World's Best Scientists 2026 revealed!
Alexander Bertrand

Alexander Bertrand

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 38 4976 4777 108 104 156 5041
Computer Science 38 10357 10066 99 94 163 5156

Alexander Bertrand publications per year

The chart shows the history of publications by Alexander Bertrand between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alexander Bertrand published across 19 years, from 2007 to 2025, averaging 13.3 papers a year. Output peaked at 28 publications in 2025. 53 of the 253 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2025. 2007: 1 publication 2008: 1 publication 2009: 3 publications 2010: 6 publications 2011: 10 publications 2012: 11 publications 2013: 12 publications 2014: 6 publications 2015: 14 publications 2016: 17 publications 2017: 17 publications 2018: 8 publications 2019: 6 publications 2020: 18 publications 2021: 25 publications 2022: 25 publications 2023: 20 publications 2024: 25 publications 2025: 28 publications
2007 2025

253 publications in total across all disciplines

View publications per year as a table
Alexander Bertrand: publications per year, 2007 to 2025
Year Publications
2007 1
2008 1
2009 3
2010 6
2011 10
2012 11
2013 12
2014 6
2015 14
2016 17
2017 17
2018 8
2019 6
2020 18
2021 25
2022 25
2023 20
2024 25
2025 28
Total 253
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 154–173 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403 156
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 38 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214 38
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Electronics and Electrical Engineering often opens the door to diverse career options. Many professionals enhance their skills with specialized programs such as a bachelor's degree in project management, which is ideal for engineers aiming to lead technical teams and manage complex projects effectively.

For those balancing work and study, accelerated online degree programs for working adults provide flexible pathways to earn advanced qualifications without compromising professional responsibilities. This approach helps students progress rapidly while applying new knowledge practically.

Instructional skills are also valuable, with options like the best online instructional design master's programs supporting engineers who want to transition into training or educational roles within technical fields.

Moreover, competency-based learning is reshaping education by allowing students to advance based on skills rather than time spent, making competency-based online colleges a valuable option for engineering professionals seeking flexible and personalized degree experiences.

Best Scientists Citing Alexander Bertrand

Trending Scientists

Recently Published Articles