Seon Joo Kim

58 papers receiving 2.5k citations

Hit Papers

Deep Video Super-Resolution Network Using Dynamic Upsampl...20182026202020232018100200300

Peers

Seon Joo Kim
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 2.2k
  • Media Technology 701
  • Aerospace Engineering 281
  • Atomic and Molecular Physics, and Optics 255
  • Artificial Intelligence 124
Replace Tomáš Suk with:
Tomáš Suk Czechia
Moshe Ben-Ezra China
Jon Yngve Hardeberg Norway
Joon‐Young Lee South Korea
Ayan Chakrabarti United States
Qi Shan United States
Keigo Hirakawa United States
Guolei Sun Switzerland
Imari Sato Japan
Chia‐Kai Liang Taiwan
Seon Joo Kim relative to Tomáš Suk Czechia Tomáš Suk's profile →
Citations per field
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Tomáš Suk · 1×
Citations per year

Countries citing papers authored by Seon Joo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seon Joo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seon Joo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seon Joo Kim. A scholar is included among the top collaborators of Seon Joo 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 Seon Joo Kim. Seon Joo 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
#WorkIndexed citations
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Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensationbreakdown →
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15 107
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17 29
18 182
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High-Resolution Multiscale Panoramic Mosaics from Pan-Tilt-Zoom Cameras.
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About Seon Joo Kim

Seon Joo Kim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics, having authored 61 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (25 papers), Image Enhancement Techniques (17 papers) and Advanced Image Processing Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Media Technology (701 citations) and Computer Graphics and Computer-Aided Design (71 citations). Seon Joo Kim has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Seoung Wug Oh, Marc Pollefeys, Younghyun Jo, Michael S. Brown, Joon‐Young Lee, Jaeyeon Kang, Junhong Gao, In So Kweon, Youngbae Hwang and Seonghyeon Nam. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

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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