World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
9770
World Ranking
6447
National Ranking
386

Rafal Mantiuk 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 Rafal Mantiuk 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Rafal Mantiuk 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 Rafal Mantiuk 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Rafal Mantiuk is affiliated with the University of Cambridge in the United Kingdom. Their research contributions are primarily situated within the field of Computer Science, with a significant focus on Computer Vision and Pattern Recognition.

The scientist has published extensively on topics related to color science, image enhancement, and visual perception. Some of the main topics covered in their work include:

  • Color Science and Applications
  • Image Enhancement Techniques
  • Visual perception and processing mechanisms
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Color perception and design

Rafal Mantiuk's publication record comprises multiple papers across notable venues, showing a consistent engagement with graphics and vision-related research. Frequent publication venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Electronic Imaging
  • Color and Imaging Conference
  • Apollo (University of Cambridge)

Among recent papers authored or co-authored by Mantiuk are:

  • FovVideoVDP, 2021, ACM Transactions on Graphics
  • Spatio-chromatic contrast sensitivity under mesopic and photopic light levels, 2020, Journal of Vision
  • stelaCSF, 2022, ACM Transactions on Graphics
  • A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution, 2020, ACM Transactions on Graphics
  • Perceptual model for adaptive local shading and refresh rate, 2021, ACM Transactions on Graphics

The scientist frequently collaborates with other researchers, with several co-authors appearing multiple times in their publication history. Notable frequent co-authors include:

  • Maliha Ashraf
  • Alexandre Chapiro
  • Param Hanji
  • Sophie Wuerger
  • Jasna Martinović

The breadth of topics and venues indicates a multidisciplinary approach that bridges areas such as atomic and molecular physics, cognitive neuroscience, and media technology alongside core computer vision tasks. This highlights the integration of perceptual models and imaging techniques with both theoretical and applied research objectives.

Best Publications

  • HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions

    Rafał Mantiuk;Kil Joong Kim;Allan G. Rempel;Wolfgang Heidrich

  • HDR image reconstruction from a single exposure using deep CNNs

    Gabriel Eilertsen;Joel Kronander;Gyorgy Denes;Rafał K. Mantiuk

  • Display adaptive tone mapping

    Rafał Mantiuk;Scott Daly;Louis Kerofsky

  • A perceptual framework for contrast processing of high dynamic range images

    Rafal Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Dynamic range independent image quality assessment

    Tunç Ozan Aydin;Rafał Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Predicting visible differences in high dynamic range images : Model and its calibration

    Rafal Mantiuk;Scott J. Daly;Karol Myszkowski;Hans-Peter Seidel

  • Comparison of Four Subjective Methods for Image Quality Assessment

    Rafał K. Mantiuk;Anna Tomaszewska;Radosław Mantiuk

  • Backward compatible high dynamic range MPEG video compression

    Rafał Mantiuk;Alexander Efremov;Karol Myszkowski;Hans-Peter Seidel

  • Perception-motivated high dynamic range video encoding

    Rafal Mantiuk;Grzegorz Krawczyk;Karol Myszkowski;Hans-Peter Seidel

  • HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images

    Manish Narwaria;Rafal K. Mantiuk;Mattheiu Perreira Da Silva;Patrick Le Callet

  • Extending Quality Metrics to Full Luminance Range Images

    Tunc Ozan Aydin;Rafał Mantiuk;Hans-Peter Seidel

  • Near-Eye Display and Tracking Technologies for Virtual and Augmented Reality

    George Alex Koulieris;Kaan Akşit;Michael Stengel;Rafał Mantiuk

  • Color correction for tone mapping

    R. Mantiuk;A. Tomaszewska;W. Heidrich

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

    Zicong Mai;H Mansour;R Mantiuk;P Nasiopoulos

  • Visible difference predicator for high dynamic range images

    R. Mantiuk;K. Myszkowski;H.-P. Seidel

  • FovVideoVDP: a visible difference predictor for wide field-of-view video

    Rafał K. Mantiuk;Gyorgy Denes;Alexandre Chapiro;Anton Kaplanyan

  • Evaluation of tone mapping operators for HDR video

    Gabriel Eilertsen;Robert Wanat;Rafał K. Mantiuk;Jonas Unger

  • HIGH DYNAMIC RANGE CODEC

    Alexander Efremov;Rafal Mantiuk;Grzegorz Krawczyk;Karol Myszkowski

  • Towards a Quality Metric for Dense Light Fields

    Vamsi Kiran Adhikarla;Marek Vinkler;Denis Sumin;Rafal K. Mantiuk

  • A comparative review of tone-mapping algorithms for high dynamic range video

    G. Eilertsen;R. K. Mantiuk;J. Unger

  • Backward Compatible High Dynamic Range MPEG Video Compression

    Rafał Mantiuk;Alexander Efremov;Karol Myszkowski;Hans-Peter Seidel

  • High Dynamic Range Imaging

    Rafał K. Mantiuk;Karol Myszkowski;Hans-Peter Seidel

  • Predicting Visible Differences in High Dynamic Range Images - Model and its Calibration

    Rafal Mantiuk;Scott Daly;Karol Myszkowski;Hans-Peter Seidel

Frequent Co-Authors

Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Scott J. Daly
Scott J. Daly Dolby (United States)
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Frederic Dufaux
Frederic Dufaux CentraleSupélec
Giovanni Ramponi
Giovanni Ramponi University of Trieste
Louis Joseph Kerofsky
Louis Joseph Kerofsky Qualcomm (United States)
Anthony Steed
Anthony Steed University College London
Michael S. Landy
Michael S. Landy New York University

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