World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8084
World Ranking
7576
National Ranking
3288

Jasha Droppo 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 Jasha Droppo 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Jasha Droppo 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 Jasha Droppo 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Jasha Droppo is affiliated with Amazon (United States) and has a research profile focused primarily within the field of Computer Science. Their work spans subfields including Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, and Clinical Psychology.

Their research topics predominantly cover Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, Natural Language Processing Techniques, Topic Modeling, Phonetics and Phonology Research, and Domain Adaptation and Few-Shot Learning.

Jasha Droppo has contributed to several papers published in notable venues. These include:

  • "Improving Fairness in Speaker Verification via Group-Adapted Fusion Network," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "Improved Representation Learning For Acoustic Event Classification Using Tree-Structured Ontology," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Adversarial Reweighting for Speaker Verification Fairness," 2022, Interspeech 2022
  • "Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation," 2022, Interspeech 2022

The frequent co-authors collaborating with Jasha Droppo include:

  • Andreas Stolcke
  • Brian King
  • Ariya Rastrow
  • Roland Maas
  • Gautam Tiwari

In terms of publication venues, Jasha Droppo often publishes in:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022
  • Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • 2022 IEEE Spoken Language Technology Workshop (SLT)

Best Publications

  • 1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.

    Frank Seide;Hao Fu;Jasha Droppo;Gang Li

  • The Microsoft 2017 Conversational Speech Recognition System

    W. Xiong;L. Wu;F. Alleva;J. Droppo

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • An Introduction to Computational Networks and the Computational Network Toolkit

    Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

  • Multi-task learning in deep neural networks for improved phoneme recognition

    Michael L. Seltzer;Jasha Droppo

  • 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

  • Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion

    Li Deng;J. Droppo;A. Acero

  • Uncertainty decoding with SPLICE for noise robust speech recognition

    Jasha Droppo;Alex Acero;Li Deng

  • High-performance robust speech recognition using stereo training data

    Li Deng;A. Acero;Li Jiang;J. Droppo

  • Evaluation of the SPLICE algorithm on the Aurora2 database.

    Jasha Droppo;Li Deng;Alex Acero

  • Enhancement of log Mel power spectra of speech using a phase-sensitive model of the acoustic environment and sequential estimation of the corrupting noise

    Li Deng;J. Droppo;A. Acero

  • Recursive estimation of nonstationary noise using iterative stochastic approximation for robust speech recognition

    Li Deng;J. Droppo;A. Acero

  • On parallelizability of stochastic gradient descent for speech DNNS

    Frank Seide;Hao Fu;Jasha Droppo;Gang Li

  • A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition

    Dong Yu;Li Deng;J. Droppo;Jian Wu

  • Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning

    Ritwik Giri;Michael L. Seltzer;Jasha Droppo;Dong Yu

  • Air- and bone-conductive integrated microphones for robust speech detection and enhancement

    Yanli Zheng;Zicheng Liu;Zhengyou Zhang;M. Sinclair

  • Advances in all-neural speech recognition

    Geoffrey Zweig;Chengzhu Yu;Jasha Droppo;Andreas Stolcke

  • Deep neural networks for single-channel multi-talker speech recognition

    Chao Weng;Dong Yu;Michael L. Seltzer;Jasha Droppo

  • Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention.

    Dong Yu;Wayne Xiong;Jasha Droppo;Andreas Stolcke

  • Noise Adaptive Training for Robust Automatic Speech Recognition

    O Kalinli;M L Seltzer;J Droppo;A Acero

Frequent Co-Authors

Li Deng
Li Deng Citadel
Alejandro Acero
Alejandro Acero Apple (United States)
Michael L. Seltzer
Michael L. Seltzer Facebook (United States)
Dong Yu
Dong Yu Tencent (China)
Xuedong Huang
Xuedong Huang Microsoft (United States)
Frank Seide
Frank Seide Microsoft (United States)
Yifan Gong
Yifan Gong Microsoft (United States)
Les Atlas
Les Atlas University of Washington
Geoffrey Zweig
Geoffrey Zweig Facebook (United States)

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