World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10554
World Ranking
7101
National Ranking
92

Justin Dauwels 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 Justin Dauwels 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Justin Dauwels 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 Justin Dauwels 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Justin Dauwels is affiliated with Nanyang Technological University in Singapore. Their research spans multiple domains, primarily within computer science and engineering, with a significant focus on cognitive neuroscience and artificial intelligence.

The scientist's work covers diverse subfields including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Psychiatry and Mental Health
  • Automotive Engineering

Key research topics explored by Justin Dauwels include:

  • EEG and Brain-Computer Interfaces
  • Epilepsy Research and Treatment
  • Autonomous Vehicle Technology and Safety
  • Blind Source Separation Techniques
  • Transportation and Mobility Innovations
  • Neuroscience and Neural Engineering
  • Functional Brain Connectivity Studies

Some of the recent and notable publications authored or co-authored by Justin Dauwels are:

  • Carbon footprinting of universities worldwide: Part I-objective comparison by standardized metrics, 2021, Environmental Sciences Europe
  • Sensing and Machine Learning for Automotive Perception: A Review, 2023, IEEE Sensors Journal
  • Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks, 2020, International Journal of Neural Systems
  • Diagnostic classification of autism using resting-state fMRI data improves with full correlation functional brain connectivity compared to partial correlation, 2020, Journal of Neuroscience Methods
  • Automated Adult Epilepsy Diagnostic Tool Based on Interictal Scalp Electroencephalogram Characteristics: A Six-Center Study, 2021, International Journal of Neural Systems

Justin Dauwels frequently publishes in various academic venues, including:

  • arXiv (Cornell University)
  • International Journal of Neural Systems
  • IEEE Transactions on Intelligent Transportation Systems
  • Journal of Neuroscience Methods
  • IEEE Sensors Journal

The scientist also collaborates often with several coauthors, such as:

  • John Thomas
  • Wei Yan Peh
  • Cristian Meo
  • Prasanth Thangavel
  • Rahul Rathakrishnan

Best Publications

  • Steady-state visually evoked potentials: focus on essential paradigms and future perspectives.

    François-Benoît Vialatte;Monique Maurice;Justin Dauwels;Andrzej Cichocki

  • The Factor Graph Approach to Model-Based Signal Processing

    H.-A. Loeliger;J. Dauwels;Junli Hu;S. Korl

  • Diagnosis of Alzheimer's disease from EEG signals: where are we standing?

    Justin Dauwels;Francois Vialatte;Andrzej Cichocki

  • A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG.

    Justin Dauwels;François-Benoît Vialatte;Toshimitsu Musha;Andrzej Cichocki

  • Innovative diagnostic tools for early detection of Alzheimer's disease

    Christoph Laske;Christoph Laske;Hamid R. Sohrabi;Hamid R. Sohrabi;Shaun M. Frost;Karmele López-de-Ipiña

  • Online map-matching based on Hidden Markov model for real-time traffic sensing applications

    C.Y. Goh;J. Dauwels;N. Mitrovic;M. T. Asif

  • Predicting neurosurgical outcomes in focal epilepsy patients using computational modelling.

    Nishant Sinha;Justin Dauwels;Marcus Kaiser;Sydney S. Cash

  • Slowing and Loss of Complexity in Alzheimer's EEG: Two Sides of the Same Coin?

    Justin Dauwels;K. Srinivasan;M. Ramasubba Reddy;Toshimitsu Musha

  • Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

    Muhammad Tayyab Asif;Justin Dauwels;Chong Yang Goh;Ali Oran

  • On Variational Message Passing on Factor Graphs

    J. Dauwels

  • Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks

    Muhammad Tayyab Asif;Nikola Mitrovic;Justin Dauwels;Patrick Jaillet

  • Action-Stage Emphasized Spatiotemporal VLAD for Video Action Recognition

    Zhigang Tu;Hongyan Li;Dejun Zhang;Justin Dauwels

  • Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation

    Jin Jing;Jin Jing;Haoqi Sun;Jennifer A Kim;Aline Herlopian

  • Phase estimation by message passing

    J. Dauwels;H.-A. Loeliger

  • Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms.

    Jin Jing;Jin Jing;Aline Herlopian;Aline Herlopian;Ioannis Karakis;Marcus Ng

  • Epileptiform spike detection via convolutional neural networks

    Alexander Rosenberg Johansen;Jing Jin;Tomasz Maszczyk;Justin Dauwels

  • A computational study of stimulus driven epileptic seizure abatement.

    Peter Neal Taylor;Yujiang Wang;Marc Goodfellow;Justin Dauwels

  • Semantic Cues Enhanced Multimodality Multistream CNN for Action Recognition

    Zhigang Tu;Wei Xie;Justin Dauwels;Baoxin Li

  • Deep learning-based classification for brain-computer interfaces

    John Thomas;Tomasz Maszczyk;Nishant Sinha;Tilmann Kluge

  • Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach

    K. Srinivasan;J. Dauwels;M. R. Reddy

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Sydney S. Cash
Sydney S. Cash Harvard University
M. Brandon Westover
M. Brandon Westover Harvard University
Abhisek Ukil
Abhisek Ukil University of Auckland
Sylvain Barbot
Sylvain Barbot University of Southern California
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Rohit Srivastava
Rohit Srivastava Indian Institute of Technology Bombay

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