James D. K. Kim

629 citations
38 papers · 464 · h-index 12

Impact in

Papers in

James D. K. Kim

37 papers receiving 441 citations

Peers

James D. K. Kim
Comparison fields: 5 of 78
  • Instrumentation 180
  • Computer Graphics and Computer-Aided Design 50
  • Human-Computer Interaction 61
  • Biophysics 43
  • Computer Vision and Pattern Recognition 151
Replace Chang-Yeong Kim with:
Chang-Yeong Kim South Korea
Michal E. Pawlowski United States
Chu Zhou China
Nitish Padmanaban United States
Stephen J. Carey United Kingdom
Christopher Peters United States
Mostafa Agour Egypt
Vitor F. Pamplona Brazil
Eric J. Seibel United States
Mu Qiao United States
James D. K. Kim relative to Chang-Yeong Kim South Korea Chang-Yeong Kim's profile →
Citations per field
00.5×7.5×
Chang-Yeong Kim · 1×
Citations per year

Countries citing papers authored by James D. K. Kim

Since Specialization
Citations

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

Fields of papers citing papers by James D. K. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202170
2 202164
3 201250
4 201038
5 201438
6 201136
7 201215
8 201214
9 201114
10 201213
11 201012
12 201011
13 201411
14 20119
15 20127
16
A 640×480 image sensor with unified pixel architecture for 2D/3D imaging in 0.11µm CMOS
20117
17 20126
18 20125
19 20104
20 20124

About James D. K. Kim

James D. K. Kim is a scholar working on Computer Vision and Pattern Recognition, Instrumentation, Electrical and Electronic Engineering, Media Technology and Biomedical Engineering, having authored 38 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (14 papers), Advanced Vision and Imaging (9 papers), CCD and CMOS Imaging Sensors (6 papers), Optical measurement and interference techniques (5 papers), Image Processing Techniques and Applications (5 papers), Computer Graphics and Visualization Techniques (5 papers), Medical Image Segmentation Techniques (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Instrumentation (180 citations), Computer Graphics and Computer-Aided Design (50 citations), Human-Computer Interaction (61 citations), Biophysics (43 citations) and Computer Vision and Pattern Recognition (151 citations). James D. K. Kim has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Seong‐Jin Kim, Chang-Yeong Kim, Won Ho Chung, Hong Jin Jeon, Dowan Kim, Kyung‐Ah Park, Dong Jun Kim, Yong Sun Kim, Hwasup Lim and Seungkyu Lee. Their work appears in journals such as IEEE Journal of Solid-State Circuits, International Psychogeriatrics, Computer Graphics Forum, Scientific Reports and Liquid Crystals.

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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