Intaek Kim

701 citations
56 papers · 442 · h-index 9

Impact in

Papers in

Intaek Kim

45 papers receiving 404 citations

Peers

Intaek Kim
Comparison fields: 5 of 123
  • Health Information Management 96
  • Analytical Chemistry 75
  • Computer Vision and Pattern Recognition 87
  • Biophysics 21
  • Media Technology 27
Replace Rabbia Mahum with:
Rabbia Mahum Pakistan
Umair Khan Pakistan
Rahul Nijhawan India
Mayank Arya Chandra India
Chiao-Wen Liu Taiwan
Carlos de Oliveira Affonso Brazil
Mahesh Gour India
S. R. Sannasi Chakravarthy India
Aqib Ali Pakistan
Baljit Singh Khehra India
Intaek Kim relative to Rabbia Mahum Pakistan Rabbia Mahum's profile →
Citations per field
00.5×10×14×
Rabbia Mahum · 1×
Citations per year

Countries citing papers authored by Intaek Kim

Since Specialization
Citations

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

Fields of papers citing papers by Intaek Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021146
2 200463
3 200237
4 201323
5 200115
6 199915
7
Detection of bruise damage of pear using hyperspectral imagery
201213
8 200911
9 20149
10 20188
11 20147
12 20097
13
FAST PARALLEL CONNECTED COMPONENT LABELING ALGORITHMS USING CUDA BASED ON 8-DIRECTIONAL LABEL SELECTION
20147
14 20066
15 20125
16 20095
17 20034
18 20084
19
A Case of Primary Central Nervous System Lymphoma with Ocular Involvement
20053
20 20143

About Intaek Kim

Intaek Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Plant Science and Analytical Chemistry, having authored 56 papers that have together received 442 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Ecology and Conservation Studies (6 papers), Agriculture, Soil, Plant Science (6 papers), Blind Source Separation Techniques (5 papers), Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (4 papers), Neural Networks and Applications (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Health Information Management (96 citations), Analytical Chemistry (75 citations), Computer Vision and Pattern Recognition (87 citations), Biophysics (21 citations) and Media Technology (27 citations). Intaek Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Seong G. Kong, Yud-Ren Chen, Moon S. Kim, Asif Khan, Malik M. Khan, Byoung–Kwan Cho, Joo‐Hung Park, Minho Shin, Alan M. Lefcourt and Chengzhe Xu. Their work appears in journals such as Applied Sciences, Molecules and Cells, The Journal of the Acoustical Society of America, Nuclear Engineering and Technology and Diabetes.

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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