World's Best Scientists 2026 revealed!
Martin Cooke

Martin Cooke

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
42
Citations
11036
World Ranking
8208
National Ranking
112

Martin Cooke 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 Martin Cooke 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Martin Cooke 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 Martin Cooke 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Martin Cooke is a researcher affiliated with Ikerbasque in Spain, specializing in fields related to neuroscience, cognitive neuroscience, and experimental and cognitive psychology. Their work also encompasses signal processing, speech and hearing, and artificial intelligence within a broad spectrum of research domains.

The scientist's primary research topics focus on hearing loss and rehabilitation, phonetics and phonology research, speech and audio processing, noise effects and management, linguistic variation and morphology, neuroscience and music perception, as well as natural language processing techniques.

Martin Cooke has contributed to notable scientific journals, with frequent publications appearing in:

  • The Journal of the Acoustical Society of America
  • Zenodo (CERN European Organization for Nuclear Research)
  • Speech Communication
  • Cortex
  • Frontiers in Neuroscience

A selection of recent papers includes:

  • The time course of adaptation to distorted speech (2022), The Journal of the Acoustical Society of America
  • How reliable are online speech intelligibility studies with known listener cohorts? (2021), The Journal of the Acoustical Society of America

Frequent coauthors collaborating with Martin Cooke are:

  • María Luisa García Lecumberri
  • Rubén Pérez-Ramón
  • Olympia Simantiraki
  • Hans Rutger Bosker
  • Odette Scharenborg

The research includes investigations on adaptation to distorted speech, speech intelligibility in online studies, and aspects related to amplitude modulations aiding speech intelligibility under various conditions. The scientist's work supports understanding how hearing loss and speech processing operate in challenging auditory environments by combining insights from psychology, neuroscience, and signal processing.

Best Publications

  • An audio-visual corpus for speech perception and automatic speech recognition

    Martin Cooke;Jon Barker;Stuart Cunningham;Xu Shao

  • A glimpsing model of speech perception in noise.

    Martin Cooke

  • Robust automatic speech recognition with missing and unreliable acoustic data

    Martin Cooke;Phil Green;Ljubomir Josifovski;Ascension Vizinho

  • Computational auditory scene analysis

    Guy J. Brown;Martin Cooke

  • Modelling Auditory Processing and Organisation

    Martin Cooke

  • Non-native speech perception in adverse conditions: A review

    Maria Luisa Garcia Lecumberri;Martin Cooke;Anne Cutler

  • The foreign language cocktail party problem: Energetic and informational masking effects in non-native speech perception

    Martin Cooke;M. L. Garcia Lecumberri;Jon Barker

  • Effect of masker type on native and non-native consonant perception in noise

    M. L. Garcia Lecumberri;Martin Cooke

  • Recognizing speech under a processing load: dissociating energetic from informational factors.

    Sven L. Mattys;Joanna Brooks;Martin Cooke;Martin Cooke

  • Consonant identification in N-talker babble is a nonmonotonic function of N.

    Sarah A. Simpson;Martin Cooke

  • Monaural speech separation and recognition challenge

    Martin Cooke;John R. Hershey;Steven J. Rennie

  • The auditory organization of speech and other sources in listeners and computational models

    Martin Cooke;Daniel P.W. Ellis

  • The contribution of changes in F0 and spectral tilt to increased intelligibility of speech produced in noise

    Youyi Lu;Martin Cooke

  • Speech production modifications produced by competing talkers, babble, and stationary noise.

    Youyi Lu;Martin Cooke

  • DECODING SPEECH IN THE PRESENCE OF OTHER SOURCES

    Jon P. Barker;Martin P. Cooke;Daniel P. W. Ellis

  • Spectral and temporal changes to speech produced in the presence of energetic and informational maskers.

    Martin Cooke;Youyi Lu

  • Soft decisions in missing data techniques for robust automatic speech recognition.

    Jon Barker;Ljubomir Josifovski;Martin Cooke;Phil D. Green

  • Robust ASR Based On Clean Speech Models: An Evaluation of Missing Data Techniques For Connected Digit Recognition in Noise

    Jon Barker;Martin Cooke;Phil D. Green

  • Missing data techniques for robust speech recognition

    M. Cooke;A. Morris;P. Green

  • The listening talker: A review of human and algorithmic context-induced modifications of speech

    Martin Cooke;Martin Cooke;Simon King;Maëva Garnier;Vincent Aubanel;Vincent Aubanel

  • Evaluating the intelligibility benefit of speech modifications in known noise conditions

    Martin Cooke;Catherine Mayo;Cassia Valentini-Botinhao;Yannis Stylianou

  • Some solution to the missing feature problem in data classification, with application to noise robust ASR

    A.C. Morris;M.P. Cooke;P.D. Green

Frequent Co-Authors

Jon Barker
Jon Barker University of Sheffield
Guy J. Brown
Guy J. Brown University of Sheffield
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Sven L. Mattys
Sven L. Mattys University of York
Yannis Stylianou
Yannis Stylianou University of Crete
Anne Cutler
Anne Cutler Western Sydney University
Peter König
Peter König Osnabrück University
Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Sophie K. Scott
Sophie K. Scott University College London

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online physics degrees, data science, or electrical engineering can broaden your expertise and open up diverse technology career options. Many students choose cost-effective, accredited programs to build foundational knowledge, often while working or maintaining other responsibilities.

For those keen on data analytics and artificial intelligence, a data scientist degree is in high demand, with many universities in the USA offering affordable and reputable online pathways. Similarly, accredited online electrical engineering programs blend practical and theoretical skills, appealing to those wanting to innovate across hardware and software domains.

For a quicker entry into the tech workforce, some students consider easy certifications to get. These can complement a computer science degree or provide a boost for those changing careers. Carefully researching the delivery, cost, and outcomes of each pathway can help you choose the best match for your goals and interests.

Best Scientists Citing Martin Cooke

Trending Scientists

Recently Published Articles