Daniel Kappler
Impact in
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- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
Papers in
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- Robot Manipulation and Learning 15
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- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Stefan Schaal (9 shared papers)Jeannette Bohg (9 shared papers)Peter Gehler (2 shared papers)Manuel Wüthrich (4 shared papers)Martin Kiefel (1 shared paper)Varun Jampani (1 shared paper)Raghudeep Gadde (1 shared paper)Stefan Schaal (4 shared papers)
- Journals
- Robotics and Autonomous Systems (2 papers)Big Data (1 paper)The International Journal of Robotics Research (1 paper)IEEE Robotics and Automation Letters (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Kappler
27 papers receiving 745 citations
Peers
Comparison fields: 5 of 62
- Control and Systems Engineering 482
- Computer Vision and Pattern Recognition 328
- Human-Computer Interaction 74
- Artificial Intelligence 223
- Biomedical Engineering 223
Countries citing papers authored by Daniel Kappler
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
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.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2023 | 101 | |
| 3 | 2016 | 95 | |
| 4 | 2018 | 71 | |
| 5 | 2015 | 42 | |
| 6 | 2016 | 42 | |
| 7 | 2011 | 33 | |
| 8 | 2016 | 33 | |
| 9 | 2016 | 28 | |
| 10 | 2010 | 27 | |
| 11 | 2011 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2015 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2011 | 4 |
About Daniel Kappler
Daniel Kappler is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Business and International Management and Human-Computer Interaction, having authored 27 papers that have together received 781 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (15 papers), Reinforcement Learning in Robotics (7 papers), Advanced Image and Video Retrieval Techniques (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Muscle activation and electromyography studies (3 papers), Robotics and Sensor-Based Localization (3 papers) and Innovation and Socioeconomic Development (2 papers). The work is most often cited by research in Control and Systems Engineering (482 citations), Computer Vision and Pattern Recognition (328 citations), Human-Computer Interaction (74 citations), Artificial Intelligence (223 citations) and Biomedical Engineering (223 citations). Daniel Kappler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Schaal, Jeannette Bohg, Peter Gehler, Manuel Wüthrich, Martin Kiefel, Varun Jampani, Raghudeep Gadde, Stefan Schaal, Nathan Ratliff and Franziska Meier. Their work appears in journals such as Robotics and Autonomous Systems, Big Data, The International Journal of Robotics Research, IEEE Robotics and Automation Letters and Lecture notes in computer science.
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.