Justin K. Yim

1.5k citations
21 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Robotic Locomotion and Control (14 papers)Prosthetics and Rehabilitation Robotics (11 papers)Modular Robots and Swarm Intelligence (6 papers)
Partner nations
United StatesChinaItaly

In The Last Decade

Justin K. Yim

18 papers receiving 1.1k citations

Hit Papers

Insect-scale fast moving and ultrarobust soft robot20192026202120232019100200300400

Peers

Justin K. Yim
Comparison fields: 5 of 63
  • Biomedical Engineering 926
  • Mechanical Engineering 540
  • Condensed Matter Physics 297
  • Control and Systems Engineering 232
  • Aerospace Engineering 196
Replace Gwang-Pil Jung with:
Gwang-Pil Jung South Korea
Min Xu China
Hirofumi MIURA Japan
Neel Doshi United States
Kathryn A. Daltorio United States
Gábor Kósa Israel
Alexander Badri–Spröwitz Germany
Lung‐Jieh Yang Taiwan
Erbao Dong China
Zheyuan Gong China
Justin K. Yim relative to Gwang-Pil Jung South Korea Gwang-Pil Jung's profile →
Citations per field
00.5×1.6×
Gwang-Pil Jung · 1×
Citations per year

Countries citing papers authored by Justin K. Yim

Since Specialization
Citations

This map shows the geographic impact of Justin K. 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 Justin K. Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin K. Yim more than expected).

Fields of papers citing papers by Justin K. Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin K. 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 Justin K. Yim. The network helps show where Justin K. Yim may publish in the future.

Co-authorship network of co-authors of Justin K. Yim

This figure shows the co-authorship network connecting the top 25 collaborators of Justin K. Yim. A scholar is included among the top collaborators of Justin K. Yim 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 Justin K. Yim. Justin K. Yim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 0
4 0
5 0
6 6
7 4
8 6
9 133
10
Hopping Control and Estimation for a High-performance Monopedal Robot, Salto-1P
2
11 49
12
Insect-scale fast moving and ultrarobust soft robotbreakdown →
409
13 11
14 39
15 82
16 276
17 30
18 64
19 9
20 3

About Justin K. Yim

Justin K. Yim is a scholar working on Biomedical Engineering, Control and Systems Engineering and Condensed Matter Physics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (14 papers), Prosthetics and Rehabilitation Robotics (11 papers) and Modular Robots and Swarm Intelligence (6 papers). The work is most often cited by research in Condensed Matter Physics (297 citations), Biomedical Engineering (926 citations) and Mechanical Engineering (540 citations). Justin K. Yim has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Ronald S. Fearing, Duncan W. Haldane, Mark Plecnik, Min Zhang, Jiaming Liang, Xiaohao Wang, Junwen Zhong, Zhichun Shao, Yichuan Wu and Liwei Lin. Their work appears in journals such as Journal of Experimental Biology, IEEE Transactions on Control Systems Technology and Science 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.

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