Markus Ryll
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 18
- Human Pose and Action Recognition 3
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- Adaptive Control of Nonlinear Systems 13
- Control and Dynamics of Mobile Robots 6
- Co-authors
- Paolo Robuffo Giordano (6 shared papers)HH Bülthoff (6 shared papers)Antonio Franchi (9 shared papers)Davide Bicego (5 shared papers)Cristian Secchi (1 shared paper)Tim Salzmann (4 shared papers)Marco Pavone (2 shared papers)Giulia Michieletto (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (2 papers)Skin Research and Technology (1 paper)IEEE Robotics & Automation Magazine (1 paper)IEEE Transactions on Robotics (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Markus Ryll
29 papers receiving 1.3k citations
Markus Ryll's Hit Papers
Peers
Comparison fields: 5 of 78
- Control and Systems Engineering 845
- Computer Vision and Pattern Recognition 588
- Aerospace Engineering 573
- Computer Networks and Communications 291
- Ocean Engineering 110
Countries citing papers authored by Markus Ryll
This map shows the geographic impact of Markus Ryll'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 Markus Ryll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Ryll more than expected).
Fields of papers citing papers by Markus Ryll
This network shows the impact of papers produced by Markus Ryll. 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 Markus Ryll. The network helps show where Markus Ryll may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Ryll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Novel Overactuated Quadrotor Unmanned Aerial Vehicle: Modeling, Control, and Experimental Validation Hit paper breakdown → | 2014 | 296 |
| 2 | 2012 | 180 | |
| 3 | 2012 | 151 | |
| 4 | 2019 | 123 | |
| 5 | 2016 | 121 | |
| 6 | Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms Hit paper breakdown → | 2023 | 100 |
| 7 | 2012 | 80 | |
| 8 | 2018 | 74 | |
| 9 | 2019 | 43 | |
| 10 | 2022 | 30 | |
| 11 | 2013 | 28 | |
| 12 | 2022 | 27 | |
| 13 | 2018 | 18 | |
| 14 | 2022 | 15 | |
| 15 | 2013 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2022 | 7 | |
| 20 | 2018 | 5 |
About Markus Ryll
Markus Ryll is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Computer Networks and Communications and Biomedical Engineering, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (18 papers), Adaptive Control of Nonlinear Systems (13 papers), Robotics and Sensor-Based Localization (8 papers), Control and Dynamics of Mobile Robots (6 papers), Soft Robotics and Applications (4 papers), Underwater Vehicles and Communication Systems (3 papers), Human Pose and Action Recognition (3 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (845 citations), Computer Vision and Pattern Recognition (588 citations), Aerospace Engineering (573 citations), Computer Networks and Communications (291 citations) and Ocean Engineering (110 citations). Markus Ryll has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Paolo Robuffo Giordano, HH Bülthoff, Antonio Franchi, Davide Bicego, Cristian Secchi, Tim Salzmann, Marco Pavone, Giulia Michieletto, Elia Kaufmann and Davide Scaramuzza. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Skin Research and Technology, IEEE Robotics & Automation Magazine and IEEE Transactions on Robotics.
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.