World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8643
World Ranking
12398
National Ranking
607

Rainer Martin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Rainer Martin sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Rainer Martin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Rainer Martin sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Rainer Martin is affiliated with Ruhr University Bochum in Germany and has contributed extensively to research in the fields of Computer Science, Engineering, and Neuroscience.

Their research spans several subfields, including:

  • Signal Processing
  • Cognitive Neuroscience
  • Computational Mechanics
  • Speech and Hearing
  • Electrical and Electronic Engineering

Main topics of their work encompass:

  • Speech and Audio Processing
  • Hearing Loss and Rehabilitation
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Noise Effects and Management
  • Neuroscience and Music Perception
  • Advanced SAR Imaging Techniques

Frequent publication venues include:

  • Laryngo-Rhino-Otologie
  • Otology & Neurotology
  • The Journal of the Acoustical Society of America
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • EURASIP Journal on Advances in Signal Processing

Noteworthy recent papers authored or coauthored by Rainer Martin are:

  • A Two-Stage DNN Model With Mask-Gated Convolution for Automotive Radar Interference Detection and Mitigation, 2022, IEEE Sensors Journal
  • A versatile deep-neural-network-based music preprocessing and remixing scheme for cochlear implant listeners, 2022, The Journal of the Acoustical Society of America
  • Nonauditory Functions in Low-performing Adult Cochlear Implant Users, 2020, Otology & Neurotology
  • Improved Target Detection Through DNN-Based Multi-Channel Interference Mitigation in Automotive Radar, 2023, IEEE Transactions on Radar Systems
  • Privacy-Preserving Audio Classification Using Variational Information Feature Extraction, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

Rainer Martin has collaborated frequently with several coauthors, including:

  • Christiane Völter
  • J Gauer
  • Anil Nagathil
  • Benjamin Lentz
  • Jalal Taghia

Best Publications

  • Noise power spectral density estimation based on optimal smoothing and minimum statistics

    R. Martin

  • Spectral Subtraction Based on Minimum Statistics

    Rainer Martin

  • Digital Speech Transmission: Enhancement, Coding and Error Concealment

    Peter Vary;Rainer Martin

  • Speech enhancement based on minimum mean-square error estimation and supergaussian priors

    R. Martin

  • Digital Speech Transmission

    Unknown

  • Speech enhancement using MMSE short time spectral estimation with gamma distributed speech priors

    Rainer Martin

  • An efficient algorithm to estimate the instantaneous SNR of speech signals.

    Rainer Martin

  • A psychoacoustic approach to combined acoustic echo cancellation and noise reduction

    S. Gustafsson;R. Martin;P. Jax;P. Vary

  • A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing

    C. Breithaupt;T. Gerkmann;R. Martin

  • Combined acoustic echo control and noise reduction for hands-free telephony

    S. Gustafsson;R. Martin;P. Vary

  • SPEECH ENHANCEMENT IN THE DFT DOMAIN USING LAPLACIAN SPEECH PRIORS

    Rainer Martin;Colin Breithaupt

  • Bias compensation methods for minimum statistics noise power spectral density estimation

    Rainer Martin

  • Improved A Posteriori Speech Presence Probability Estimation Based on a Likelihood Ratio With Fixed Priors

    T. Gerkmann;C. Breithaupt;R. Martin

  • Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features

    Hong Yu;Zheng-Hua Tan;Zhanyu Ma;Rainer Martin

  • Cepstral Smoothing of Spectral Filter Gains for Speech Enhancement Without Musical Noise

    C. Breithaupt;T. Gerkmann;R. Martin

  • Advances in Digital Speech Transmission

    Rainer Martin;Ulrich Heute;Christiane Antweiler

  • Phase estimation for signal reconstruction in single-channel source separation

    R. Saeidi;P. Mowlaee;R. Martin

  • Statistical Methods for the Enhancement of Noisy Speech

    Rainer Martin

  • New speech enhancement techniques for low bit rate speech coding

    R. Martin;R.V. Cox

  • Parameterized MMSE spectral magnitude estimation for the enhancement of noisy speech

    C. Breithaupt;M. Krawczyk;R. Martin

  • On the Statistics of Spectral Amplitudes After Variance Reduction by Temporal Cepstrum Smoothing and Cepstral Nulling

    T. Gerkmann;R. Martin

Frequent Co-Authors

Peter Vary
Peter Vary RWTH Aachen University
Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Reinhold Haeb-Umbach
Reinhold Haeb-Umbach University of Paderborn
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Günter Rudolph
Günter Rudolph TU Dortmund University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Sven Nordholm
Sven Nordholm Curtin University

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