Daehee Kim

579 total citations
34 papers, 347 citations indexed

About

Daehee Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daehee Kim has authored 34 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Daehee Kim's work include Advanced Vision and Imaging (9 papers), Topic Modeling (4 papers) and Video Surveillance and Tracking Methods (4 papers). Daehee Kim is often cited by papers focused on Advanced Vision and Imaging (9 papers), Topic Modeling (4 papers) and Video Surveillance and Tracking Methods (4 papers). Daehee Kim collaborates with scholars based in South Korea, United States and India. Daehee Kim's co-authors include Jaekoo Lee, Jinkyu Kim, Youngjun Yoo, Seunghyun Park, Hyung Suk Lee, Munchurl Kim, Chieteuk Ahn, Yo-Sung Ho, Lisa D. Spiller and Joonki Paik and has published in prestigious journals such as Sensors, Journal of the Optical Society of America A and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Daehee Kim

25 papers receiving 328 citations

Peers

Daehee Kim
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 215
  • Artificial Intelligence 131
  • Media Technology 29
  • Management of Technology and Innovation 24
  • Signal Processing 20
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Subhashini Ganapathy United States
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Thibault Carron France
Alireza Talebpour Iran
Xiaoxun Zhang China
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Koichi Sato Japan
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Citations per field, relative to Daehee Kim
Daehee Kim · 1×
Citations per year, relative to Daehee Kim
Daehee Kim · 1×

Countries citing papers authored by Daehee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daehee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daehee Kim

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 4
5 6
6 0
7 1
8 0
9 4
10 15
11 2
12 1
13 2
14
Automatic Estimation of Spatially Varying Focal Length for Correcting Distortion in Fisheye Lens Images
2
15
Real-Time Face Pose Recognition Using a Stereo Camera
1
16
What Happens When the Apple Sponsors the Orange? : Congruent and Incongruent Matches of Brands with Events and Image Transfer Effect
2
17
Face Detection and Tracking using Skin Color Information and Haar-Like Features in Real-Time Video
1
18
Combined Active Contour Model and Motion Estimation for Real-Time Object Tracking
3
19
Researsh on Improving the Supporting System for Experiential Environmental Education Programs Funded by Ministry of Environment
0
20 1

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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