Paul Evrard
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Mechanical Engineering
- Social Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- Abderrahmane KheddarOlivier StasseNicolas MansardElena GribovskayaSylvain CalinonAude BillardAdrien EscandeSylvain Miossec
- Topics
- Robot Manipulation and Learning (11 papers)Teleoperation and Haptic Systems (9 papers)Human Motion and Animation (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Paul Evrard
19 papers receiving 484 citations
Peers
Comparison fields: 5 of 54
- Control and Systems Engineering 329
- Biomedical Engineering 220
- Mechanical Engineering 146
- Social Psychology 112
- Cognitive Neuroscience 102
Countries citing papers authored by Paul Evrard
This map shows the geographic impact of Paul Evrard'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 Paul Evrard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Evrard more than expected).
Fields of papers citing papers by Paul Evrard
This network shows the impact of papers produced by Paul Evrard. 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 Paul Evrard. The network helps show where Paul Evrard may publish in the future.
Co-authorship network of co-authors of Paul Evrard
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Evrard. A scholar is included among the top collaborators of Paul Evrard 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 Paul Evrard. Paul Evrard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 46 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | Learning collaborative manipulation tasks by demonstration using a haptic interface | 50 |
| 8 | A versatile Generalized Inverted Kinematics implementation for collaborative working humanoid robots: The Stack Of Tasks | 73 |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 88 | |
| 12 | 80 | |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 12 | |
| 16 | 58 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 5 |
About Paul Evrard
Paul Evrard is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Mechanical Engineering, having authored 19 papers that have together received 502 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Teleoperation and Haptic Systems (9 papers) and Human Motion and Animation (5 papers). The work is most often cited by research in Control and Systems Engineering (329 citations), Human-Computer Interaction (35 citations) and Social Psychology (112 citations). Paul Evrard has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Abderrahmane Kheddar, Olivier Stasse, Nicolas Mansard, Elena Gribovskaya, Sylvain Calinon, Aude Billard, Adrien Escande, Sylvain Miossec, Alain Micaelli and Claude Andriot. Their work appears in journals such as IEEE Transactions on Robotics, Nuclear Fusion and International Journal of Industrial Ergonomics.
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.