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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
18563
World Ranking
3024
National Ranking
84

Simon Lucey 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 Simon Lucey 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Simon Lucey 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 Simon Lucey 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: 61 D-Index — 79th percentile

79% 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

Simon Lucey is affiliated with the University of Adelaide in Australia. Their research primarily falls within the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition and Artificial Intelligence. Their work also spans related subfields including Aerospace Engineering, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The scientist's publications cover a range of topics centered on visual computing and machine learning. Key areas of their research include Advanced Vision and Imaging, Robotics and Sensor-Based Localization, Advanced Neural Network Applications, Neural Networks and Applications, 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, and Domain Adaptation and Few-Shot Learning.

Among recent papers by Simon Lucey are the following:

  • "SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images" (2020, arXiv (Cornell University))
  • "Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "Rethinking Positional Encoding" (2021, arXiv (Cornell University))
  • "Neural Trajectory Fields for Dynamic Novel View Synthesis" (2021, arXiv (Cornell University))
  • "Neural Prior for Trajectory Estimation" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))

Simon Lucey frequently publishes in a variety of scientific venues. Notable venues where their work appears include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Value in Health
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The researcher collaborates regularly with several co-authors, including:

  • Hemanth Saratchandran
  • Sameera Ramasinghe
  • Shin-Fang Chng
  • Lachlan Ewen MacDonald
  • Xue-Qian Li

Best Publications

  • Argoverse: 3D Tracking and Forecasting With Rich Maps

    Ming-Fang Chang;Deva Ramanan;James Hays;John Lambert

  • Learning Background-Aware Correlation Filters for Visual Tracking

    Hamed Kiani Galoogahi;Ashton Fagg;Simon Lucey

  • Deformable Model Fitting by Regularized Landmark Mean-Shift

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

    Yasuhiro Aoki;Hunter Goforth;Rangaprasad Arun Srivatsan;Simon Lucey

  • Learning Depth from Monocular Videos Using Direct Methods

    Chaoyang Wang;Jose Miguel Buenaposada;Rui Zhu;Simon Lucey

  • Collecting Large, Richly Annotated Facial-Expression Databases from Movies

    Abhinav Dhall;R. Goecke;S. Lucey;T. Gedeon

  • Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

    Abhinav Dhall;Roland Goecke;Simon Lucey;Tom Gedeon

  • The painful face - Pain expression recognition using active appearance models

    Ahmed Bilal Ashraf;Simon Lucey;Jeffrey F. Cohn;Tsuhan Chen

  • Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

    Hamed Kiani Galoogahi;Ashton Fagg;Chen Huang;Deva Ramanan

  • Face alignment through subspace constrained mean-shifts

    Jason M. Saragih;Simon Lucey;Jeffrey F. Cohn

  • Correlation filters with limited boundaries

    Hamed Kiani Galoogahi;Terence Sim;Simon Lucey

  • Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction.

    Chen-Hsuan Lin;Chen Kong;Simon Lucey

  • Fast Convolutional Sparse Coding

    Hilton Bristow;Anders Eriksson;Simon Lucey

  • Multi-channel Correlation Filters

    Hamed Kiani Galoogahi;Terence Sim;Simon Lucey

  • Automatically Detecting Pain in Video Through Facial Action Units

    P Lucey;J F Cohn;I Matthews;S Lucey

  • Argoverse: 3D Tracking and Forecasting with Rich Maps

    Ming-Fang Chang;John Lambert;Patsorn Sangkloy;Jagjeet Singh

  • ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing

    Chen-Hsuan Lin;Ersin Yumer;Oliver Wang;Eli Shechtman

  • Learning Policies for Adaptive Tracking with Deep Feature Cascades

    Chen Huang;Simon Lucey;Deva Ramanan

  • Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face

    Simon Lucey;Ahmed Bilal Ashraf;Jeffrey F. Cohn

  • Enforcing convexity for improved alignment with constrained local models

    Yang Wang;S. Lucey;J.F. Cohn

  • PCRNet: Point Cloud Registration Network using PointNet Encoding.

    Vinit Sarode;Xueqian Li;Hunter Goforth;Yasuhiro Aoki

Frequent Co-Authors

Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Jason Saragih
Jason Saragih Facebook (United States)
Vinod Chandran
Vinod Chandran Queensland University of Technology
Tsuhan Chen
Tsuhan Chen Cornell University
Patrick Lucey
Patrick Lucey Stats Perform
Clinton Fookes
Clinton Fookes Queensland University of Technology
Simon Denman
Simon Denman Queensland University of Technology
Iain Matthews
Iain Matthews University of East Anglia
Kenneth M. Prkachin
Kenneth M. Prkachin University of Northern British Columbia

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