Andreas Orthey
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Path Planning Algorithms 11
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- Robot Manipulation and Learning 7
- Robotic Mechanisms and Dynamics 2
- Human Motion and Animation 1
- Co-authors
- Marc Toussaint (8 shared papers)Lydia E. Kavraki (4 shared papers)Danny Driess (1 shared paper)Ozgur S. Oguz (1 shared paper)Carlos Quintero (1 shared paper)Michael Gleicher (1 shared paper)Daniel Rakita (1 shared paper)Zachary Kingston (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Robotics and Autonomous Systems (1 paper)IEEE Transactions on Robotics (1 paper)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Andreas Orthey
11 papers receiving 173 citations
Peers
Comparison fields: 5 of 32
- Computer Vision and Pattern Recognition 117
- Control and Systems Engineering 92
- Industrial and Manufacturing Engineering 19
- Computer Graphics and Computer-Aided Design 6
- Aerospace Engineering 40
Countries citing papers authored by Andreas Orthey
This map shows the geographic impact of Andreas Orthey'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 Andreas Orthey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Orthey more than expected).
Fields of papers citing papers by Andreas Orthey
This network shows the impact of papers produced by Andreas Orthey. 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 Andreas Orthey. The network helps show where Andreas Orthey may publish in the future.
Co-authors
The 15 scholars most cited alongside Andreas Orthey, 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 | 2022 | 58 | |
| 2 | 2023 | 39 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 12 | |
| 5 | 2018 | 11 | |
| 6 | 2022 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2013 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 |
About Andreas Orthey
Andreas Orthey is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Mechanical Engineering, having authored 12 papers that have together received 178 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robot Manipulation and Learning (7 papers), AI-based Problem Solving and Planning (5 papers), Robotics and Sensor-Based Localization (4 papers), Robotic Mechanisms and Dynamics (2 papers), Modular Robots and Swarm Intelligence (2 papers), Reinforcement Learning in Robotics (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (117 citations), Control and Systems Engineering (92 citations), Industrial and Manufacturing Engineering (19 citations), Computer Graphics and Computer-Aided Design (6 citations) and Aerospace Engineering (40 citations). Andreas Orthey has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Marc Toussaint, Lydia E. Kavraki, Danny Driess, Ozgur S. Oguz, Carlos Quintero, Michael Gleicher, Daniel Rakita, Zachary Kingston, Eiichi Yoshida and Adrien Escande. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IEEE Transactions on Robotics, The International Journal of Robotics Research and arXiv (Cornell University).
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.