World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5559
World Ranking
11256
National Ranking
4648

Michiel Bacchiani 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 Michiel Bacchiani 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Michiel Bacchiani 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 Michiel Bacchiani 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Michiel Bacchiani is affiliated with Google in the United States. Their research primarily focuses on areas within Computer Science, including Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, and Experimental and Cognitive Psychology.

The scientist's work covers several main topics, including:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Topic Modeling
  • Indoor and Outdoor Localization Technologies
  • Phonetics and Phonology Research

Michiel Bacchiani has published extensively, with notable recent papers including:

  • Knowledge Transfer from Large-Scale Pretrained Language Models to End-To-End Speech Recognizers, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • SNRi Target Training for Joint Speech Enhancement and Recognition, 2022, Interspeech 2022
  • DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement, 2021, arXiv (Cornell University)
  • SNRi Target Training for Joint Speech Enhancement and Recognition, 2021, arXiv (Cornell University)
  • WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration, 2022, arXiv (Cornell University)

The venues where Michiel Bacchiani frequently publishes include:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022

Frequent co-authors working alongside Michiel Bacchiani are:

  • Shigeki Karita
  • Yuma Koizumi
  • Heiga Zen
  • Yotaro Kubo
  • Kohei Yatabe

Best Publications

  • State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

    Chung-Cheng Chiu;Tara N. Sainath;Yonghui Wu;Rohit Prabhavalkar

  • Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition

    Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson;Bo Li

  • Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home

    Chanwoo Kim;Ananya Misra;Kean K. Chin;Thad Hughes

  • Unsupervised language model adaptation

    M. Bacchiani;B. Roark

  • Acoustic Modeling for Google Home

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

  • Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

    Reinhold Haeb-Umbach;Shinji Watanabe;Tomohiro Nakatani;Michiel Bacchiani

  • Restoring punctuation and capitalization in transcribed speech

    Agustin Gravano;Martin Jansche;Michiel Bacchiani

  • SCANMail: a voicemail interface that makes speech browsable, readable and searchable

    Steve Whittaker;Julia Hirschberg;Brian Amento;Litza Stark

  • From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding

    Parisa Haghani;Arun Narayanan;Michiel Bacchiani;Galen Chuang

  • Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition

    Bo Li;Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson

  • Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model

    Bo Li;Tara N. Sainath;Khe Chai Sim;Michiel Bacchiani

  • Large Vocabulary Automatic Speech Recognition for Children

    Hank Liao;Golan Pundak;Olivier Siohan;Melissa K. Carroll

  • Supervised and unsupervised PCFG adaptation to novel domains

    Brian Roark;Michiel Bacchiani

  • Processing multi-channel audio waveforms

    Tara N. Sainath;Ron J. Weiss;Kevin William Wilson;Andrew W. Senior

  • Toward Domain-Invariant Speech Recognition via Large Scale Training

    Arun Narayanan;Ananya Misra;Khe Chai Sim;Golan Pundak

  • MAP adaptation of stochastic grammars

    Michiel Bacchiani;Michael Riley;Brian Roark;Richard Sproat

  • AT&T at TREC-8.

    Amit Singhal;Steven P. Abney;Michiel Bacchiani;Michael Collins

  • Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms

    Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson;Arun Narayanan

  • Fast Vocabulary-Independent Audio Search Using Path-Based Graph Indexing

    Olivier Siohan;Michiel Bacchiani

  • An audio indexing system for election video material

    Christopher Alberti;Michiel Bacchiani;Ari Bezman;Ciprian Chelba

Frequent Co-Authors

Tara N. Sainath
Tara N. Sainath Google (United States)
Bo Li
Bo Li University of Illinois at Urbana-Champaign
Andrew W. Senior
Andrew W. Senior Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Georg Heigold
Georg Heigold German Research Centre for Artificial Intelligence
Rohit Prabhavalkar
Rohit Prabhavalkar Google (United States)
Julia Hirschberg
Julia Hirschberg Columbia University
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Brian Roark
Brian Roark Google (United States)

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