Andreas Orthey

427 total citations
12 papers, 178 citations indexed

About

Andreas Orthey is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Andreas Orthey has authored 12 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Andreas Orthey's work include Robotic Path Planning Algorithms (11 papers), Robot Manipulation and Learning (7 papers) and AI-based Problem Solving and Planning (5 papers). Andreas Orthey is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Robot Manipulation and Learning (7 papers) and AI-based Problem Solving and Planning (5 papers). Andreas Orthey collaborates with scholars based in Germany, United States and France. Andreas Orthey's co-authors include Marc Toussaint, Lydia E. Kavraki, Danny Driess, Ozgur S. Oguz, Zachary Kingston, Michael Gleicher, Carlos Quintero, Daniel Rakita, Eiichi Yoshida and Adrien Escande and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.

In The Last Decade

Andreas Orthey

11 papers receiving 173 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Orthey Germany 6 117 92 42 40 25 12 178
Jung-Su Ha South Korea 10 104 0.9× 115 1.3× 53 1.3× 54 1.4× 22 0.9× 27 216
Julian Nubert Switzerland 5 66 0.6× 129 1.4× 29 0.7× 69 1.7× 36 1.4× 10 260
Juan-Manuel Ahuactzin Mexico 6 160 1.4× 137 1.5× 36 0.9× 82 2.0× 15 0.6× 10 211
S. Julius Fusic India 9 82 0.7× 34 0.4× 14 0.3× 41 1.0× 13 0.5× 36 178
Tomasz Kornuta Poland 8 90 0.8× 83 0.9× 25 0.6× 31 0.8× 72 2.9× 33 171
Bokui Shen United States 5 121 1.0× 48 0.5× 36 0.9× 44 1.1× 11 0.4× 12 170
Toki Migimatsu United States 7 98 0.8× 125 1.4× 115 2.7× 9 0.2× 24 1.0× 12 253
Marco Morales United States 9 165 1.4× 69 0.8× 30 0.7× 97 2.4× 26 1.0× 28 202
Marek Fišer United States 5 106 0.9× 36 0.4× 79 1.9× 50 1.3× 13 0.5× 8 176
Eric Heiden United States 6 131 1.1× 66 0.7× 32 0.8× 130 3.3× 30 1.2× 16 236

Countries citing papers authored by Andreas Orthey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andreas Orthey

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Orthey. A scholar is included among the top collaborators of Andreas Orthey 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 Andreas Orthey. Andreas Orthey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Orthey, Andreas, et al.. (2023). Sampling-Based Motion Planning: A Comparative Review. 7(1). 285–310. 39 indexed citations
2.
Orthey, Andreas, et al.. (2023). Multilevel motion planning: A fiber bundle formulation. The International Journal of Robotics Research. 43(1). 3–33. 4 indexed citations
3.
Orthey, Andreas, et al.. (2023). Solving Rearrangement Puzzles Using Path Defragmentation in Factored State Spaces. IEEE Robotics and Automation Letters. 8(8). 4529–4536. 1 indexed citations
4.
Orthey, Andreas, et al.. (2023). Sampling-Based Motion Planning: A Comparative Review. arXiv (Cornell University). 1 indexed citations
5.
Toussaint, Marc, et al.. (2022). BITKOMO: Combining Sampling and Optimization for Fast Convergence in Optimal Motion Planning. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4492–4497. 6 indexed citations
6.
Orthey, Andreas, et al.. (2022). Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly. IEEE Transactions on Robotics. 39(1). 239–252. 58 indexed citations
7.
Orthey, Andreas, et al.. (2022). Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs. IEEE Robotics and Automation Letters. 7(4). 10160–10167. 3 indexed citations
8.
Orthey, Andreas, et al.. (2022). ST-RRT*: Asymptotically-Optimal Bidirectional Motion Planning through Space-Time. 2022 International Conference on Robotics and Automation (ICRA). 3314–3320. 12 indexed citations
9.
Quintero, Carlos, Zachary Kingston, Andreas Orthey, et al.. (2021). MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets. IEEE Robotics and Automation Letters. 7(2). 882–889. 37 indexed citations
10.
Orthey, Andreas, Adrien Escande, & Eiichi Yoshida. (2018). Quotient-Space Motion Planning. arXiv (Cornell University). 8089–8096. 11 indexed citations
11.
Orthey, Andreas, et al.. (2018). Motion planning in Irreducible Path Spaces. Robotics and Autonomous Systems. 109. 97–108. 3 indexed citations
12.
Orthey, Andreas, Marc Toussaint, & Nikolay Jetchev. (2013). Optimizing motion primitives to make symbolic models more predictive. 3242. 2868–2873. 3 indexed citations

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.

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