World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6092
World Ranking
7362
National Ranking
2012

James M. Kates 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 James M. Kates 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

James M. Kates 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 James M. Kates 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: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

James M. Kates is affiliated with the University of Colorado Boulder in the United States. Their research spans fields primarily in Neuroscience and Computer Science, with a focus on subfields such as Cognitive Neuroscience, Signal Processing, Speech and Hearing, Biomedical Engineering, and Experimental and Cognitive Psychology.

Their research work addresses a range of topics including Hearing Loss and Rehabilitation, Speech and Audio Processing, Noise Effects and Management, Acoustic Wave Phenomena Research, Multisensory Perception and Integration, and Ultrasonics and Acoustic Wave Propagation.

Recent papers by James M. Kates include the following:

  • The Hearing-Aid Speech Perception Index (HASPI) Version 2, 2020, Speech Communication
  • An overview of the HASPI and HASQI metrics for predicting speech intelligibility and speech quality for normal hearing, hearing loss, and hearing aids, 2022, Hearing Research
  • Adding air absorption to simulated room acoustic models, 2020, The Journal of the Acoustical Society of America
  • A comparison of speech intelligibility and subjective quality with hearing-aid processing in older adults with hearing loss, 2021, International Journal of Audiology
  • Extending the Hearing-Aid Speech Perception Index (HASPI): Keywords, sentences, and context, 2023, The Journal of the Acoustical Society of America

Frequent coauthors who have collaborated with James M. Kates include:

  • Kathryn H. Arehart
  • Emily Lundberg
  • Ramesh Kumar Muralimanohar
  • Varsha H. Rallapalli
  • Pamela E. Souza

Publications by James M. Kates appear in several venues, with notable frequency in:

  • The Journal of the Acoustical Society of America
  • Speech Communication
  • Hearing Research
  • International Journal of Audiology
  • Journal of Speech Language and Hearing Research

Best Publications

  • Coherence and the speech intelligibility index

    James M. Kates;Kathryn H. Arehart

  • Feedback cancellation improvements

    James Mitchell Kates;John Laurence Melanson

  • Digital wireless loudspeaker system

    Eric Lindemann;John Laurence Melanson;Jason Lee Carlson;James Mitchell Kates

  • Apparatus and methods for combining audio compression and feedback cancellation in a hearing aid

    James Mitchell Kates;John Laurence Melanson

  • Feedback cancellation apparatus and methods

    James Mitchell Kates

  • Speech intelligibility enhancement

    James M. Kates

  • The Hearing-Aid Speech Perception Index (HASPI)

    James M. Kates;Kathryn Hoberg Arehart

  • Working memory, age, and hearing loss: susceptibility to hearing aid distortion.

    Kathryn H. Arehart;Pamela Souza;Rosalinda Baca;James M. Kates

  • Feedback cancellation in hearing aids: results from a computer simulation

    J.M. Kates

  • Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices: Advantages and limitations of existing tools

    Tiago H. Falk;Vijay Parsa;Joao F Santos;Kathryn Arehart

  • Feedback cancellation apparatus and methods utilizing adaptive reference filter mechanisms

    James Mitchell Kates;John Laurence Melanson

  • Principles of digital dynamic-range compression.

    James M. Kates

  • The Hearing-Aid Speech Quality Index (HASQI)

    James M. Kates;Kathryn H. Arehart

  • A time-domain digital cochlear model

    J.M. Kates

  • Apparatus and methods for hearing aid performance measurement, fitting, and initialization

    James Mitchell Kates

  • A comparison of hearing-aid array processing techniques.

    James M. Kates;Mark R. Weiss

  • Hearing aid signal-processing system

    James M. Kates

  • Constrained adaptation for feedback cancellation in hearing aids.

    James M. Kates

  • The Hearing-Aid Speech Quality Index (HASQI) Version 2

    James M. Kates;Kathryn H. Arehart

  • Superdirective arrays for hearing aids

    J.M. Kates

  • Feedback cancellation in a hearing aid with reduced sensitivity to low-frequency tonal inputs

    James M. Kates

  • Classification of background noises for hearing‐aid applications

    James M. Kates

  • On using coherence to measure distortion in hearing aids.

    James M. Kates

Frequent Co-Authors

John L. Melanson
John L. Melanson Cirrus Logic (United States)
Bhaskar D. Rao
Bhaskar D. Rao University of California, San Diego
Tiago H. Falk
Tiago H. Falk Institut National de la Recherche Scientifique
Tom Heskes
Tom Heskes Radboud University

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