Sukwon Kim

50 papers receiving 614 citations

Peers

Sukwon Kim
Comparison fields: 5 of 82
  • Physical Therapy, Sports Therapy and Rehabilitation 219
  • Orthopedics and Sports Medicine 98
  • Occupational Therapy 21
  • Psychiatry and Mental health 71
  • Computer Networks and Communications 111
Replace Mathieu Hamel with:
Mathieu Hamel Canada
Moataz Eltoukhy United States
Daniel Rodríguez-Martín Spain
Emma Fortune United States
Luca Palmerini Italy
William J. McDermott United States
Yi‐Ju Tsai Taiwan
Deborah D. Espy United States
Rahul Soangra United States
Shibili Nuhmani Saudi Arabia
Sukwon Kim relative to Mathieu Hamel Canada Mathieu Hamel's profile →
Citations per field
00.5×4.8×
Mathieu Hamel · 1×
Citations per year

Countries citing papers authored by Sukwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sukwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sukwon 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 Sukwon Kim Line = papers co-authored together Sukwon Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200574
2 201159
3 200549
4 200642
5 200941
6 201737
7 201526
8 202023
9 201821
10 201118
11 202317
12 201017
13 200916
14 202215
15 201014
16 202312
17 202411
18 201911
19 201211
20 20109

About Sukwon Kim

Sukwon Kim is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine, Psychiatry and Mental health and Surgery, having authored 59 papers that have together received 642 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (20 papers), Muscle activation and electromyography studies (14 papers), Sports injuries and prevention (12 papers), Cerebral Palsy and Movement Disorders (10 papers), Sports Performance and Training (10 papers), Cooperative Communication and Network Coding (7 papers), Lower Extremity Biomechanics and Pathologies (7 papers) and Full-Duplex Wireless Communications (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (219 citations), Orthopedics and Sports Medicine (98 citations), Occupational Therapy (21 citations), Psychiatry and Mental health (71 citations) and Computer Networks and Communications (111 citations). Sukwon Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Thurmon E. Lockhart, Michelle Effros, Tracey Ho, Sungha Park, Chang S. Nam, Youngsuk Kim, Joseph B. Lyons, Chansol Hurr, Salman Avestimehr and Mooryong Choi. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Sports Science and Medicine, Journal of Human Kinetics, Journal of NeuroEngineering and Rehabilitation and Molecular & cellular biomechanics.

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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