World's Best Scientists 2026 revealed!
Benoit Champagne

Benoit Champagne

D-Index & Metrics

Computer Science

D-Index
41
Citations
7555
World Ranking
8810
National Ranking
347

Benoit Champagne 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 Benoit Champagne 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: 345 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Benoit Champagne 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 Benoit Champagne 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Benoit Champagne is a researcher affiliated with McGill University in Canada. Their work spans mainly the fields of Engineering and Computer Science, with a focus on specialized subfields including Electrical and Electronic Engineering, Aerospace Engineering, Signal Processing, Computer Networks and Communications, and Artificial Intelligence.

The main topics of Benoit Champagne's research contributions encompass:

  • Advanced MIMO Systems Optimization
  • Speech and Audio Processing
  • Millimeter-Wave Propagation and Modeling
  • Cooperative Communication and Network Coding
  • Full-Duplex Wireless Communications
  • Advanced Wireless Communication Technologies
  • Speech Recognition and Synthesis

Their recent published papers include:

  • Secrecy-Energy Efficient Hybrid Beamforming for Satellite-Terrestrial Integrated Networks, 2021, IEEE Transactions on Communications
  • Secure and Energy Efficient Transmission for RSMA-Based Cognitive Satellite-Terrestrial Networks, 2020, IEEE Wireless Communications Letters
  • Joint Parameter and Time-Delay Estimation for a Class of Nonlinear Time-Series Models, 2022, IEEE Signal Processing Letters
  • Padded Coprime Arrays for Improved DOA Estimation: Exploiting Hole Representation and Filling Strategies, 2020, IEEE Transactions on Signal Processing
  • Secure Beamforming for Cognitive Satellite Terrestrial Networks With Unknown Eavesdroppers, 2020, IEEE Systems Journal

Benoit Champagne frequently collaborates with several researchers, including:

  • Wei-Ping Zhu
  • Yunlong Cai
  • Ioannis Psaromiligkos
  • Alireza Morsali
  • Mohammad Amin Maleki Sadr

Their research has been published consistently in a variety of venues, the most frequent being:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Communications
  • IEEE Access
  • IEEE Open Journal of the Communications Society

Best Publications

  • Parametric localization of distributed sources

    S. Valaee;B. Champagne;P. Kabal

  • Secrecy-Energy Efficient Hybrid Beamforming for Satellite-Terrestrial Integrated Networks

    Zhi Lin;Min Lin;Benoit Champagne;Wei-Ping Zhu

  • Relay-Selection Improves the Security-Reliability Trade-Off in Cognitive Radio Systems

    Yulong Zou;Benoit Champagne;Wei-Ping Zhu;Lajos Hanzo

  • Performance of time-delay estimation in the presence of room reverberation

    B. Champagne;S. Bedard;A. Stephenne

  • The computer calculation of Lie point symmetries of large systems of differential equations

    B. Champagne;W. Hereman;P. Winternitz

  • Incorporating the human hearing properties in the signal subspace approach for speech enhancement

    F. Jabloun;B. Champagne

  • Recursive least squares constant modulus algorithm for blind adaptive array

    Yuxin Chen;T. Le-Ngoc;B. Champagne;Changjiang Xu

  • Secure and Energy Efficient Transmission for RSMA-Based Cognitive Satellite-Terrestrial Networks

    Zhi Lin;Min Lin;Benoit Champagne;Wei-Ping Zhu

  • Joint Parameter and Time-Delay Estimation for a Class of Nonlinear Time-Series Models

    Unknown

  • Adaptive eigendecomposition of data covariance matrices based on first-order perturbations

    B. Champagne

  • Localization of wideband signals using least-squares and total least-squares approaches

    S. Valaee;B. Champagne;P. Kabal

  • On the infinite‐dimensional symmetry group of the Davey–Stewartson equations

    B. Champagne;P. Winternitz

  • Padded Coprime Arrays for Improved DOA Estimation: Exploiting Hole Representation and Filling Strategies

    Wang Zheng;Xiaofei Zhang;Yunfei Wang;Jinqing Shen

  • Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition.

    Arya Aftab;Alireza Morsali;Shahrokh Ghaemmaghami;Benoit Champagne

  • Secure Beamforming for Cognitive Satellite Terrestrial Networks With Unknown Eavesdroppers

    Zhi Lin;Min Lin;Benoit Champagne;Wei-Ping Zhu

  • Robust Joint Hybrid Transceiver Design for Millimeter Wave Full-Duplex MIMO Relay Systems

    Yunlong Cai;Ying Xu;Qingjiang Shi;Benoit Champagne

  • Subspace-Based Blind Channel Estimation for MIMO-OFDM Systems With Reduced Time Averaging

    Chao-Cheng Tu;B. Champagne

  • A new cepstral prefiltering technique for estimating time delay under reverberant conditions

    Alex Stéphenne;Benoît Champagne

  • Recent Developments in Speech Enhancement in the Short-Time Fourier Transform Domain

    Mahdi Parchami;Wei-Ping Zhu;Benoit Champagne;Eric Plourde

  • Plane rotation-based EVD updating schemes for efficient subspace tracking

    B. Champagne;Qing-Guang Liu

  • Adaptive Reduced-Rank Receive Processing Based on Minimum Symbol-Error-Rate Criterion for Large-Scale Multiple-Antenna Systems

    Yunlong Cai;Rodrigo C. de Lamare;Benoit Champagne;Boya Qin

  • Cepstral prefiltering for time delay estimation in reverberant environments

    A. Stephenne;B. Champagne

Frequent Co-Authors

Yunlong Cai
Yunlong Cai Zhejiang University
Wei-Ping Zhu
Wei-Ping Zhu Concordia University
Lajos Hanzo
Lajos Hanzo University of Southampton
Qingjiang Shi
Qingjiang Shi Tongji University
Benoit Pelletier
Benoit Pelletier InterDigital (United States)
Shahrokh Valaee
Shahrokh Valaee University of Toronto
Yulong Zou
Yulong Zou Nanjing University of Posts and Telecommunications
Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Min Lin
Min Lin Nanjing University of Posts and Telecommunications
Naofal Al-Dhahir
Naofal Al-Dhahir The University of Texas at Dallas

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