Kai Welke
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Materials Chemistry
- Biomedical Engineering
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Tamim AsfourEmily B. MooreEzequiel de la LlaveDamián A. ScherlisValeria MolineroRüdiger DillmannNikolaus VahrenkampMarcus Elstner
- Topics
- Robot Manipulation and Learning (13 papers)Robotics and Sensor-Based Localization (10 papers)Photoreceptor and optogenetics research (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionControl and Systems Engineering
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Kai Welke
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Control and Systems Engineering 242
- Computer Vision and Pattern Recognition 229
- Materials Chemistry 209
- Biomedical Engineering 205
- Cellular and Molecular Neuroscience 149
Countries citing papers authored by Kai Welke
This map shows the geographic impact of Kai Welke'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 Welke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Welke more than expected).
Fields of papers citing papers by Kai Welke
This network shows the impact of papers produced by Kai Welke. 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 Welke. The network helps show where Kai Welke may publish in the future.
Co-authorship network of co-authors of Kai Welke
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Welke. A scholar is included among the top collaborators of Kai Welke 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 Welke. Kai Welke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 22 | |
| 3 | 48 | |
| 4 | 47 | |
| 5 | High-Level Robot Control with ArmarX. | 2 |
| 6 | 17 | |
| 7 | The ArmarX Framework - Supporting high level robot programming through state disclosure. | 5 |
| 8 | 23 | |
| 9 | 13 | |
| 10 | 58 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 40 | |
| 14 | 256 | |
| 15 | Grasping known objects with humanoid robots: A box-based approach | 31 |
| 16 | 19 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | 85 | |
| 20 | 11 |
About Kai Welke
Kai Welke is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotics and Sensor-Based Localization (10 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Human-Computer Interaction (58 citations) and Control and Systems Engineering (242 citations). Kai Welke has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Tamim Asfour, Emily B. Moore, Ezequiel de la Llave, Damián A. Scherlis, Valeria Molinero, Rüdiger Dillmann, Nikolaus Vahrenkamp, Marcus Elstner, Hiroshi Watanabe and Pedram Azad. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.
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.