World's Best Scientists 2026 revealed!
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Computer Science
Switzerland
2026
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Electronics and Electrical Engineering
Switzerland
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
118
Citations
79459
World Ranking
67
National Ranking
4

Computer Science

D-Index
118
Citations
80954
World Ranking
157
National Ranking
4

Martin Vetterli publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Martin Vetterli sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 724 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Martin Vetterli D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Vetterli sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 118 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2019 - Member of Academia Europaea
  • 2017 - Jack S. Kilby Signal Processing Medal For fundamental contributions to advanced sampling
  • 2015 - Member of the National Academy of Engineering For development of time-frequency representations and algorithms in multimedia signal processing and communications.
  • 2009 - ACM Fellow For contributions to multimedia compression and communication.

Overview

Martin Vetterli is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans engineering and computer science, with a focus on subfields such as computer vision and pattern recognition, biomedical engineering, electrical and electronic engineering, media technology, and computational mechanics.

The scientist's work covers main topics including sparse and compressive sensing techniques, random lasers and scattering media, image and signal denoising methods, optical measurement and interference techniques, photoacoustic and ultrasonic imaging, image processing techniques and applications, as well as optical coherence tomography applications.

Frequent publication venues for Martin Vetterli include:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Robotics and Automation Letters
  • International Journal of Human-Computer Interaction
  • Proceedings of the National Academy of Sciences

Martin Vetterli has collaborated frequently with:

  • Eric Bezzam
  • Adam Scholefield
  • Matthieu Simeoni
  • Karen Adam
  • Gilles Baechler

Recent papers authored or co-authored by Martin Vetterli include:

  • Sampling and Reconstruction of Bandlimited Signals With Multi-Channel Time Encoding, 2020, IEEE Transactions on Signal Processing
  • CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI, 2020, IEEE Transactions on Signal Processing
  • Blind as a Bat: Audible Echolocation on Small Robots, 2022, IEEE Robotics and Automation Letters
  • Interactive Digital Engagement With Visual Artworks and Cultural Artefacts Enhances User Aesthetic Experiences in the Laboratory and Museum, 2022, International Journal of Human-Computer Interaction
  • Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals, 2021, IEEE Transactions on Signal Processing

Martin Vetterli has received multiple distinctions including:

  • Member of Academia Europaea, 2019
  • Jack S. Kilby Signal Processing Medal, 2017, for fundamental contributions to advanced sampling
  • Member of the National Academy of Engineering, 2015, for development of time-frequency representations and algorithms in multimedia signal processing and communications
  • ACM Fellow, 2009, for contributions to multimedia compression and communication

Best Publications

  • The contourlet transform: an efficient directional multiresolution image representation

    M.N. Do;M. Vetterli

  • Wavelets and Subband Coding

    Martin Vetterli;Jelena Kovačevic

  • Adaptive wavelet thresholding for image denoising and compression

    S.G. Chang;Bin Yu;M. Vetterli

  • Wavelets and signal processing

    O. Rioul;M. Vetterli

  • Spatially adaptive wavelet thresholding with context modeling for image denoising

    S.G. Chang;Bin Yu;M. Vetterli

  • Wavelets and filter banks: theory and design

    M. Vetterli;C. Herley

  • Receiver-driven layered multicast

    Steven McCanne;Van Jacobson;Martin Vetterli

  • Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance

    M.N. Do;M. Vetterli

  • Fast fourier transforms: a tutorial review and a state of the art

    P. Duhamel;M. Vetterli

  • Sampling signals with finite rate of innovation

    M. Vetterli;P. Marziliano;T. Blu

  • The finite ridgelet transform for image representation

    M.N. Do;M. Vetterli

  • Best wavelet packet bases in a rate-distortion sense

    K. Ramchandran;M. Vetterli

  • Contourlets: a directional multiresolution image representation

    M.N. Do;M. Vetterli

  • Low-complexity video coding for receiver-driven layered multicast

    S. McCanne;M. Vetterli;V. Jacobson

  • Multi-dimensional sub-band coding: Some theory and algorithms

    Martin Vetterli

  • Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation

    A. Gilloire;M. Vetterli

  • A frequency domain approach to registration of aliased images with application to super-resolution

    Patrick Vandewalle;Sabine Süsstrunk;Martin Vetterli

  • Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for R/sup n/

    J. Kovacevic;M. Vetterli;M. Vetterli;M. Vetterli

  • On the capacity of wireless networks: the relay case

    M. Gastpar;M. Vetterli

  • Euclidean Distance Matrices: Essential theory, algorithms, and applications

    Ivan Dokmanic;Reza Parhizkar;Juri Ranieri;Martin Vetterli

  • Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders

    K. Ramchandran;A. Ortega;M. Vetterli

Frequent Co-Authors

Pier Luigi Dragotti
Pier Luigi Dragotti Imperial College London
Jelena Kovacevic
Jelena Kovacevic New York University
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Yue M. Lu
Yue M. Lu Beijing University of Posts and Telecommunications
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Michael Gastpar
Michael Gastpar École Polytechnique Fédérale de Lausanne
Vivek K. Goyal
Vivek K. Goyal Boston University
Antonio Ortega
Antonio Ortega University of Southern California
Patrick Thiran
Patrick Thiran École Polytechnique Fédérale de Lausanne
Thierry Blu
Thierry Blu Chinese University of Hong Kong

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