Stéphane Magnenat
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 1%
- Mechanical Engineering top 5%
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Roland SiegwartFrançois PomerleauFrancis ColasFrancesco MondadaMichaël BonaniDario FloreanoLaurent KellerPhilippe Rétornaz
- Topics
- Modular Robots and Swarm Intelligence (15 papers)Robotics and Automated Systems (14 papers)Teaching and Learning Programming (8 papers)
- Journals
- Current BiologyProceedings of the Royal Society B Biological SciencesIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- SwitzerlandFranceIsrael
In The Last Decade
Stéphane Magnenat
47 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 799
- Aerospace Engineering 711
- Mechanical Engineering 574
- Computer Networks and Communications 423
- Control and Systems Engineering 342
Countries citing papers authored by Stéphane Magnenat
This map shows the geographic impact of Stéphane Magnenat'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 Stéphane Magnenat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Magnenat more than expected).
Fields of papers citing papers by Stéphane Magnenat
This network shows the impact of papers produced by Stéphane Magnenat. 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 Stéphane Magnenat. The network helps show where Stéphane Magnenat may publish in the future.
Co-authorship network of co-authors of Stéphane Magnenat
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Magnenat. A scholar is included among the top collaborators of Stéphane Magnenat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stéphane Magnenat. Stéphane Magnenat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 81 | |
| 6 | 28 | |
| 7 | 40 | |
| 8 | 26 | |
| 9 | 23 | |
| 10 | 71 | |
| 11 | 107 | |
| 12 | 8 | |
| 13 | Wearable Computing | 10 |
| 14 | 55 | |
| 15 | 4 | |
| 16 | 120 | |
| 17 | The e-puck, a Robot Designed for Education in Engineeringbreakdown → | 451 |
| 18 | Scripting the swarm: event-based control of microcontroller-based robots. | 4 |
| 19 | ASEBA, an event-based middleware for distributed robot control | 18 |
| 20 | 130 |
About Stéphane Magnenat
Stéphane Magnenat is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (15 papers), Robotics and Automated Systems (14 papers) and Teaching and Learning Programming (8 papers). The work is most often cited by research in Geology (302 citations), Computer Vision and Pattern Recognition (799 citations) and Computer Science Applications (204 citations). Stéphane Magnenat has collaborated with scholars based in Switzerland, France and Israel. Frequent co-authors include Roland Siegwart, François Pomerleau, Francis Colas, Francesco Mondada, Michaël Bonani, Dario Floreano, Laurent Keller, Philippe Rétornaz, Alcherio Martinoli and Jean‐Christophe Zufferey. Their work appears in journals such as Current Biology, Proceedings of the Royal Society B Biological Sciences and IEEE Transactions on Visualization and Computer Graphics.
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.