Beom Kwon
Impact in
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- Human Pose and Action Recognition
- Face recognition and analysis
- Human-Computer Interaction top 10%
Papers in
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- Human Pose and Action Recognition 6
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- PAPR reduction in OFDM 5
- Advanced MIMO Systems Optimization 4
- Co-authors
- Sanghoon Lee (29 shared papers)Seonghyun Kim (7 shared papers)Junghwan Kim (2 shared papers)Taewan Kim (1 shared paper)Ho-Jae Lee (5 shared papers)Sangjoon Park (1 shared paper)H. C. Song (3 shared papers)Hyukmin Son (2 shared papers)
- Journals
- IEEE Access (7 papers)IEEE Transactions on Broadcasting (2 papers)Applied Sciences (2 papers)IEEE Transactions on Vehicular Technology (2 papers)Wireless Networks (2 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Beom Kwon
33 papers receiving 332 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 142
- Human-Computer Interaction 32
- Computer Networks and Communications 84
- Electrical and Electronic Engineering 159
- Artificial Intelligence 76
Countries citing papers authored by Beom Kwon
This map shows the geographic impact of Beom 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 Beom Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beom Kwon more than expected).
Fields of papers citing papers by Beom Kwon
This network shows the impact of papers produced by Beom 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 Beom Kwon. The network helps show where Beom Kwon may publish in the future.
Co-authors
The 18 scholars most cited alongside Beom Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2017 | 40 | |
| 3 | 2016 | 19 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2016 | 14 | |
| 7 | 2016 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2017 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2014 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2015 | 7 |
About Beom Kwon
Beom Kwon is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 38 papers that have together received 367 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), PAPR reduction in OFDM (5 papers), Wireless Communication Networks Research (5 papers), Algorithms and Data Compression (5 papers), Advanced MIMO Systems Optimization (4 papers), Cooperative Communication and Network Coding (4 papers), Hand Gesture Recognition Systems (3 papers) and Gait Recognition and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (142 citations), Human-Computer Interaction (32 citations), Computer Networks and Communications (84 citations), Electrical and Electronic Engineering (159 citations) and Artificial Intelligence (76 citations). Beom Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sanghoon Lee, Seonghyun Kim, Junghwan Kim, Taewan Kim, Ho-Jae Lee, Sangjoon Park, H. C. Song, Hyukmin Son, Jinwoo Kim and Jiwoo Kang. Their work appears in journals such as IEEE Access, IEEE Transactions on Broadcasting, Applied Sciences, IEEE Transactions on Vehicular Technology and Wireless Networks.
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.