Byeong-Sang Kim

601 citations
18 papers · 477 indexed · h-index 11
Topics
Robot Manipulation and Learning (14 papers)Prosthetics and Rehabilitation Robotics (11 papers)Soft Robotics and Applications (7 papers)
Partner nations
South Korea

In The Last Decade

Byeong-Sang Kim

17 papers receiving 460 citations

Peers

Byeong-Sang Kim
Comparison fields: 5 of 49
  • Biomedical Engineering 373
  • Control and Systems Engineering 245
  • Mechanical Engineering 111
  • Cognitive Neuroscience 45
  • Human-Computer Interaction 30
Replace María Pozzi with:
María Pozzi Italy
F.B. Ouezdou France
Wookeun Park South Korea
Umberto Scarcia Italy
João Ramos United States
Toru TSUMUGIWA Japan
Ed Colgate United States
Milad Geravand Germany
Eric Kubica Canada
Valerio Ortenzi United Kingdom
Byeong-Sang Kim relative to María Pozzi Italy María Pozzi's profile →
Citations per field
00.5×12.3×
María Pozzi · 1×
Citations per year

Countries citing papers authored by Byeong-Sang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Byeong-Sang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byeong-Sang Kim

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 5
2
A strategy for connector assembly using impedance control for industrial robots
3
3 15
4 101
5 1
6 15
7 8
8 23
9 85
10 62
11 24
12 5
13 34
14 39
15
Double Actuator Unit based on the Planetary Gear Train Capable of Position/Force Control
1
16 13
17 43
18 0

About Byeong-Sang Kim

Byeong-Sang Kim is a scholar working on Control and Systems Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Prosthetics and Rehabilitation Robotics (11 papers) and Soft Robotics and Applications (7 papers). The work is most often cited by research in Control and Systems Engineering (245 citations), Biomedical Engineering (373 citations) and Human-Computer Interaction (30 citations). Byeong-Sang Kim has collaborated with scholars based in South Korea. Frequent co-authors include Jae-Bok Song, Jung-Jun Park, Jae‐Bok Song, Hong‐Seok Kim, Shinsuk Park and Jung-Jun Park. Their work appears in journals such as IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics and Lecture notes in computer science.

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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