World's Best Scientists 2026 revealed!
Henrik Andreasson

Henrik Andreasson

D-Index & Metrics

Computer Science

D-Index
31
Citations
3165
World Ranking
13769
National Ranking
105

Henrik Andreasson 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 Henrik Andreasson 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Henrik Andreasson 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 Henrik Andreasson 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Henrik Andreasson is affiliated with Örebro University in Sweden and has contributed extensively to research in engineering and computer science. Their work spans a range of subfields, with a focus on aerospace engineering, plant science, environmental engineering, computer vision and pattern recognition, and electrical and electronic engineering.

The primary topics of Andreasson's research include robotics and sensor-based localization, remote sensing and LiDAR applications, indoor and outdoor localization technologies, robotic path planning algorithms, smart agriculture and artificial intelligence, computational geometry and mesh generation, and advanced vision and imaging.

Andreasson's recent publications demonstrate an active engagement with robotics and localization technologies. Notable papers include:

  • "CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry," 2021, published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments," 2022, IEEE Transactions on Robotics
  • "Point Set Registration for 3D Range Scans Using Fuzzy Cluster-Based Metric and Efficient Global Optimization," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "TBV Radar SLAM - Trust but Verify Loop Candidates," 2023, IEEE Robotics and Automation Letters
  • "Online Task Assignment and Coordination in Multi-Robot Fleets," 2021, IEEE Robotics and Automation Letters

Frequent co-authors in Andreasson's work include Daniel Adolfsson, Achim J. Lilienthal, Martin Magnusson, Anas Alhashimi, and Ajay Arunachalam. This collaboration network highlights a consistent engagement with researchers active in robotics and automation.

Andreasson's research findings have frequently appeared in established publication venues, including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Sensors
  • IEEE Transactions on Robotics
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

  • Fast and accurate scan registration through minimization of the distance between compact 3D NDT representations

    Todor Dimitrov Stoyanov;Martin Magnusson;Henrik Andreasson;Achim Lilienthal

  • 3D modeling of indoor environments by a mobile robot with a laser scanner and panoramic camera

    P. Biber;H. Andreasson;T. Duckett;A. Schilling

  • That’s on my mind! robot to human intention communication through on-board projection on shared floor space

    Ravi Teja Chadalavada;Henrik Andreasson;Robert Krug;Achim J. Lilienthal

  • Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter

    H. Andreasson;A. Treptow;T. Duckett

  • Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT

    Hashem Tamimi;Henrik Andreasson;André Treptow;Tom Duckett

  • Appearance-based loop detection from 3D laser data using the normal distributions transform

    Martin Magnusson;Henrik Andreasson;Andreas Nuchter;Achim J. Lilienthal

  • Normal distributions transform Monte-Carlo localization (NDT-MCL)

    Jari Saarinen;Henrik Andreasson;Todor Stoyanov;Achim J. Lilienthal

  • Normal Distributions Transform Occupancy Maps: Application to large-scale online 3D mapping

    Jari Saarinen;Henrik Andreasson;Todor Stoyanov;Juha Ala-Luhtala

  • 3D normal distributions transform occupancy maps: An efficient representation for mapping in dynamic environments

    Jari P. Saarinen;Henrik Andreasson;Todor Stoyanov;Achim J. Lilienthal

  • Autonomous Transport Vehicles: Where We Are and What Is Missing

    Henrik Andreasson;Abdelbaki Bouguerra;Marcello Cirillo;Dimitar Nikolaev Dimitrov

  • Independent Markov chain occupancy grid maps for representation of dynamic environment

    Jari Saarinen;Henrik Andreasson;Achim J. Lilienthal

  • Automatic appearance-based loop detection from three-dimensional laser data using the normal distributions transform

    Martin Magnusson;Henrik Andreasson;Andreas Nüchter;Achim J. Lilienthal

  • Has somethong changed here? Autonomous difference detection for security patrol robots

    H. Andreasson;M. Magnusson;A. Lilienthal

  • Comparative evaluation of range sensor accuracy in indoor environments

    Todor Stoyanov;Athanasia Louloudi;Henrik Andreasson;Achim J. Lilienthal

  • Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human–robot interaction

    Ravi Teja Chadalavada;Henrik Andreasson;Maike Schindler;Rainer Palm

  • Automatic appearance-based loop detection from three-dimensional laser data using the normal distributions transform: Magnusson et al.: Automatic Appearance-Based Loop Detection from 3D Laser Data Using NDT

    Martin Magnusson;Henrik Andreasson;Andreas Nüchter;Achim J. Lilienthal

  • Topological localization for mobile robots using omni-directional vision and local features

    Henrik Andreasson;Tom Duckett

  • Path planning in 3D environments using the Normal Distributions Transform

    Todor Stoyanov;Martin Magnusson;Henrik Andreasson;Achim J. Lilienthal

  • Mini-SLAM: Minimalistic Visual SLAM in Large-Scale Environments Based on a New Interpretation of Image Similarity

    H. Andreasson;T. Duckett;A. Lilienthal

  • The Next Step in Robot Commissioning: Autonomous Picking and Palletizing

    Robert Krug;Todor Stoyanov;Vinicio Tincani;Henrik Andreasson

  • Localization in highly dynamic environments using dual-timescale NDT-MCL

    Rafael Valencia;Jari Saarinen;Henrik Andreasson;Joan Vallvé

  • Comparative evaluation of range sensor accuracy for indoor mobile robotics and automated logistics applications

    Todor Stoyanov;Rasoul Mojtahedzadeh;Henrik Andreasson;Achim J. Lilienthal

  • A Minimalistic Approach to Appearance-Based Visual SLAM

    H. Andreasson;T. Duckett;A.J. Lilienthal

  • Omnidirectional 3D Modeling on a Mobile Robot using Graph Cuts

    S. Fleck;F. Busch;P. Biber;W. Strasser

  • Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments

    Unknown

Frequent Co-Authors

Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
Tom Duckett
Tom Duckett University of Lincoln
Andreas Nüchter
Andreas Nüchter University of Würzburg
Ingmar Posner
Ingmar Posner University of Oxford
Andreas Zell
Andreas Zell University of Tübingen
Juan Andrade-Cetto
Juan Andrade-Cetto Universitat Politècnica de Catalunya
Bastian Leibe
Bastian Leibe RWTH Aachen University
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology

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