D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 65 Citations 13,855 323 World Ranking 1158 National Ranking 4
Electronics and Electrical Engineering D-index 47 Citations 7,903 165 World Ranking 1334 National Ranking 19

Research.com Recognitions

Awards & Achievements

2016 - IEEE Fellow For contributions to vision-based systems and robotic object manipulation


What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Her primary areas of investigation include Artificial intelligence, Robot, Computer vision, Robotics and GRASP. The concepts of her Artificial intelligence study are interwoven with issues in Machine learning and Task. The various areas that Danica Kragic examines in her Robot study include Grippers, Identification, Artificial neural network and Set.

Her study looks at the relationship between Computer vision and topics such as Mobile robot, which overlap with Control theory. Her Robotics research is multidisciplinary, incorporating perspectives in Teleoperation, Visual servoing, Human–computer interaction and Tactile sensor. Her research integrates issues of Stability, Representation, Programming by demonstration and Haptic technology in her study of GRASP.

Her most cited work include:

  • Data-Driven Grasp Synthesis—A Survey (465 citations)
  • The GRASP Taxonomy of Human Grasp Types (304 citations)
  • Short survey: Dual arm manipulation-A survey (277 citations)

What are the main themes of her work throughout her whole career to date?

Artificial intelligence, Robot, Computer vision, Object and Robotics are her primary areas of study. Her Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Task, Human–computer interaction and GRASP. The study incorporates disciplines such as Programming by demonstration, Tactile sensor, Stability, Representation and Grippers in addition to GRASP.

Danica Kragic combines subjects such as Motion, Probabilistic logic and Reinforcement learning with her study of Robot. The study of Computer vision is intertwined with the study of Robustness in a number of ways. Her work deals with themes such as Representation, Segmentation and Set, which intersect with Object.

She most often published in these fields:

  • Artificial intelligence (78.35%)
  • Robot (40.24%)
  • Computer vision (40.24%)

What were the highlights of her more recent work (between 2019-2021)?

  • Artificial intelligence (78.35%)
  • Robot (40.24%)
  • Robotics (25.41%)

In recent papers she was focusing on the following fields of study:

Danica Kragic mainly investigates Artificial intelligence, Robot, Robotics, Task and Object. Danica Kragic does research in Artificial intelligence, focusing on Interpretability specifically. Her biological study spans a wide range of topics, including Motion, Computer vision, Probabilistic logic and Task analysis.

Her Computer vision research incorporates elements of Task oriented, Sequence and State space. Her Task research incorporates themes from Human–computer interaction, Adaptation and Reinforcement learning. Her Object research includes themes of GRASP, State, Hand manipulation, Task and Configuration space.

Between 2019 and 2021, her most popular works were:

  • Combating COVID-19-The role of robotics in managing public health and infectious diseases. (138 citations)
  • Benchmarking Bimanual Cloth Manipulation (11 citations)
  • Learning Task-Oriented Grasping From Human Activity Datasets (8 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Danica Kragic mainly focuses on Artificial intelligence, Robotics, Object, Robot and Human–computer interaction. Danica Kragic has researched Artificial intelligence in several fields, including Machine learning and Task. As a member of one scientific family, Danica Kragic mostly works in the field of Object, focusing on Benchmarking and, on occasion, Table, Measure and State.

Her Robot study combines topics from a wide range of disciplines, such as Probabilistic logic, Deep learning and Task analysis. Her Task analysis research includes elements of Visualization and Computer vision. Her Human–computer interaction research is multidisciplinary, relying on both Video tracking and Motion planning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Data-Driven Grasp Synthesis—A Survey

Jeannette Bohg;Antonio Morales;Tamim Asfour;Danica Kragic.
IEEE Transactions on Robotics (2014)

705 Citations

The GRASP Taxonomy of Human Grasp Types

Thomas Feix;Javier Romero;Heinz-Bodo Schmiedmayer;Aaron M. Dollar.
IEEE Transactions on Human-Machine Systems (2016)

470 Citations

Short survey: Dual arm manipulation-A survey

Christian Smith;Yiannis Karayiannidis;Lazaros Nalpantidis;Xavi Gratal.
Robotics and Autonomous Systems (2012)

421 Citations

IEEE/RSJ International Conference on Intelligent Robots and Systems

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

306 Citations

Survey on Visual Servoing for Manipulation

Danica Kragic;Henrik I Christensen.
usenix annual technical conference (2002)

288 Citations

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

Hedvig Kjellström;Javier Romero;Danica Kragić.
Computer Vision and Image Understanding (2011)

256 Citations

Minimum volume bounding box decomposition for shape approximation in robot grasping

K. Huebner;S. Ruthotto;D. Kragic.
international conference on robotics and automation (2008)

216 Citations

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

Volker Krüger;Danica Kragic;Aleš Ude;Christopher Geib.
Advanced Robotics (2007)

212 Citations

Deep Representation Learning for Human Motion Prediction and Classification

Judith Butepage;Michael J. Black;Danica Kragic;Hedvig Kjellstrom.
computer vision and pattern recognition (2017)

211 Citations

Human-Machine Collaborative Systems for Microsurgical Applications

Danica Kragic;Panadda Marayong;Ming Li;Allison M. Okamura.
international symposium on robotics (2005)

201 Citations

Best Scientists Citing Danica Kragic

Tamim Asfour

Tamim Asfour

Karlsruhe Institute of Technology

Publications: 56

Kensuke Harada

Kensuke Harada

Osaka University

Publications: 49

Norbert Krüger

Norbert Krüger

University of Southern Denmark

Publications: 48

Fuchun Sun

Fuchun Sun

Tsinghua University

Publications: 43

Justus Piater

Justus Piater

University of Innsbruck

Publications: 38

Jan Peters

Jan Peters

TU Darmstadt

Publications: 35

Florentin Wörgötter

Florentin Wörgötter

University of Göttingen

Publications: 32

Michael Beetz

Michael Beetz

University of Bremen

Publications: 31

Peter K. Allen

Peter K. Allen

Columbia University

Publications: 31

Wolfram Burgard

Wolfram Burgard

University of Freiburg

Publications: 29

Sergey Levine

Sergey Levine

University of California, Berkeley

Publications: 28

Patric Jensfelt

Patric Jensfelt

Royal Institute of Technology

Publications: 26

Aude Billard

Aude Billard

École Polytechnique Fédérale de Lausanne

Publications: 25

Henrik I. Christensen

Henrik I. Christensen

University of California, San Diego

Publications: 24

Juergen Gall

Juergen Gall

University of Bonn

Publications: 23

Sylvain Calinon

Sylvain Calinon

Idiap Research Institute

Publications: 23

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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