Euiseok Kim

62 total papers · 931 total citations
33 papers, 668 citations indexed

About

Euiseok Kim is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Euiseok Kim has authored 33 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hardware and Architecture, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Euiseok Kim's work include Parallel Computing and Optimization Techniques (8 papers), Innovation and Knowledge Management (5 papers) and Embedded Systems Design Techniques (4 papers). Euiseok Kim is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Innovation and Knowledge Management (5 papers) and Embedded Systems Design Techniques (4 papers). Euiseok Kim collaborates with scholars based in South Korea, United States and Canada. Euiseok Kim's co-authors include Wonjoon Kim, Bo Duan, Longzhen Cheng, Stephanie C. Koch, Steeve Bourane, Anirvan Ghosh, Martyn Goulding, Olivier Britz, Lidia García‐Campmany and Qiufu Ma and has published in prestigious journals such as Science, Cancer Cell and AIDS.

In The Last Decade

Euiseok Kim

30 papers receiving 656 citations

Author Peers

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

Author Last Decade Papers Cites
Euiseok Kim 124 104 98 97 87 33 668
Richard Tee 66 0.5× 22 0.2× 36 0.4× 3 0.0× 33 0.4× 35 602
Seoyeon Lee 285 2.3× 54 0.5× 6 0.1× 10 0.1× 11 0.1× 50 770
Muhammad Farooq 150 1.2× 31 0.3× 3 0.0× 57 0.6× 14 0.2× 52 592
Renyu Zhang 28 0.2× 22 0.2× 18 0.2× 20 0.2× 9 0.1× 29 660
Kaushik Sridhar 147 1.2× 34 0.3× 15 0.2× 6 0.1× 10 0.1× 32 724
Yuan Li 148 1.2× 19 0.2× 18 0.2× 6 0.1× 8 0.1× 32 615
Jeff Johnson 260 2.1× 69 0.7× 40 0.4× 5 0.1× 58 0.7× 28 714
Weiqi Liu 99 0.8× 31 0.3× 7 0.1× 4 0.0× 16 0.2× 61 679
Zhenglei He 241 1.9× 22 0.2× 8 0.1× 16 0.2× 11 0.1× 33 752
Syed Amir Iqbal 202 1.6× 7 0.1× 37 0.4× 29 0.3× 33 0.4× 29 602

Countries citing papers authored by Euiseok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Euiseok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Euiseok Kim

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