World's Best Scientists 2026 revealed!
Sharon Gannot

Sharon Gannot

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 48 6109 5935 96 91 322 11300

Sharon Gannot publications per year

The chart shows the history of publications by Sharon Gannot between 1995 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sharon Gannot published across 32 years, from 1995 to 2026, averaging 11.5 papers a year. Output peaked at 39 publications in 2018. 21 of the 369 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1995 to 2026. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2018. 1995: 1 publication 1996: 0 publications 1997: 1 publication 1998: 1 publication 1999: 0 publications 2000: 0 publications 2001: 3 publications 2002: 4 publications 2003: 8 publications 2004: 3 publications 2005: 2 publications 2006: 6 publications 2007: 8 publications 2008: 13 publications 2009: 9 publications 2010: 13 publications 2011: 6 publications 2012: 13 publications 2013: 14 publications 2014: 12 publications 2015: 24 publications 2016: 31 publications 2017: 25 publications 2018: 39 publications 2019: 20 publications 2020: 21 publications 2021: 25 publications 2022: 10 publications 2023: 13 publications 2024: 23 publications 2025: 20 publications 2026: 1 publication
1995 2026

369 publications in total across all disciplines

View publications per year as a table
Sharon Gannot: publications per year, 1995 to 2026
Year Publications
1995 1
1996 0
1997 1
1998 1
1999 0
2000 0
2001 3
2002 4
2003 8
2004 3
2005 2
2006 6
2007 8
2008 13
2009 9
2010 13
2011 6
2012 13
2013 14
2014 12
2015 24
2016 31
2017 25
2018 39
2019 20
2020 21
2021 25
2022 10
2023 13
2024 23
2025 20
2026 1
Total 369
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Sharon Gannot publications per year - data summary

  • Sharon Gannot, a Computer Science scholar from Bar-Ilan University, has 369 publications recorded across 32 years, from 1995 to 2026.
  • The oldest publication on record dates to 1995 and the most recent to 2026.
  • The most productive year is 2018, with 39 publications.
  • The least productive years with any output are 1995, 1997, 1998 and 2026, with 1 publication each.
  • 3 of the 32 years in the span carry no publications at all (1996, 1999 and 2000).
  • The rate of publication averages 11.5 papers per year over the whole span, or 12.7 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 67 publications, 18% of the career total.
  • Split into equal eras - 1995-2005: 23 publications (2.1 per year); 2006-2016: 149 publications (13.5 per year); 2017-2026: 197 publications (19.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 322–331 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206 322
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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Sharon Gannot publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Sharon Gannot, a Computer Science scholar from Bar-Ilan University, records 322 publications - the 78th percentile of the discipline.
  • 78% of ranked Computer Science scientists score the same or lower than Sharon Gannot, and about 22% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Sharon Gannot ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543 48
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Sharon Gannot D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Sharon Gannot, a Computer Science scholar from Bar-Ilan University, records 48 D-Index - the 58th percentile of the discipline.
  • 58% of ranked Computer Science scientists score the same or lower than Sharon Gannot, and about 42% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Sharon Gannot ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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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