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Computer Science
UK
2023

D-Index & Metrics

Computer Science

D-Index
63
Citations
16722
World Ranking
2745
National Ranking
159

Mark J. F. Gales 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 Mark J. F. Gales 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: 415 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Mark J. F. Gales 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 Mark J. F. Gales 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: 63 D-Index — 81st percentile

81% 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

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

Overview

Mark J. F. Gales is affiliated with the University of Cambridge in the United Kingdom. Their research contributions primarily span the field of Computer Science, with a strong focus on Artificial Intelligence. Additional subfields include Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

The scientist's work covers a range of topics, notably Natural Language Processing Techniques, Topic Modeling, Speech Recognition and Synthesis, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications, and Text Readability and Simplification.

Their recent papers include the following:

  • Ensemble Distribution Distillation, 2020, Apollo (University of Cambridge)
  • Detection of Heart Murmurs in Phonocardiograms with Parallel Hidden Semi-Markov Models, 2022, Computing in cardiology
  • SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models, 2023, arXiv (Cornell University)
  • Uncertainty Estimation in Autoregressive Structured Prediction, 2020, arXiv (Cornell University)
  • Regression Prior Networks, 2020, arXiv (Cornell University)

Frequent coauthors of Mark J. F. Gales include:

  • Vatsal Raina
  • Kate Knill
  • Andrey Malinin
  • Mengjie Qian
  • Potsawee Manakul

Publication venues where they have contributed most frequently are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Apollo (University of Cambridge)
  • Computing in cardiology
  • Findings of the Association for Computational Linguistics: ACL 2022

Best Publications

  • Maximum likelihood linear transformations for HMM-based speech recognition

    M.J.F. Gales

  • Application of Hidden Markov Models in Speech Recognition

    Mark Gales;Steve Young

  • Semi-tied covariance matrices for hidden Markov models

    M.J.F. Gales

  • Robust continuous speech recognition using parallel model combination

    M.J.F. Gales;S.J. Young

  • Mean and variance adaptation within the MLLR framework

    Mark J. F. Gales;Philip C. Woodland

  • Predictive uncertainty estimation via prior networks

    Andrey Malinin;Mark Gales

  • An improved approach to the hidden Markov model decomposition of speech and noise

    M.J.F. Gales;S. Young

  • Cluster adaptive training of hidden Markov models

    Unknown

  • Cepstral parameter compensation for HMM recognition in noise

    M. J. F. Gales;S. J. Young

  • Speech Recognition using SVMs

    N. Smith;Mark Gales

  • Robust speech recognition in additive and convolutional noise using parallel model combination

    Mark J. F. Gales;Steve J. Young

  • HMM recognition in noise using parallel model combination.

    M. J. F. Gales;Steve J. Young

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

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

  • Data augmentation for low resource languages

    Anton Ragni;Kate M. Knill;Shakti P. Rath;Mark J. F. Gales

  • Ensemble Distribution Distillation

    Andrey Malinin;Bruno Mlodozeniec;Mark Gales

  • SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

    Unknown

  • Speech recognition and keyword spotting for low-resource languages : Babel project research at CUED

    Mark J. F. Gales;Kate M. Knill;Anton Ragni;Shakti P. Rath

  • Consensus Network Decoding for Statistical Machine Translation System Combination

    K. C. Sim;W. J. Byrne;M. J. F. Gales;H. Sahbi

  • The Cambridge University March 2005 speaker diarisation system.

    Rohit Sinha;S. E. Tranter;M. J. F. Gales;Philip C. Woodland

  • Lightly supervised recognition for automatic alignment of large coherent speech recordings.

    Norbert Braunschweiler;Mark J. F. Gales;Sabine Buchholz

  • Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness

    Andrey Malinin;Mark J. F. Gales

  • Fundamental Technologies in Modern Speech Recognition

    Sadaoki Furui;Li Deng;Mark Gales;Hermann Ney

  • Uncertainty Estimation in Autoregressive Structured Prediction

    Andrey Malinin;Mark Gales

Frequent Co-Authors

Philip C. Woodland
Philip C. Woodland University of Cambridge
Steve Young
Steve Young University of Cambridge
Kai Yu
Kai Yu Shanghai Jiao Tong University
Yanmin Qian
Yanmin Qian Shanghai Jiao Tong University
Heiga Zen
Heiga Zen Google (United States)
Thomas Hain
Thomas Hain University of Sheffield
Keiichi Tokuda
Keiichi Tokuda Nagoya Institute of Technology
Steve Renals
Steve Renals University of Edinburgh
Ralf Schlüter
Ralf Schlüter RWTH Aachen University
Bhuvana Ramabhadran
Bhuvana Ramabhadran Google (United States)

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