Nicolas Staub
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 3
- Advanced Image and Video Retrieval Techniques 1
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 3
- Guidance and Control Systems 1
- Co-authors
- Antonio Franchi (4 shared papers)Viktor Walter (2 shared papers)Martin Saska (2 shared papers)Quentin Sablé (1 shared paper)Marco Tognon (1 shared paper)Davide Bicego (1 shared paper)Hyunsoo Yang (1 shared paper)Mostafa Mohammadi (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)IEEE Robotics & Automation Magazine (1 paper)The International Journal of Robotics Research (1 paper)
- Partner nations
- FranceCzechiaNetherlands
In The Last Decade
Nicolas Staub
4 papers receiving 214 citations
Peers
Comparison fields: 5 of 31
- Aerospace Engineering 154
- Computer Vision and Pattern Recognition 113
- Computer Networks and Communications 78
- Control and Systems Engineering 59
- Ocean Engineering 21
Countries citing papers authored by Nicolas Staub
This map shows the geographic impact of Nicolas Staub'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 Nicolas Staub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Staub more than expected).
Fields of papers citing papers by Nicolas Staub
This network shows the impact of papers produced by Nicolas Staub. 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 Nicolas Staub. The network helps show where Nicolas Staub may publish in the future.
Co-authors
The 11 scholars most cited alongside Nicolas Staub, 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 | 2019 | 97 | |
| 2 | 2021 | 80 | |
| 3 | 2018 | 27 | |
| 4 | 2018 | 23 |
About Nicolas Staub
Nicolas Staub is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Mechanical Engineering and Biomedical Engineering, having authored 4 papers that have together received 227 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Soft Robotics and Applications (1 paper), Advanced Vision and Imaging (1 paper), Modular Robots and Swarm Intelligence (1 paper), Distributed Control Multi-Agent Systems (1 paper) and Guidance and Control Systems (1 paper). The work is most often cited by research in Aerospace Engineering (154 citations), Computer Vision and Pattern Recognition (113 citations), Computer Networks and Communications (78 citations), Control and Systems Engineering (59 citations) and Ocean Engineering (21 citations). Nicolas Staub has collaborated with scholars based in France, Czechia and Netherlands. Frequent co-authors include Antonio Franchi, Viktor Walter, Martin Saska, Quentin Sablé, Marco Tognon, Davide Bicego, Hyunsoo Yang, Mostafa Mohammadi, Domenico Prattichizzo and Paolo Robuffo Giordano. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine and The International Journal of Robotics Research.
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.