World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4997
World Ranking
11731
National Ranking
24

Tomas Krajnik 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 Krajnik 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Tomas Krajnik 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 Krajnik 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Tomas Krajnik is affiliated with the Czech Technical University in Prague in the Czech Republic. Their research spans the fields of Engineering and Computer Science, with significant contributions to subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist's work broadly covers topics including Robotics and Sensor-Based Localization, Modular Robots and Swarm Intelligence, Robotic Path Planning Algorithms, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Autonomous Vehicle Technology and Safety, as well as Distributed Control Multi-Agent Systems.

Among recent publications, key papers include:

  • "A Robust UAV System for Operations in a Constrained Environment" (2020), published in IEEE Robotics and Automation Letters
  • "Bio-inspired artificial pheromone system for swarm robotics applications" (2020), published in Adaptive Behavior
  • "Occlusion-Based Coordination Protocol Design for Autonomous Robotic Shepherding Tasks" (2020), published in IEEE Transactions on Cognitive and Developmental Systems
  • "Federated Reinforcement Learning for Collective Navigation of Robotic Swarms" (2023), published in IEEE Transactions on Cognitive and Developmental Systems
  • "System for Multi-Robotic Exploration of Underground Environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge" (2022), published in Field Robotics

Tomas Krajnik frequently collaborates with several co-authors, among them are Tomáš Rouček, Farshad Arvin, George Broughton, J. Blaha, and Zdeněk Rozsypálek.

Publications appear regularly in a variety of venues, primarily including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Field Robotics
  • Frontiers in Robotics and AI
  • Sensors

Best Publications

  • AR-Drone as a platform for robotic research and education

    Tomáš Krajník;Vojtěch Vonásek;Daniel Fišer;Jan Faigl

  • A Practical Multirobot Localization System

    Tomáš Krajník;Matías Nitsche;Jan Faigl;Petr Vanĕk

  • System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization

    Martin Saska;Tomas Baca;Justin Thomas;Jan Chudoba

  • The STRANDS Project: Long-Term Autonomy in Everyday Environments

    Nick Hawes;Christopher Burbridge;Ferdian Jovan;Lars Kunze

  • Artificial Intelligence for Long-Term Robot Autonomy: A Survey

    Lars Kunze;Nick Hawes;Tom Duckett;Marc Hanheide

  • FreMEn: Frequency Map Enhancement for Long-Term Mobile Robot Autonomy in Changing Environments

    Tomas Krajnik;Jaime P. Fentanes;Joao M. Santos;Tom Duckett

  • Low-cost embedded system for relative localization in robotic swarms

    Jan Faigl;Tomas Krajnik;Jan Chudoba;Libor Preucil

  • Coordination and navigation of heterogeneous MAV-UGV formations localized by a 'hawk-eye'-like approach under a model predictive control scheme

    Martin Saska;Vojtĕch Vonásek;Tomáš Krajník;Libor Přeučil

  • FPGA based Speeded Up Robust Features

    Jan Svab;Tomas Krajnik;Jan Faigl;Libor Preucil

  • Cooperative autonomous search, grasping, and delivering in a treasure hunt scenario by a team of unmanned aerial vehicles

    Vojtěch Spurný;Tomáš Báča;Martin Saska;Robert Pěnička

  • A Robust UAV System for Operations in a Constrained Environment

    Matej Petrlik;Tomas Baca;Daniel Hert;Matous Vrba

  • DARPA Subterranean Challenge: Multi-robotic Exploration of Underground Environments

    Tomáš Rouček;Martin Pecka;Petr Čížek;Tomáš Petříček

  • Localization, Grasping, and Transportation of Magnetic Objects by a team of MAVs in Challenging Desert like Environments

    Giuseppe Loianno;Vojtech Spurny;Justin Thomas;Tomas Baca

  • EU Long-term Dataset with Multiple Sensors for Autonomous Driving

    Zhi Yan;Li Sun;Tomas Krajnik;Yassine Ruichek

  • Simple yet stable bearing-only navigation

    Tomáš Krajník;Jan Faigl;Vojtěch Vonásek;Karel Košnar

  • Spectral analysis for long-term robotic mapping

    Tomas Krajnik;Jaime Pulido Fentanes;Grzegorz Cielniak;Christian Dondrup

  • Cooperative μUAV-UGV autonomous indoor surveillance

    Martin Saska;Tomas Krajnik;Libor Pfeucil

  • Coordination and navigation of heterogeneous UAVs-UGVs teams localized by a hawk-eye approach

    Martin Saska;Vojtech Vonasek;Tomas Krajnik;Libor Preucil

  • SyRoTek—Distance Teaching of Mobile Robotics

    M. Kulich;J. Chudoba;K. Kosnar;T. Krajnik

  • Fault-Tolerant Formation Driving Mechanism Designed for Heterogeneous MAVs-UGVs Groups

    Martin Saska;Tomáš Krajník;Vojtĕch Vonásek;Zdenĕk Kasl

  • A simple visual navigation system for an UAV

    Tomas Krajnik;Matias Nitsche;Sol Pedre;Libor Preucil

  • 3D-vision based detection, localization, and sizing of broccoli heads in the field

    Keerthy Kusumam;Tomáš Krajník;Simon Pearson;Tom Duckett

  • Simple yet stable bearing-only navigation: Krajník et al.: Simple Yet Stable Bearing-Only Navigation

    Tomáš Krajník;Jan Faigl;Vojtěch Vonásek;Karel Košnar

  • The STRANDS Project: Long-Term Autonomy in Everyday Environments

    Nick Hawes;Chris Burbridge;Ferdian Jovan;Lars Kunze

Frequent Co-Authors

Tom Duckett
Tom Duckett University of Lincoln
Martin Saska
Martin Saska Czech Technical University in Prague
Giuseppe Loianno
Giuseppe Loianno New York University
Yassine Ruichek
Yassine Ruichek University of Technology of Belfort-Montbéliard
Vijay Kumar
Vijay Kumar University of Pennsylvania
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology
Bastian Leibe
Bastian Leibe RWTH Aachen University
Anthony G. Cohn
Anthony G. Cohn University of Leeds
David C. Hogg
David C. Hogg University of Leeds
Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich

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