Byungsoo Ko

795 citations
15 papers · 398 indexed · h-index 11
Topics
Advanced Neural Network Applications (4 papers)Video Surveillance and Tracking Methods (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
Journals
Peer-to-Peer Networking and ApplicationsStudies in health technology and informatics2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Partner nations
South Korea

In The Last Decade

Byungsoo Ko

14 papers receiving 370 citations

Peers

Byungsoo Ko
Comparison fields: 5 of 81
  • Artificial Intelligence 199
  • Computer Vision and Pattern Recognition 164
  • Applied Psychology 66
  • Experimental and Cognitive Psychology 29
  • Social Psychology 28
Replace Tapotosh Ghosh with:
Tapotosh Ghosh Bangladesh
Rim Helaoui Italy
Sachio Saiki Japan
N. Bhalaji India
Mei Kuan Lim Malaysia
Zurinahni Zainol Malaysia
Gabriele Civitarese Italy
Gaurav Verma India
Omar Shaikh United States
Byungsoo Ko relative to Tapotosh Ghosh Bangladesh Tapotosh Ghosh's profile →
Citations per field
00.5×10×15×20×23×
Tapotosh Ghosh · 1×
Citations per year

Countries citing papers authored by Byungsoo Ko

Since Specialization
Citations

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

Fields of papers citing papers by Byungsoo Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byungsoo Ko

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 45
5 23
6 15
7 17
8 31
9 28
10 10
11 151
12 16
13 30
14 21
15 8

About Byungsoo Ko

Byungsoo Ko is a scholar working on Computer Vision and Pattern Recognition, Applied Psychology and Artificial Intelligence, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Applied Psychology (66 citations), Computer Vision and Pattern Recognition (164 citations) and Artificial Intelligence (199 citations). Byungsoo Ko has collaborated with scholars based in South Korea. Frequent co-authors include Ho‐Jin Choi, Kyo-Joong Oh, Geonmo Gu, Dong Kun Lee, Zhun Li, Sung‐Hyun Lee, Minchul Shin, Chang D. Yoo, Hojin Choi and Jong-Hwan Kim. Their work appears in journals such as Peer-to-Peer Networking and Applications, Studies in health technology and informatics and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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