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Engineering and Technology
UK
2026

D-Index & Metrics

Engineering and Technology

D-Index
109
Citations
41932
World Ranking
88
National Ranking
5

Brian C. J. Moore 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 Brian C. J. Moore 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: 650 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Brian C. J. Moore 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 Brian C. J. Moore 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: 109 D-Index — 99th percentile

99% 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 United Kingdom Leader Award
  • 2025 - Research.com Engineering and Technology in United Kingdom Leader Award
  • 2022 - Research.com Engineering and Technology in United Kingdom Leader Award
  • 2014 - ASA Gold Medal, Acoustical Society of America For leadership in research on human hearing and its clinical applications
  • 2002 - Fellow of the Royal Society, United Kingdom

Overview

Brian C. J. Moore is affiliated with the University of Cambridge in the United Kingdom. Their research primarily focuses on the fields of neuroscience and health professions, with subfields including cognitive neuroscience, speech and hearing, sensory systems, experimental and cognitive psychology, and automotive engineering.

The main topics covered in their work include hearing loss and rehabilitation, noise effects and management, hearing, cochlea, tinnitus, and genetics, tactile and sensory interactions, multisensory perception and integration, vehicle noise and vibration control, and acoustic wave phenomena research.

Brian C. J. Moore has published several recent papers, including:

  • Effects of hearing loss and age on the binaural processing of temporal envelope and temporal fine structure information, 2020, Hearing Research
  • Assessing mechanisms of frequency discrimination by comparison of different measures over a wide frequency range, 2023, Scientific Reports

The frequent coauthors collaborating with Brian C. J. Moore are:

  • Andrew J. Kolarik
  • Vijaya Kumar Narne
  • Saransh Jain
  • Hashir Aazh
  • Chloe Hayes

The scientist has published regularly in venues such as Hearing Research, arXiv (Cornell University), Journal of the American Academy of Audiology, Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi, and Experimental Brain Research.

Brian C. J. Moore has received notable recognition including the ASA Gold Medal from the Acoustical Society of America in 2014 for leadership in research on human hearing and its clinical applications. Additionally, they have been named a Fellow of the Royal Society in the United Kingdom since 2002.

Best Publications

  • Derivation of auditory filter shapes from notched-noise data

    Brian R Glasberg;Brian C.J Moore

  • Suggested formulae for calculating auditory‐filter bandwidths and excitation patterns

    Brian C. J. Moore;Brian R. Glasberg

  • A model for the prediction of thresholds, loudness, and partial loudness

    Brian C. J. Moore;Brian R. Glasberg;Thomas Baer

  • Cochlear hearing loss : physiological, psychological and technical issues

    Brian C.J. Moore

  • Speech perception problems of the hearing impaired reflect inability to use temporal fine structure.

    Christian Lorenzi;Gaëtan Gilbert;Héloïse Carn;Stéphane Garnier

  • A Model of Loudness Applicable to Time-Varying Sounds

    Brian R. Glasberg;Brian C. J. Moore

  • A test for the diagnosis of dead regions in the cochlea

    B.C.J. Moore;M. Huss;D. A. Vickers;B. R. Glasberg

  • Auditory filter shapes in subjects with unilateral and bilateral cochlear impairments.

    Brian R. Glasberg;Brian C. J. Moore

  • Frequency difference limens for short‐duration tones

    B. C. J. Moore

  • A revision of Zwicker's loudness model

    B.C.J. Moore;B.R. Glasberg

  • Activation of coal tar pitch carbon fibres: Physical activation vs. chemical activation

    J.A. Maciá-Agulló;B.C. Moore;D. Cazorla-Amorós;A. Linares-Solano

  • Speech reception thresholds in noise with and without spectral and temporal dips for hearing‐impaired and normally hearing people

    Robert W. Peters;Brian C. J. Moore;Thomas Baer

  • Formulae describing frequency selectivity as a function of frequency and level, and their use in calculating excitation patterns.

    Brian C.J. Moore;Brian R. Glasberg

  • Perceptual Consequences of Cochlear Hearing Loss and their Implications for the Design of Hearing Aids

    Brian C. J. Moore

  • Frequency discrimination as a function of frequency, measured in several ways

    Aleksander Sek;Brian C. J. Moore

  • Thresholds for hearing mistuned partials as separate tones in harmonic complexes

    Brian C. J. Moore;Brian R. Glasberg;Robert W. Peters

  • A revised model of loudness perception applied to cochlear hearing loss.

    Brian C.J. Moore;Brian R. Glasberg

  • Auditory distance perception in humans: a review of cues, development, neuronal bases, and effects of sensory loss

    Andrew J Kolarik;Brian Cecil Moore;Pavel Zahorik;Silvia Cirstea

  • The shape of the ear's temporal window

    Brian C. J. Moore;Brian R. Glasberg;C. J. Plack;A. K. Biswas

  • Effects of low pass filtering on the intelligibility of speech in noise for people with and without dead regions at high frequencies

    Thomas Baer;Brian C. J. Moore;Karolina Kluk

  • The effects of age and cochlear hearing loss on temporal fine structure sensitivity, frequency selectivity, and speech reception in noise.

    Kathryn Hopkins;Brian C J Moore

  • Psychophysical tuning curves measured in simultaneous and forward masking

    Brian C. J. Moore

  • Auditory frequency selectivity

    Roy D. Patterson;Brian C. J. Moore

Frequent Co-Authors

Brian R. Glasberg
Brian R. Glasberg University of Cambridge
Michael A. Stone
Michael A. Stone University of Manchester
Robert P. Carlyon
Robert P. Carlyon University of Cambridge
Andrew J. Oxenham
Andrew J. Oxenham University of Minnesota
Christopher J. Plack
Christopher J. Plack Lancaster University
Roy D. Patterson
Roy D. Patterson University of Cambridge
Richard E. Turner
Richard E. Turner University of Cambridge
William D. Marslen-Wilson
William D. Marslen-Wilson University of Cambridge
Richard Hoogenboom
Richard Hoogenboom Ghent University
Ulrich S. Schubert
Ulrich S. Schubert Friedrich Schiller University Jena

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