S.I. Kim

545 citations
17 papers · 387 indexed · h-index 7
Topics
Blind Source Separation Techniques (3 papers)AI in cancer detection (2 papers)EEG and Brain-Computer Interfaces (2 papers)
Journals
Medical Engineering & PhysicsIEEE Transactions on Information Technology in BiomedicineThe Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry)
Partner nations
South KoreaUnited States

In The Last Decade

S.I. Kim

16 papers receiving 364 citations

Peers

S.I. Kim
Comparison fields: 5 of 90
  • Cognitive Neuroscience 143
  • Cardiology and Cardiovascular Medicine 119
  • Human-Computer Interaction 83
  • Biomedical Engineering 68
  • Experimental and Cognitive Psychology 48
Replace I.Y. Kim with:
I.Y. Kim South Korea
Yunseo Ku South Korea
Stefan Gradl Germany
Christopher Schölzel Germany
Siti Armiza Mohd Aris Malaysia
Dennis Majoe Switzerland
Ahmad Rauf Subhani Malaysia
Simone Tognetti Italy
Jesús Minguillón Spain
Niaz Chalabianloo Türkiye
S.I. Kim relative to I.Y. Kim South Korea I.Y. Kim's profile →
Citations per field
00.5×1.6×
I.Y. Kim · 1×
Citations per year

Countries citing papers authored by S.I. Kim

Since Specialization
Citations

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

Fields of papers citing papers by S.I. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.I. Kim

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 49
3 80
4 1
5 6
6 3
7 34
8 1
9 2
10 9
11 4
12 0
13 64
14 114
15 2
16 13
17 2

About S.I. Kim

S.I. Kim is a scholar working on Health Information Management, Signal Processing and Physical Therapy, Sports Therapy and Rehabilitation, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (3 papers), AI in cancer detection (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Human-Computer Interaction (83 citations), Cognitive Neuroscience (143 citations) and Cardiology and Cardiovascular Medicine (119 citations). S.I. Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include I.Y. Kim, Dong Pyo Jang, Mark D. Wiederhold, Brenda K. Wiederhold, In Young Kim, Baek Hwan Cho, Ying Jie Chee, J.S. Lee, Hwanjo Yu and Jong-Seok Kim. Their work appears in journals such as Medical Engineering & Physics, IEEE Transactions on Information Technology in Biomedicine and The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry).

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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