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

D-Index & Metrics

Computer Science

D-Index
88
Citations
49712
World Ranking
663
National Ranking
2

Josef Sivic 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 Sivic 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Josef Sivic 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 Sivic 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: 88 D-Index — 95th percentile

95% 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
  • 2023 - Research.com Computer Science in Czechia Leader Award
  • 2022 - Research.com Computer Science in Czechia Leader Award

Overview

Josef Sivic is affiliated with the Czech Technical University in Prague in Czech Republic. Their research spans multiple domains, primarily focusing on computer science and engineering, with notable contributions to subfields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, molecular biology, and aerospace engineering.

The scientist's recent publications illustrate a breadth of topics and ongoing contributions across various venues. Some of these works include:

  • Long-Term Visual Localization Revisited (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Learning-Guided Protein Engineering (2023), ACS Catalysis
  • Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers (2021), arXiv (Cornell University)
  • NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TubeDETR: Spatio-Temporal Video Grounding with Transformers (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent coauthors include Ivan Laptev, Jiří Sedlář, Vladimír Petrík, Bryan Russell, and Antoine Miech, reflecting collaborations that have resulted in multiple joint publications.

Josef Sivic's primary publication venues signal an active engagement with leading conferences and journals, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their research covers a range of main topics and advanced techniques in multimodal machine learning applications, human pose and action recognition, domain adaptation and few-shot learning, robot manipulation and learning, advanced vision and imaging, advanced image and video retrieval techniques, and robotics and sensor-based localization.

In summary, the scientist's work reflects interdisciplinary expertise with an emphasis on computer vision systems and artificial intelligence, combined with practical applications in robotics and molecular biology. The combination of frequent collaborations and publication venues demonstrates a consistent engagement with prominent platforms and researchers within these fields.

Best Publications

  • Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

    Maxime Oquab;Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • Object retrieval with large vocabularies and fast spatial matching

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Lost in quantization: Improving particular object retrieval in large scale image databases

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Discovering objects and their location in images

    J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval

    O. Chum;J. Philbin;J. Sivic;M. Isard

  • Is object localization for free? - Weakly-supervised learning with convolutional neural networks

    Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • 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

  • What makes Paris look like Paris

    Carl Doersch;Saurabh Singh;Abhinav Gupta;Josef Sivic

  • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

    B.C. Russell;W.T. Freeman;A.A. Efros;J. Sivic

  • HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

    Antoine Miech;Dimitri Zhukov;Jean-Baptiste Alayrac;Makarand Tapaswi

  • "Hello! My name is... Buffy" - Automatic Naming of Characters in TV Video

    Mark Everingham;Josef Sivic;Andrew Zisserman

  • Non-uniform Deblurring for Shaken Images

    Oliver Whyte;Josef Sivic;Andrew Zisserman;Jean Ponce

  • Localizing Moments in Video with Natural Language

    Lisa Anne Hendricks;Lisa Anne Hendricks;Oliver Wang;Eli Shechtman;Josef Sivic

  • SIFT Flow: Dense Correspondence across Different Scenes

    Ce Liu;Jenny Yuen;Antonio Torralba;Josef Sivic

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • Efficient Visual Search of Videos Cast as Text Retrieval

    J. Sivic;A. Zisserman

  • Discovering object categories in image collections

    Josef Sivic;Bryan C. Russell;Alexei A. Efros;Andrew Zisserman

  • End-to-End Learning of Visual Representations From Uncurated Instructional Videos

    Antoine Miech;Jean-Baptiste Alayrac;Lucas Smaira;Ivan Laptev

  • What makes Paris look like Paris

    Carl Doersch;Saurabh Singh;Abhinav Gupta;Josef Sivic

Frequent Co-Authors

Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Andrew Zisserman
Andrew Zisserman University of Oxford
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Bryan C. Russell
Bryan C. Russell Adobe Systems (United States)
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Simon Lacoste-Julien
Simon Lacoste-Julien University of Montreal
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Jean Ponce
Jean Ponce École Normale Supérieure
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Marc Pollefeys
Marc Pollefeys ETH Zurich

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 many complementary online degrees and career paths. Students interested in cybersecurity, for example, can advance their expertise swiftly with an accelerated cyber security program. These programs offer flexible schedules and are designed to meet industry demands.

If you prefer a role that combines technology and management, consider the best 2 year construction management degree online. This option provides practical skills for overseeing technology-driven projects within the construction field.

Another popular direction is criminal justice. Understanding the criminal justice degree cost can help you start a rewarding career in law enforcement or cybersecurity with mindful financial planning.

Finally, computer science majors often benefit from business knowledge. Exploring accounting degree online cost resources will show you how affordable it can be to add accounting expertise—a skill valued in many tech-driven businesses.

Best Scientists Citing Josef Sivic

Trending Scientists

Recently Published Articles