Suh-Ryung Kim

134 total papers · 794 total citations
62 papers, 390 citations indexed

About

Suh-Ryung Kim is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Discrete Mathematics and Combinatorics. According to data from OpenAlex, Suh-Ryung Kim has authored 62 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Theory and Mathematics, 18 papers in Computer Networks and Communications and 17 papers in Discrete Mathematics and Combinatorics. Recurrent topics in Suh-Ryung Kim's work include Advanced Graph Theory Research (44 papers), Graph Labeling and Dimension Problems (24 papers) and Graph theory and applications (15 papers). Suh-Ryung Kim is often cited by papers focused on Advanced Graph Theory Research (44 papers), Graph Labeling and Dimension Problems (24 papers) and Graph theory and applications (15 papers). Suh-Ryung Kim collaborates with scholars based in South Korea, Japan and United States. Suh-Ryung Kim's co-authors include Fred S. Roberts, Yoshio Sano, Boram Park, F.R. McMorris, Terry A. McKee, Shelley B. Bull, Sun Ah Kim, Yun Joo Yoo, Seog‐Jin Kim and Garth Isaak and has published in prestigious journals such as Bioinformatics, Journal of Mathematical Analysis and Applications and Theoretical Computer Science.

In The Last Decade

Suh-Ryung Kim

53 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Suh-Ryung Kim 261 98 93 75 63 62 390
Anne Berry 293 1.1× 95 1.0× 30 0.3× 47 0.6× 33 0.5× 32 419
Alexander V. Karzanov 267 1.0× 104 1.1× 34 0.4× 53 0.7× 75 1.2× 37 409
Stephan Foldes 186 0.7× 51 0.5× 53 0.6× 23 0.3× 22 0.3× 40 378
Tobias Müller 173 0.7× 50 0.5× 49 0.5× 41 0.5× 73 1.2× 59 361
Cristina G. Fernandes 179 0.7× 96 1.0× 20 0.2× 21 0.3× 32 0.5× 47 385
Geňa Hahn 324 1.2× 59 0.6× 34 0.4× 109 1.5× 190 3.0× 26 425
Erich Prisner 296 1.1× 74 0.8× 8 0.1× 108 1.4× 80 1.3× 31 365
V. F. Kolchin 65 0.2× 36 0.4× 53 0.6× 47 0.6× 68 1.1× 33 382
George B. Mertzios 178 0.7× 175 1.8× 15 0.2× 12 0.2× 17 0.3× 64 374
Ioan Todinca 340 1.3× 159 1.6× 9 0.1× 18 0.2× 39 0.6× 40 393

Countries citing papers authored by Suh-Ryung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suh-Ryung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suh-Ryung Kim

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