World's Best Scientists 2026 revealed!
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Computer Science
Sweden
2026
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Electronics and Electrical Engineering
Sweden
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
74
Citations
22287
World Ranking
710
National Ranking
10

Computer Science

D-Index
74
Citations
22608
World Ranking
1491
National Ranking
3

Danica Kragic publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Danica Kragic sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 387 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Danica Kragic D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Danica Kragic sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Sweden Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2025 - Research.com Computer Science in Sweden Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2023 - Research.com Computer Science in Sweden Leader Award
  • 2022 - Research.com Computer Science in Sweden Leader Award
  • 2016 - IEEE Fellow For contributions to vision-based systems and robotic object manipulation

Overview

Danica Kragic is affiliated with the Royal Institute of Technology in Sweden. Their primary research spans across computer science and engineering, with significant contributions to control and systems engineering, artificial intelligence, and computer vision and pattern recognition. The scientist's work also extends into biomedical engineering and cognitive neuroscience.

The main topics of research for Danica Kragic include robot manipulation and learning, with 74 publications; reinforcement learning in robotics, with 40 publications; human pose and action recognition; human motion and animation; domain adaptation and few-shot learning; 3D shape modeling and analysis; and robotic path planning algorithms.

Frequent publication venues in which Danica Kragic has contributed include:

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

Coauthors frequently collaborating with Danica Kragic consist of Michael C. Welle, Mårten Björkman, Anastasiia Varava, Hang Yin, and Petra Poklukar.

Recent papers authored or coauthored by Danica Kragic include:

  • Combating COVID-19-The role of robotics in managing public health and infectious diseases, 2020, Science Robotics
  • Modeling, learning, perception, and control methods for deformable object manipulation, 2021, Science Robotics
  • Deep Learning Approaches to Grasp Synthesis: A Review, 2023, IEEE Transactions on Robotics
  • Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review, 2020, Frontiers in Robotics and AI
  • Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement, 2024, Nature Communications

Danica Kragic was awarded the IEEE Fellow distinction in 2016 for contributions to vision-based systems and robotic object manipulation.

Best Publications

  • Data-Driven Grasp Synthesis—A Survey

    Jeannette Bohg;Antonio Morales;Tamim Asfour;Danica Kragic

  • The GRASP Taxonomy of Human Grasp Types

    Thomas Feix;Javier Romero;Heinz-Bodo Schmiedmayer;Aaron M. Dollar

  • Trends and challenges in robot manipulation

    Aude Billard;Danica Kragic

  • IEEE International Conference on Robotics and Automation (ICRA)

    Johannes A Stork;Carl Henrik Ek;Yasemin Bekiroglu;Danica Kragic

  • IEEE/RSJ International Conference on Intelligent Robots and Systems

    Marianna Madry;Heydar Maboudi Afkham;Carl Henrik Ek;Stefan Carlsson

  • Short survey: Dual arm manipulation-A survey

    Christian Smith;Yiannis Karayiannidis;Lazaros Nalpantidis;Xavi Gratal

  • Combating COVID-19-The role of robotics in managing public health and infectious diseases.

    Guang-Zhong Yang;Bradley J. Nelson;Robin R. Murphy;Howie Choset

  • Deep Representation Learning for Human Motion Prediction and Classification

    Judith Butepage;Michael J. Black;Danica Kragic;Hedvig Kjellstrom

  • Interactive Perception: Leveraging Action in Perception and Perception in Action

    Jeannette Bohg;Karol Hausman;Bharath Sankaran;Oliver Brock

  • Survey on Visual Servoing for Manipulation

    Danica Kragic;Henrik I Christensen

  • Visual object-action recognition: Inferring object affordances from human demonstration

    Hedvig Kjellström;Javier Romero;Danica Kragić

  • Modeling, learning, perception, and control methods for deformable object manipulation

    Hang Yin;Anastasia Varava;Danica Kragic

  • Deep Learning Approaches to Grasp Synthesis: A Review

    Unknown

  • Design of a flexible tactile sensor for classification of rigid and deformable objects

    Alin Drimus;Gert Kootstra;Arne Bilberg;Danica Kragic

  • Minimum volume bounding box decomposition for shape approximation in robot grasping

    K. Huebner;S. Ruthotto;D. Kragic

  • Assessing Grasp Stability Based on Learning and Haptic Data

    Yasemin Bekiroglu;Janne Laaksonen;Jimmy Alison Jorgensen;Ville Kyrki

  • The meaning of action: a review on action recognition and mapping

    Volker Krüger;Danica Kragic;Aleš Ude;Christopher Geib

  • Retracted: Human-Machine Collaborative Systems for Microsurgical Applications

    Danica Kragic;Panadda Marayong;Ming Li;Allison M. Okamura

  • Grasp Recognition for Programming by Demonstration

    S. Ekvall;D. Kragic

  • Learning grasping points with shape context

    Jeannette Bohg;Danica Kragic

  • Interactive grasp learning based on human demonstration

    S. Ekvall;D. Kragic

  • IEEE International Conference on Robotics and Automation

    Mitesh Patel;Carl Henrik Ek;Nikolaos Kyriazis;Antonis Argyros

  • IEEE-RAS International Conference on Humanoid Robots

    Niklas Bergström;Carl Henrik Ek;Danica Kragic;Yuji Yamakawa

Frequent Co-Authors

Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
Jeannette Bohg
Jeannette Bohg Stanford University
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology
Javier Romero
Javier Romero Facebook (United States)
Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
Norbert Krüger
Norbert Krüger University of Southern Denmark
Gregory D. Hager
Gregory D. Hager Johns Hopkins University
Ken Goldberg
Ken Goldberg University of California, Berkeley
Aude Billard
Aude Billard École Polytechnique Fédérale de Lausanne
Xiaoming Hu
Xiaoming Hu Royal Institute of Technology

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