Gwangsun Kim

33 total papers · 732 total citations
25 papers, 504 citations indexed

About

Gwangsun Kim is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Gwangsun Kim has authored 25 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 19 papers in Hardware and Architecture and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Gwangsun Kim's work include Parallel Computing and Optimization Techniques (19 papers), Interconnection Networks and Systems (14 papers) and Advanced Memory and Neural Computing (9 papers). Gwangsun Kim is often cited by papers focused on Parallel Computing and Optimization Techniques (19 papers), Interconnection Networks and Systems (14 papers) and Advanced Memory and Neural Computing (9 papers). Gwangsun Kim collaborates with scholars based in South Korea, United States and Canada. Gwangsun Kim's co-authors include John Kim, Niladrish Chatterjee, Kevin Hsieh, Mike O’Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler, Sungjoo Yoo, Eiman Ebrahimi and Jung Ho Ahn and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Computer Architecture Letters and ACM SIGARCH Computer Architecture News.

In The Last Decade

Gwangsun Kim

24 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
Gwangsun Kim	399	377	223	82	51	25	504
Yeongon Cho	338 0.8×	371 1.0×	143 0.6×	64 0.8×	48 0.9×	20	493
Ki Hwan Yum	526 1.3×	346 0.9×	292 1.3×	50 0.6×	21 0.4×	48	613
Geoffrey Blake	327 0.8×	285 0.8×	121 0.5×	79 1.0×	31 0.6×	14	450
Enrique Vallejo	409 1.0×	218 0.6×	173 0.8×	56 0.7×	38 0.7×	48	480
Noel Eisley	539 1.4×	440 1.2×	196 0.9×	50 0.6×	21 0.4×	12	604
M.K. Vernon	499 1.3×	275 0.7×	89 0.4×	73 0.9×	38 0.7×	23	555
Amith R. Mamidala	483 1.2×	366 1.0×	73 0.3×	99 1.2×	31 0.6×	27	529
Jaekyu Lee	400 1.0×	395 1.0×	101 0.5×	139 1.7×	28 0.5×	39	541
Rafael Ubal	456 1.1×	499 1.3×	200 0.9×	80 1.0×	37 0.7×	25	613
Peter Bannon	388 1.0×	359 1.0×	258 1.2×	13 0.2×	40 0.8×	14	547

Countries citing papers authored by Gwangsun Kim

Since Specialization

Citations

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

Fields of papers citing papers by Gwangsun Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwangsun Kim

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