Minseok Kwon

98 total papers · 2.1k total citations
64 papers, 1.1k citations indexed

About

Minseok Kwon is a scholar working on Computer Networks and Communications, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Minseok Kwon has authored 64 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 11 papers in Molecular Biology and 11 papers in Artificial Intelligence. Recurrent topics in Minseok Kwon's work include Caching and Content Delivery (25 papers), Software-Defined Networks and 5G (15 papers) and Peer-to-Peer Network Technologies (12 papers). Minseok Kwon is often cited by papers focused on Caching and Content Delivery (25 papers), Software-Defined Networks and 5G (15 papers) and Peer-to-Peer Network Technologies (12 papers). Minseok Kwon collaborates with scholars based in United States, South Korea and Germany. Minseok Kwon's co-authors include Sonia Fahmy, Tolga Soyata, Wendi Heinzelman, Rajani Muraleedharan, Colin Funai, Taesung Park, Yifan Zhang, Jens Palsberg, Wonil Chung and Kyunga Kim and has published in prestigious journals such as Bioinformatics, Food Chemistry and IEEE/ACM Transactions on Networking.

In The Last Decade

Minseok Kwon

59 papers receiving 1.0k citations

Hit Papers

Cloud-Vision: Real-time f... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minseok Kwon 725 237 192 142 142 64 1.1k
Kalyan Basu 1.1k 1.5× 160 0.7× 626 3.3× 113 0.8× 66 0.5× 85 1.4k
Xinyuan Wang 601 0.8× 115 0.5× 78 0.4× 182 1.3× 647 4.6× 69 1.1k
Paolo Gasti 575 0.8× 476 2.0× 82 0.4× 173 1.2× 443 3.1× 42 1.3k
Hadas Shachnai 825 1.1× 120 0.5× 120 0.6× 64 0.5× 138 1.0× 86 1.2k
Muddassar Farooq 978 1.3× 285 1.2× 280 1.5× 101 0.7× 370 2.6× 54 1.3k
Seunghak Lee 461 0.6× 291 1.2× 140 0.7× 370 2.6× 637 4.5× 24 1.1k
Xingjie Liu 233 0.3× 395 1.7× 97 0.5× 87 0.6× 250 1.8× 58 981
David R. White 207 0.3× 368 1.6× 102 0.5× 88 0.6× 545 3.8× 53 1.3k
Yanjiang Yang 370 0.5× 497 2.1× 116 0.6× 127 0.9× 635 4.5× 61 1.1k
Ying Li 547 0.8× 467 2.0× 149 0.8× 80 0.6× 369 2.6× 107 1.3k

Countries citing papers authored by Minseok Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseok Kwon

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

All Works

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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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