Ted Kwon

890 citations
36 papers · 650 · h-index 12

Impact in

    • Caching and Content Delivery
    • Opportunistic and Delay-Tolerant Networks
    • Cooperative Communication and Network Coding
    • Network Security and Intrusion Detection
    • Peer-to-Peer Network Technologies
    • Software-Defined Networks and 5G
    • Internet Traffic Analysis and Secure E-voting

Papers in

Ted Kwon

35 papers receiving 629 citations

Peers

Ted Kwon
Comparison fields: 5 of 47
  • Computer Networks and Communications 583
  • Artificial Intelligence 166
  • Signal Processing 54
  • Hardware and Architecture 19
  • Information Systems 57
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Citations per field
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Citations per year

Countries citing papers authored by Ted Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ted Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011167
2 201099
3 201352
4 201137
5 201134
6 201432
7 200925
8 201424
9 201423
10 201423
11 201918
12 201216
13 201911
14 20148
15 20158
16 20106
17 20096
18 20146
19 20106
20 20195

About Ted Kwon

Ted Kwon is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 36 papers that have together received 650 indexed citations. Recurring topics across this work include Caching and Content Delivery (19 papers), Peer-to-Peer Network Technologies (12 papers), Opportunistic and Delay-Tolerant Networks (9 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Cooperative Communication and Network Coding (5 papers), Advanced Data Storage Technologies (3 papers), Network Traffic and Congestion Control (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (583 citations), Artificial Intelligence (166 citations), Signal Processing (54 citations), Hardware and Architecture (19 citations) and Information Systems (57 citations). Ted Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Yanghee Choi, Jinyoung Han, Eunsang Cho, Jaeyoung Choi, Xiaofei Wang, T. J. Kim, Chong-kwon Kim, Jiwoong Jeong, Munyoung Lee and Yeon-sup Lim. Their work appears in journals such as IEEE Communications Magazine, ACM SIGCOMM Computer Communication Review, IEEE Wireless Communications, IEEE Network and ACM SIGMETRICS Performance Evaluation Review.

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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