World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
19776
World Ranking
2853
National Ranking
167

David Bull 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 David Bull 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: 612 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

David Bull 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 David Bull 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: 62 D-Index — 80th percentile

80% 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

  • 2013 - IEEE Fellow For contributions in video analysis, compression and communications

Overview

David Bull is affiliated with the University of Bristol in the United Kingdom and has a research focus predominantly within the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Aerospace Engineering, and Management, Monitoring, Policy and Law.

Over the course of their career, David Bull has contributed extensively to topics such as:

  • Advanced Image Processing Techniques
  • Image and Video Quality Assessment
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Advanced Data Compression Techniques
  • Image and Signal Denoising Methods
  • Image Enhancement Techniques

The scientist has published more than 200 works, with a significant number appearing in prominent venues including:

  • arXiv (Cornell University)
  • Signal Processing Image Communication
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • Artificial Intelligence Review
  • Bristol Research (University of Bristol)

Among their recent publications are the following papers:

  • HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • MFRNet: A New CNN Architecture for Post-Processing and In-loop Filtering, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data, 2021, Journal of Geophysical Research Solid Earth
  • ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

David Bull has collaborated frequently with a number of co-authors, including:

  • Fan Zhang
  • Nantheera Anantrasirichai
  • Duolikun Danier
  • Angeliki Katsenou

In recognition of their contributions to the field, David Bull was named an IEEE Fellow in 2013 for their work on video analysis, compression, and communications.

Best Publications

  • An overview of genetic algorithms: Part 1, fundamentals

    David Beasley;David R. Bull;Ralph Robert Martin

  • Artificial intelligence in the creative industries: a review

    Nantheera Anantrasirichai;David R. Bull

  • Pixel- and region-based image fusion with complex wavelets

    John J. Lewis;Robert J. O'Callaghan;Stavri G. Nikolov;David R. Bull

  • Projective image restoration using sparsity regularization

    N. Anantrasirichai;J. Burn;David R. Bull

  • A sequential niche technique for multimodal function optimization

    David Beasley;David R. Bull;Ralph R. Martin

  • A comparison of the HIPERLAN/2 and IEEE 802.11a wireless LAN standards

    A. Doufexi;S. Armour;M. Butler;A. Nix

  • Primitive operator digital filters

    D.R. Bull;D.H. Horrocks

  • Image Fusion Using Complex Wavelets

    Unknown

  • Proceedings of the IEEE International Conference on Image Processing (ICIP)

    Jth Chung How;David Bull

  • Image fusion metric based on mutual information and Tsallis entropy

    N Cvejic;C N Canagarajah;David Bull

  • Sequential Monte Carlo tracking by fusing multiple cues in video sequences

    Paul Brasnett;Lyudmila Mihaylova;David Bull;Nishan Canagarajah

  • Combined morphological-spectral unsupervised image segmentation

    R.J. O'Callaghan;D.R. Bull

  • Region-Based Multimodal Image Fusion Using ICA Bases

    N. Cvejic;D. Bull;N. Canagarajah

  • Wavelets for Image Fusion

    Stavri Nikolov;Paul Hill;David Bull;Nishan Canagarajah

  • Application of Machine Learning to Classification of Volcanic Deformation in Routinely-Generated InSAR data

    N. Anantrasirichai;J. Biggs;F. Albino;P. Hill

  • Region-Based Image Fusion Using Complex Wavelets

    J. J. Lewis;R. J. O’Callaghan;S. G. Nikolov;D. R. Bull

  • Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients

    Artur Łoza;David R. Bull;Paul R. Hill;Alin M. Achim

  • A Similarity Metric for Assessment of Image Fusion Algorithms

    Nedeljko Cvejic;Artur Łoza;David Bull;Nishan Canagarajah

  • Robust texture features for blurred images using Undecimated Dual-Tree Complex Wavelets

    N. Anantrasirichai;J. Burn;David R. Bull

  • Image segmentation using a texture gradient based watershed transform

    P.R. Hill;C.N. Canagarajah;D.R. Bull

  • 2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS

    Victoria Sgardoni;Pierre Ferre;Andrew R Nix;David Bull

  • Proceedings of SPIE - The International Society for Optical Engineering

    Dimitris Agrafiotis;P. Ferré;David Bull

  • Proc IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    PJ Czerepinski;MF Tariq;David Bull;C N Canagarajah

Frequent Co-Authors

Andrew R Nix
Andrew R Nix University of Bristol
Nishan Canagarajah
Nishan Canagarajah University of Bristol
Simon Armour
Simon Armour University of Bristol
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Iain D. Gilchrist
Iain D. Gilchrist University of Bristol
Juliet Biggs
Juliet Biggs University of Bristol
Paul Verkade
Paul Verkade University of Bristol
Ralph R. Martin
Ralph R. Martin Cardiff University
Erik Reinhard
Erik Reinhard InterDigital (United States)
Nick Kingsbury
Nick Kingsbury University of Cambridge

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