Won S. Kim

41 papers receiving 764 citations

Peers

Won S. Kim
Comparison fields: 5 of 122
  • Neurology 106
  • Neuropsychology and Physiological Psychology 11
  • Human-Computer Interaction 45
  • Internal Medicine 20
  • Psychiatry and Mental health 85
Replace Sandra Olsson with:
Sandra Olsson Sweden
Simone Porcelli Italy
Jiaqing Yan China
Henrique Silva Portugal
Soo-Yeon Kim South Korea
Mina Ranjbaran Iran
Hyun-Seok Kim South Korea
Katsuya Tanaka Japan
Sung South Korea
Huihui Li China
Won S. Kim relative to Sandra Olsson Sweden Sandra Olsson's profile →
Citations per field
00.5×3.7×
Sandra Olsson · 1×
Citations per year

Countries citing papers authored by Won S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Won S. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won S. Kim Line = papers co-authored together Won S. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989135
2 200789
3 198689
4 200473
5 200444
6 199641
7 200440
8 200240
9 201324
10 199123
11 200422
12 199121
13 199519
14 201119
15 198717
16 199315
17 198113
18 200612
19 200911
20
A new scheme of force reflecting control
199211

About Won S. Kim

Won S. Kim is a scholar working on Mechanical Engineering, Aerospace Engineering, Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 826 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (19 papers), Space Satellite Systems and Control (5 papers), Virtual Reality Applications and Impacts (5 papers), Robot Manipulation and Learning (5 papers), Retinoids in leukemia and cellular processes (4 papers), Planetary Science and Exploration (4 papers), Soft Robotics and Applications (4 papers) and Spacecraft Design and Technology (3 papers). The work is most often cited by research in Neurology (106 citations), Neuropsychology and Physiological Psychology (11 citations), Human-Computer Interaction (45 citations), Internal Medicine (20 citations) and Psychiatry and Mental health (85 citations). Won S. Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Vincenzo De Luca, Jun Murata, Dylan Levac, A.K. Bejczy, Lynn J. Speedie, Peter V. Rabins, Godfrey D. Pearlson, Paul J. Moberg, Alistair Burns and Arthur E. Rosenbaum. Their work appears in journals such as Journal of Computer Assisted Tomography, Journal of Cellular Biochemistry, The Plant Journal, Behavioural Brain Research and The International Journal of Biochemistry & Cell Biology.

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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