World's Best Scientists 2026 revealed!
Sharon Gannot

Sharon Gannot

D-Index & Metrics

Computer Science

D-Index
48
Citations
11300
World Ranking
6108
National Ranking
96

Sharon Gannot 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 Sharon Gannot 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 322 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.

Sharon Gannot 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 Sharon Gannot sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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.

Overview

Sharon Gannot is affiliated with Bar-Ilan University in Israel, contributing extensively to the fields of computer science and engineering. Their research primarily focuses on signal processing, with a significant emphasis on speech and audio technologies.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Among the subfields of study, their work covers:

  • Signal Processing
  • Computational Mechanics
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Biomedical Engineering

Gannot's research topics concentrate on:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Speech Recognition and Synthesis
  • Blind Source Separation Techniques
  • Indoor and Outdoor Localization Technologies
  • Acoustic Wave Phenomena Research

They have published frequently in several academic venues, notably:

  • arXiv (Cornell University)
  • EURASIP Journal on Audio Speech and Music Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Signal Processing Magazine
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Notable recent papers authored or co-authored by Gannot include:

  • Semi-Supervised Multiple Source Localization Using Relative Harmonic Coefficients Under Noisy and Reverberant Environments (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • Intrapersonal and interpersonal vocal affect dynamics during psychotherapy (2021, Journal of Consulting and Clinical Psychology)
  • Dynamically localizing multiple speakers based on the time-frequency domain (2021, EURASIP Journal on Audio Speech and Music Processing)
  • dEchorate: a calibrated room impulse response dataset for echo-aware signal processing (2021, EURASIP Journal on Audio Speech and Music Processing)
  • Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years (2023, IEEE Signal Processing Magazine)

Gannot collaborates frequently with several co-authors, including:

  • Shlomo E. Chazan
  • Pinchas Tandeitnik
  • Diego Di Carlo
  • Cédric Foy
  • Nancy Bertin

Best Publications

  • Signal enhancement using beamforming and nonstationarity with applications to speech

    S. Gannot;D. Burshtein;E. Weinstein

  • A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation

    Sharon Gannot;Emmanuel Vincent;Shmulik Markovich-Golan;Alexey Ozerov

  • Machine learning in acoustics: Theory and applications

    Michael J. Bianco;Peter Gerstoft;James Traer;Emma Ozanich

  • A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research

    Keisuke Kinoshita;Marc Delcroix;Sharon Gannot;Emanuël A. P. Habets

  • Iterative and sequential Kalman filter-based speech enhancement algorithms

    S. Gannot;D. Burshtein;E. Weinstein

  • Multichannel Eigenspace Beamforming in a Reverberant Noisy Environment With Multiple Interfering Speech Signals

    S. Markovich;S. Gannot;I. Cohen

  • Audio source separation and speech enhancement

    Emmanuel Vincent;Tuomas Virtanen;Sharon Gannot

  • Multichannel audio database in various acoustic environments

    Elior Hadad;Florian Heese;Peter Vary;Sharon Gannot

  • Acoustic Beamforming for Hearing Aid Applications

    Simon Doclo;Sharon Gannot;Marc Moonen;Ann Spriet

  • Speech enhancement based on the general transfer function GSC and postfiltering

    S. Gannot;I. Cohen

  • Generating sensor signals in isotropic noise fields.

    Emanuël A. P. Habets;Sharon Gannot

  • Subspace methods for multimicrophone speech dereverberation

    Sharon Gannot;Marc Moonen

  • Late Reverberant Spectral Variance Estimation Based on a Statistical Model

    E.A.P. Habets;S. Gannot;I. Cohen

  • New Insights Into the MVDR Beamformer in Room Acoustics

    E. Habets;J. Benesty;I. Cohen;S. Gannot

  • Generating nonstationary multisensor signals under a spatial coherence constraint.

    Emanuël A. P. Habets;Israel Cohen;Sharon Gannot

  • Relative Transfer Function Identification Using Convolutive Transfer Function Approximation

    R. Talmon;I. Cohen;S. Gannot

  • Time difference of arrival estimation of speech source in a noisy and reverberant environment

    Tsvi G. Dvorkind;Sharon Gannot

  • Adaptive Beamforming and Postfiltering

    Sharon Gannot;Israel Cohen

  • Speech enhancement using a mixture-maximum model

    D. Burshtein;S. Gannot

  • Performance analysis of the covariance subtraction method for relative transfer function estimation and comparison to the covariance whitening method

    Shmulik Markovich-Golan;Sharon Gannot

  • Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks

    Shmulik Markovich-Golan;Alexander Bertrand;Marc Moonen;Sharon Gannot

Frequent Co-Authors

Israel Cohen
Israel Cohen Technion – Israel Institute of Technology
Emanuel A. P. Habets
Emanuel A. P. Habets University of Erlangen-Nuremberg
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Radu Horaud
Radu Horaud French Institute for Research in Computer Science and Automation - INRIA
Jacob Goldberger
Jacob Goldberger Bar-Ilan University
Simon Doclo
Simon Doclo Carl von Ossietzky University of Oldenburg
Walter Kellermann
Walter Kellermann University of Erlangen-Nuremberg
Patrick A. Naylor
Patrick A. Naylor Imperial College London
Peter Gerstoft
Peter Gerstoft University of California, San Diego
Jacob Benesty
Jacob Benesty Institut National de la Recherche Scientifique

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