

Their publications are predominantly featured in journals and venues including IEEE Access, arXiv (Cornell University), the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), the Journal of Clinical Oncology, and Sensors.

The scope of Phinyomark's work focuses largely on advancing biomedical understanding and applications, particularly in muscle activation through electromyography and exploring brain-computer interfaces. Their involvement in topics such as gait recognition and diabetic foot ulcer assessment illustrates the interdisciplinary nature of their research, bridging engineering principles with clinical and physiological applications.

Best Publications

  • Feature reduction and selection for EMG signal classification

    Angkoon Phinyomark;Pornchai Phukpattaranont;Chusak Limsakul

  • EMG feature evaluation for improving myoelectric pattern recognition robustness

    Angkoon Phinyomark;Franck Quaine;Sylvie Charbonnier;Christine Serviere

  • The Usefulness of Mean and Median Frequencies in Electromyography Analysis

    Angkoon Phinyomark;Sirinee Thongpanja;Huosheng Hu;Pornchai Phukpattaranont

  • Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors.

    Angkoon Phinyomark;Rami N. Khushaba;Erik J. Scheme

  • Application of Wavelet Analysis in EMG Feature Extraction for Pattern Classification

    A. Phinyomark;C. Limsakul;P. Phukpattaranont

  • EMG Pattern Recognition in the Era of Big Data and Deep Learning

    Angkoon Phinyomark;Erik J. Scheme

  • Feature Extraction and Reduction of Wavelet Transform Coefficients for EMG Pattern Classification

    A. Phinyomark;A. Nuidod;P. Phukpattaranont;C. Limsakul

  • Mean and Median Frequency of EMG Signal to Determine Muscle Force based on Time-Dependent Power Spectrum

    S. Thongpanja;A. Phinyomark;P. Phukpattaranont;C. Limsakul

  • Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions

    Angkoon Phinyomark;Angkoon Phinyomark;Giovanni Petri;Esther Ibáñez-Marcelo;Sean T. Osis

  • Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features.

    Ulysse Côté-Allard;Evan Campbell;Angkoon Phinyomark;François Laviolette

  • A Novel Feature Extraction for Robust EMG Pattern Recognition

    Angkoon Phinyomark;Chusak Limsakul;Pornchai Phukpattaranont

  • Evaluation of EMG feature extraction for hand movement recognition based on Euclidean distance and standard deviation

    A. Phinyomark;S. Hirunviriya;C. Limsakul;P. Phukpattaranont

  • Gender differences in gait kinematics for patients with knee osteoarthritis

    Angkoon Phinyomark;Sean T. Osis;Blayne A. Hettinga;Dylan Kobsar

  • Feature extraction of the first difference of EMG time series for EMG pattern recognition

    Angkoon Phinyomark;Franck Quaine;Sylvie Charbonnier;Christine Serviere

  • Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity.

    Evan Campbell;Angkoon Phinyomark;Erik J. Scheme

  • Fractal analysis features for weak and single-channel upper-limb EMG signals

    Angkoon Phinyomark;Pornchai Phukpattaranont;Chusak Limsakul

  • Electromyography-Based Gesture Recognition: Is It Time to Change Focus From the Forearm to the Wrist?

    Fady S. Botros;Angkoon Phinyomark;Erik J. Scheme

  • An optimal wavelet function based on wavelet denoising for multifunction myoelectric control

    A. Phinyomark;C. Limsakul;P. Phukpattaranont

  • Gender and age-related differences in bilateral lower extremity mechanics during treadmill running.

    Angkoon Phinyomark;Blayne A. Hettinga;Sean T. Osis;Reed Ferber

  • Kinematic gait patterns in healthy runners: A hierarchical cluster analysis.

    Angkoon Phinyomark;Sean Osis;Blayne A. Hettinga;Reed Ferber

  • A Review of Control Methods for Electric Power Wheelchairs Based on Electromyography Signals with Special Emphasis on Pattern Recognition

    Angkoon Phinyomark;Pornchai Phukpattaranont;Chusak Limsakul

  • Surface Electromyography (EMG) Signal Processing, Classification, and Practical Considerations

    Angkoon Phinyomark;Evan Campbell;Erik Scheme

  • Gender differences in gait kinematics in runners with iliotibial band syndrome

    A. Phinyomark;S. Osis;B. A. Hettinga;R. Leigh

  • A Comparative Study of Wavelet Denoising for Multifunction Myoelectric Control

    Angkoon Phinyomark;Chusak Limsakul;Pornchai Phukpattaranont

  • Probability Density Functions of Stationary Surface EMG Signals in Noisy Environments

    Sirinee Thongpanja;Angkoon Phinyomark;Franck Quaine;Yann Laurillau

Frequent Co-Authors

Erik Scheme
Erik Scheme University of New Brunswick
François Laviolette
François Laviolette Université Laval
Huosheng Hu
Huosheng Hu University of Essex

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