Saejoon Kim

65 total papers · 566 total citations
46 papers, 363 citations indexed

About

Saejoon Kim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Saejoon Kim has authored 46 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 16 papers in Electrical and Electronic Engineering and 12 papers in Molecular Biology. Recurrent topics in Saejoon Kim's work include Error Correcting Code Techniques (13 papers), Cooperative Communication and Network Coding (12 papers) and Advanced Wireless Communication Techniques (12 papers). Saejoon Kim is often cited by papers focused on Error Correcting Code Techniques (13 papers), Cooperative Communication and Network Coding (12 papers) and Advanced Wireless Communication Techniques (12 papers). Saejoon Kim collaborates with scholars based in South Korea and United States. Saejoon Kim's co-authors include Sejong Yoon, Sae-Young Chung, Jun Heo, Ahmet H. Kirca, Pravin Nath, Donghyuk Shin, Jun Heo, Hyunseok Chang, Jihoon Yang and Sung Hoon Kim and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Journal of Retailing.

In The Last Decade

Saejoon Kim

42 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Saejoon Kim 125 119 97 53 41 46 363
Xiaoli Chen 86 0.7× 41 0.3× 61 0.6× 10 0.2× 27 0.7× 45 400
Kavitha Chandra 144 1.2× 78 0.7× 53 0.5× 8 0.2× 47 1.1× 45 333
Ali Kakhbod 63 0.5× 109 0.9× 35 0.4× 13 0.2× 127 3.1× 49 381
Monika Mangla 70 0.6× 58 0.5× 126 1.3× 11 0.2× 80 2.0× 53 388
Yuyu Yuan 59 0.5× 33 0.3× 110 1.1× 16 0.3× 30 0.7× 47 368
Jun Hu 64 0.5× 20 0.2× 55 0.6× 32 0.6× 32 0.8× 46 386
Tadaaki Hosaka 27 0.2× 23 0.2× 117 1.2× 13 0.2× 58 1.4× 28 329
Jinghua Tan 28 0.2× 79 0.7× 112 1.2× 7 0.1× 167 4.1× 32 340
Xiaoli Guo 19 0.2× 52 0.4× 40 0.4× 31 0.6× 17 0.4× 63 299
Eyal Beigman 75 0.6× 44 0.4× 201 2.1× 5 0.1× 86 2.1× 20 381

Countries citing papers authored by Saejoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Saejoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saejoon Kim

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