Kai Huebner
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Co-authors
- Danica KragićDan SongCarl Henrik EkMårten BjörkmanVille KyrkiKai WelkeRüdiger DillmannYasemin Bekiroglu
- Topics
- Robot Manipulation and Learning (14 papers)Robotics and Sensor-Based Localization (6 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputer Vision and Pattern Recognition
In The Last Decade
Kai Huebner
22 papers receiving 545 citations
Peers
Comparison fields: 5 of 42
- Control and Systems Engineering 474
- Computer Vision and Pattern Recognition 240
- Biomedical Engineering 194
- Artificial Intelligence 114
- Aerospace Engineering 110
Countries citing papers authored by Kai Huebner
This map shows the geographic impact of Kai Huebner'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 Kai Huebner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Huebner more than expected).
Fields of papers citing papers by Kai Huebner
This network shows the impact of papers produced by Kai Huebner. 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 Kai Huebner. The network helps show where Kai Huebner may publish in the future.
Co-authorship network of co-authors of Kai Huebner
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Huebner. A scholar is included among the top collaborators of Kai Huebner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Huebner. Kai Huebner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 10 | |
| 3 | 12 | |
| 4 | 40 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | Exploring affordances in robot grasping through latent structure representation | 4 |
| 8 | 5 | |
| 9 | 68 | |
| 10 | ECCV Workshop on Vision for Cognitive Tasks | 2 |
| 11 | Grasping known objects with humanoid robots: A box-based approach | 31 |
| 12 | 15 | |
| 13 | 78 | |
| 14 | 17 | |
| 15 | 86 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 3 |
About Kai Huebner
Kai Huebner is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 22 papers that have together received 583 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Robotics and Sensor-Based Localization (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Control and Systems Engineering (474 citations), Human-Computer Interaction (87 citations) and Computer Vision and Pattern Recognition (240 citations). Kai Huebner has collaborated with scholars based in Sweden, Germany and Romania. Frequent co-authors include Danica Kragić, Dan Song, Carl Henrik Ek, Mårten Björkman, Ville Kyrki, Kai Welke, Rüdiger Dillmann, Yasemin Bekiroglu, Tamim Asfour and Markus Przybylski. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.
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.