World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7207
World Ranking
10130
National Ranking
631

Alan Chalmers 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 Alan Chalmers 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: 358 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Alan Chalmers 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 Alan Chalmers 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Alan Chalmers is affiliated with the University of Warwick in the United Kingdom. Their research focuses primarily on the field of Computer Science, with a specialization in several subfields including Computer Vision and Pattern Recognition, Human-Computer Interaction, Atomic and Molecular Physics, and Optics, as well as Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging.

The scientist's work covers a range of topics predominantly centered on image processing and computer vision. Key areas include Image Enhancement Techniques, Color Science and Applications, Virtual Reality Applications and Impacts, Advanced Neural Network Applications, Advanced Vision and Imaging, Image and Video Quality Assessment, and Visual Attention and Saliency Detection.

Alan Chalmers has published multiple papers, with recent notable works listed as follows:

  • Virtual Flavor: High-Fidelity Simulation of Real Flavor Experiences, 2023, IEEE Computer Graphics and Applications
  • Deep Controllable Backlight Dimming for HDR Displays, 2022, IEEE Transactions on Consumer Electronics
  • Object Detection Under Challenging Lighting Conditions Using High Dynamic Range Imagery, 2021, IEEE Access
  • Subjective and Objective Evaluation of Local Dimming Algorithms for HDR Images, 2020, IEEE Access
  • Backward Compatible Object Detection Using HDR Image Content, 2020, IEEE Access

Their frequent co-authors include Kurt Debattista, Lvyin Duan, Demetris Marnerides, Zhichun Lei, and Ahmet Oğuz Akyüz, indicating ongoing collaborative research efforts.

Chalmers' work has appeared predominantly in venues such as Virtual Reality, IEEE Access, The Visual Computer, Radiotherapy and Oncology, and IEEE Transactions on Consumer Electronics, highlighting a breadth of engagement with both computing and applied medical imaging communities. Publications in Virtual Reality and IEEE Access are notably recurrent.

Best Publications

  • Advanced High Dynamic Range Imaging

    Francesco Banterle;Alessandro Artusi;Kurt Debattista;Alan Chalmers

  • Evaluation of tone mapping operators using a High Dynamic Range display

    Patrick Ledda;Alan Chalmers;Tom Troscianko;Helge Seetzen

  • The effects of levels of immersion on memory and presence in virtual environments: a reality centered approach.

    Katerina Mania;Alan Chalmers

  • Inverse tone mapping

    Francesco Banterle;Patrick Ledda;Kurt Debattista;Alan Chalmers

  • Advanced High Dynamic Range Imaging: Theory and Practice

    Francesco Banterle;Alessandro Artusi;Kurt Debattista;Alan Chalmers

  • Tone Reproduction and Physically Based Spectral Rendering

    Kate Devlin;Alan Chalmers;Alexander Wilkie;Werner Purgathofer

  • Detail to attention: exploiting visual tasks for selective rendering

    K. Cater;A. Chalmers;G. Ward

  • A local model of eye adaptation for high dynamic range images

    Patrick Ledda;Luis Paulo Santos;Alan Chalmers

  • How level of realism influences anxiety in virtual reality environments for a job interview

    Joung Huem Kwon;John Powell;Alan Chalmers

  • A GPU based saliency map for high-fidelity selective rendering

    Peter Longhurst;Kurt Debattista;Alan Chalmers

  • Selective quality rendering by exploiting human inattentional blindness: looking but not seeing

    Kirsten Cater;Alan Chalmers;Patrick Ledda

  • Fidelity metrics for virtual environment simulations based on spatial memory awareness states

    Katerina Mania;Tom Troscianko;Rycharde Hawkes;Alan Chalmers

  • Comparing Real & Synthetic Scenes using Human Judgements of Lightness

    Ann McNamara;Alan Chalmers;Tom Troscianko;Iain Gilchrist

  • High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content

    Francesco Banterle;Kurt Debattista;Alessandro Artusi;Alessandro Artusi;Sumanta N. Pattanaik

  • Practical Parallel Rendering

    Alan Chalmers;Timothy Davis;Erik Reinhard

  • A framework for inverse tone mapping

    Francesco Banterle;Patrick Ledda;Kurt Debattista;Alan Chalmers

  • High fidelity reconstruction of the ancient Egyptian temple of Kalabsha

    Veronica Sundstedt;Alan Chalmers;Philippe Martinez

  • Image-Based Empirical Information Acquisition, Scientific Reliability, and Long-Term Digital Preservation for the Natural Sciences and Cultural Heritage

    Mark Mudge;Tom Malzbender;Alan Chalmers;Roberto Scopigno

  • Visual attention for efficient high-fidelity graphics

    V. Sundstedt;K. Debattista;P. Longhurst;A. Chalmers

  • Illuminating the past: state of the art

    Jassim Happa;Mark Mudge;Kurt Debattista;Alessandro Artusi

  • Realistic visualisation of the Pompeii frescoes

    Kate Devlin;Alan Chalmers

Frequent Co-Authors

Erik Reinhard
Erik Reinhard InterDigital (United States)
Diego Gutierrez
Diego Gutierrez University of Zaragoza
Dieter Wolke
Dieter Wolke University of Warwick
Yiorgos Chrysanthou
Yiorgos Chrysanthou University of Cyprus
Karol Myszkowski
Karol Myszkowski Max Planck Institute for Informatics
Roberto Scopigno
Roberto Scopigno Institute of Information Science and Technologies
Nadia Magnenat-Thalmann
Nadia Magnenat-Thalmann University of Geneva
Max Birchwood
Max Birchwood University of Warwick
Matthew R. Broome
Matthew R. Broome University of Birmingham
Patrizio Campisi
Patrizio Campisi Roma Tre University

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Related Online Degrees & Career Pathways

Exploring a future in Computer Science opens doors to a wide range of opportunities. However, it's important to also consider related fields of study. Knowing about the different majors in college can help you identify areas that fit your interests, from Information Technology to Data Science.

For those seeking graduate-level credentials, some may be interested in options regarded as easy masters degrees that can fast-track a transition into tech-adjacent roles. Online education provides flexibility for working students; many programs are also accessible and cost-effective.

If you are considering advanced study, there are affordable doctoral programs available online, making it possible to pursue research or academic careers without breaking the bank. For education professionals, easiest edd programs offer fast-track options to leadership roles.

Understanding these related degrees and career pathways can help you plan your educational journey in Computer Science and beyond, equipping you with the skills needed for the evolving tech landscape.

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