Markus Ryll

27 papers receiving 1.2k citations

Markus Ryll's Hit Papers

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms 2023 · 86 citations
860+4+8Years since publication50100150200250

Peers

Markus Ryll
Comparison fields: 5 of 74
  • Control and Systems Engineering 783
  • Computer Vision and Pattern Recognition 538
  • Aerospace Engineering 530
  • Computer Networks and Communications 263
  • Ocean Engineering 104
Replace Gian Luca Mariottini with:
Gian Luca Mariottini United States
Paul Pounds Australia
Patricio J. Cruz Ecuador
Matko Orsag Croatia
Ulises Orozco-Rosas Mexico
Yugang Liu Canada
Sergei Lupashin Switzerland
Christopher Korpela United States
Junhao Xiao China
Marco Tognon France
Markus Ryll relative to Gian Luca Mariottini United States Gian Luca Mariottini's profile →
Citations per field
00.5×10.8×
Gian Luca Mariottini · 1×
Citations per year

Countries citing papers authored by Markus Ryll

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Ryll Line = papers co-authored together Markus Ryll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 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 →
2014282
2 2012169
3 2012131
4 2019117
5 2016113
6
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
Hit paper breakdown →
202386
7 201273
8 201867
9 201939
10 201327
11
202226
12 202221
13 201816
14 201313
15 202213
16 202311
17 202210
18 20208
19 20227
20 20185

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 30 papers that have together received 1.3k 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), Teleoperation and Haptic Systems (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (783 citations), Computer Vision and Pattern Recognition (538 citations), Aerospace Engineering (530 citations), Computer Networks and Communications (263 citations) and Ocean Engineering (104 citations). Markus Ryll has collaborated with scholars based in Germany, United States and France. Frequent co-authors include HH Bülthoff, Paolo Robuffo Giordano, Antonio Franchi, Davide Bicego, Cristian Secchi, Tim Salzmann, Giulia Michieletto, Marco Pavone, Elisabetta Cataldi and Francesco Pierri. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Skin Research and Technology, IEEE Transactions on Robotics and IEEE Transactions on Control Systems Technology.

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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