Jackrit Suthakorn
- Biomedical Engineering top 10%
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Surgery
- Co-authors
- Gregory S. ChirikjianBranesh M. PillaiZhou YuChumpon WilasrusmeeP. AjaySorayouth ChumnanvejSangyoon LeeYu Zhou
- Topics
- Soft Robotics and Applications (30 papers)Surgical Simulation and Training (17 papers)Robotics and Sensor-Based Localization (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringBiomedical Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessJournal of Biomechanics
- Partner nations
- ThailandUnited StatesJapan
In The Last Decade
Jackrit Suthakorn
99 papers receiving 768 citations
Peers
Comparison fields: 5 of 110
- Biomedical Engineering 328
- Mechanical Engineering 200
- Control and Systems Engineering 188
- Computer Vision and Pattern Recognition 170
- Surgery 153
Countries citing papers authored by Jackrit Suthakorn
This map shows the geographic impact of Jackrit Suthakorn'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 Jackrit Suthakorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackrit Suthakorn more than expected).
Fields of papers citing papers by Jackrit Suthakorn
This network shows the impact of papers produced by Jackrit Suthakorn. 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 Jackrit Suthakorn. The network helps show where Jackrit Suthakorn may publish in the future.
Co-authorship network of co-authors of Jackrit Suthakorn
This figure shows the co-authorship network connecting the top 25 collaborators of Jackrit Suthakorn. A scholar is included among the top collaborators of Jackrit Suthakorn 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 Jackrit Suthakorn. Jackrit Suthakorn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 86 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 8 | |
| 18 | Advancing the state of urban search and rescue robotics through the RoboCupRescue robot league competition | 6 |
| 19 | 8 | |
| 20 | Anti-Swing Control of Suspended Loads on Shipboard Robotic Cranes | 4 |
About Jackrit Suthakorn
Jackrit Suthakorn is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering, having authored 103 papers that have together received 806 indexed citations. Recurring topics across this work include Soft Robotics and Applications (30 papers), Surgical Simulation and Training (17 papers) and Robotics and Sensor-Based Localization (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (170 citations), Control and Systems Engineering (188 citations) and Biomedical Engineering (328 citations). Jackrit Suthakorn has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Gregory S. Chirikjian, Branesh M. Pillai, Zhou Yu, Chumpon Wilasrusmee, P. Ajay, Sorayouth Chumnanvej, Sangyoon Lee, Yu Zhou, Sayeed Choudhury and Fumitoshi Matsuno. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Biomechanics.
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.