João Silvério
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Darwin G. CaldwellLeonel RozoYanlong HuangSylvain CalinonFares J. Abu‐DakkaIoannis HavoutisVille KyrkiXiaohui Xiao
- Topics
- Robot Manipulation and Learning (27 papers)Reinforcement Learning in Robotics (12 papers)Robotic Mechanisms and Dynamics (11 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on RoboticsRobotics and Autonomous Systems
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
João Silvério
29 papers receiving 631 citations
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 511
- Artificial Intelligence 215
- Biomedical Engineering 184
- Computer Vision and Pattern Recognition 123
- Mechanical Engineering 98
Countries citing papers authored by João Silvério
This map shows the geographic impact of João Silvério'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 João Silvério with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Silvério more than expected).
Fields of papers citing papers by João Silvério
This network shows the impact of papers produced by João Silvério. 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 João Silvério. The network helps show where João Silvério may publish in the future.
Co-authorship network of co-authors of João Silvério
This figure shows the co-authorship network connecting the top 25 collaborators of João Silvério. A scholar is included among the top collaborators of João Silvério 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 João Silvério. João Silvério 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 25 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 24 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 41 | |
| 18 | Learning Competing Constraints and Task Priorities from Demonstrations of Bimanual Skills. | 6 |
| 19 | A Learning from Demonstration Approach fusing Torque Controllers. | 1 |
| 20 | 45 |
About João Silvério
João Silvério is a scholar working on Computational Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 31 papers that have together received 638 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (27 papers), Reinforcement Learning in Robotics (12 papers) and Robotic Mechanisms and Dynamics (11 papers). The work is most often cited by research in Control and Systems Engineering (511 citations), Human-Computer Interaction (43 citations) and Artificial Intelligence (215 citations). João Silvério has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Darwin G. Caldwell, Leonel Rozo, Yanlong Huang, Sylvain Calinon, Fares J. Abu‐Dakka, Ioannis Havoutis, Ville Kyrki, Xiaohui Xiao, Miao Li and Freek Stulp. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Robotics and Autonomous Systems.
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.