World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
70
Citations
16839
World Ranking
1896
National Ranking
111

Steve Renals 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 Steve Renals 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: 382 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Steve Renals 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 Steve Renals 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: 70 D-Index — 87th percentile

87% 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 United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Steve Renals is affiliated with the University of Edinburgh in the United Kingdom. Their research primarily focuses on fields within Computer Science, with a significant emphasis on Signal Processing and Artificial Intelligence. Other areas of interest include Experimental and Cognitive Psychology, Genetics, and Electrical and Electronic Engineering.

Their scholarly contributions cover a range of topics such as:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Phonetics and Phonology Research
  • Natural Language Processing Techniques
  • Topic Modeling
  • Cleft Lip and Palate Research

Renals has been involved in publishing numerous papers, with recent notable works including:

  • "Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview", 2020, published in IEEE Open Journal of Signal Processing
  • "Exploiting ultrasound tongue imaging for the automatic detection of speech articulation errors", 2021, published in Speech Communication
  • "Multi-Stream Acoustic Modelling Using Raw Real and Imaginary Parts of the Fourier Transform", 2023, published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "European Language Grid: An Overview", 2020, published on arXiv (Cornell University)
  • "Automatic audiovisual synchronisation for ultrasound tongue imaging", 2021, published in Speech Communication

Their research work has been disseminated through frequent publication venues that include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Speech Communication
  • IEEE Open Journal of Signal Processing
  • Interspeech 2022

Renals has collaborated extensively with several researchers, with frequent coauthors being:

  • Peter Bell
  • Erfan Loweimi
  • Manuel Sam Ribeiro
  • Aciel Eshky
  • Korin Richmond

The breadth of Renals' work spans advanced methodologies in speech and audio processing, including the development and adaptation of neural network algorithms for speech recognition, as well as innovative techniques involving ultrasound tongue imaging applied to speech articulation.

Best Publications

  • Proceedings of the ACL Workshop on Intrinsic and Extrinsic Evaluation Measures for Machine Translation and/or Summarization

    Gabriel Murray;Steve Renals;Jean Carletta;Johanna Moore

  • WSJCAMO: a British English speech corpus for large vocabulary continuous speech recognition

    T. Robinson;J. Fransen;D. Pye;J. Foote

  • Connectionist probability estimators in HMM speech recognition

    S. Renals;N. Morgan;H. Bourlard;M. Cohen

  • Speaker verification using sequence discriminant support vector machines

    V. Wan;S. Renals

  • Extractive summarization of meeting recordings.

    Gabriel Murray;Steve Renals;Jean Carletta

  • Convolutional Neural Networks for Distant Speech Recognition

    Pawel Swietojanski;Arnab Ghoshal;Steve Renals

  • Document space models using latent semantic analysis.

    Yoshihiko Gotoh;Steve Renals

  • Proceedings of Interspeech 2013

    Liang Lu;Arnab Ghoshal;Steve Renals

  • Learning hidden unit contributions for unsupervised speaker adaptation of neural network acoustic models

    Pawel Swietojanski;Steve Renals

  • Multilingual training of deep neural networks

    Arnab Ghoshal;Pawel Swietojanski;Steve Renals

  • Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

    J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling

  • Speaker-Adaptation for Hybrid HMM-ANN Continuous Speech Recognition System

    João Paulo Neto;Luís B. Almeida;Mike Hochberg;Ciro Martins

  • THE USE OF RECURRENT NEURAL NETWORKS IN CONTINUOUS SPEECH RECOGNITION

    Tony Robinson;Mike Hochberg;Steve Renals

  • Recognition and understanding of meetings the AMI and AMIDA projects

    S. Renals;T. Hain;H. Bourlard

  • The MGB challenge: Evaluating multi-genre broadcast media recognition

    P Bell;M J F Gales;T Hain;J Kilgour

  • Speech and crosstalk detection in multichannel audio

    S.N. Wrigley;G.J. Brown;V. Wan;S. Renals

  • Punctuation annotation using statistical prosody models.

    Heidi Christensen;Yoshihiko Gotoh;Steve Renals

  • Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR

    Pawel Swietojanski;Arnab Ghoshal;Steve Renals

  • Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing

    Pawel Swietojanski;Steve Renals

  • The development of the AMI system for the transcription of speech in meetings

    Thomas Hain;Lukas Burget;John Dines;Iain McCowan

  • Proc IEEE International Conference on Acoustics, Speech and Signal Processing

    Peter Bell;Steve Renals

  • Proceedings of the 6th International Conference on Spoken Language Processing

    Konstantinos Koumpis;Steve Renals

  • Speaker Verification Using Sequence Discriminant

    Vincent Wan;Steve Renals

Frequent Co-Authors

Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Jean Carletta
Jean Carletta University of Edinburgh
Korin Richmond
Korin Richmond University of Edinburgh
Thomas Hain
Thomas Hain University of Sheffield
Nelson Morgan
Nelson Morgan International Computer Science Institute
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Iain Murray
Iain Murray University of Edinburgh
Songfang Huang
Songfang Huang IBM (United States)
Johanna D. Moore
Johanna D. Moore University of Edinburgh
Martin Karafiat
Martin Karafiat Brno University of Technology

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