World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
9132
World Ranking
9146
National Ranking
363

Mark S. Drew 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 Mark S. Drew 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: 192 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Mark S. Drew 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 Mark S. Drew 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Mark S. Drew is affiliated with Simon Fraser University in Canada. Their research contributions span multiple fields, predominantly in Computer Science with additional work in Physics and Astronomy and Engineering.

The scientist's main fields of study include:

  • Computer Science
  • Physics and Astronomy
  • Engineering

Within these fields, their subfields of expertise cover:

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Sociology and Political Science
  • Artificial Intelligence

Mark S. Drew's research topics are diverse, with a strong focus on multimedia and imaging technologies. Their main topics of work include:

  • Advanced Data Compression Techniques
  • Caching and Content Delivery
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Multimedia Communication and Technology
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques

The scientist's recent publications illustrate their cross-disciplinary interests. Notable papers are:

  • 'Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images', 2020, published in arXiv (Cornell University)
  • 'More Crop per Drop' and water use efficiency in the National Water Policy of Pakistan, 2023, Agricultural Water Management
  • New Estimates of the Spin and Accretion Rate of the Black Hole M87*, 2025, The Astrophysical Journal Letters
  • October 2022, 2022, Australian Journal of Emergency Management

Among the frequent coauthors working with Mark S. Drew are:

  • Ze-Nian Li
  • Jiangchuan Liu
  • Kumar Abhishek
  • Ghassan Hamarneh
  • Sorour Mohajerani

The scientist's works appear in a variety of publication venues, reflecting the interdisciplinary nature of their research:

  • arXiv (Cornell University)
  • The Astrophysical Journal Letters
  • Agricultural Water Management
  • Australian Journal of Emergency Management
  • London Imaging Meeting

Mark S. Drew has also contributed to academic literature through a book published by Springer International Publishing:

  • Fundamentals of Multimedia, 2021

Best Publications

  • On the removal of shadows from images

    G.D. Finlayson;S.D. Hordley;Cheng Lu;M.S. Drew

  • Removing Shadows from Images

    Graham D. Finlayson;Steven D. Hordley;Mark S. Drew

  • Fundamentals of multimedia

    Ze-Nian Li;Mark S. Drew;Jiangchuan Liu

  • Spectral sharpening: sensor transformations for improved color constancy

    Graham D. Finlayson;Mark S. Drew;Brian V. Funt

  • Color image processing pipeline

    R. Ramanath;W.E. Snyder;Y. Yoo;M.S. Drew

  • Intrinsic Images by Entropy Minimization

    Graham D. Finlayson;Mark S. Drew;Cheng Lu

  • Entropy Minimization for Shadow Removal

    Graham D. Finlayson;Mark S. Drew;Cheng Lu

  • Color constancy - Generalized diagonal transforms suffice

    Graham D. Finlayson;Mark S. Drew;Brian V. Funt

  • Color constancy from mutual reflection

    Brian V. Funt;Mark S. Drew;Jian Ho

  • Recovering Shading from Color Images

    Brian V. Funt;Mark S. Drew;Michael Brockington

  • Unsupervised Discovery of Action Classes

    Yang Wang;Hao Jiang;M.S. Drew;Ze-Nian Li

  • Exemplar-Based Color Constancy and Multiple Illumination

    Hamid Reza Vaezi Joze;Mark S. Drew

  • Constrained least-squares regression in color spaces

    Graham D. Finlayson;Mark S. Drew

  • Diagonal transforms suffice for color constancy

    G.D. Finlayson;M.S. Drew;B.V. Funt

  • Review and Preview: Disocclusion by Inpainting for Image-Based Rendering

    Z. Tauber;Ze-Nian Li;M.S. Drew

  • Removing shadows from Images using retinex

    Graham D. Finlayson;Steven D. Hordley;Mark S. Drew

  • Color space analysis of mutual illumination

    Brian V. Funt;Mark S. Drew

  • Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images

    M.S. Drew;Jie Wei;Ze-Nian Li

  • Matching by Linear Programming and Successive Convexification

    Hao Jiang;M.S. Drew;Ze-Nian Li

  • Color constancy computation in near-Mondrian scenes using a finite dimensional linear model

    B.V. Funt;M.S. Drew

Frequent Co-Authors

Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Brian V. Funt
Brian V. Funt Simon Fraser University
Ghassan Hamarneh
Ghassan Hamarneh Simon Fraser University
Torsten Möller
Torsten Möller University of Vienna
Simone Bianco
Simone Bianco University of Milano-Bicocca
Josiane Zerubia
Josiane Zerubia French Institute for Research in Computer Science and Automation - INRIA
M. Ronnier Luo
M. Ronnier Luo Zhejiang University
Greg Mori
Greg Mori Simon Fraser University

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