World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
10044
World Ranking
5377
National Ranking
64

Torsten Dau 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 Torsten Dau 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: 382 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Torsten Dau 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 Torsten Dau 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Torsten Dau is affiliated with the Technical University of Denmark in Denmark. Their research primarily spans the fields of Neuroscience and Health Professions, with significant contributions to Cognitive Neuroscience and Speech and Hearing as subfields. Additional areas of study include Sensory Systems, Signal Processing, and Experimental and Cognitive Psychology.

The main topics addressed in their body of work include Hearing Loss and Rehabilitation, Noise Effects and Management, Hearing, Cochlea, Tinnitus, Genetics, Speech and Audio Processing, Multisensory Perception and Integration, Neuroscience and Music Perception, and Neural Dynamics and Brain Function.

Torsten Dau has published extensively in scientific venues, with frequent contributions to The Journal of the Acoustical Society of America, bioRxiv (Cold Spring Harbor Laboratory), Trends in Hearing, Hearing Research, and Zenodo (CERN European Organization for Nuclear Research).

Among their recent papers are the following:

  • "Effects of Sensorineural Hearing Loss on Cortical Synchronization to Competing Speech during Selective Attention" (2020) published in the Journal of Neuroscience
  • "A comparative study of eight human auditory models of monaural processing" (2022) in Acta Acustica
  • "Robust Data-Driven Auditory Profiling Towards Precision Audiology" (2020) published in Trends in Hearing
  • "Age-related reduction in frequency-following responses as a potential marker of cochlear neural degeneration" (2021) in Hearing Research
  • "Investigating the Reliability of Pupillometry as a Measure of Individualized Listening Effort" (2023) published in Trends in Hearing

They have collaborated frequently with coauthors including Jens Hjortkjær, Raul Sánchez-López, Michal Fereczkowski, Tobias Neher, and Helia Relaño-Iborra, reflecting consistent partnerships in their research output.

Best Publications

  • Modeling auditory processing of amplitude modulation I. Detection and masking with narrow-band carriers

    Torsten Dau;Birger Kollmeier;Armin Kohlrausch

  • A quantitative model of the "effective" signal processing in the auditory system. I. Model structure.

    Torsten Dau;Dirk Püschel;Armin Kohlrausch

  • Auditory brainstem responses with optimized chirp signals compensating basilar-membrane dispersion

    Torsten Dau;Oliver Wegner;Volker Mellert;Birger Kollmeier

  • Modeling auditory processing of amplitude modulation II. Spectral and temporal integration

    Torsten Dau;Birger Kollmeier;Armin Kohlrausch

  • Characterizing frequency selectivity for envelope fluctuations.

    Stephan D. Ewert;Torsten Dau

  • The influence of carrier level and frequency on modulation and beat-detection thresholds for sinusoidal carriers

    Armin Kohlrausch;Ralf Fassel;Torsten Dau

  • Relations between frequency selectivity, temporal fine-structure processing, and speech reception in impaired hearing.

    Olaf Strelcyk;Torsten Dau

  • A computational model of human auditory signal processing and perception

    Morten Løve Jepsen;Stephan D. Ewert;Torsten Dau

  • Noise-robust cortical tracking of attended speech in real-world acoustic scenes.

    Søren Asp Fuglsang;Torsten Dau;Jens Hjortkjær;Jens Hjortkjær

  • Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.

    Søren Jørgensen;Torsten Dau

  • Modeling auditory processing of amplitude modulation

    Torsten Dau

  • A QUANTITATIVE MODEL OF THE EFFECTIVE SIGNAL PROCESSING IN THE AUDITORY SYSTEM. II. SIMULATIONS AND MEASUREMENTS

    Torsten Dau;Dirk Püschel;Armin Kohlrausch

  • A multi-resolution envelope-power based model for speech intelligibility.

    Søren Jørgensen;Stephan D. Ewert;Torsten Dau

  • Searching for the optimal stimulus eliciting auditory brainstem responses in humans

    Oliver Fobel;Torsten Dau

  • The Danish hearing in noise test.

    Jens Bo Nielsen;Torsten Dau

  • Effects of sensorineural hearing loss on cortical synchronization to competing speech during selective attention

    Søren A Fuglsang;Søren A Fuglsang;Jonatan Märcher-Rørsted;Torsten Dau;Jens Hjortkjær;Jens Hjortkjær

  • Within-channel cues in comodulation masking release (CMR): experiments and model predictions using a modulation-filterbank model.

    Jesko L. Verhey;Torsten Dau;Birger Kollmeier

  • Intrinsic envelope fluctuations and modulation-detection thresholds for narrow-band noise carriers.

    Torsten Dau;Jesko Verhey;Armin Kohlrausch

  • The importance of cochlear processing for the formation of auditory brainstem and frequency following responses

    Torsten Dau

  • Impact of Background Noise and Sentence Complexity on Processing Demands during Sentence Comprehension

    Dorothea Wendt;Torsten Dau;Jens Hjortkjær;Jens Hjortkjær

  • Masking patterns for sinusoidal and narrow-band noise maskers.

    Brian C. J. Moore;Joseph I. Alcántara;Torsten Dau

Frequent Co-Authors

Birger Kollmeier
Birger Kollmeier Carl von Ossietzky University of Oldenburg
Andrew J. Oxenham
Andrew J. Oxenham University of Minnesota
Barbara G. Shinn-Cunningham
Barbara G. Shinn-Cunningham Carnegie Mellon University
Brian C. J. Moore
Brian C. J. Moore University of Cambridge
Christopher A. Shera
Christopher A. Shera University of Southern California
André Rupp
André Rupp Heidelberg University
Jan Wouters
Jan Wouters KU Leuven
Roy D. Patterson
Roy D. Patterson University of Cambridge
Jens Nielsen
Jens Nielsen Chalmers University of Technology
Robert J. Zatorre
Robert J. Zatorre McGill University

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