World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
18590
World Ranking
6016
National Ranking
4

Matej Kristan 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 Matej Kristan 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: 137 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Matej Kristan 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 Matej Kristan 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Matej Kristan is affiliated with the University of Ljubljana in Slovenia. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Computer Vision and Pattern Recognition, Ocean Engineering, Artificial Intelligence, Oceanography, and Industrial and Manufacturing Engineering.

Their recent publications reflect a concentration on topics related to advanced neural network applications, maritime navigation and safety, video surveillance and tracking methods, underwater vehicles and communication systems, anomaly detection techniques and applications, industrial vision systems and defect detection, and visual attention and saliency detection.

  • DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Reconstruction by inpainting for visual anomaly detection (2020), Pattern Recognition
  • WaSR-A Water Segmentation and Refinement Maritime Obstacle Detection Network (2021), IEEE Transactions on Cybernetics
  • MODS -- A USV-oriented object detection and obstacle segmentation benchmark (2021), arXiv (Cornell University)
  • DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection (2021), arXiv (Cornell University)

Frequent coauthors of Matej Kristan include:

  • Lojze Žust
  • Alan Lukežič
  • Matjaž Ličer
  • Vitjan Zavrtanik
  • Jiřı́ Matas

Their work is published predominantly in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Geoscientific Model Development
  • IEEE Transactions on Cybernetics
  • Sensors

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • Discriminative Correlation Filter with Channel and Spatial Reliability

    Alan Lukezic;Tomas Vojir;Luka Cehovin Zajc;Jiri Matas

  • DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection

    Unknown

  • A Novel Performance Evaluation Methodology for Single-Target Trackers

    Matej Kristan;Jiri Matas;Ales Leonardis;Tomas Vojir

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Reconstruction by inpainting for visual anomaly detection

    Vitjan Zavrtanik;Matej Kristan;Danijel Skočaj

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Discriminative Correlation Filter with Channel and Spatial Reliability

    Alan Lukežič;Tomáš Vojíř;Luka Čehovin;Jiří Matas

  • Discriminative Correlation Filter Tracker with Channel and Spatial Reliability

    Alan LukeźIăź;Tomáš Vojíř;Luka Čehovin Zajc;Jiří Matas

  • D3S – A Discriminative Single Shot Segmentation Tracker

    Alan Lukezic;Jiri Matas;Matej Kristan

  • Multivariate online kernel density estimation with Gaussian kernels

    Matej Kristan;Aleš Leonardis;Danijel Skočaj

  • Visual Object Tracking Performance Measures Revisited

    Luka Cehovin;Ales Leonardis;Matej Kristan

  • The Eighth Visual Object Tracking VOT2020 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model

    L. Čehovin;M. Kristan;A. Leonardis

  • A trajectory-based analysis of coordinated team activity in a basketball game

    Matej Perše;Matej Kristan;Stanislav Kovačič;Goran Vučkovič

  • Fast Image-Based Obstacle Detection From Unmanned Surface Vehicles

    Matej Kristan;Vildana Sulic Kenk;Stanislav Kovacic;Janez Pers

  • A Two-Stage Dynamic Model for Visual Tracking

    Matej Kristan;Stanislav Kovacic;Aleš Leonardis;Janez Pers

  • D3S -- A Discriminative Single Shot Segmentation Tracker.

    Alan Lukežič;Jiří Matas;Matej Kristan

Frequent Co-Authors

Ales Leonardis
Ales Leonardis University of Birmingham
Jiri Matas
Jiri Matas Czech Technical University in Prague
Michael Felsberg
Michael Felsberg Linköping University
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Joni-Kristian Kamarainen
Joni-Kristian Kamarainen Tampere University
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Fatih Porikli
Fatih Porikli Australian National University
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Richard Bowden
Richard Bowden University of Surrey

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