World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
14791
World Ranking
3792
National Ranking
1807

Bhuvana Ramabhadran 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 Bhuvana Ramabhadran 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: 327 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Bhuvana Ramabhadran 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 Bhuvana Ramabhadran 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: 57 D-Index — 74th percentile

74% 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

  • 2017 - IEEE Fellow For contributions to speech recognition and language processing

Overview

Bhuvana Ramabhadran is affiliated with Google, United States. Their research primarily spans across computer science, with a significant focus on artificial intelligence and signal processing. Their work addresses various topics involving speech recognition and synthesis, natural language processing techniques, music and audio processing, speech and audio processing, topic modeling, speech and dialogue systems, and brain tumor detection and classification.

Their notable recent publications include:

  • "BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition" (2022) published in IEEE Journal of Selected Topics in Signal Processing
  • "Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages" (2023) published in arXiv (Cornell University)
  • "MAESTRO: Matched Speech Text Representations through Modality Matching" (2022) presented at Interspeech 2022
  • "Injecting Text in Self-Supervised Speech Pretraining" (2021) from the 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • "Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses" (2022) presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Frequent collaborators in their research include Gary Wang, Andrew E. Rosenberg, Andrew Rosenberg, Zhehuai Chen, and Pedro J. Moreno.

The venues where Bhuvana Ramabhadran commonly publishes reflect a concentration in speech and signal processing communities, including:

  • arXiv (Cornell University)
  • Interspeech 2022
  • 2022 IEEE Spoken Language Technology Workshop (SLT)
  • IEEE Journal of Selected Topics in Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Their research areas cover:

  • Speech Recognition and Synthesis
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Speech and Audio Processing
  • Topic Modeling
  • Speech and dialogue systems
  • Brain Tumor Detection and Classification

Bhuvana Ramabhadran was recognized as an IEEE Fellow in 2017 for contributions to speech recognition and language processing.

Best Publications

  • Deep Convolutional Neural Networks for Large-scale Speech Tasks

    Tara N. Sainath;Brian Kingsbury;George Saon;Hagen Soltau

  • Deep convolutional neural networks for LVCSR

    Tara N. Sainath;Abdel-rahman Mohamed;Brian Kingsbury;Bhuvana Ramabhadran

  • Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

    Tara N. Sainath;Brian Kingsbury;Vikas Sindhwani;Ebru Arisoy

  • Boosted MMI for model and feature-space discriminative training

    D. Povey;D. Kanevsky;B. Kingsbury;B. Ramabhadran

  • Deep Belief Networks using discriminative features for phone recognition

    Abdel-rahman Mohamed;Tara N. Sainath;George Dahl;Bhuvana Ramabhadran

  • English Conversational Telephone Speech Recognition by Humans and Machines

    George Saon;Gakuto Kurata;Tom Sercu;Kartik Audhkhasi

  • Improvements to Deep Convolutional Neural Networks for LVCSR

    Tara N. Sainath;Brian Kingsbury;Abdel-rahman Mohamed;George E. Dahl

  • Deep Neural Network Language Models

    Ebru Arisoy;Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran

  • Vocabulary independent spoken term detection

    Jonathan Mamou;Bhuvana Ramabhadran;Olivier Siohan

  • Efficient Knowledge Distillation from an Ensemble of Teachers.

    Takashi Fukuda;Masayuki Suzuki;Gakuto Kurata;Samuel Thomas

  • Making Deep Belief Networks effective for large vocabulary continuous speech recognition

    Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran;Petr Fousek

  • Auto-encoder bottleneck features using deep belief networks

    Tara N. Sainath;Brian Kingsbury;Bhuvana Ramabhadran

  • Method and system for accent correction

    Sara H. Basson;Dimitiri Kanevsky;Edward E. Kelley;Bhuvana Ramabhadran

  • Method and apparatus for a communication device for use by a hearing impaired/mute or deaf person or in silent environments

    Peter Thomas Brunet;Abraham P. Ittycheriah;Chandrasekhar Narayanaswami;Michael Alan Picheny

  • Learning filter banks within a deep neural network framework

    Tara N. Sainath;Brian Kingsbury;Abdel-rahman Mohamed;Bhuvana Ramabhadran

  • Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

    Yu Zhang;Ron J. Weiss;Heiga Zen;Yonghui Wu

  • Large-Scale Multilingual Speech Recognition With A Streaming End-To-End Model

    Anjuli Kannan;Arindrima Datta;Tara N. Sainath;Eugene Weinstein

  • Deep belief nets for natural language call-routing

    Ruhi Sarikaya;Geoffrey E. Hinton;Bhuvana Ramabhadran

  • Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

    Unknown

  • Automatic recognition of spontaneous speech for access to multilingual oral history archives

    W. Byrne;D. Doermann;M. Franz;S. Gustman

  • Enhanced likelihood computation using regression in a speech recognition system

    Peter V. De Souza;Yuqing Gao;Michael Picheny;Bhuvana Ramabhadran

Frequent Co-Authors

Tara N. Sainath
Tara N. Sainath Google (United States)
Dimitri Kanevsky
Dimitri Kanevsky Google (United States)
Michael Picheny
Michael Picheny IBM (United States)
Brian Kingsbury
Brian Kingsbury IBM (United States)
David Nahamoo
David Nahamoo Pyron Inc.
George Saon
George Saon IBM (United States)
Samuel Thomas
Samuel Thomas IBM (United States)
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)
Abdel-rahman Mohamed
Abdel-rahman Mohamed Facebook (United States)
Yonghui Wu
Yonghui Wu Google (United States)

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