Daniel Kappler

1.4k citations
22 papers · 697 · h-index 12

Impact in

Papers in

Daniel Kappler

22 papers receiving 658 citations

Peers

Daniel Kappler
Comparison fields: 5 of 60
  • Control and Systems Engineering 431
  • Computer Vision and Pattern Recognition 297
  • Human-Computer Interaction 61
  • Artificial Intelligence 202
  • Biomedical Engineering 200
Replace Kai Huebner with:
Kai Huebner Sweden
Minghao Gou China
Pedram Azad Germany
Bowen Wen United States
Xavi Gratal Sweden
Dov Katz United States
Douglas Morrison Australia
Ulrich Klank Germany
Kuan‐Ting Yu United States
Balakumar Sundaralingam United States
Daniel Kappler relative to Kai Huebner Sweden Kai Huebner's profile →
Citations per field
00.5×10×17×
Kai Huebner · 1×
Citations per year

Countries citing papers authored by Daniel Kappler

Since Specialization
Citations

This map shows the geographic impact of Daniel Kappler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Kappler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kappler more than expected).

Fields of papers citing papers by Daniel Kappler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Kappler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Kappler. The network helps show where Daniel Kappler may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Kappler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kappler Line = papers co-authored together Daniel Kappler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015175
2 202390
3 201689
4 201863
5 201638
6 201538
7 201133
8 201029
9 201629
10 201626
11 201124
12 201719
13 201611
14 20196
15 20115
16
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards
20204
17 20174
18 20174
19 20154
20 20183

About Daniel Kappler

Daniel Kappler is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 22 papers that have together received 697 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (12 papers), Reinforcement Learning in Robotics (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Robotic Mechanisms and Dynamics (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (431 citations), Computer Vision and Pattern Recognition (297 citations), Human-Computer Interaction (61 citations), Artificial Intelligence (202 citations) and Biomedical Engineering (200 citations). Daniel Kappler has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Stefan Schaal, Jeannette Bohg, Peter Gehler, Varun Jampani, Martin Kiefel, Raghudeep Gadde, Manuel Wüthrich, Tamim Asfour, Stefan Schaal and Franziska Meier. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Lecture notes in computer science and mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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