Hyoseung Kim

112 total papers · 1.6k total citations
72 papers, 1.1k citations indexed

About

Hyoseung Kim is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyoseung Kim has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Hardware and Architecture, 40 papers in Computer Networks and Communications and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyoseung Kim's work include Real-Time Systems Scheduling (38 papers), Parallel Computing and Optimization Techniques (28 papers) and Distributed systems and fault tolerance (16 papers). Hyoseung Kim is often cited by papers focused on Real-Time Systems Scheduling (38 papers), Parallel Computing and Optimization Techniques (28 papers) and Distributed systems and fault tolerance (16 papers). Hyoseung Kim collaborates with scholars based in United States, South Korea and Poland. Hyoseung Kim's co-authors include Ragunathan Rajkumar, Dionisio de Niz, Björn Andersson, Arvind Kandhalu, Mark Klein, Onur Mutlu, Karthik Lakshmanan, Hojung Cha, Junsung Kim and Shige Wang and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Hyoseung Kim

67 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Hyoseung Kim 720 634 179 145 130 72 1.1k
Kyoung‐Don Kang 325 0.5× 836 1.3× 255 1.4× 110 0.8× 114 0.9× 73 1.1k
Mario Tokoro 419 0.6× 646 1.0× 217 1.2× 107 0.7× 369 2.8× 85 1.2k
Karthik Lakshmanan 1.1k 1.5× 972 1.5× 174 1.0× 76 0.5× 58 0.4× 28 1.5k
Apostolos Dollas 357 0.5× 294 0.5× 311 1.7× 113 0.8× 257 2.0× 93 971
Flávio Rech Wagner 495 0.7× 609 1.0× 255 1.4× 52 0.4× 106 0.8× 102 966
Masato Edahiro 502 0.7× 304 0.5× 466 2.6× 157 1.1× 104 0.8× 88 929
Fei Xie 304 0.4× 337 0.5× 276 1.5× 99 0.7× 160 1.2× 111 956
Hiroaki Takada 1.1k 1.5× 667 1.1× 389 2.2× 55 0.4× 133 1.0× 189 1.4k
Raid Ayoub 662 0.9× 726 1.1× 468 2.6× 52 0.4× 92 0.7× 52 1.1k
Iain Bate 804 1.1× 491 0.8× 128 0.7× 45 0.3× 138 1.1× 142 1.3k

Countries citing papers authored by Hyoseung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyoseung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyoseung Kim

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