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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
56
Citations
14697
World Ranking
4022
National Ranking
5

Torsten Sattler 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 Torsten Sattler 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Torsten Sattler 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 Torsten Sattler 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: 56 D-Index — 72nd percentile

72% 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

Torsten Sattler is affiliated with the Czech Technical University in Prague, Czech Republic. Their research spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Geology, and Computer Graphics and Computer-Aided Design.

The main topics of their work include:

  • Robotics and Sensor-Based Localization
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Optical measurement and interference techniques

Torsten Sattler has contributed scholarly papers to a variety of publication venues, among which are:

  • arXiv (Cornell University)
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture Notes in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Several recent notable papers by Sattler include:

  • "Computer Vision and Pattern Recognition 2020," 2021, International Journal of Computer Vision
  • "Long-Term Visual Localization Revisited," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction," 2022, arXiv (Cornell University)
  • "Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis," 2020, International Journal of Computer Vision
  • "Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes," 2024, ACM Transactions on Graphics

Frequent collaborators include researchers such as Zuzana Kúkelová, Fredrik Kahl, Aleš Leonardis, Elisa Ricci, and Stefan Roth, with collaboration counts ranging up to 18 joint works.

Torsten Sattler has also contributed to book publications, including the title "Pattern Recognition," published in 2021 by Springer Science+Business Media.

Best Publications

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

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos

    Thomas Schops;Johannes L. Schonberger;Silvano Galliani;Torsten Sattler

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • Fast image-based localization using direct 2D-to-3D matching

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Image-Based Localization Using LSTMs for Structured Feature Correlation

    F. Walch;C. Hazirbas;L. Leal-Taixe;T. Sattler

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

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Understanding the Limitations of CNN-Based Absolute Camera Pose Regression

    Torsten Sattler;Qunjie Zhou;Marc Pollefeys;Laura Leal-Taixe

  • MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

    Unknown

  • BAD SLAM: Bundle Adjusted Direct RGB-D SLAM

    Thomas Schops;Torsten Sattler;Marc Pollefeys

  • Comparative Evaluation of Hand-Crafted and Learned Local Features

    Johannes L. Schonberger;Hans Hardmeier;Torsten Sattler;Marc Pollefeys

  • Image Retrieval for Image-Based Localization Revisited.

    Torsten Sattler;Tobias Weyand;Bastian Leibe;Leif Kobbelt

  • Improving image-based localization by active correspondence search

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization

    Simon Lynen;Torsten Sattler;Michael Bosse;Joel A. Hesch

  • Semantic Visual Localization

    Johannes L. Schonberger;Marc Pollefeys;Andreas Geiger;Torsten Sattler

  • Computer Vision and Pattern Recognition 2020

    Zeynep Akata;Andreas Geiger;Torsten Sattler

  • Scalable 6-DOF Localization on Mobile Devices

    Sven Middelberg;Torsten Sattler;Ole Untzelmann;Leif Kobbelt

  • 3d visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection

    Christian Häne;Lionel Heng;Gim Hee Lee;Friedrich Fraundorfer

  • SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter

    Torsten Sattler;Bastian Leibe;Leif Kobbelt

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Torsten Sattler;Akihiko Torii;Josef Sivic;Marc Pollefeys

  • Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

    Paul-Edouard Sarlin;Ajaykumar Unagar;Mans Larsson;Hugo Germain

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

    Hajime Taira;Masatoshi Okutomi;Torsten Sattler;Mircea Cimpoi

  • Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?

    Akihiko Torii;Hajime Taira;Josef Sivic;Marc Pollefeys

Frequent Co-Authors

Marc Pollefeys
Marc Pollefeys ETH Zurich
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Josef Sivic
Josef Sivic Czech Technical University in Prague
Andreas Geiger
Andreas Geiger University of Tübingen
Leif Kobbelt
Leif Kobbelt RWTH Aachen University
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Laura Leal-Taixé
Laura Leal-Taixé Technical University of Munich
Bastian Leibe
Bastian Leibe RWTH Aachen University

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