World's Best Scientists 2026 revealed!
Michael S. Brown

Michael S. Brown

D-Index & Metrics

Computer Science

D-Index
63
Citations
16096
World Ranking
2755
National Ranking
103

Michael S. Brown 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 Michael S. Brown 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: 213 publications — 51st percentile

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

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

Michael S. Brown 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 Michael S. Brown 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Michael S. Brown is affiliated with York University in Canada, focusing primarily on computer science, with significant contributions to computer vision and pattern recognition. Their research spans advanced imaging, image processing, and color science.

The scientist has coauthored frequently with several colleagues, including Marcus A. Brubaker, Abdelrahman Abdelhamed, Mahmoud Afifi, Abhijith Punnappurath, and Radu Timofte. These collaborations have contributed to various research outputs in the field.

Michael S. Brown's recent publications include the following papers:

  • NTIRE 2022 Challenge on Night Photography Rendering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Day-to-Night Image Synthesis for Training Nighttime Neural ISPs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Modeling sRGB Camera Noise with Normalizing Flows, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • AIM 2020: Scene Relighting and Illumination Estimation Challenge, 2020, arXiv (Cornell University)

The scientist has published extensively in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Color and Imaging Conference
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

The main fields of study for Michael S. Brown lie in computer science, with a focus on the following subfields:

  • Computer Vision and Pattern Recognition
  • Surgery
  • Atomic and Molecular Physics, and Optics
  • Media Technology
  • Electrical and Electronic Engineering

The primary topics covered by their research include:

  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Color Science and Applications
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • CCD and CMOS Imaging Sensors

Best Publications

  • Rain Streak Removal Using Layer Priors

    Yu Li;Robby T. Tan;Xiaojie Guo;Jiangbo Lu

  • A High-Quality Denoising Dataset for Smartphone Cameras

    Abdelrahman Abdelhamed;Stephen Lin;Michael S. Brown

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Unknown

  • High quality depth map upsampling for 3D-TOF cameras

    Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Julio Zaragoza;Tat-Jun Chin;Quoc-Huy Tran;Michael S. Brown

  • Multi-projector displays using camera-based registration

    R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen

  • Super resolution using edge prior and single image detail synthesis

    Yu-Wing Tai;Shuaicheng Liu;Michael S. Brown;Stephen Lin

  • Multi-projector displays using camera-based registration

    Unknown

  • Single Image Layer Separation Using Relative Smoothness

    Yu Li;Michael S. Brown

  • Constructing image panoramas using dual-homography warping

    Junhong Gao;Seon Joo Kim;Michael S. Brown

  • Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

    Yu-Wing Tai;Ping Tan;M. S. Brown

  • Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution

    Dongliang Cheng;Dilip K Prasad;Michael S Brown

  • Camera-based calibration techniques for seamless multiprojector displays

    M. Brown;A. Majumder;R. Yang

  • PixelFlex: a reconfigurable multi-projector display system

    Ruigang Yang;David Gotz;Justin Hensley;Herman Towles

  • Nighttime Haze Removal with Glow and Multiple Light Colors

    Yu Li;Robby T. Tan;Michael S. Brown

  • Product data integration in B2B e-commerce

    D. Fensel;Ying Ding;B. Omelayenko;E. Schulten

  • Training-Based Spectral Reconstruction from a Single RGB Image

    Rang M. H. Nguyen;Dilip K. Prasad;Michael S. Brown

  • Exploiting Reflection Change for Automatic Reflection Removal

    Yu Li;Michael S. Brown

  • Image restoration of arbitrarily warped documents

    M.S. Brown;W.B. Seales

  • A New In-Camera Imaging Model for Color Computer Vision and Its Application

    Seon Joo Kim;Hai Ting Lin;Zheng Lu;Sabine Süsstrunk

  • Image/video deblurring using a hybrid camera

    Yu-Wing Tai;Hao Du;M.S. Brown;S. Lin

  • Globally Optimized Linear Windowed Tone Mapping

    Qi Shan;Jiaya Jia;Michael S Brown

Frequent Co-Authors

Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Seon Joo Kim
Seon Joo Kim Yonsei University
James R. Gord
James R. Gord United States Air Force Research Laboratory
Ruigang Yang
Ruigang Yang University of Kentucky
Robert P. Lucht
Robert P. Lucht Purdue University West Lafayette
Brian Price
Brian Price Adobe Systems (United States)
Scott Cohen
Scott Cohen Adobe Systems (United States)
Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
Robby T. Tan
Robby T. Tan National University of Singapore
Stephen Lin
Stephen Lin Microsoft Research Asia (China)

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