Mark Yim
- Condensed Matter Physics top 0.5%
- Micro and Nano Robotics 39
- Mechanical Engineering top 0.2%
- Modular Robots and Swarm Intelligence 118
- Advanced Materials and Mechanics 37
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning 39
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- Optimization and Search Problems 11
- Biomedical Engineering top 1%
- Soft Robotics and Applications 43
- Robotic Locomotion and Control 23
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- Robotic Path Planning Algorithms 31
- Co-authors
- D.G. DuffKimon RoufasMark MollEric KlavinsGregory S. ChirikjianBehnam SalemiHod LipsonDaniela Rus
- Journals
- IEEE Robotics and Automation Letters (14 papers)IEEE Robotics & Automation Magazine (5 papers)The International Journal of Robotics Research (5 papers)
- Partner nations
- United StatesSouth KoreaHong Kong
In The Last Decade
Mark Yim
174 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Condensed Matter Physics 1.8k
- Mechanical Engineering 4.4k
- Control and Systems Engineering 1.5k
- Computer Networks and Communications 1.2k
- Biomedical Engineering 2.1k
Countries citing papers authored by Mark Yim
This map shows the geographic impact of Mark Yim'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 Mark Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Yim more than expected).
Fields of papers citing papers by Mark Yim
This network shows the impact of papers produced by Mark Yim. 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 Mark Yim. The network helps show where Mark Yim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Yim, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 0 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 7 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 80 | |
| 20 | 2018 | 14 |
About Mark Yim
Mark Yim is a scholar working on Mechanical Engineering, Condensed Matter Physics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 180 papers that have together received 5.6k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (118 papers), Soft Robotics and Applications (43 papers), Robot Manipulation and Learning (39 papers), Micro and Nano Robotics (39 papers), Advanced Materials and Mechanics (37 papers), Robotic Path Planning Algorithms (31 papers), Robotic Locomotion and Control (23 papers) and Optimization and Search Problems (11 papers). The work is most often cited by research in Condensed Matter Physics (1.8k citations), Mechanical Engineering (4.4k citations), Control and Systems Engineering (1.5k citations), Computer Networks and Communications (1.2k citations) and Biomedical Engineering (2.1k citations). Mark Yim has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include D.G. Duff, Kimon Roufas, Mark Moll, Eric Klavins, Gregory S. Chirikjian, Behnam Salemi, Hod Lipson, Daniela Rus, Wei‐Min Shen and Craig Eldershaw. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Robotics & Automation Magazine, The International Journal of Robotics Research, Autonomous Robots and Journal of Mechanisms and 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.