Seungsu Kim
- Control and Systems Engineering top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Aude BillardKoji SodeStefano FerriWakako TsugawaElena GribovskayaStéphane DoncieuxSeiji MiuraRobert Haschke
- Topics
- Robot Manipulation and Learning (6 papers)Amino Acid Enzymes and Metabolism (4 papers)Robotic Locomotion and Control (4 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsBiotechnology and BioengineeringIEEE Transactions on Robotics
- Partner nations
- JapanSouth KoreaSwitzerland
In The Last Decade
Seungsu Kim
19 papers receiving 518 citations
Peers
Comparison fields: 5 of 83
- Control and Systems Engineering 232
- Molecular Biology 127
- Computer Vision and Pattern Recognition 124
- Biomedical Engineering 119
- Artificial Intelligence 94
Countries citing papers authored by Seungsu Kim
This map shows the geographic impact of Seungsu 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 Seungsu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungsu Kim more than expected).
Fields of papers citing papers by Seungsu Kim
This network shows the impact of papers produced by Seungsu 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 Seungsu Kim. The network helps show where Seungsu Kim may publish in the future.
Co-authorship network of co-authors of Seungsu Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Seungsu Kim. A scholar is included among the top collaborators of Seungsu 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 Seungsu Kim. Seungsu 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 | 0 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 20 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | Reduced Activation W Alloys for Plasma Facing Materials | 2 |
| 8 | 165 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 0 | |
| 12 | 29 | |
| 13 | 17 | |
| 14 | 34 | |
| 15 | 24 | |
| 16 | 5 | |
| 17 | 48 | |
| 18 | 22 | |
| 19 | 2 | |
| 20 | 26 |
About Seungsu Kim
Seungsu Kim is a scholar working on Biochemistry, Computer Vision and Pattern Recognition and Clinical Biochemistry, having authored 21 papers that have together received 523 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Robotic Locomotion and Control (4 papers). The work is most often cited by research in Control and Systems Engineering (232 citations), Clinical Biochemistry (51 citations) and Biochemistry (51 citations). Seungsu Kim has collaborated with scholars based in Japan, South Korea and Switzerland. Frequent co-authors include Aude Billard, Koji Sode, Stefano Ferri, Wakako Tsugawa, Elena Gribovskaya, Stéphane Doncieux, Seiji Miura, Robert Haschke, Helge Ritter and Julien Pérez. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biotechnology and Bioengineering 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.