T.-S. Kim

821 citations
22 papers · 672 · h-index 10

Impact in

Papers in

T.-S. Kim

21 papers receiving 624 citations

Peers

T.-S. Kim
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 400
  • Human-Computer Interaction 52
  • Neurology 51
  • Experimental and Cognitive Psychology 70
  • Transportation 36
Replace Ngoc-Huynh Ho with:
Ngoc-Huynh Ho South Korea
Sugondo Hadiyoso Indonesia
Wenlong Hang China
Xujing Yao United Kingdom
Pengcheng Xi Canada
Jinsul Kim South Korea
K. Vasanth India
Giuliano Grossi Italy
T.-S. Kim relative to Ngoc-Huynh Ho South Korea Ngoc-Huynh Ho's profile →
Citations per field
00.5×10×20×30×39×
Ngoc-Huynh Ho · 1×
Citations per year

Countries citing papers authored by T.-S. Kim

Since Specialization
Citations

This map shows the geographic impact of T.-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 T.-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 T.-S. Kim more than expected).

Fields of papers citing papers by T.-S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T.-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 T.-S. Kim Line = papers co-authored together T.-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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2017100
3 200986
4 200874
5 201663
6 200540
7 200420
8 200815
9 200813
10 200912
11 20179
12 20178
13 20087
14 20177
15 20054
16 20054
17 20054
18 20063
19 20052
20 20052

About T.-S. Kim

T.-S. Kim is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Signal Processing and Artificial Intelligence, having authored 22 papers that have together received 672 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Blind Source Separation Techniques (4 papers), Electrical and Bioimpedance Tomography (4 papers), Advanced MRI Techniques and Applications (4 papers), Anomaly Detection Techniques and Applications (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Geophysical and Geoelectrical Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (400 citations), Human-Computer Interaction (52 citations), Neurology (51 citations), Experimental and Cognitive Psychology (70 citations) and Transportation (36 citations). T.-S. Kim has collaborated with scholars based in South Korea, United States and Ecuador. Frequent co-authors include Adil Khan, S. Y. Lee, Md. Zia Uddin, Jeong Hoon Lee, Mohammed A. Al‐masni, Mugahed A. Al–antari, Tae‐Yop Kim, Patricio Rivera, Sola Han and Jane Lee. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Consumer Electronics, IEEE Transactions on Broadcasting, Journal of Neuroscience Methods and Conference proceedings.

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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