Uikyum Kim

2.4k citations
63 papers · 1.9k indexed · h-index 22
Topics
Advanced Sensor and Energy Harvesting Materials (31 papers)Robot Manipulation and Learning (21 papers)Soft Robotics and Applications (21 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaAdvanced Functional Materials

In The Last Decade

Uikyum Kim

61 papers receiving 1.9k citations

Peers

Uikyum Kim
Comparison fields: 5 of 82
  • Biomedical Engineering 1.5k
  • Control and Systems Engineering 580
  • Mechanical Engineering 501
  • Surgery 254
  • Cognitive Neuroscience 249
Replace Thanh Nho with:
Thanh Nho Australia
Bertrand Tondu France
Dino Accoto Italy
Yingzhong Tian China
Gareth J. Monkman Germany
Guowu Wei United Kingdom
K. Ikuta Japan
Kean C. Aw New Zealand
Mir Behrad Khamesee Canada
Johannes T. B. Overvelde Netherlands
Uikyum Kim relative to Thanh Nho Australia Thanh Nho's profile →
Citations per field
00.5×1.5×
Thanh Nho · 1×
Citations per year

Countries citing papers authored by Uikyum Kim

Since Specialization
Citations

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

Fields of papers citing papers by Uikyum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uikyum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Uikyum Kim. A scholar is included among the top collaborators of Uikyum 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 Uikyum Kim. Uikyum 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
#WorkIndexed citations
1 3
2 0
3 2
4 2
5 0
6 3
7 18
8 11
9 9
10 18
11 45
12 4
13 7
14 18
15 113
16 21
17 13
18 81
19 77
20 13

About Uikyum Kim

Uikyum Kim is a scholar working on Biomedical Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (31 papers), Robot Manipulation and Learning (21 papers) and Soft Robotics and Applications (21 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), Control and Systems Engineering (580 citations) and Mechanical Engineering (501 citations). Uikyum Kim has collaborated with scholars based in South Korea, United States and Qatar. Frequent co-authors include Hyouk Ryeol Choi, Dong‐Hyuk Lee, Yong Bum Kim, Dong-Yeop Seok, Jinho So, W. Jong Yoon, Blake Hannaford, Gitae Kang, Hyungpil Moon and Hyun Seok Oh. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

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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