Michael Otte
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 21
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- Optimization and Search Problems 10
- Distributed Control Multi-Agent Systems 8
- Co-authors
- Emilio FrazzoliDonald SofgeHans-Hellmut NagelHuan XuJeffrey W. HerrmannNikolaus CorrellShapour AzarmSertaç Karaman
- Journals
- IEEE Access (3 papers)The International Journal of Robotics Research (3 papers)Autonomous Robots (3 papers)IEEE Robotics and Automation Letters (2 papers)Artificial Intelligence (1 paper)
- Partner nations
- United StatesEstoniaSouth Korea
In The Last Decade
Michael Otte
35 papers receiving 631 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 419
- Aerospace Engineering 262
- Computer Networks and Communications 240
- Control and Systems Engineering 138
- Industrial and Manufacturing Engineering 47
Countries citing papers authored by Michael Otte
This map shows the geographic impact of Michael Otte'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 Michael Otte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Otte more than expected).
Fields of papers citing papers by Michael Otte
This network shows the impact of papers produced by Michael Otte. 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 Michael Otte. The network helps show where Michael Otte may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Michael Otte, 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 | 2023 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 0 | |
| 6 | 2020 | 6 | |
| 7 | 2018 | 4 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 23 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 17 | |
| 14 | 2015 | 155 | |
| 15 | 2013 | 18 | |
| 16 | Any-com multi-robot path planning | 2011 | 10 |
| 17 | Path Planning with Forests of Random Trees: Parallelization with Super Linear Speedup ; CU-CS-1079-11 | 2011 | 5 |
| 18 | 2009 | 5 | |
| 19 | 2007 | 14 | |
| 20 | 1995 | 52 |
About Michael Otte
Michael Otte is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Aerospace Engineering and Software, having authored 39 papers that have together received 653 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (21 papers), Robotics and Sensor-Based Localization (12 papers), Optimization and Search Problems (10 papers), Distributed Control Multi-Agent Systems (8 papers), Modular Robots and Swarm Intelligence (7 papers), Machine Learning and Algorithms (4 papers), Multi-Agent Systems and Negotiation (3 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (419 citations), Aerospace Engineering (262 citations), Computer Networks and Communications (240 citations), Control and Systems Engineering (138 citations) and Industrial and Manufacturing Engineering (47 citations). Michael Otte has collaborated with scholars based in United States, Estonia and South Korea. Frequent co-authors include Emilio Frazzoli, Donald Sofge, Hans-Hellmut Nagel, Huan Xu, Jeffrey W. Herrmann, Nikolaus Correll, Shapour Azarm, Sertaç Karaman, Jane Mulligan and Gregory Z. Grudić. Their work appears in journals such as IEEE Access, The International Journal of Robotics Research, Autonomous Robots, IEEE Robotics and Automation Letters and Artificial Intelligence.
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.