Sukjun Kim
Impact in
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
-
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 6
- Soft Robotics and Applications 5
-
- Advanced Materials and Mechanics 8
- Modular Robots and Swarm Intelligence 3
- Co-authors
- Dae‐Young Lee (1 shared paper)Kyu‐Jin Cho (1 shared paper)Gwang-Pil Jung (1 shared paper)Sarah Bergbreiter (12 shared papers)Camilo Vélez (4 shared papers)Gabriel L. Smith (3 shared papers)Dinesh K. Patel (4 shared papers)Ryan St. Pierre (1 shared paper)
- Journals
- Journal of Microelectromechanical Systems (3 papers)Science Robotics (2 papers)IEEE Transactions on Medical Robotics and Bionics (1 paper)Applied Optics (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Sukjun Kim
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 38
- Mechanical Engineering 199
- Biomedical Engineering 195
- Condensed Matter Physics 48
- Architecture 4
- Control and Systems Engineering 51
Countries citing papers authored by Sukjun Kim
This map shows the geographic impact of Sukjun 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 Sukjun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukjun Kim more than expected).
Fields of papers citing papers by Sukjun Kim
This network shows the impact of papers produced by Sukjun 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 Sukjun Kim. The network helps show where Sukjun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sukjun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 203 | |
| 2 | 2020 | 27 | |
| 3 | 2023 | 20 | |
| 4 | 2020 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2024 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Sukjun Kim
Sukjun Kim is a scholar working on Biomedical Engineering, Mechanical Engineering, Condensed Matter Physics, Materials Chemistry and Electrical and Electronic Engineering, having authored 17 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (8 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Soft Robotics and Applications (5 papers), Micro and Nano Robotics (5 papers), Shape Memory Alloy Transformations (4 papers), Modular Robots and Swarm Intelligence (3 papers), Advanced MEMS and NEMS Technologies (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Mechanical Engineering (199 citations), Biomedical Engineering (195 citations), Condensed Matter Physics (48 citations), Architecture (4 citations) and Control and Systems Engineering (51 citations). Sukjun Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Dae‐Young Lee, Kyu‐Jin Cho, Gwang-Pil Jung, Sarah Bergbreiter, Camilo Vélez, Gabriel L. Smith, Dinesh K. Patel, Ryan St. Pierre, Suhan Kim and Carmel Majidi. Their work appears in journals such as Journal of Microelectromechanical Systems, Science Robotics, IEEE Transactions on Medical Robotics and Bionics, Applied Optics and IEEE Robotics and Automation Letters.
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.