World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
12514
World Ranking
3280
National Ranking
92

Clinton Fookes 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 Clinton Fookes 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: 450 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Clinton Fookes 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 Clinton Fookes 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Clinton Fookes is affiliated with the Queensland University of Technology in Australia. Their research expertise centers primarily on computer science, with a focus on subfields such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, radiology, nuclear medicine and imaging, and cognitive neuroscience.

The scientist's work spans multiple main topics including advanced neural network applications, video surveillance and tracking methods, human pose and action recognition, advanced image and video retrieval techniques, domain adaptation and few-shot learning, face recognition and analysis, and robotics and sensor-based localization.

Notable recent publications by Clinton Fookes include:

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020), published in JAMA Network Open
  • Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future (2021), published in Sensors
  • Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals (2021), published in IEEE Sensors Journal
  • A survey on graph-based deep learning for computational histopathology (2021), published in Computerized Medical Imaging and Graphics
  • Geometric Deep Learning for Subject Independent Epileptic Seizure Prediction Using Scalp EEG Signals (2021), published in IEEE Journal of Biomedical and Health Informatics

Frequent coauthors collaborating with Clinton Fookes include Sridha Sridharan, Simon Denman, Tharindu Fernando, Kien Nguyen, and Peyman Moghadam.

Publication venues where Clinton Fookes has frequently appeared include:

  • arXiv (Cornell University)
  • Pattern Recognition
  • ACM Computing Surveys
  • Computer Vision and Image Understanding
  • IEEE Sensors Journal

Best Publications

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

    Thomas Schaffter;Diana S. M. Buist;Christoph I. Lee;Yaroslav Nikulin

  • Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection.

    Tharindu Fernando;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

    Kien Nguyen;Clinton Fookes;Arun Ross;Sridha Sridharan

  • Crowd Counting Using Multiple Local Features

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • Bayesian neural networks: An introduction and survey

    Ethan Goan;Clinton Fookes

  • Deep Learning for Medical Anomaly Detection – A Survey

    Tharindu Fernando;Harshala Gammulle;Simon Denman;Sridha Sridharan

  • Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

    David Ahmedt-Aristizabal;David Ahmedt-Aristizabal;Mohammad Ali Armin;Simon Denman;Clinton Fookes

  • Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

    Harshala Gammulle;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Long range iris recognition

    Kien Nguyen;Clinton Fookes;Raghavender Jillela;Sridha Sridharan

  • Gait energy volumes and frontal gait recognition using depth images

    Sabesan Sivapalan;Daniel Chen;Simon Denman;Sridha Sridharan

  • A Mask-Based Approach for the Geometric Calibration of Thermal-Infrared Cameras

    S. Vidas;R. Lakemond;S. Denman;C. Fookes

  • A Database for Person Re-Identification in Multi-Camera Surveillance Networks

    Alina Bialkowski;Simon Denman;Sridha Sridharan;Clinton Fookes

  • An evaluation of crowd counting methods, features and regression models

    David Ryan;Simon Denman;Sridha Sridharan;Clinton Fookes

  • Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals

    Theekshana Dissanayake;Tharindu Fernando;Simon Denman;Sridha Sridharan

  • Heart Sound Segmentation Using Bidirectional LSTMs With Attention

    Tharindu Fernando;Houman Ghaemmaghami;Simon Denman;Sridha Sridharan

  • Correlation-aware adversarial domain adaptation and generalization

    Mohammad Mahfujur Rahman;Clinton Fookes;Mahsa Baktashmotlagh;Sridha Sridharan

  • Textures of optical flow for real-time anomaly detection in crowds

    David Ryan;Simon Denman;Clinton Fookes;Sridha Sridharan

  • Design and development of automatic visual inspection system for PCB manufacturing

    N. S. S. Mar;P. K. D. V. Yarlagadda;C. Fookes

  • Super-resolution for biometrics: A comprehensive survey

    Kien Nguyen;Clinton Fookes;Sridha Sridharan;Massimo Tistarelli

  • Liveness detection based on 3D face shape analysis

    A. Lagorio;M. Tistarelli;M. Cadoni;C. Fookes

  • Fruit Quantity and Ripeness Estimation Using a Robotic Vision System

    Michael Halstead;Christopher McCool;Simon Denman;Tristan Perez

  • Image2Mesh: A learning framework for single image 3D reconstruction

    Jhony Kaesemodel Pontes;Chen Kong;Sridha Sridharan;Simon Lucey

Frequent Co-Authors

Sridha Sridharan
Sridha Sridharan Queensland University of Technology
Simon Denman
Simon Denman Queensland University of Technology
Prasad Yarlagadda
Prasad Yarlagadda Queensland University of Technology
Vinod Chandran
Vinod Chandran Queensland University of Technology
Simon Lucey
Simon Lucey University of Adelaide
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Patrick Lucey
Patrick Lucey Stats Perform
Massimo Tistarelli
Massimo Tistarelli University of Sassari
Olivier Salvado
Olivier Salvado Commonwealth Scientific and Industrial Research Organisation
Lars Petersson
Lars Petersson Commonwealth Scientific and Industrial Research Organisation

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