World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
12440
World Ranking
10459
National Ranking
4373

Richard Rose 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 Richard Rose 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Richard Rose 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 Richard Rose 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Richard Rose is affiliated with Google in the United States, where their research activity spans multiple interdisciplinary fields. Their work mainly intersects social sciences and computer science, with particular contributions in artificial intelligence, political science, and signal processing.

Their research interests primarily cover topics related to speech recognition and synthesis, speech and audio processing, and speech and dialogue systems. Additionally, they have explored European Union policy and governance, social policy and reform studies, European socioeconomic and political studies, and issues connected to global security and public health.

Richard Rose's recent publications include the following:

  • Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Cascaded encoders for fine-tuning ASR models on overlapped speech, 2023, arXiv (Cornell University)
  • A deep convolutional neural network for detecting volcanic thermal images, 2024, International Journal of Computational Vision and Robotics

Their work has been published in venues such as the IEEE Journal of Selected Topics in Signal Processing, arXiv, and the International Journal of Computational Vision and Robotics.

Frequent collaborators include Bernhard Weßels, Xiaodong He, Li Deng, Minlie Huang, and Isabel Trancoso, reflecting collaborative efforts across speech and language processing and related interdisciplinary studies.

Best Publications

  • Robust text-independent speaker identification using Gaussian mixture speaker models

    D.A. Reynolds;R.C. Rose

  • Automatic speech recognition and speech variability: A review

    M. Benzeghiba;R. De Mori;O. Deroo;Stephane Dupont

  • A hidden Markov model based keyword recognition system

    R.C. Rose;D.B. Paul

  • System and method for processing speech recognition

    Richard C. Rose;Sarangarajan Pathasarathy;Aaron Edward Rosenberg;Shrikanth Sambasivan Narayanan

  • Speaker normalization using efficient frequency warping procedures

    Li Lee;R.C. Rose

  • System and method of performing user-specific automatic speech recognition

    Bojana Gajic;Shrikanth Sambasivan Narayanan;Sarangarajan Parthasarathy;Richard Cameron Rose

  • A frequency warping approach to speaker normalization

    L. Lee;R. Rose

  • The subspace Gaussian mixture model-A structured model for speech recognition

    Daniel Povey;Lukáš Burget;Mohit Agarwal;Pinar Akyazi

  • Subspace Gaussian Mixture Models for speech recognition

    Daniel Povey;Lukas Burget;Mohit Agarwal;Pinar Akyazi

  • Integrated models of signal and background with application to speaker identification in noise

    R.C. Rose;E.M. Hofstetter;D.A. Reynolds

  • Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models

    Lukas Burget;Petr Schwarz;Mohit Agarwal;Pinar Akyazi

  • Acoustic Modeling for Google Home

    Bo Li;Tara N. Sainath;Arun Narayanan;Joe Caroselli

  • Text independent speaker identification using automatic acoustic segmentation

    R.C. Rose;D.A. Reynolds

  • Systems and methods for dynamic re-configurable speech recognition

    Richard C. Rose;Bojana Gajic

  • Tools and Technologies for Computer-Aided Speech and Language Therapy

    Oscar Saz;Shou-Chun Yin;Eduardo Lleida;Richard Rose

  • A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition

    Aren Jansen;Emmanuel Dupoux;Sharon Goldwater;Mark Johnson

  • Confidence measures for the SWITCHBOARD database

    S. Cox;R. Rose

  • Combined frequency warping and spectral shaping in HMM based speech recognition

    Alexandros Potamianos;Richard Cameron Rose

  • A training procedure for verifying string hypotheses in continuous speech recognition

    R.C. Rose;B.H. Juang;C.H. Lee

  • Utterance verification in continuous speech recognition: decoding and training procedures

    E. Lleida;R.C. Rose

Frequent Co-Authors

Alexandros Potamianos
Alexandros Potamianos National Technical University of Athens
Samuel Thomas
Samuel Thomas IBM (United States)
Aaron E. Rosenberg
Aaron E. Rosenberg AT&T (United States)
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Lukas Burget
Lukas Burget Brno University of Technology
Martin Karafiat
Martin Karafiat Brno University of Technology
Daniel Povey
Daniel Povey Xiaomi (China)
Patrick Kenny
Patrick Kenny École de Technologie Supérieure
Aren Jansen
Aren Jansen Google (United States)

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