R. Dillmann
Impact in
-
- Robot Manipulation and Learning
-
- Robotic Path Planning Algorithms
- Human Pose and Action Recognition
Papers in
-
- Robot Manipulation and Learning 2
-
- Advanced Image and Video Retrieval Techniques 1
- Robotic Path Planning Algorithms 1
- Co-authors
- Tamim Asfour (3 shared papers)P. Azad (2 shared papers)Nikolaus Vahrenkamp (1 shared paper)J. Schröder (1 shared paper)Alexander Bierbaum (1 shared paper)K. Regenstein (1 shared paper)Sebastian Brechtel (1 shared paper)Tobias Gindele (1 shared paper)
- Journals
- International Journal of Humanoid Robotics (1 paper)Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (1 paper)International Conference on Machine Learning (1 paper)
- Partner nations
- Germany
In The Last Decade
R. Dillmann
6 papers receiving 420 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 292
- Computer Vision and Pattern Recognition 159
- Human-Computer Interaction 30
- Biomedical Engineering 186
- Artificial Intelligence 101
Countries citing papers authored by R. Dillmann
This map shows the geographic impact of R. Dillmann'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 R. Dillmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Dillmann more than expected).
Fields of papers citing papers by R. Dillmann
This network shows the impact of papers produced by R. Dillmann. 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 R. Dillmann. The network helps show where R. Dillmann may publish in the future.
Co-authors
The 13 scholars most cited alongside R. Dillmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 299 | |
| 2 | 2008 | 88 | |
| 3 | Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation | 2013 | 24 |
| 4 | 2009 | 14 | |
| 5 | 2008 | 8 | |
| 6 | 2009 | 5 |
About R. Dillmann
R. Dillmann is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Social Psychology and Artificial Intelligence, having authored 6 papers that have together received 438 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (2 papers), Robotic Locomotion and Control (2 papers), Target Tracking and Data Fusion in Sensor Networks (1 paper), Machine Learning and Algorithms (1 paper), Robotics and Sensor-Based Localization (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Social Robot Interaction and HRI (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Control and Systems Engineering (292 citations), Computer Vision and Pattern Recognition (159 citations), Human-Computer Interaction (30 citations), Biomedical Engineering (186 citations) and Artificial Intelligence (101 citations). R. Dillmann has collaborated with scholars based in Germany. Frequent co-authors include Tamim Asfour, P. Azad, Nikolaus Vahrenkamp, J. Schröder, Alexander Bierbaum, K. Regenstein, Sebastian Brechtel, Tobias Gindele, Kai Welke and Steffen Knoop. Their work appears in journals such as International Journal of Humanoid Robotics, Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) and International Conference on Machine Learning.
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.