Won-Ho Kim

38 total papers · 648 total citations
17 papers, 496 citations indexed

About

Won-Ho Kim is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Won-Ho Kim has authored 17 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Won-Ho Kim's work include Cloud Computing and Resource Management (4 papers), Software-Defined Networks and 5G (4 papers) and Network Security and Intrusion Detection (3 papers). Won-Ho Kim is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Software-Defined Networks and 5G (4 papers) and Network Security and Intrusion Detection (3 papers). Won-Ho Kim collaborates with scholars based in South Korea, United States and Canada. Won-Ho Kim's co-authors include Praveen Yalagandula, Andrew R. Curtis, Puneet Sharma, Sung-Ju Lee, Sujata Banerjee, Jeongkeun Lee, Jean Tourrilhes, Vivek S. Pai, Jae-Young Ahn and Yee Jiun Song and has published in prestigious journals such as IEEE Transactions on Consumer Electronics, Symmetry and Concurrency and Computation Practice and Experience.

In The Last Decade

Won-Ho Kim

13 papers receiving 476 citations

Hit Papers

Mahout: Low-overhead data... 2011 2026 2016 2021 2011 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
Won-Ho Kim 457 217 121 74 38 17 496
Ismail AlQerm 360 0.8× 191 0.9× 205 1.7× 92 1.2× 37 1.0× 18 503
Michael Butkiewicz 381 0.8× 240 1.1× 107 0.9× 69 0.9× 56 1.5× 11 455
Mateus Augusto Silva Santos 496 1.1× 73 0.3× 219 1.8× 53 0.7× 32 0.8× 21 551
Yong He 474 1.0× 135 0.6× 245 2.0× 47 0.6× 23 0.6× 23 529
Adiseshu Hari 458 1.0× 145 0.7× 169 1.4× 64 0.9× 36 0.9× 19 510
Matt Calder 521 1.1× 140 0.6× 90 0.7× 178 2.4× 61 1.6× 28 591
Katherine Guo 487 1.1× 96 0.4× 133 1.1× 83 1.1× 146 3.8× 27 564
Sean Donovan 521 1.1× 71 0.3× 150 1.2× 105 1.4× 13 0.3× 14 551
Yue-Hsun Lin 354 0.8× 214 1.0× 90 0.7× 181 2.4× 46 1.2× 22 511
Anish Mathuria 336 0.7× 229 1.1× 56 0.5× 245 3.3× 48 1.3× 17 449

Countries citing papers authored by Won-Ho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won-Ho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Ho Kim. 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 Won-Ho Kim. The network helps show where Won-Ho Kim may publish in the future.

Co-authorship network of co-authors of Won-Ho Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Ho Kim. A scholar is included among the top collaborators of Won-Ho Kim 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 Won-Ho Kim. Won-Ho Kim 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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