World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
18189
World Ranking
6018
National Ranking
2707

Geoffrey Zweig 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 Geoffrey Zweig 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: 140 publications — 23rd percentile

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

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

Geoffrey Zweig 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 Geoffrey Zweig 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: 48 D-Index — 58th percentile

58% 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

  • 2013 - IEEE Fellow For contribuitons to advance speech recognition

Overview

Geoffrey Zweig is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on areas including artificial intelligence and signal processing. Their research spans multiple subfields and topical domains, highlighting a varied interest in both theoretical and applied aspects of technology.

Their primary fields of study include:

  • Computer Science

The subfields of study in which Geoffrey Zweig has published are:

  • Artificial Intelligence
  • Signal Processing
  • Cancer Research
  • Computer Vision and Pattern Recognition
  • Epidemiology

Topics prominently featured in their work encompass:

  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Cancer-related molecular mechanisms research
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications

Some of Geoffrey Zweig's recent publications include:

  • "On Compositions of Transformations in Contrastive Self-Supervised Learning", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Improving Rnn Transducer Based Asr With Auxiliary Tasks", 2024, IEEE RESOURCE CENTERS
  • "Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model", 2020, arXiv (Cornell University)
  • "Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces", 2020, arXiv (Cornell University)
  • "Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition", 2021, arXiv (Cornell University)

The venues frequently chosen for publication include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
  • IEEE RESOURCE CENTERS

Co-authorship collaborations are a key aspect of Geoffrey Zweig's research, with recurring partnerships including:

  • Yatharth Saraf
  • Chunxi Liu
  • Mandela Patrick
  • Ruth Fong
  • João F. Henriques

Recognition for their work includes the IEEE Fellow award received in 2013 for contributions to advancing speech recognition technology.

Best Publications

  • Linguistic Regularities in Continuous Space Word Representations

    Tomas Mikolov;Wen-tau Yih;Geoffrey Zweig

  • Syntactic clustering of the Web

    Andrei Z. Broder;Steven C. Glassman;Mark S. Manasse;Geoffrey Zweig

  • From captions to visual concepts and back

    Hao Fang;Saurabh Gupta;Forrest Iandola;Rupesh K. Srivastava

  • Recent advances in deep learning for speech research at Microsoft

    Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao

  • Context dependent recurrent neural network language model

    Tomas Mikolov;Geoffrey Zweig

  • Using recurrent neural networks for slot filling in spoken language understanding

    Grégoire Mesnil;Yann Dauphin;Kaisheng Yao;Yoshua Bengio

  • Spoken language understanding using long short-term memory neural networks

    Kaisheng Yao;Baolin Peng;Yu Zhang;Dong Yu

  • Recurrent neural networks for language understanding.

    Kaisheng Yao;Geoffrey Zweig;Mei-Yuh Hwang;Yangyang Shi

  • fMPE: discriminatively trained features for speech recognition

    D. Povey;B. Kingsbury;L. Mangu;G. Saon

  • Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

    Jason D Williams;Kavosh Asadi;Geoffrey Zweig

  • Joint Language and Translation Modeling with Recurrent Neural Networks

    Michael Auli;Michel Galley;Chris Quirk;Geoffrey Zweig

  • Language Models for Image Captioning: The Quirks and What Works

    Jacob Devlin;Hao Cheng;Hao Fang;Saurabh Gupta

  • The graphical models toolkit: An open source software system for speech and time-series processing

    Jeff Bilmes;Geoffrey Zweig

  • The microsoft 2016 conversational speech recognition system

    W. Xiong;J. Droppo;X. Huang;F. Seide

  • Toward Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Transformer-Based Acoustic Modeling for Hybrid Speech Recognition

    Yongqiang Wang;Abdelrahman Mohamed;Due Le;Chunxi Liu

  • Intra-language statistical machine translation

    Xiao Li;Yun-Cheng Ju;Geoffrey Zweig;Alex Acero

  • Joint semantic utterance classification and slot filling with recursive neural networks

    Daniel Guo;Gokhan Tur;Wen-tau Yih;Geoffrey Zweig

  • Sequence-to-sequence neural net models for grapheme-to-phoneme conversion

    Unknown

  • Physical mapping of chromosomes using unique probes.

    Farid Alizadeh;Richard M. Karp;Deborah K. Weisser;Geoffrey Zweig

  • Advances in speech transcription at IBM under the DARPA EARS program

    S.F. Chen;B. Kingsbury;Lidia Mangu;D. Povey

Frequent Co-Authors

Patrick Nguyen
Patrick Nguyen Google (United States)
Dong Yu
Dong Yu Tencent (China)
Alejandro Acero
Alejandro Acero Apple (United States)
Jason D. Williams
Jason D. Williams Apple (United States)
John Platt
John Platt Google (United States)
Wen-tau Yih
Wen-tau Yih Facebook (United States)
Xiaodong He
Xiaodong He Chinese Academy of Sciences
Li Deng
Li Deng Citadel
Jasha Droppo
Jasha Droppo Amazon (United States)
Tomas Mikolov
Tomas Mikolov Czech Technical University in Prague

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