Samuel Choi

61 papers receiving 472 citations

Peers

Samuel Choi
Comparison fields: 5 of 101
  • Sensory Systems 30
  • Instrumentation 21
  • Computer Vision and Pattern Recognition 116
  • Biomedical Engineering 171
  • Biophysics 22
Replace Yukio Ueda with:
Yukio Ueda Japan
Izumi Nishidate Japan
Yu-Cheng Chou Taiwan
Daniel Vázquez Spain
H. Kadono Japan
David Briers Belgium
Florian Foschum Germany
Martial Geiser Switzerland
Babu Varghese Netherlands
Giuseppe Rossi Italy
Samuel Choi relative to Yukio Ueda Japan Yukio Ueda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Samuel Choi

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 200641
3 201931
4 198325
5 198125
6 201925
7 201218
8 198417
9
Infantile Krabbe disease: complementary CT and MR findings.
199316
10 201613
11 201713
12 200712
13 200512
14 200911
15 201710
16 20209
17 20189
18 20178
19 20127
20 20227

About Samuel Choi

Samuel Choi is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanical Engineering and Atomic and Molecular Physics, and Optics, having authored 69 papers that have together received 492 indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (34 papers), Optical measurement and interference techniques (24 papers), Photoacoustic and Ultrasonic Imaging (20 papers), Advanced Measurement and Metrology Techniques (13 papers), Advanced Fiber Optic Sensors (12 papers), Surface Roughness and Optical Measurements (10 papers), Advanced Fiber Laser Technologies (9 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). The work is most often cited by research in Sensory Systems (30 citations), Instrumentation (21 citations), Computer Vision and Pattern Recognition (116 citations), Biomedical Engineering (171 citations) and Biophysics (22 citations). Samuel Choi has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Osami Sasaki, Takamasa Suzuki, Takashi Kurokawa, Hyung‐Min Choi, Tatsutoshi Shioda, J. Richard Jennings, Yosuke Tanaka, Fumiaki Nin, Hiroshi Hibino and Dieter R. Enzmann. Their work appears in journals such as Optics Communications, Applied Optics, Optics Express, Optical Engineering and Biomedical Optics Express.

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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