World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8722
World Ranking
7172
National Ranking
229

Nick Barnes 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 Nick Barnes 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: 311 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Nick Barnes 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 Nick Barnes 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Nick Barnes is affiliated with the Australian National University in Australia and has contributed extensively to the field of computer science, with a particular focus on computer vision and artificial intelligence. Their research spans a variety of specialized topics, demonstrating a multidisciplinary approach within the areas of visual attention, neural networks, and 3D data processing.

Their recent published works include:

  • A Deep Journey into Super-resolution, 2020, ACM Computing Surveys
  • A Comprehensive Overview of Large Language Models, 2023, arXiv (Cornell University)
  • Geometric Back-Projection Network for Point Cloud Classification, 2021, IEEE Transactions on Multimedia
  • A Comprehensive Overview of Large Language Models, 2025, ACM Transactions on Intelligent Systems and Technology
  • Uncertainty Inspired RGB-D Saliency Detection, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Nick Barnes frequently collaborates with a number of researchers, including:

  • Saeed Anwar
  • Jing Zhang
  • Yuchao Dai
  • Shi Qiu

Their work has appeared in several notable venues, among which the most frequent are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Translational Vision Science & Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Within computer science, Nick Barnes focuses on the subfields of:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Computational Mechanics
  • Radiology, Nuclear Medicine and Imaging

Their research covers a range of topics, including:

  • Visual Attention and Saliency Detection
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • Multimodal Machine Learning Applications
  • 3D Surveying and Cultural Heritage

Best Publications

  • Real Image Denoising With Feature Attention

    Saeed Anwar;Nick Barnes

  • Simultaneously Localize, Segment and Rank the Camouflaged Objects

    Yunqiu Lv;Jing Zhang;Yuchao Dai;Aixuan Li

  • Fast shape-based road sign detection for a driver assistance system

    G. Loy;N. Barnes

  • A Deep Journey into Super-resolution: A Survey

    Saeed Anwar;Salman Khan;Nick Barnes

  • UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

    Jing Zhang;Deng-Ping Fan;Yuchao Dai;Saeed Anwar

  • A Comprehensive Overview of Large Language Models

    Unknown

  • First-in-Human Trial of a Novel Suprachoroidal Retinal Prosthesis

    Lauren N Ayton;Peter J. Blamey;Robyn H. Guymer;Chi D Luu

  • Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

    Shi Qiu;Saeed Anwar;Nick Barnes

  • Geometric Back-projection Network for Point Cloud Classification

    Shi Qiu;Saeed Anwar;Nick Barnes

  • A Comprehensive Overview of Large Language Models

    Unknown

  • Real-time radial symmetry for speed sign detection

    N. Barnes;A. Zelinsky

  • Real-Time Speed Sign Detection Using the Radial Symmetry Detector

    N. Barnes;A. Zelinsky;L.S. Fletcher

  • Local Background Enclosure for RGB-D Salient Object Detection

    David Feng;Nick Barnes;Shaodi You;Chris McCarthy

  • Densely Residual Laplacian Super-Resolution.

    Saeed Anwar;Nick Barnes

  • Fast Image Reconstruction with an Event Camera

    Cedric Scheerlinck;Henri Rebecq;Daniel Gehrig;Nick Barnes

  • Continuous-Time Intensity Estimation Using Event Cameras

    Cedric Scheerlinck;Nick Barnes;Robert E. Mahony

  • Correlating driver gaze with the road scene for driver assistance systems

    Luke Fletcher;Gareth Loy;Nick Barnes;Alexander Zelinsky

  • Uncertainty Inspired RGB-D Saliency Detection.

    Jing Zhang;Deng-Ping Fan;Yuchao Dai;Saeed Anwar

  • RGB-D Saliency Detection via Cascaded Mutual Information Minimization

    Jing Zhang;Deng-Ping Fan;Yuchao Dai;Xin Yu

  • Dense-Resolution Network for Point Cloud Classification and Segmentation

    Shi Qiu;Saeed Anwar;Nick Barnes

  • Reducing the Sim-to-Real Gap for Event Cameras

    Timo Stoffregen;Cedric Scheerlinck;Davide Scaramuzza;Tom Drummond

  • Improved Visual-Semantic Alignment for Zero-Shot Object Detection

    Shafin Rahman;Salman H. Khan;Nick Barnes

  • Speeding up Mutual Information Computation Using NVIDIA CUDA Hardware

    Ramtin Shams;Nick Barnes

  • The regular polygon detector

    Nick Barnes;Gareth Loy;David Shaw

Frequent Co-Authors

Xuming He
Xuming He Washington University in St. Louis
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University
Shaodi You
Shaodi You University of Amsterdam
Stephen Gould
Stephen Gould Australian National University
Jose M. Alvarez
Jose M. Alvarez Nvidia (United States)
Chunhua Shen
Chunhua Shen Zhejiang University
Richard Hartley
Richard Hartley Australian National University
Chris E. Williams
Chris E. Williams Bionics Institute
Robert Mahony
Robert Mahony Australian National University

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