Soonkyum Kim

652 total citations
22 papers, 417 citations indexed

About

Soonkyum Kim is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Soonkyum Kim has authored 22 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Soonkyum Kim's work include Robotic Path Planning Algorithms (16 papers), Modular Robots and Swarm Intelligence (4 papers) and Computational Geometry and Mesh Generation (4 papers). Soonkyum Kim is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), Modular Robots and Swarm Intelligence (4 papers) and Computational Geometry and Mesh Generation (4 papers). Soonkyum Kim collaborates with scholars based in United States, South Korea and Sweden. Soonkyum Kim's co-authors include Vijay Kumar, Jonathan Fink, Nathan Michael, Subhrajit Bhattacharya, Maxim Likhachev, Gaurav S. Sukhatme, Hordur Heidarsson, Vijay Kumar, Junhyoung Ha and Robert Ghrist and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

Soonkyum Kim

21 papers receiving 406 citations

Peers

Soonkyum Kim
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 270
  • Control and Systems Engineering 213
  • Aerospace Engineering 137
  • Computer Networks and Communications 106
  • Mechanical Engineering 85
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Priyadarshi Bhattacharya Canada
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Citations per field, relative to Soonkyum Kim
Soonkyum Kim · 1×
Citations per year, relative to Soonkyum Kim
Soonkyum Kim · 1×

Countries citing papers authored by Soonkyum Kim

Since Specialization
Citations

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

Fields of papers citing papers by Soonkyum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soonkyum 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 Soonkyum Kim. The network helps show where Soonkyum Kim may publish in the future.

Co-authorship network of co-authors of Soonkyum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Soonkyum Kim. A scholar is included among the top collaborators of Soonkyum 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 Soonkyum Kim. Soonkyum Kim 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
# Work Indexed citations
1 1
2 10
3 1
4 9
5 3
6 10
7 1
8 29
9 26
10 43
11 9
12
Robot motion planning under topological constraints
0
13 16
14 14
15 13
16 1
17 172
18 25
19 26
20
Study of Autoantibodies Against Platelet GP IIb/IIIa and GP Ib/IX in Childhood Chronic Idiopathic Thrombocytopenic Purpura
2

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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