Beom Kwon

557 citations
39 papers · 395 · h-index 11

Impact in

Papers in

Beom Kwon

36 papers receiving 360 citations

Peers

Beom Kwon
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 157
  • Human-Computer Interaction 35
  • Computer Networks and Communications 88
  • Electrical and Electronic Engineering 164
  • Artificial Intelligence 80
Replace Mohd Fikri Azli Abdullah with:
Mohd Fikri Azli Abdullah Malaysia
Wanru Xu China
Dirk M. Reichardt Germany
Jan Holub Czechia
Lukas Köping Germany
Biying Fu Germany
Edwin Naroska Germany
Phat Nguyen Huu Vietnam
Xiaoguang Zhu China
Marco Bassoli Italy
Beom Kwon relative to Mohd Fikri Azli Abdullah Malaysia Mohd Fikri Azli Abdullah's profile →
Citations per field
00.5×2×2.7×
Mohd Fikri Azli Abdullah · 1×
Citations per year

Countries citing papers authored by Beom Kwon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 21 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.

Border = papers with Beom Kwon Line = papers co-authored together Beom Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201477
2 201741
3 201619
4 202217
5 202117
6 201515
7 201613
8 201612
9 201712
10 202411
11 201411
12 202010
13 201710
14 20209
15 20199
16 20188
17 20238
18 20208
19 20178
20 20157

About Beom Kwon

Beom Kwon is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Human-Computer Interaction, Electrical and Electronic Engineering and Artificial Intelligence, having authored 39 papers that have together received 395 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Wireless Communication Networks Research (5 papers), Algorithms and Data Compression (5 papers), PAPR reduction in OFDM (5 papers), Cooperative Communication and Network Coding (4 papers), Hand Gesture Recognition Systems (4 papers), Advanced MIMO Systems Optimization (4 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Human-Computer Interaction (35 citations), Computer Networks and Communications (88 citations), Electrical and Electronic Engineering (164 citations) and Artificial Intelligence (80 citations). Beom Kwon has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Sanghoon Lee, Seonghyun Kim, Junghwan Kim, Kyoungoh Lee, Taewan Kim, Ho-Jae Lee, Hyukmin Son, Sangjoon Park, H. C. Song and Jongyoo Kim. Their work appears in journals such as IEEE Access, Applied Sciences, Wireless Personal Communications, Digital Signal Processing 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.

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