Chonhyon Park
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence
- Co-authors
- Dinesh ManochaJia PanJae Sung ParkSteve TonneauJulien PettréAndrea Del PreteNicolas MansardJae-Sang Park
- Topics
- Robotic Path Planning Algorithms (14 papers)Robotics and Sensor-Based Localization (8 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- ACM Transactions on GraphicsThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Chonhyon Park
16 papers receiving 417 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 307
- Control and Systems Engineering 219
- Aerospace Engineering 130
- Biomedical Engineering 125
- Artificial Intelligence 62
Countries citing papers authored by Chonhyon Park
This map shows the geographic impact of Chonhyon Park'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 Chonhyon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chonhyon Park more than expected).
Fields of papers citing papers by Chonhyon Park
This network shows the impact of papers produced by Chonhyon Park. 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 Chonhyon Park. The network helps show where Chonhyon Park may publish in the future.
Co-authorship network of co-authors of Chonhyon Park
This figure shows the co-authorship network connecting the top 25 collaborators of Chonhyon Park. A scholar is included among the top collaborators of Chonhyon Park 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 Chonhyon Park. Chonhyon Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 30 | |
| 4 | 91 | |
| 5 | 46 | |
| 6 | 15 | |
| 7 | 21 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 53 | |
| 16 | Advancing Front for Efficient Blue Noise Sampling Across Various Dimensions. | 1 |
| 17 | 107 |
About Chonhyon Park
Chonhyon Park is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering, having authored 17 papers that have together received 444 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (8 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Control and Systems Engineering (219 citations) and Aerospace Engineering (130 citations). Chonhyon Park has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Dinesh Manocha, Jia Pan, Jae Sung Park, Steve Tonneau, Julien Pettré, Andrea Del Prete, Nicolas Mansard, Jae-Sang Park, Zherong Pan and K. W. Freeman. Their work appears in journals such as ACM Transactions on Graphics, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.