World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
65
Citations
28505
World Ranking
2396
National Ranking
3

Tomas Pajdla 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 Tomas Pajdla 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: 233 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Tomas Pajdla 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 Tomas Pajdla 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: 65 D-Index — 83rd percentile

83% 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 Czechia Leader Award
  • 2025 - Research.com Computer Science in Czechia Leader Award
  • 2022 - Research.com Computer Science in Czechia Leader Award

Overview

Tomas Pajdla is affiliated with the Czech Technical University in Prague, Czech Republic. Their research spans several fields primarily focused on computer science and engineering, with significant contributions in computer vision and pattern recognition.

The scientist has published extensively in areas including:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Computational Mechanics
  • Control and Systems Engineering
  • Computer Graphics and Computer-Aided Design

Pajdla's main topics of work include:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Numerical Analysis Techniques
  • Optical Measurement and Interference Techniques
  • Robotic Mechanisms and Dynamics
  • Computational Geometry and Mesh Generation

Their recent papers cover diverse subjects within these domains. Notable publications include:

  • "Long-Term Visual Localization Revisited," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Automatic self-contained calibration of an industrial dual-arm robot with cameras using self-contact, planar constraints, and self-observation," 2021, Robotics and Computer-Integrated Manufacturing
  • "Globally Optimal Solution to Inverse Kinematics of 7DOF Serial Manipulator," 2022, IEEE Robotics and Automation Letters
  • "Galois/Monodromy Groups for Decomposing Minimal Problems in 3D Reconstruction," 2022, SIAM Journal on Applied Algebra and Geometry

Pajdla has co-authored work frequently with the following researchers:

  • Timothy Duff
  • Federica Arrigoni
  • Anton Leykin
  • Kathlén Kohn
  • Zuzana Kúkelová

The scientist's publications appear regularly in several venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

In addition to journal and conference publications, Pajdla has contributed to book chapters published by Springer Science+Business Media, including multiple editions of "Computer Vision - ACCV 2020."

Best Publications

  • Robust wide-baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

  • 3D with Kinect

    Jan Smisek;Michal Jancosek;Tomas Pajdla

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • Robust wide baseline stereo from maximally stable extremal regions

    Jiri Matas;Ondrej Chum;Martin Urban;Tomás Pajdla

  • D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • A convenient multicamera self-calibration for virtual environments

    Tomás Svoboda;Daniel Martinec;Tomás Pajdla

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • 24/7 place recognition by view synthesis

    Akihiko Torii;Relja Arandjelovic;Josef Sivic;Masatoshi Okutomi

  • Multi-view reconstruction preserving weakly-supported surfaces

    Michal Jancosek;Tomas Pajdla

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Toma Pajdla;Masatoshi Okutomi

  • Robust Rotation and Translation Estimation in Multiview Reconstruction

    D. Martinec;T. Pajdla

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Visual Place Recognition with Repetitive Structures

    Akihiko Torii;Josef Sivic;Masatoshi Okutomi;Tomas Pajdla

  • Automatic Generator of Minimal Problem Solvers

    Zuzana Kukelova;Martin Bujnak;Tomas Pajdla

  • Epipolar Geometry for Central Catadioptric Cameras

    Tomáš Svoboda;Tomáš Pajdla

  • Avoiding confusing features in place recognition

    Jan Knopp;Josef Sivic;Tomas Pajdla

  • Structure from motion with wide circular field of view cameras

    B. Micusik;T. Pajdla

  • Epipolar Geometry of Panoramic Cameras

    Tomás Svoboda;Tomás Pajdla;Václav Hlavác

  • Estimation of omnidirectional camera model from epipolar geometry

    B. Micusik;T. Pajdla

  • Neighbourhood Consensus Networks

    Ignacio Rocco;Mircea Cimpoi;Relja Arandjelović;Akihiko Torii

  • InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

Frequent Co-Authors

Josef Sivic
Josef Sivic Czech Technical University in Prague
Marc Pollefeys
Marc Pollefeys ETH Zurich
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Didier Henrion
Didier Henrion Laboratory for Analysis and Architecture of Systems
Ondrej Chum
Ondrej Chum Czech Technical University in Prague
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Jiri Matas
Jiri Matas Czech Technical University in Prague
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Daphna Weinshall
Daphna Weinshall Hebrew University of Jerusalem

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related online degrees and career pathways. Many students find value in diversifying their skillsets or pivoting to adjacent fields as the tech industry evolves.

For those interested in law, security, or public safety, a criminal justice degree online accredited program can complement a computing background and lead to roles in cybersecurity, forensics, or policy-making.

If you’re drawn to business and finance, an accounting degree provides a strong foundation in data interpretation and financial tech, often sought by tech-driven companies.

Data-driven decision making has created strong demand for professionals with advanced analytics skills. You can expand your expertise further with an online data science masters, preparing for careers in data engineering, machine learning, and AI.

Additionally, a construction management degree online can be valuable for tech professionals interested in smart infrastructure, project leadership, or integrating IT into building industries.

Best Scientists Citing Tomas Pajdla

Trending Scientists

Recently Published Articles