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Computer Science
Australia
2026

D-Index & Metrics

Computer Science

D-Index
90
Citations
39709
World Ranking
602
National Ranking
10

Fatih Porikli 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 Fatih Porikli 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 463 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.

Fatih Porikli 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 Fatih Porikli sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 90 D-Index — 96th percentile

96% 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
  • 2014 - IEEE Fellow For contributions to computer vision and video surveillance

Overview

Fatih Porikli is affiliated with the Australian National University in Australia. Their research primarily focuses on computer science, with a particular concentration on computer vision and pattern recognition.

The subfields of study in which they have been active include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Media Technology
  • Computational Mechanics

The main research topics covered by Fatih Porikli encompass:

  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Image Enhancement Techniques

Frequent co-authors collaborating with Fatih Porikli include:

  • Shubhankar Borse (26 joint publications)
  • Hong Cai (20 joint publications)
  • Hong Cai (17 joint publications)
  • Debasmit Das (14 joint publications)
  • Amirhossein Habibian (11 joint publications)

Fatih Porikli has contributed to publications in several venues, with notable frequency in:

  • arXiv (Cornell University) - 76 publications
  • IEEE Transactions on Pattern Analysis and Machine Intelligence - 6 publications
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 4 publications
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - 3 publications
  • Neurocomputing - 3 publications

Selected recent papers include the following:

  • "Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors," 2022, IEEE Transactions on Image Processing
  • "A Survey on Deep Learning Technique for Video Segmentation," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Image Segmentation Using Deep Learning: A Survey," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Tensor Decompositions in Wireless Communications and MIMO Radar," 2021, IEEE Journal of Selected Topics in Signal Processing
  • "Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts," 2020, International Journal of Computer Vision

In 2014, Fatih Porikli was named an IEEE Fellow for contributions in the areas of computer vision and video surveillance.

Best Publications

  • Region Covariance : A Fast Descriptor for Detection and Classification

    Oncel Tuzel;Fatih Porikli;Peter Meer

  • Image Segmentation Using Deep Learning: A Survey.

    Shervin Minaee;Yuri Y. Boykov;Fatih Porikli;Antonio J Plaza

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Pedestrian Detection via Classification on Riemannian Manifolds

    O. Tuzel;F. Porikli;P. Meer

  • Integral histogram: a fast way to extract histograms in Cartesian spaces

    F. Porikli

  • Underwater scene prior inspired deep underwater image and video enhancement

    Chongyi Li;Saeed Anwar;Saeed Anwar;Fatih Porikli

  • Changedetection.net: A new change detection benchmark dataset

    Nil Goyette;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • Covariance Tracking using Model Update Based on Lie Algebra

    F. Porikli;O. Tuzel;P. Meer

  • Going deeper into action recognition

    Samitha Herath;Mehrtash Harandi;Fatih Porikli

  • CDnet 2014: An Expanded Change Detection Benchmark Dataset

    Yi Wang;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • Multi-class active learning for image classification

    Ajay J Joshi;Fatih Porikli;Nikolaos Papanikolopoulos

  • A Novel Performance Evaluation Methodology for Single-Target Trackers

    Matej Kristan;Jiri Matas;Ales Leonardis;Tomas Vojir

  • Human Detection via Classification on Riemannian Manifolds

    O. Tuzel;F. Porikli;P. Meer

  • Saliency-aware geodesic video object segmentation

    Wenguan Wang;Jianbing Shen;Fatih Porikli

  • Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors

    Unknown

  • See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

    Xiankai Lu;Wenguan Wang;Chao Ma;Jianbing Shen

  • Saliency-Aware Video Object Segmentation

    Wenguan Wang;Jianbing Shen;Ruigang Yang;Fatih Porikli

  • LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement

    Chongyi Li;Chongyi Li;Jichang Guo;Fatih Porikli;Yanwei Pang

  • Constant time O(1) bilateral filtering

    F. Porikli

  • Less is More: Towards Compact CNNs

    Hao Zhou;Jose M. Alvarez;Fatih Porikli;Fatih Porikli

Frequent Co-Authors

Oncel Tuzel
Oncel Tuzel Apple (United States)
Mehrtash Harandi
Mehrtash Harandi Monash University
Jianbing Shen
Jianbing Shen University of Macau
Ling Shao
Ling Shao Terminus International
Wenguan Wang
Wenguan Wang Zhejiang University
Xuming He
Xuming He Washington University in St. Louis
Hongdong Li
Hongdong Li Australian National University
Thierry Bouwmans
Thierry Bouwmans University of La Rochelle
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence

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