World's Best Scientists 2026 revealed!
Sabine Van Huffel

Sabine Van Huffel

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Computer Science
Belgium
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
34811
World Ranking
606
National Ranking
6

Sabine Van Huffel 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 Sabine Van Huffel 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: 938 publications — 99th percentile

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

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

Sabine Van Huffel 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 Sabine Van Huffel 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: 90 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Belgium Leader Award
  • 2025 - Research.com Computer Science in Belgium Leader Award
  • 2022 - Research.com Computer Science in Belgium Leader Award
  • 2016 - SIAM Fellow For bridging the gap between advanced numerical linear algebra techniques and biomedical signal processing.
  • 2009 - IEEE Fellow For contributions to total least squares fitting and computational biosignal processing

Overview

Sabine Van Huffel is affiliated with KU Leuven in Belgium and has developed a significant body of research primarily in the fields of Medicine and Neuroscience. Their work spans multiple specialized subfields, including Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, and Biomedical Engineering.

The research topics covered by Van Huffel include EEG and Brain-Computer Interfaces, Neonatal and fetal brain pathology, Non-Invasive Vital Sign Monitoring, Heart Rate Variability and Autonomic Control, ECG Monitoring and Analysis, Cardiac electrophysiology and arrhythmias, and Obstructive Sleep Apnea Research.

Among their recent papers are:

  • Visual seizure annotation and automated seizure detection using behind-the-ear electroencephalographic channels, 2020, Epilepsia
  • Artificial Intelligence Based Patient-Specific Preoperative Planning Algorithm for Total Knee Arthroplasty, 2022, Frontiers in Robotics and AI
  • The power of ECG in multimodal patient-specific seizure monitoring: Added value to an EEG-based detector using limited channels, 2021, Epilepsia
  • Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation, 2020, Sensors
  • icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions, 2021, NeuroImage Clinical

Van Huffel has frequently published in venues such as Computing in cardiology, Sensors, Physiological Measurement, arXiv (Cornell University), and Frontiers in Physiology.

The scientist has collaborated regularly with other researchers, including Carolina Varon, Gunnar Naulaers, Jonathan Moeyersons, Bertien Buyse, and Dries Testelmans.

Van Huffel was recognized as an SIAM Fellow in 2016 for contributions to bridging numerical linear algebra techniques and biomedical signal processing. Earlier, in 2009, they were named an IEEE Fellow for their work in total least squares fitting and computational biosignal processing.

Best Publications

  • The Total Least Squares Problem: Computational Aspects and Analysis

    Sabine Van Huffel;Joos Vandewalle

  • Improved Method for Accurate and Efficient Quantification of MRS Data with Use of Prior Knowledge

    Leentje Vanhamme;Aad van den Boogaart;Sabine Van Huffel

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Overview of total least-squares methods

    Ivan Markovsky;Sabine Van Huffel

  • Review on solving the forward problem in EEG source analysis

    Hans Hallez;Bart Vanrumste;Bart Vanrumste;Roberta Grech;Joseph Muscat

  • Canonical Correlation Analysis Applied to Remove Muscle Artifacts From the Electroencephalogram

    Wim De Clercq;A. Vergult;B. Vanrumste;W. Van Paesschen

  • Logistic Regression Model to Distinguish Between the Benign and Malignant Adnexal Mass Before Surgery: A Multicenter Study by the International Ovarian Tumor Analysis Group

    Dirk Timmerman;Antonia Carla Testa;Tom Bourne;Enrico Ferrazzi

  • Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group

    Dirk Timmerman;Lieveke Ameye;Daniela Fischerova;Elisabeth Epstein

  • Source Separation From Single-Channel Recordings by Combining Empirical-Mode Decomposition and Independent Component Analysis

    Bogdan Mijović;M De Vos;I Gligorijević;J Taelman

  • The total least squares problem

    Sabine Van Huffel;H Zha

  • Triple-negative breast cancer: Present challenges and new perspectives

    Franca Podo;Lutgarde M.C. Buydens;Hadassa Degani;Riet Hilhorst

  • Total Least Squares and Errors-in-Variables Modeling : Analysis, Algorithms and Applications

    Sabine Huffel;Philippe Lemmerling

  • A tutorial on support vector machine-based methods for classification problems in chemometrics.

    Jan Luts;Fabian Ojeda;Raf Van de Plas;Bart De Moor

  • SLICOT—A Subroutine Library in Systems and Control Theory

    Peter Benner;Peter Benner;Volker Mehrmann;Vasile Sima;Sabine Van Huffel

  • A Novel Algorithm for the Automatic Detection of Sleep Apnea From Single-Lead ECG

    Carolina Varon;Alexander Caicedo;Dries Testelmans;Bertien Buyse

  • MR spectroscopy quantitation: a review of time‐domain methods

    Leentie Vanhamme;Tomas Sundin;Paul Van Hecke;Sabine Van Huffel

  • Automatic Removal of Ocular Artifacts in the EEG without an EOG Reference Channel

    German Gomez-Herrero;Wim Clercq;Haroon Anwar;Olga Kara

  • Analysis and properties of the generalized total least squares problem AX≈B when some or all columns in A are subject to error

    Sabine van Huffel;Joos Vandewalle

  • Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images

    Saurabh Jain;Diana M. Sima;Annemie Ribbens;Melissa Cambron

  • Brain tumor classification based on long echo proton MRS signals

    L. Lukas;A. Devos;J. A. K. Suykens;L. Vanhamme

  • Classification of brain tumours using short echo time 1H MR spectra.

    A. Devos;L. Lukas;J.A.K. Suykens;L. Vanhamme

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