Quang‐Cuong Pham
- Automotive Engineering top 1%
- Mechanical Engineering top 5%
- Control and Systems Engineering top 2%
- Building and Construction top 1%
- Biomedical Engineering top 10%
- Co-authors
- Jian Hui LimJean-Jacques SlotineYoshihiko NakamuraBiranchi PandaNicolas TabareauYiwei WengHalim HicheurStéphane Caron
- Topics
- Robotic Path Planning Algorithms (17 papers)Robot Manipulation and Learning (12 papers)Robotic Mechanisms and Dynamics (11 papers)
In The Last Decade
Quang‐Cuong Pham
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Automotive Engineering 662
- Mechanical Engineering 530
- Control and Systems Engineering 500
- Building and Construction 472
- Biomedical Engineering 400
Countries citing papers authored by Quang‐Cuong Pham
This map shows the geographic impact of Quang‐Cuong Pham'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 Quang‐Cuong Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quang‐Cuong Pham more than expected).
Fields of papers citing papers by Quang‐Cuong Pham
This network shows the impact of papers produced by Quang‐Cuong Pham. 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 Quang‐Cuong Pham. The network helps show where Quang‐Cuong Pham may publish in the future.
Co-authorship network of co-authors of Quang‐Cuong Pham
This figure shows the co-authorship network connecting the top 25 collaborators of Quang‐Cuong Pham. A scholar is included among the top collaborators of Quang‐Cuong Pham 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 Quang‐Cuong Pham. Quang‐Cuong Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | Planning Truly Dynamic Motions: Path-Velocity Decomposition Revisited. | 3 |
| 12 | A new trajectory deformation algorithm based on affine transformations | 1 |
| 13 | 24 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 57 | |
| 17 | 32 | |
| 18 | 74 | |
| 19 | 88 | |
| 20 | 147 |
About Quang‐Cuong Pham
Quang‐Cuong Pham is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 64 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Robot Manipulation and Learning (12 papers) and Robotic Mechanisms and Dynamics (11 papers). The work is most often cited by research in Automotive Engineering (662 citations), Building and Construction (472 citations) and Control and Systems Engineering (500 citations). Quang‐Cuong Pham has collaborated with scholars based in Singapore, France and Japan. Frequent co-authors include Jian Hui Lim, Jean-Jacques Slotine, Yoshihiko Nakamura, Biranchi Panda, Nicolas Tabareau, Yiwei Weng, Halim Hicheur, Stéphane Caron, Xu Zhang and Alain Berthoz. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Neurophysiology and Construction and Building Materials.
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.