Taesoo Kwon

1.1k citations
74 papers · 734 · h-index 15

Impact in

Papers in

Taesoo Kwon

60 papers receiving 703 citations

Peers

Taesoo Kwon
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 398
  • Control and Systems Engineering 435
  • Molecular Medicine 47
  • Ocean Engineering 144
  • Computer Graphics and Computer-Aided Design 28
Replace Junfa Liu with:
Junfa Liu China
Andreas Wendel Germany
Wolfgang Krüger Germany
Weinan Chen China
Michihiro Kawanishi Japan
Cheng Lin China
Na Lv China
Yen-Ping Chen Taiwan
Yimin Song China
Xin Kong China
Taesoo Kwon relative to Junfa Liu China Junfa Liu's profile →
Citations per field
00.5×5.1×
Junfa Liu · 1×
Citations per year

Countries citing papers authored by Taesoo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Taesoo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200880
2 201469
3 200569
4 200954
5 201443
6 200838
7 202028
8 201727
9 201725
10 201624
11 201620
12 201117
13 200917
14 200817
15 201516
16 201714
17 202114
18 201513
19 201410
20 20189

About Taesoo Kwon

Taesoo Kwon is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Human-Computer Interaction and Ocean Engineering, having authored 74 papers that have together received 734 indexed citations. Recurring topics across this work include Human Motion and Animation (35 papers), Human Pose and Action Recognition (31 papers), Video Analysis and Summarization (15 papers), Evacuation and Crowd Dynamics (6 papers), Escherichia coli research studies (6 papers), Hand Gesture Recognition Systems (5 papers), Transportation Safety and Impact Analysis (5 papers) and 3D Shape Modeling and Analysis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (398 citations), Control and Systems Engineering (435 citations), Molecular Medicine (47 citations), Ocean Engineering (144 citations) and Computer Graphics and Computer-Aided Design (28 citations). Taesoo Kwon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jehee Lee, Sung Yong Shin, Shigeo Takahashi, Kang Hoon Lee, Yoonsang Lee, Jessica K. Hodgins, Moon Seok Park, Jongmin Kim, Yeongho Seol and Young Cho. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Graphics, Gut Pathogens, IEEE Access and The Visual Computer.

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.

Explore authors with similar magnitude of impact