Raymond Oung
- Mechanical Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Co-authors
- Raffaello D’AndreaFrédéric BourgaultJake J. AbbottBradley J. NelsonZoltán NagyAlireza RamezaniElliot W. HawkesI. Kaliakatsos
- Topics
- Distributed Control Multi-Agent Systems (9 papers)Modular Robots and Swarm Intelligence (7 papers)Underwater Vehicles and Communication Systems (3 papers)
- Journals
- The International Journal of Robotics ResearchMechatronicsRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- SwitzerlandItalySpain
In The Last Decade
Raymond Oung
11 papers receiving 277 citations
Peers
Comparison fields: 5 of 35
- Mechanical Engineering 122
- Computer Networks and Communications 117
- Computer Vision and Pattern Recognition 80
- Control and Systems Engineering 79
- Aerospace Engineering 79
Countries citing papers authored by Raymond Oung
This map shows the geographic impact of Raymond Oung'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 Raymond Oung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Oung more than expected).
Fields of papers citing papers by Raymond Oung
This network shows the impact of papers produced by Raymond Oung. 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 Raymond Oung. The network helps show where Raymond Oung may publish in the future.
Co-authorship network of co-authors of Raymond Oung
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Oung. A scholar is included among the top collaborators of Raymond Oung 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 Raymond Oung. Raymond Oung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 60 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 66 | |
| 7 | 31 | |
| 8 | 18 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 37 |
About Raymond Oung
Raymond Oung is a scholar working on Computer Networks and Communications, Ocean Engineering and Mechanical Engineering, having authored 11 papers that have together received 282 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (9 papers), Modular Robots and Swarm Intelligence (7 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (117 citations), Condensed Matter Physics (57 citations) and Gastroenterology (22 citations). Raymond Oung has collaborated with scholars based in Switzerland, Italy and Spain. Frequent co-authors include Raffaello D’Andrea, Frédéric Bourgault, Jake J. Abbott, Bradley J. Nelson, Zoltán Nagy, Alireza Ramezani, Elliot W. Hawkes, I. Kaliakatsos, Kensuke Harada and Paolo Dario. Their work appears in journals such as The International Journal of Robotics Research, Mechatronics 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.