Sung-Kyun Kim
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Ali‐akbar Agha‐mohammadiMaxim LikhachevJoel W. BurdickKyohei OtsuGautam SalhotraSuman ChakravortyNancy M. AmatoSeung‐Hak Baek
- Topics
- Robotic Path Planning Algorithms (5 papers)Robot Manipulation and Learning (4 papers)Reinforcement Learning in Robotics (4 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sung-Kyun Kim
20 papers receiving 162 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 73
- Aerospace Engineering 55
- Control and Systems Engineering 45
- Artificial Intelligence 33
- Computer Networks and Communications 30
Countries citing papers authored by Sung-Kyun Kim
This map shows the geographic impact of Sung-Kyun Kim'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 Sung-Kyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung-Kyun Kim more than expected).
Fields of papers citing papers by Sung-Kyun Kim
This network shows the impact of papers produced by Sung-Kyun Kim. 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 Sung-Kyun Kim. The network helps show where Sung-Kyun Kim may publish in the future.
Co-authorship network of co-authors of Sung-Kyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Kyun Kim. A scholar is included among the top collaborators of Sung-Kyun Kim 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 Sung-Kyun Kim. Sung-Kyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 26 | |
| 7 | 34 | |
| 8 | 6 | |
| 9 | Developing Smart City: Based on the Assessment of Smart Projects in Medium-Size Cities, Vietnam | 2 |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | 1 |
About Sung-Kyun Kim
Sung-Kyun Kim is a scholar working on Orthodontics, Computer Vision and Pattern Recognition and Management of Technology and Innovation, having authored 20 papers that have together received 168 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Robot Manipulation and Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (73 citations), Orthodontics (15 citations) and Complementary and Manual Therapy (5 citations). Sung-Kyun Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Ali‐akbar Agha‐mohammadi, Maxim Likhachev, Joel W. Burdick, Kyohei Otsu, Gautam Salhotra, Suman Chakravorty, Nancy M. Amato, Seung‐Hak Baek, Young-Il Chang and David D. Fan. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and The Angle Orthodontist.
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.