World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9639
World Ranking
7132
National Ranking
3125

Mark D. Fairchild 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 D. Fairchild 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Mark D. Fairchild 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 D. Fairchild 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.

Research.com Recognitions

  • 2012 - OSA Fellows For significant research and the education of numerous scientists and engineers in the fields of color science and imaging science.

Overview

Mark D. Fairchild is affiliated with the Rochester Institute of Technology in the United States. Their research primarily focuses on areas intersecting physics, psychology, and neuroscience, with significant contributions in the field of color science and applications.

The scientist's main fields of study include:

  • Physics and Astronomy
  • Psychology
  • Neuroscience

Their research extends into more specific subfields such as:

  • Atomic and Molecular Physics, and Optics
  • Social Psychology
  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Major topics addressed in their work encompass:

  • Color Science and Applications
  • Color perception and design
  • Visual perception and processing mechanisms
  • Computer Graphics and Visualization Techniques
  • Melanin and skin pigmentation
  • Infrared Target Detection Methodologies
  • Industrial Vision Systems and Defect Detection

The scientist's recent publications demonstrate a focus on color science and imaging. Notable papers include:

  • FLIP, 2020, published in Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • Brightness, lightness, colorfulness, and chroma in CIECAM02 and CAM16, 2022, published in Color Research & Application
  • Extending CIECAM02 and CAM16 for the Helmholtz-Kohlrausch effect, 2022, published in Color Research & Application
  • Categorical observers for metamerism, 2020, published in Color Research & Application
  • Colour metrics for image edge detection, 2020, published in Color Research & Application

Publication venues frequently featuring the scientist's work include:

  • Color Research & Application
  • Color and Imaging Conference
  • Journal of Imaging Science and Technology
  • The Visual Computer
  • Optics Express

Frequent collaborators in their research are:

  • Luke Hellwig
  • Dale Stolitzka
  • Hao Xie
  • Che Shen
  • Saeedeh Abasi

Mark D. Fairchild was recognized as an OSA Fellow in 2012 for contributions to research and education in color science and imaging science.

Best Publications

  • The CIECAM02 color appearance model

    Nathan Moroney;Mark D. Fairchild;Robert W. G. Hunt;Changjun Li

  • A multiscale model of adaptation and spatial vision for realistic image display

    Sumanta N. Pattanaik;James A. Ferwerda;Mark D. Fairchild;Donald P. Greenberg

  • iCAM06: A refined image appearance model for HDR image rendering

    Jiangtao Kuang;Garrett M. Johnson;Mark D. Fairchild

  • A top down description of S-CIELAB and CIEDE2000

    Garrett M. Johnson;Mark D. Fairchild

  • Time course of chromatic adaptation for color-appearance judgments.

    Mark D. Fairchild;Lisa Reniff

  • iCAM framework for image appearance, differences, and quality

    Mark D. Fairchild;Garrett M. Johnson

  • Development and Testing of a Color Space (IPT) with Improved Hue Uniformity.

    Fritz Ebner;Mark D. Fairchild

  • Image color-appearance specification through extension of CIELAB

    Mark D. Fairchild;Roy S. Berns

  • The HDR Photographic Survey.

    Mark D. Fairchild

  • Evaluating HDR rendering algorithms

    Jiangtao Kuang;Hiroshi Yamaguchi;Changmeng Liu;Garrett M. Johnson

  • Precision requirements for digital color reproduction

    Mike Stokes;Mark D. Fairchild;Roy S. Berns

  • Meet iCAM: A Next-Generation Color Appearance Model

    Mark D. Fairchild;Garrett M. Johnson

  • Image lightness rescaling using sigmoidal contrast enhancement functions

    Gustav J. Braun;Mark D. Fairchild

  • FLIP: A Difference Evaluator for Alternating Images

    Pontus Andersson;Jim Nilsson;Tomas Akenine-Möller;Magnus Oskarsson

  • Chromatic adaptation to natural and incandescent illuminants.

    Mark D. Fairchild;Peter Lennie

  • Testing HDR image rendering algorithms

    Jiangtao Kuang;Hiroshi Yamaguchi;Garrett M. Johnson;Mark D. Fairchild

  • Rendering HDR images

    Garrett M. Johnson;Mark D. Fairchild

  • A Revision of CIECAM97s for Practical Applications

    Mark D. Fairchild

  • Refinement of the RLAB Color Space

    Mark D. Fairchild

  • Full-spectral color calculations in realistic image synthesis

    G.M. Johnson;M.D. Fairchild

  • Viewing techniques for cross‐media image comparisons

    Karen M. Braun;Mark D. Fairchild;Paula J. Alessi

Frequent Co-Authors

Andrew J. Elliot
Andrew J. Elliot University of Rochester
Anna Franklin
Anna Franklin University of Sussex
Roy S. Berns
Roy S. Berns Rochester Institute of Technology
Donald P. Greenberg
Donald P. Greenberg Cornell University
Peter Lennie
Peter Lennie University of Rochester
M. Ronnier Luo
M. Ronnier Luo Zhejiang University
Charles Spence
Charles Spence University of Oxford
Jamie Ward
Jamie Ward University of Sussex
Marc H. Bornstein
Marc H. Bornstein National Institutes of Health
Stephen E. Palmer
Stephen E. Palmer University of California, Berkeley

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees in Computer Science opens up many flexible career options. For those seeking a faster route into the workforce, consider quick degrees that pay well. These programs allow students to gain valuable skills and enter high-demand tech fields more rapidly than traditional paths.

Artificial intelligence is another thriving area in computer science. A growing number of accredited schools now offer degrees in ai online, helping students develop expertise critical for the future job market.

It's important to choose a program that aligns with your long-term goals. Reviewing the best college degrees for the future can help guide your decision, ensuring you invest in a field with strong growth and earning potential.

Lastly, if you want to further your education after your bachelor’s, some may want to know what is the easiest masters degree to get in the tech sector. Exploring these options can help you choose a study path that matches your abilities and ambitions.

Best Scientists Citing Mark D. Fairchild

Trending Scientists

Recently Published Articles