World's Best Scientists 2026 revealed!
Alexander Bertrand

Alexander Bertrand

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5041
World Ranking
4976
National Ranking
108

Computer Science

D-Index
38
Citations
5156
World Ranking
10357
National Ranking
99

Alexander Bertrand 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 Alexander Bertrand 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: 156 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Alexander Bertrand 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 Alexander Bertrand 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Alexander Bertrand is affiliated with KU Leuven in Belgium. Their research spans multiple disciplines, with primary fields of study including Computer Science, Neuroscience, and Engineering.

Their work extensively covers subfields such as Cognitive Neuroscience, Signal Processing, Electrical and Electronic Engineering, Computer Networks and Communications, and Artificial Intelligence. Key topics in their research are EEG and Brain-Computer Interfaces, Blind Source Separation Techniques, Neural Dynamics and Brain Function, Advanced Memory and Neural Computing, Distributed Sensor Networks and Detection Algorithms, Indoor and Outdoor Localization Technologies, and Hearing Loss and Rehabilitation.

Frequent publication venues for their work include arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Signal Processing, Journal of Neural Engineering, and IEEE Journal of Biomedical and Health Informatics.

Alexander Bertrand has collaborated frequently with several coauthors, notably:

  • Simon Geirnaert
  • Tom Francart
  • Nicolas Heintz
  • Charles Hovine
  • Maarten De Vos

Among their recent papers are:

  • EEG-based detection of the locus of auditory attention with convolutional neural networks, 2021, eLife
  • Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns, 2020, IEEE Transactions on Biomedical Engineering
  • Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation, 2021, IEEE Transactions on Signal Processing
  • Effect of number and placement of EEG electrodes on measurement of neural tracking of speech, 2021, PLoS ONE
  • Linear versus deep learning methods for noisy speech separation for EEG-informed attention decoding, 2020, Journal of Neural Engineering

Best Publications

  • Applications and trends in wireless acoustic sensor networks: A signal processing perspective

    Alexander Bertrand

  • Auditory-Inspired Speech Envelope Extraction Methods for Improved EEG-Based Auditory Attention Detection in a Cocktail Party Scenario

    Wouter Biesmans;Neetha Das;Tom Francart;Alexander Bertrand

  • A generic EEG artifact removal algorithm based on the multi-channel Wiener filter.

    Ben Somers;Tom Francart;Alexander Bertrand

  • Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part I: Sequential Node Updating

    Alexander Bertrand;Marc Moonen

  • EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses

    Simon Van Eyndhoven;Tom Francart;Alexander Bertrand

  • EEG-based Auditory Attention Decoding: Towards Neuro-Steered Hearing Devices

    Simon Geirnaert;Servaas Vandecappelle;Emina Alickovic;Alain de Cheveigné

  • EEG-based detection of the locus of auditory attention with convolutional neural networks

    Servaas Vandecappelle;Lucas Deckers;Neetha Das;Amir Hossein Ansari

  • Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

    A. Bertrand;M. Moonen;A. H. Sayed

  • EEG-based auditory attention detection: boundary conditions for background noise and speaker positions.

    Neetha Das;Alexander Bertrand;Tom Francart

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

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

  • Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part II: Simultaneous and Asynchronous Node Updating

    Alexander Bertrand;Marc Moonen

  • Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology

    A Bertrand;M Moonen

  • Robust distributed noise reduction in hearing aids with external acoustic sensor nodes

    Alexander Bertrand;Marc Moonen

  • Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks

    A Bertrand;M Moonen

  • Distributed Signal Processing for Wireless EEG Sensor Networks

    Alexander Bertrand

  • The effect of head-related filtering and ear-specific decoding bias on auditory attention detection.

    Neetha Das;Wouter Biesmans;Alexander Bertrand;Tom Francart

  • Distributed Node-Specific LCMV Beamforming in Wireless Sensor Networks

    A. Bertrand;M. Moonen

  • Seeing the Bigger Picture: How Nodes Can Learn Their Place Within a Complex Ad Hoc Network Topology

    A. Bertrand;M. Moonen

  • Distributed adaptive estimation of covariance matrix eigenvectors in wireless sensor networks with application to distributed PCA

    Alexander Bertrand;Marc Moonen

  • Distributed computation of the Fiedler vector with application to topology inference in ad hoc networks

    Alexander Bertrand;Marc Moonen

  • Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices

    Simon Geirnaert;Servaas Vandecappelle;Emina Alickovic;Alain de Cheveigne

  • Applications and trends in wireless acoustic sensor networks : a signal processing perspectives

    Alexander Bertrand

Frequent Co-Authors

Marc Moonen
Marc Moonen KU Leuven
Ingrid Moerman
Ingrid Moerman Ghent University
Sharon Gannot
Sharon Gannot Bar-Ilan University
Jan Wouters
Jan Wouters KU Leuven
Bart Nuttin
Bart Nuttin KU Leuven
Michel M. Maharbiz
Michel M. Maharbiz University of California, Berkeley
Elad Alon
Elad Alon University of California, Berkeley
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley

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