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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
107
Citations
75819
World Ranking
261
National Ranking
14

Josef Kittler 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 Josef Kittler 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: 1,154 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Josef Kittler 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 Josef Kittler 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: 107 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2006 - IAPR King-Sun Fu Prize
  • 2002 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2000 - Fellow of the Royal Academy of Engineering (UK)
  • 1998 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition, and for outstanding leadership in IAPR

Overview

Josef Kittler is affiliated with the University of Surrey in the United Kingdom. Their research spans several fields within computer science and engineering, focusing predominantly on computer vision and pattern recognition.

Their recent publications include the following works:

  • "RFN-Nest: An end-to-end residual fusion network for infrared and visible images" (2021) published in Information Fusion
  • "MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion" (2020) published in IEEE Transactions on Image Processing
  • "LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images" (2023) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification" (2022) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink" (2020) published in IEEE Journal on Selected Areas in Communications

Their frequent coauthors include:

  • Xiao-Jun Wu
  • Tianyang Xu
  • Zhenhua Feng
  • Muhammad Awais
  • Hui Li

The scientists have published extensively in these venues:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Information Fusion
  • International Journal of Computer Vision
  • Neural Networks

Kittler's main fields of study are:

  • Computer Science
  • Engineering

Their research subfields include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Biomedical Engineering
  • Aerospace Engineering

Main topics covered in their work are:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Face and Expression Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Image Fusion Techniques
  • Multimodal Machine Learning Applications
  • Remote-Sensing Image Classification

Josef Kittler has received multiple awards, including:

  • IAPR King-Sun Fu Prize (2006)
  • Distinguished Fellow of the British Machine Vision Association (BMVA) (2002)
  • Fellow of the Royal Academy of Engineering (UK) (2000)
  • Fellow of the International Association for Pattern Recognition (IAPR) (1998) for contributions to computer vision and pattern recognition and outstanding leadership in IAPR

Best Publications

  • On combining classifiers

    J. Kittler;M. Hatef;R.P.W. Duin;J. Matas

  • Pattern recognition : a statistical approach

    Pierre A. Devijver;Josef Kittler

  • Floating search methods in feature selection

    P. Pudil;J. Novovičová;J. Kittler

  • A survey of the Hough transform

    J. Illingworth;J. Kittler

  • Minimum error thresholding

    J. Kittler;J. Illingworth

  • XM2VTSDB: The Extended M2VTS Database

    K. Messer;J. Matas;J. Kittler;Juergen Luettin

  • Advances in Cryptology – CRYPTO 2004

    Matt Franklin

  • Comparative study of Hough transform methods for circle finding

    H. K. Yuen;J. Princen;J. Illingworth;J. Kittler

  • Multiple Classifier Systems

    Nikunj C. Oza;Robi. Polikar;Josef. Kittler;Fabio. Roli

  • Locally Optimized RANSAC

    Ondřej Chum;Jiří Matas;Jiří Matas;Josef Kittler

  • RFN-Nest: An end-to-end residual fusion network for infrared and visible images

    Hui Li;Xiao-Jun Wu;Josef Kittler

  • The Adaptive Hough Transform

    J. Illingworth;J. Kittler

  • Robust Detection of Lines Using the Progressive Probabilistic Hough Transform

    J. Matas;C. Galambos;J. Kittler

  • Region growing: a new approach

    S.A. Hojjatoleslami;J. Kittler

  • Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

    Tae-Kyun Kim;J. Kittler;R. Cipolla

  • Structural matching in computer vision using probabilistic relaxation

    W.J. Christmas;J. Kittler;M. Petrou

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The BANCA database and evaluation protocol

    Enrique Bailly-Bailliére;Samy Bengio;Frédéric Bimbot;Miroslav Hamouz

  • Efficient and Robust Retrieval by Shape Content through Curvature Scale Space.

    Farzin Mokhtarian;Sadegh Abbasi;Josef Kittler

  • MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion

    Hui Li;Xiao-Jun Wu;Josef Kittler

  • Combining classifiers

    J. Kittler;M. Hater;R.P.W. Duin

Frequent Co-Authors

Maria Petrou
Maria Petrou Imperial College London
Jiri Matas
Jiri Matas Czech Technical University in Prague
Norman Poh
Norman Poh University of Surrey
John Illingworth
John Illingworth University of Surrey
Takeo Kanade
Takeo Kanade Carnegie Mellon University
David Hutchison
David Hutchison Lancaster University
Krystian Mikolajczyk
Krystian Mikolajczyk Imperial College London
Majid Mirmehdi
Majid Mirmehdi University of Bristol
Fabio Roli
Fabio Roli University of Genoa
Wenwu Wang
Wenwu Wang University of Surrey

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