World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4122
World Ranking
9441
National Ranking
597

Michael A. Stone 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 Michael A. Stone 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: 85 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Michael A. Stone 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 Michael A. Stone 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

Michael A. Stone is affiliated with the University of Manchester in the United Kingdom. Their research spans several fields, predominantly focusing on neuroscience and its intersections with hearing and signal processing technologies.

The scientist has contributed extensively to the study and understanding of hearing loss and rehabilitation, speech and audio processing, and noise effects and management. Their work also encompasses topics related to hearing mechanisms such as cochlea function, tinnitus, and genetics. Additional areas of involvement include indoor and outdoor localization technologies, EEG and brain-computer interfaces, and blind source separation techniques.

Key subfields of their research include cognitive neuroscience, signal processing, speech and hearing, sensory systems, and electrical and electronic engineering. These areas reflect a multidisciplinary approach, integrating experimental and applied aspects of auditory science and engineering.

Michael A. Stone has published frequently in notable venues, with a strong presence in:

  • The Journal of the Acoustical Society of America
  • Journal of Vascular Surgery
  • Zenodo (CERN European Organization for Nuclear Research)
  • Ear and Hearing
  • Trends in Hearing

Their recent publications include:

  • "Aided Cortical Auditory Evoked Potentials in Infants With Frequency-Specific Synthetic Speech Stimuli: Sensitivity, Repeatability, and Feasibility" (2023, Ear and Hearing)
  • "Effect of the number of amplitude-compression channels and compression speed on speech recognition by listeners with mild to moderate sensorineural hearing loss" (2020, The Journal of the Acoustical Society of America)
  • "Improving hearing-aid gains based on automatic speech recognition" (2020, The Journal of the Acoustical Society of America)
  • "Improving the measurement and acoustic performance of transparent face masks and shields" (2022, The Journal of the Acoustical Society of America)
  • "Threshold Equalizing Noise Test Reveals Suprathreshold Loss of Hearing Function, Even in the "Normal" Audiogram Range" (2022, Ear and Hearing)

The scientist collaborates frequently with a group of co-authors, including:

  • Melanie Lough
  • Harvey Dillon
  • Helen Whiston
  • Kevin J. Munro
  • Emanuele Perugia

Their publications demonstrate an emphasis on auditory system evaluation, hearing aid technology, and the acoustic factors affecting communication. This body of work aligns with their broader focus on auditory neuroscience and applied audio processing techniques.

Best Publications

  • Effects of moderate cochlear hearing loss on the ability to benefit from temporal fine structure information in speech

    Kathryn Hopkins;Brian C. J. Moore;Michael A. Stone

  • New version of the TEN test with calibrations in dB HL.

    Brian C J Moore;Brian R Glasberg;Michael A Stone

  • Tolerable hearing aid delays. I. Estimation of limits imposed by the auditory path alone using simulated hearing losses.

    Michael A. Stone;Brian C. J. Moore

  • Notionally steady background noise acts primarily as a modulation masker of speech

    Michael A. Stone;Christian Füllgrabe;Brian C. J. Moore

  • Benefits of linear amplification and multichannel compression for speech comprehension in backgrounds with spectral and temporal dips.

    Brian C. J. Moore;Robert W. Peters;Michael A. Stone

  • Syllabic compression: effective compression ratios for signals modulated at different rates.

    Michael A. Stone;Brian C. J. Moore

  • Development of a new method for deriving initial fittings for hearing aids with multi-channel compression: CAMEQ2-HF

    Brian C.J. Moore;Brian R. Glasberg;Michael A. Stone

  • Spectro-Temporal Characteristics of Speech at High Frequencies, and the Potential for Restoration of Audibility to People with Mild-to-Moderate Hearing Loss

    Brian C. J. Moore;Michael A. Stone;Christian Füllgrabe;Brian R. Glasberg

  • Tolerable hearing aid delays. III. Effects on speech production and perception of across-frequency variation in delay.

    Michael A. Stone;Brian C. J. Moore

  • The importance for speech intelligibility of random fluctuations in "steady" background noise.

    Michael A. Stone;Christian Füllgrabe;Robert C. Mackinnon;Brian C. J. Moore

  • Tolerable hearing aid delays. II. Estimation of limits imposed during speech production.

    Michael A. Stone;Brian C. J. Moore

  • Side effects of fast-acting dynamic range compression that affect intelligibility in a competing speech task

    Michael A. Stone;Brian C. J. Moore

  • Quantifying the effects of fast-acting compression on the envelope of speech

    Michael A. Stone;Brian C. J. Moore

  • Comparison of different forms of compression using wearable digital hearing aids.

    Michael A. Stone;Brian C. J. Moore;José I. Alcántara;Brian R. Glasberg

  • Effect of spatial separation, extended bandwidth, and compression speed on intelligibility in a competing-speech task

    Brian C. J. Moore;Christian Füllgrabe;Michael A. Stone

  • Effects of spectro-temporal modulation changes produced by multi-channel compression on intelligibility in a competing-speech task.

    Michael A. Stone;Brian C. J. Moore

  • Use of a loudness model for hearing aid fitting: III. A general method for deriving initial fittings for hearing aids with multi-channel compression

    B. C. J. Moore;B. R. Glasberg;M. A. Stone

  • Benefit of high-rate envelope cues in vocoder processing: effect of number of channels and spectral region.

    Michael A. Stone;Christian Füllgrabe;Brian C. J. Moore

  • Effect of the speed of a single-channel dynamic range compressor on intelligibility in a competing speech task

    Michael A. Stone;Brian C. J. Moore

  • Optimization of a slow-acting automatic gain control system for use in hearing aids.

    Brian C. J. Moore;Brian R. Glasberg;Michael A. Stone

Frequent Co-Authors

Brian C. J. Moore
Brian C. J. Moore University of Cambridge
Brian R. Glasberg
Brian R. Glasberg University of Cambridge
David R. Moore
David R. Moore Cincinnati Children's Hospital Medical Center
Usha Goswami
Usha Goswami University of Cambridge
Richard E. Turner
Richard E. Turner University of Cambridge
Sunil Puria
Sunil Puria Massachusetts Eye and Ear Infirmary
J S Reeve
J S Reeve University of Oxford
Alan J. McKane
Alan J. McKane University of Manchester

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