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

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 74 710 677 10 10 387 22287
Computer Science 74 1491 1446 3 3 430 22608

Danica Kragic publications per year

The chart shows the history of publications by Danica Kragic between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Danica Kragic published across 27 years, from 1999 to 2025, averaging 19.7 papers a year. Output peaked at 39 publications in 2024. 69 of the 532 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2024. 1999: 3 publications 2000: 3 publications 2001: 3 publications 2002: 6 publications 2003: 9 publications 2004: 10 publications 2005: 14 publications 2006: 16 publications 2007: 15 publications 2008: 16 publications 2009: 17 publications 2010: 32 publications 2011: 30 publications 2012: 29 publications 2013: 33 publications 2014: 18 publications 2015: 17 publications 2016: 28 publications 2017: 18 publications 2018: 16 publications 2019: 27 publications 2020: 23 publications 2021: 30 publications 2022: 22 publications 2023: 28 publications 2024: 39 publications 2025: 30 publications
1999 2025

532 publications in total across all disciplines

View publications per year as a table
Danica Kragic: publications per year, 1999 to 2025
Year Publications
1999 3
2000 3
2001 3
2002 6
2003 9
2004 10
2005 14
2006 16
2007 15
2008 16
2009 17
2010 32
2011 30
2012 29
2013 33
2014 18
2015 17
2016 28
2017 18
2018 16
2019 27
2020 23
2021 30
2022 22
2023 28
2024 39
2025 30
Total 532
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 374–393 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187 387
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 74 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38 74
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

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 Electronics and Electrical Engineering opens up diverse career pathways. Many students find value in flexible learning options, such as online school for military spouses, which offers tailored programs that accommodate demanding schedules and unique circumstances.

For those eager to start their education immediately, institutions with online colleges starting this month provide the opportunity to kick off studies without long waits. This flexibility is particularly beneficial for students balancing work or personal commitments.

Additionally, short-term options like 6-month certificate programs that pay well allow students to quickly gain practical skills and enter the workforce in high-demand areas within electronics and electrical engineering sectors.

For those who prefer independent or focused work environments, exploring careers for introverts within this field can reveal rewarding roles that align with personal strengths. This thoughtful approach to career planning can ensure a great fit between personality and professional growth.

Best Scientists Citing Danica Kragic

Trending Scientists

Recently Published Articles