Richard Béarée
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Co-authors
- Pedro NetoMohammad SafeeaAdel OlabiOlivier GibaruMohamed DamakPierre BorneJean‐Yves DieulotAli Siadat
- Topics
- Robotic Mechanisms and Dynamics (20 papers)Robot Manipulation and Learning (9 papers)Dynamics and Control of Mechanical Systems (9 papers)
- Cited by
- Control and Systems EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE AccessIEEE Transactions on Industrial InformaticsThe International Journal of Advanced Manufacturing Technology
- Partner nations
- FrancePortugalPhilippines
In The Last Decade
Richard Béarée
39 papers receiving 611 citations
Peers
Comparison fields: 5 of 62
- Control and Systems Engineering 453
- Mechanical Engineering 272
- Computer Vision and Pattern Recognition 152
- Biomedical Engineering 124
- Computational Mechanics 111
Countries citing papers authored by Richard Béarée
This map shows the geographic impact of Richard Béarée'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 Richard Béarée with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Béarée more than expected).
Fields of papers citing papers by Richard Béarée
This network shows the impact of papers produced by Richard Béarée. 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 Richard Béarée. The network helps show where Richard Béarée may publish in the future.
Co-authorship network of co-authors of Richard Béarée
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Béarée. A scholar is included among the top collaborators of Richard Béarée 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 Richard Béarée. Richard Béarée 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 | 8 | |
| 3 | 10 | |
| 4 | 30 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 76 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 25 | |
| 16 | 30 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 85 |
About Richard Béarée
Richard Béarée is a scholar working on Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 626 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (20 papers), Robot Manipulation and Learning (9 papers) and Dynamics and Control of Mechanical Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (453 citations), Industrial and Manufacturing Engineering (101 citations) and Computer Vision and Pattern Recognition (152 citations). Richard Béarée has collaborated with scholars based in France, Portugal and Philippines. Frequent co-authors include Pedro Neto, Mohammad Safeea, Adel Olabi, Olivier Gibaru, Mohamed Damak, Pierre Borne, Jean‐Yves Dieulot, Ali Siadat, Xavier Kestelyn and Frédéric Colas. Their work appears in journals such as IEEE Access, IEEE Transactions on Industrial Informatics and The International Journal of Advanced Manufacturing Technology.
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.