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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
89
Citations
79216
World Ranking
624
National Ranking
13

Richard Hartley 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 Richard Hartley 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 396 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Richard Hartley 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 Richard Hartley sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 89 D-Index — 96th percentile

96% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Richard Hartley is affiliated with the Australian National University in Australia. Their primary field of study is Computer Science, with a strong focus on Computer Vision and Pattern Recognition, where they have contributed extensively through 63 publications. Additional subfields include Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, and Control and Systems Engineering.

Their research covers a range of specialized topics reflecting current trends in machine learning and computer vision. Key areas include:

  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition

Hartley has contributed to various publication venues, with a notable concentration in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Information Forensics and Security
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their recent papers include the following works:

  • Learning to Estimate Hidden Motions with Global Motion Aggregation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks, 2020, arXiv (Cornell University)
  • BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models, 2024, IEEE Transactions on Information Forensics and Security
  • Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks, 2020, arXiv (Cornell University)

Richard Hartley has collaborated regularly with several frequent co-authors, reflecting active engagement in research networks. These co-authors include:

  • Naveed Akhtar
  • Ajmal Mian
  • Thalaiyasingam Ajanthan
  • Dylan Campbell
  • Hongdong Li

Best Publications

  • Multiple view geometry in computer vision

    Richard Hartley;Andrew Zisserman

  • Bundle Adjustment - A Modern Synthesis

    Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon

  • Multiple View Geometry in Computer Vision (2nd ed)

    Richard Hartley;Andrew Zisserman

  • In defense of the eight-point algorithm

    R.I. Hartley

  • In defence of the 8-point algorithm

    R.I. Hartley

  • Multiple View Geometry

    Richard Hartley;Andrew Zisserman

  • Multiple view geometry in computer visiond

    Richard Hartley;Andrew Zisserman

  • Estimation of Relative Camera Positions for Uncalibrated Cameras

    Richard I. Hartley

  • Optimised KD-trees for fast image descriptor matching

    C. Silpa-Anan;R. Hartley

  • Subexpression sharing in filters using canonic signed digit multipliers

    R.I. Hartley

  • Person Reidentification Using Spatiotemporal Appearance

    N. Gheissari;T.B. Sebastian;R. Hartley

  • Stereo from uncalibrated cameras

    R. Hartley;R. Gupta;T. Chang

  • Theory and Practice of Projective Rectification

    Richard I. Hartley

  • Euclidean Reconstruction from Uncalibrated Views

    Richard I. Hartley

  • Linear pushbroom cameras

    R. Gupta;R.I. Hartley

  • Triangulation, Computer Vision and Image Understanding

    R. I. Hartley

  • Self-calibration from multiple views with a rotating camera

    Richard I. Hartley

  • Self-Calibration of Stationary Cameras

    Richard I. Hartley

  • Parameter-Free Radial Distortion Correction with Center of Distortion Estimation

    R. Hartley;Sing Bing Kang

  • Motion segmentation with missing data using PowerFactorization and GPCA

    R. Vidal;R. Hartley

  • Rotation Averaging

    Unknown

Frequent Co-Authors

Hongdong Li
Hongdong Li Australian National University
Mehrtash Harandi
Mehrtash Harandi Monash University
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Andrew Zisserman
Andrew Zisserman University of Oxford
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Stephen Gould
Stephen Gould Australian National University
Adrien Bartoli
Adrien Bartoli University of Clermont Auvergne
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Brian C. Lovell
Brian C. Lovell University of Queensland
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University

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