World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6616
World Ranking
7676
National Ranking
243

Tat-Jun Chin 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 Tat-Jun Chin 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: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Tat-Jun Chin 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 Tat-Jun Chin 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Tat-Jun Chin is affiliated with the University of Adelaide in Australia. Their research output spans multiple fields within computer science and engineering, with a focus on aerospace engineering, computer vision and pattern recognition, and artificial intelligence.

The scientist's publication record includes significant contributions across various subfields and topics. Key subfields of study are:

  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Astronomy and Astrophysics
  • Electrical and Electronic Engineering

Main topics of research covered in their work include:

  • Robotics and Sensor-Based Localization
  • Space Satellite Systems and Control
  • Advanced Image and Video Retrieval Techniques
  • Planetary Science and Exploration
  • Advanced Neural Network Applications
  • Inertial Sensor and Navigation
  • Machine Learning and Algorithms

Among more recent papers, notable titles include:

  • "Semantics for Robotic Mapping, Perception and Interaction: A Survey" (2020), published in Foundations and Trends in Robotics
  • "Physical Adversarial Attacks on an Aerial Imagery Object Detector" (2022), presented at the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Auto-Rectify Network for Unsupervised Indoor Depth Estimation" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Satellite Pose Estimation Competition 2021: Results and Analyses" (2023), published in Acta Astronautica
  • "Topological Sweep for Multi-Target Detection of Geostationary Space Objects" (2020), published in IEEE Transactions on Signal Processing

Frequent coauthors in Tat-Jun Chin's collaborations include:

  • Ian Reid
  • Anh-Dzung Doan
  • Yasir Latif
  • Michele Sasdelli
  • Daqi Liu

Publication venues with multiple contributions from Tat-Jun Chin highlight activity in both conference and journal formats, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Acta Astronautica
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has also contributed to book publications with Springer Science+Business Media, notably as part of the volume "Computer Vision - ACCV 2022" published in 2023.

Tat-Jun Chin's work primarily intersects the disciplines of computer science and engineering, with substantial research focused on applications involving robotics, satellite systems, and advanced imaging methodologies.

Best Publications

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Unknown

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Julio Zaragoza;Tat-Jun Chin;Quoc-Huy Tran;Michael S. Brown

  • Incremental Kernel Principal Component Analysis

    Tat-Jun Chin;D. Suter

  • Guaranteed Outlier Removal for Point Cloud Registration with Correspondences

    Alvaro Parra Bustos;Tat-Jun Chin

  • Dynamic and hierarchical multi-structure geometric model fitting

    Hoi Sim Wong;Tat-Jun Chin;Jin Yu;David Suter

  • Semantics for Robotic Mapping, Perception and Interaction: A Survey

    Sourav Garg;Niko Sünderhauf;Feras Dayoub;Douglas Morrison

  • Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

    Hanzi Wang;Tat-Jun Chin;D. Suter

  • Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement

    Bo Chen;Jiewei Cao;Alvaro Parra;Tat-Jun Chin

  • Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis

    Tat-Jun Chin;Jin Yu;D. Suter

  • Robust fitting of multiple structures: The statistical learning approach

    Tat-Jun Chin;Hanzi Wang;David Suter

  • Clustering with Hypergraphs: The Case for Large Hyperedges

    Pulak Purkait;Tat-Jun Chin;Alireza Sadri;David Suter

  • Seam-Driven Image Stitching

    Junhong Gao;Yu Li;Tat-Jun Chin;Michael S. Brown

  • The Random Cluster Model for robust geometric fitting

    Trung Thanh Pham;Tat-Jun Chin;Jin Yu;David Suter

  • A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements

    Thuraiappah Sathyan;Tat-Jun Chin;Sanjeev Arulampalam;David Suter

  • End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization

    Bo Chen;Alvaro Parra;Jiewei Cao;Nan Li

  • Fast Rotation Search with Stereographic Projections for 3D Registration

    Álvaro Joaquin Parra Bustos;Tat-Jun Chin;David Suter

  • Rotation Averaging and Strong Duality

    Anders Eriksson;Carl Olsson;Fredrik Kahl;Tat-Jun Chin

  • Clustering with Hypergraphs: The Case for Large Hyperedges

    Pulak Purkait;Tat-Jun Chin;Hanno Ackermann;David Suter

  • Efficient globally optimal consensus maximisation with tree search

    Tat-Jun Chin;Pulak Purkait;Anders Eriksson;David Suter

  • Auto-Rectify Network for Unsupervised Indoor Depth Estimation

    Unknown

  • Incremental kernel SVD for face recognition with image sets

    Tat Jun Chin;Konrad Schindler;David Suter

  • In defence of RANSAC for outlier rejection in deformable registration

    Quoc-Huy Tran;Tat-Jun Chin;Gustavo Carneiro;Michael S. Brown

Frequent Co-Authors

David Suter
David Suter Edith Cowan University
Ian Reid
Ian Reid University of Adelaide
Hanzi Wang
Hanzi Wang Xiamen University
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Frank Neumann
Frank Neumann University of Adelaide
Michael S. Brown
Michael S. Brown York University
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Alireza Bab-Hadiashar
Alireza Bab-Hadiashar RMIT University

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