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Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
105
Citations
62459
World Ranking
281
National Ranking
4

Ian Reid 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 Ian Reid 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: 407 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Ian Reid 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 Ian Reid 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: 105 D-Index — 98th percentile

98% 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

  • 2026 - Research.com Computer Science in Australia Leader Award
  • 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

Ian Reid is affiliated with the University of Adelaide in Australia and specializes in Environmental Science with a focus on various subfields including Ecology, Global and Planetary Change, Civil and Structural Engineering, Earth-Surface Processes, and Management, Monitoring, Policy and Law. Their research encompasses key topics such as Hydrology and Sediment Transport Processes, Flood Risk Assessment and Management, Hydraulic flow and structures, Geological formations and processes, Landslides and related hazards, and Advancements in Photolithography Techniques.

Reid has contributed to multiple publications across several venues. Frequent publication outlets for their work include Earth Surface Processes and Landforms, Water Resources Research, Harvard Dataverse, and arXiv (Cornell University).

  • Novel mass-aggregation-based calibration of an acoustic method of monitoring bedload flux by infrequent desert flash floods, 2020, Earth Surface Processes and Landforms
  • Transient Bedload Transport During Flashflood Bores in a Desert Gravel-Bed Channel, 2023, Water Resources Research
  • Formation of repeating bar-flat bedforms in ephemeral gravel bed channels: 2. Bridging mathematical modelling and field observations, 2025, Earth Surface Processes and Landforms
  • bedload from ephemeral channels, 2022, Harvard Dataverse
  • Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning, 2025, arXiv (Cornell University)

Ian Reid collaborates frequently with several researchers, including Jonathan B. Laronne, Michael Dorman, Eran Halfi, Kyle Stark, and Gianluca Massera. Their cooperative work spans multiple papers and projects contributing to the breadth of their research outputs.

  • Jonathan B. Laronne
  • Michael Dorman
  • Eran Halfi
  • Kyle Stark
  • Gianluca Massera

Their research mainly explores environmental processes related to hydrology and sediment dynamics, particularly focusing on bedload transport during episodic flash floods and ephemeral gravel-bed channels. This includes the development and application of mathematical modeling and acoustic methods for monitoring geological and hydrological phenomena.

Best Publications

  • MonoSLAM: Real-Time Single Camera SLAM

    A.J. Davison;I.D. Reid;N.D. Molton;O. Stasse

  • Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

    Hamid Rezatofighi;Nathan Tsoi;JunYoung Gwak;Amir Sadeghian

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

    Guosheng Lin;Anton Milan;Chunhua Shen;Ian Reid

  • MOT16: A Benchmark for Multi-Object Tracking

    Anton Milan;Laura Leal-Taixé;Ian D. Reid;Stefan Roth

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;B. G. Vijay Kumar;Gustavo Carneiro;Ian D. Reid

  • Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

    Fayao Liu;Chunhua Shen;Guosheng Lin;Ian Reid

  • Articulated body motion capture by annealed particle filtering

    J. Deutscher;A. Blake;I. Reid

  • Single View Metrology

    A. Criminisi;I. Reid;A. Zisserman

  • Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

    Guosheng Lin;Chunhua Shen;Anton van den Hengel;Ian Reid

  • Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments

    Peter Anderson;Qi Wu;Damien Teney;Jake Bruce

  • MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking

    Laura Leal-Taixé;Anton Milan;Ian D. Reid;Stefan Roth

  • Stable multi-target tracking in real-time surveillance video

    Ben Benfold;Ian Reid

  • Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

    Huangying Zhan;Ravi Garg;Chamara Saroj Weerasekera;Kejie Li

  • A plane measuring device

    Antonio Criminisi;Ian D. Reid;Andrew Zisserman

  • Online multi-target tracking using recurrent neural networks

    Anton Milan;S. Hamid Rezatofighi;Anthony Dick;Ian Reid

  • Articulated Body Motion Capture by Stochastic Search

    Jonathan Deutscher;Ian Reid

  • MOT20: A benchmark for multi object tracking in crowded scenes.

    Patrick Dendorfer;Hamid Rezatofighi;Anton Milan;Javen Shi

  • Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

    Ravi Garg;Vijay Kumar Bg;Gustavo Carneiro;Ian Reid

  • Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

    Vineet Kosaraju;Amir Sadeghian;Roberto Martín-Martín;Ian D. Reid

Frequent Co-Authors

Chunhua Shen
Chunhua Shen Zhejiang University
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Lingqiao Liu
Lingqiao Liu University of Adelaide
Anton van den Hengel
Anton van den Hengel University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University
Victor Adrian Prisacariu
Victor Adrian Prisacariu University of Oxford
Qinfeng Shi
Qinfeng Shi University of Adelaide
Tat-Jun Chin
Tat-Jun Chin University of Adelaide
Anthony Dick
Anthony Dick University of Adelaide
Andrew Zisserman
Andrew Zisserman University of Oxford

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