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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
20617
World Ranking
1425
National Ranking
48

Rabab K. Ward 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 Rabab K. Ward 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 567 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Rabab K. Ward 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 Rabab K. Ward sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 75 D-Index — 90th percentile

90% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2020 - Member of the National Academy of Engineering For innovative applications of signal processing to industrial and bioengineering problems.
  • 1999 - Fellow of the Royal Society of Canada Academy of Science
  • 1999 - IEEE Fellow For contributions to digital signal processing applications in television and medical imaging.
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Rabab K. Ward is affiliated with the University of British Columbia in Canada and has made contributions across various domains, primarily focusing on computer science. Their research spans several subfields, with substantial work in computer vision and pattern recognition, artificial intelligence, cardiology and cardiovascular medicine, biomedical engineering, and cognitive neuroscience.

The scientist's recent publications cover diverse topics including medical monitoring, deep learning, and neural network applications. Notable papers include:

  • Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring, 2020, Journal of Clinical Medicine
  • The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective, 2021, Frontiers in Medicine
  • Multi-view 3D Reconstruction with Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease, 2021, Journal of Neuroscience Methods
  • Semi-dilated convolutional neural networks for epileptic seizure prediction, 2021, Neural Networks

Frequent co-authors in their collaborations include:

  • Thomas Coughlin
  • Sergio Benedetto
  • Forrest Wright
  • Saifur Rahman
  • Jill Gostin

The scientist's contributions have been published in a range of venues, especially those related to engineering and technology, such as:

  • IEEE Transactions on Power Electronics
  • IEEE Photonics Technology Letters
  • arXiv (Cornell University)
  • IEEE Aerospace and Electronic Systems Magazine
  • IEEE Transactions on Human-Machine Systems

Main areas of study for Rabab K. Ward encompass computer science with a strong focus on topics including:

  • Non-Invasive Vital Sign Monitoring
  • EEG and Brain-Computer Interfaces
  • Heart Rate Variability and Autonomic Control
  • Human Pose and Action Recognition
  • Hemodynamic Monitoring and Therapy
  • ECG Monitoring and Analysis
  • COVID-19 diagnosis using AI

Throughout their career, Rabab K. Ward has received recognition from professional societies. Awards include being named a Member of the National Academy of Engineering in 2020 for contributions involving signal processing in industrial and bioengineering applications.

Additional honors comprise election as a Fellow of the Royal Society of Canada and IEEE Fellow status, both awarded in 1999, recognizing contributions to digital signal processing in television and medical imaging. The scientist is also affiliated with the Canadian Academy of Engineering.

Best Publications

  • A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals.

    Ali Bashashati;Mehrdad Fatourechi;Rabab K Ward;Gary E Birch;Gary E Birch

  • Deep sentence embedding using long short-term memory networks: analysis and application to information retrieval

    Hamid Palangi;Li Deng;Yelong Shen;Jianfeng Gao

  • Image Fusion With Convolutional Sparse Representation

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • EMG and EOG artifacts in brain computer interface systems: A survey

    Mehrdad Fatourechi;Ali Bashashati;Rabab K. Ward;Gary E. Birch;Gary E. Birch

  • Deep learning for pixel-level image fusion: Recent advances and future prospects

    Yu Liu;Xun Chen;Xun Chen;Zengfu Wang;Z. Jane Wang

  • Fast Image/Video Contrast Enhancement Based on Weighted Thresholded Histogram Equalization

    Qing Wang;R.K. Ward

  • The use of photoplethysmography for assessing hypertension

    Mohamed Elgendi;Richard Fletcher;Yongbo Liang;Newton Howard

  • Learning Sparse Representations for Human Action Recognition

    T. Guha;R. K. Ward

  • Telomere length measurements using digital fluorescence microscopy

    Steven S.S. Poon;Uwe M. Martens;Rabab K. Ward;Peter M. Lansdorp;Peter M. Lansdorp

  • Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis

    Yu Liu;Xun Chen;Rabab K. Ward;Z. Jane Wang

  • Removing the blocking artifacts of block-based DCT compressed images

    Ying Luo;R.K. Ward

  • Wavelet-based illumination normalization for face recognition

    Shan Du;R. Ward

  • Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals.

    Ramy Hussein;Hamid Palangi;Rabab K. Ward;Z. Jane Wang

  • A New Orientation-Adaptive Interpolation Method

    Qing Wang;R.K. Ward

  • An optimal filter for short photoplethysmogram signals

    Yongbo Liang;Mohamed Elgendi;Zhencheng Chen;Rabab Ward

  • A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting

    M M Esmaeili;M Fatourechi;R K Ward

  • Video-Based Heart Rate Measurement: Recent Advances and Future Prospects

    Xun Chen;Juan Cheng;Rencheng Song;Yu Liu

  • Optimizing a Tone Curve for Backward-Compatible High Dynamic Range Image and Video Compression

    Zicong Mai;H Mansour;R Mantiuk;P Nasiopoulos

  • A rotation invariant rule-based thinning algorithm for character recognition

    M. Ahmed;R. Ward

  • Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning

    K. Ersahin;I.G. Cumming;R.K. Ward

  • Predictive RD optimized motion estimation for very low bit-rate video coding

    F. Kossentini;Yuen-Wen Lee;M.J.T. Smith;R.K. Ward

Frequent Co-Authors

Angshul Majumdar
Angshul Majumdar Indraprastha Institute of Information Technology Delhi
Z. Jane Wang
Z. Jane Wang University of British Columbia
Faouzi Kossentini
Faouzi Kossentini Intel (United States)
Li Deng
Li Deng Citadel
Xun Chen
Xun Chen University of Science and Technology of China
Peter M. Lansdorp
Peter M. Lansdorp University of British Columbia
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey
Amr Mohamed
Amr Mohamed Qatar University
Sergios Theodoridis
Sergios Theodoridis National and Kapodistrian University of Athens
Derek Abbott
Derek Abbott University of Adelaide

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