Daniel Burnier
Impact in
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- Robotic Path Planning Algorithms
- Control and Systems Engineering top 10%
- Robotics and Automated Systems
- Robot Manipulation and Learning
Papers in ⓘ
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- Modular Robots and Swarm Intelligence 5
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- Robotic Path Planning Algorithms 4
- Co-authors
- Samir Bouabdallah (4 shared papers)Roland Siegwart (4 shared papers)R. Piguet (4 shared papers)Francesco Mondada (4 shared papers)Kai O. Arras (3 shared papers)Nicola Tomatis (2 shared papers)Philippe Rétornaz (2 shared papers)Stéphane Magnenat (2 shared papers)
- Journals
- Robotics and Autonomous Systems (1 paper)IEEE Access (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (4 papers)Repository for Publications and Research Data (ETH Zurich) (2 papers)
- Partner nations
- SwitzerlandFrance
In The Last Decade
Daniel Burnier
8 papers receiving 313 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 137
- Control and Systems Engineering 116
- Social Psychology 100
- Human-Computer Interaction 19
- Computer Networks and Communications 75
Countries citing papers authored by Daniel Burnier
This map shows the geographic impact of Daniel Burnier'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 Daniel Burnier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Burnier more than expected).
Fields of papers citing papers by Daniel Burnier
This network shows the impact of papers produced by Daniel Burnier. 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 Daniel Burnier. The network helps show where Daniel Burnier may publish in the future.
Co-authors
The 20 scholars most cited alongside Daniel Burnier, 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 | 2003 | 171 | |
| 2 | 2010 | 120 | |
| 3 | 2002 | 17 | |
| 4 | 2003 | 17 | |
| 5 | 2004 | 9 | |
| 6 | 2016 | 6 | |
| 7 | 2023 | 4 | |
| 8 | Autonomous Construction by a Mobile Robot in Unknown Environments with Scarce Resources | 2010 | 2 |
About Daniel Burnier
Daniel Burnier is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Control and Systems Engineering, having authored 8 papers that have together received 346 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (5 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers), Optimization and Search Problems (2 papers), Robotics and Automated Systems (2 papers), Distributed Control Multi-Agent Systems (2 papers), Underwater Vehicles and Communication Systems (2 papers) and Data Management and Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (137 citations), Control and Systems Engineering (116 citations), Social Psychology (100 citations), Human-Computer Interaction (19 citations) and Computer Networks and Communications (75 citations). Daniel Burnier has collaborated with scholars based in Switzerland and France. Frequent co-authors include Samir Bouabdallah, Roland Siegwart, R. Piguet, Francesco Mondada, Kai O. Arras, Nicola Tomatis, Philippe Rétornaz, Stéphane Magnenat, Florian Vaussard and Hannes Bleuler. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Access, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).
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.