Tobias Kunz
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Mike StilmanMichael X. GreySumit JainC. Karen LiuYuting YeSiddhartha S SrinivasaSehoon HaUlrich Reiser
- Topics
- Robotic Path Planning Algorithms (9 papers)Robot Manipulation and Learning (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)SMARTech Repository (Georgia Institute of Technology)The Journal of Open Source Software
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Tobias Kunz
10 papers receiving 280 citations
Peers
Comparison fields: 5 of 50
- Control and Systems Engineering 190
- Computer Vision and Pattern Recognition 165
- Biomedical Engineering 89
- Artificial Intelligence 53
- Aerospace Engineering 45
Countries citing papers authored by Tobias Kunz
This map shows the geographic impact of Tobias Kunz'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 Tobias Kunz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Kunz more than expected).
Fields of papers citing papers by Tobias Kunz
This network shows the impact of papers produced by Tobias Kunz. 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 Tobias Kunz. The network helps show where Tobias Kunz may publish in the future.
Co-authorship network of co-authors of Tobias Kunz
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Kunz. A scholar is included among the top collaborators of Tobias Kunz 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 Tobias Kunz. Tobias Kunz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 161 | |
| 2 | 9 | |
| 3 | 32 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | Turning Paths Into Trajectories Using Parabolic Blends | 8 |
| 8 | 44 | |
| 9 | 19 | |
| 10 | Real-Time Motion Planning for a Robot Arm in Dynamic Environments | 2 |
About Tobias Kunz
Tobias Kunz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 10 papers that have together received 291 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Control and Systems Engineering (190 citations), Computer Vision and Pattern Recognition (165 citations) and Biomedical Engineering (89 citations). Tobias Kunz has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Mike Stilman, Michael X. Grey, Sumit Jain, C. Karen Liu, Yuting Ye, Siddhartha S Srinivasa, Sehoon Ha, Ulrich Reiser, Alexander Verl and Jiuguang Wang. Their work appears in journals such as Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft), SMARTech Repository (Georgia Institute of Technology) and The Journal of Open Source Software.
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.