Young‐Gab Kim

196 total papers · 7.2k total citations
129 papers, 2.9k citations indexed

About

Young‐Gab Kim is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Young‐Gab Kim has authored 129 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Information Systems, 59 papers in Computer Networks and Communications and 38 papers in Artificial Intelligence. Recurrent topics in Young‐Gab Kim's work include Cloud Data Security Solutions (16 papers), IoT and Edge/Fog Computing (16 papers) and Access Control and Trust (15 papers). Young‐Gab Kim is often cited by papers focused on Cloud Data Security Solutions (16 papers), IoT and Edge/Fog Computing (16 papers) and Access Control and Trust (15 papers). Young‐Gab Kim collaborates with scholars based in South Korea, United States and India. Young‐Gab Kim's co-authors include Sangmin Park, June‐Young Koh, Euijong Lee, Young-Duk Seo, Se-Ra Oh, Jisun Lee, Doo-Kwon Baik, Aamir Shahzad, Sang‐Min Park and Yujun Kim and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Communications Magazine.

In The Last Decade

Young‐Gab Kim

121 papers receiving 2.7k citations

Hit Papers

A Metaverse: Taxonomy, Co... 2021 2026 2022 2024 2022 2021 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Young‐Gab Kim 965 700 633 554 487 129 2.9k
Florian Michahelles 627 0.6× 699 1.0× 298 0.5× 378 0.7× 739 1.5× 139 2.9k
Simon Gibbs 1.0k 1.1× 854 1.2× 643 1.0× 851 1.5× 480 1.0× 37 2.8k
Alan Borning 723 0.7× 1.0k 1.5× 1.2k 1.9× 1.2k 2.1× 910 1.9× 124 5.0k
Jeffrey Nichols 786 0.8× 243 0.3× 673 1.1× 943 1.7× 479 1.0× 114 2.8k
Marian Petre 1.4k 1.4× 320 0.5× 688 1.1× 561 1.0× 299 0.6× 163 4.1k
Marc Langheinrich 694 0.7× 408 0.6× 522 0.8× 993 1.8× 845 1.7× 160 2.8k
Licia Capra 1.4k 1.5× 1.3k 1.8× 942 1.5× 310 0.6× 604 1.2× 126 5.0k
Amy J. Ko 2.3k 2.4× 506 0.7× 890 1.4× 756 1.4× 277 0.6× 153 5.4k
A. J. Bernheim Brush 806 0.8× 479 0.7× 391 0.6× 1.3k 2.3× 619 1.3× 92 3.3k
m.c. schraefel 1.0k 1.1× 435 0.6× 1.1k 1.8× 1.0k 1.9× 457 0.9× 212 3.8k

Countries citing papers authored by Young‐Gab Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Gab Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Gab Kim

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