Robin Ritz
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 5%
- Guidance and Control Systems
- Robotics and Sensor-Based Localization
- Aerospace and Aviation Technology
- UAV Applications and Optimization
Papers in
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- Adaptive Control of Nonlinear Systems 5
- Control and Dynamics of Mobile Robots 2
- Iterative Learning Control Systems 1
- Robotic Mechanisms and Dynamics 1
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- Guidance and Control Systems 3
- Aerospace and Aviation Technology 2
- Aerospace Engineering and Control Systems 1
- Co-authors
- Raffaello D’Andrea (6 shared papers)Markus Hehn (2 shared papers)Lorenz Meier (1 shared paper)Marc Pollefeys (1 shared paper)Maximilian Schulz (1 shared paper)Federico Augugliaro (1 shared paper)
- Journals
- Autonomous Robots (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Robin Ritz
7 papers receiving 318 citations
Peers
Comparison fields: 5 of 35
- Computer Vision and Pattern Recognition 188
- Aerospace Engineering 215
- Control and Systems Engineering 165
- Computer Networks and Communications 76
- Ocean Engineering 21
Countries citing papers authored by Robin Ritz
This map shows the geographic impact of Robin Ritz'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 Robin Ritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Ritz more than expected).
Fields of papers citing papers by Robin Ritz
This network shows the impact of papers produced by Robin Ritz. 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 Robin Ritz. The network helps show where Robin Ritz may publish in the future.
Co-authors
The 6 scholars most cited alongside Robin Ritz, 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 | 2012 | 95 | |
| 2 | 2012 | 65 | |
| 3 | 2013 | 60 | |
| 4 | 2015 | 48 | |
| 5 | 2017 | 39 | |
| 6 | 2015 | 18 | |
| 7 | 2014 | 3 |
About Robin Ritz
Robin Ritz is a scholar working on Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Infectious Diseases, having authored 7 papers that have together received 328 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (5 papers), Guidance and Control Systems (3 papers), Robotic Path Planning Algorithms (2 papers), Aerospace and Aviation Technology (2 papers), Control and Dynamics of Mobile Robots (2 papers), Iterative Learning Control Systems (1 paper), Robotic Mechanisms and Dynamics (1 paper) and Aerospace Engineering and Control Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Aerospace Engineering (215 citations), Control and Systems Engineering (165 citations), Computer Networks and Communications (76 citations) and Ocean Engineering (21 citations). Robin Ritz has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Raffaello D’Andrea, Markus Hehn, Lorenz Meier, Marc Pollefeys, Maximilian Schulz and Federico Augugliaro. Their work appears in journals such as Autonomous Robots.
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.