Jae Wan Shim

29 total papers · 694 total citations
17 papers, 475 citations indexed

About

Jae Wan Shim is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Jae Wan Shim has authored 17 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 5 papers in Statistical and Nonlinear Physics and 2 papers in Computer Networks and Communications. Recurrent topics in Jae Wan Shim's work include Lattice Boltzmann Simulation Studies (12 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (3 papers). Jae Wan Shim is often cited by papers focused on Lattice Boltzmann Simulation Studies (12 papers), Fluid Dynamics and Turbulent Flows (8 papers) and Model Reduction and Neural Networks (3 papers). Jae Wan Shim collaborates with scholars based in South Korea, France and United States. Jae Wan Shim's co-authors include Soo‐Jin Oh, C. Justin Lee, Jin Young Bae, Dong Ho Woo, Jae‐Yong Park, Eun Mi Hwang, Kyung-Seok Han, Bo-Eun Yoon, Eun‐Ju Kim and Alan D. Marmorstein and has published in prestigious journals such as Cell, Current Biology and Scientific Reports.

In The Last Decade

Jae Wan Shim

16 papers receiving 472 citations

Author Peers

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

Author Last Decade Papers Cites
Jae Wan Shim 246 155 118 117 58 17 475
Wei Zhou 144 0.6× 92 0.6× 86 0.7× 226 1.9× 82 1.4× 24 528
Artem Khmelinskii 71 0.3× 121 0.8× 48 0.4× 34 0.3× 140 2.4× 22 437
Jea Kwon 221 0.9× 147 0.9× 115 1.0× 118 1.0× 66 1.1× 19 524
Chaim Glück 176 0.7× 99 0.6× 214 1.8× 133 1.1× 55 0.9× 16 549
Wenhui Qu 123 0.5× 176 1.1× 118 1.0× 14 0.1× 9 0.2× 21 462
Junji Taguchi 175 0.7× 124 0.8× 126 1.1× 47 0.4× 32 0.6× 23 500
Roland Tammer 74 0.3× 65 0.4× 39 0.3× 38 0.3× 238 4.1× 15 493
Keith Tatsukawa 198 0.8× 122 0.8× 82 0.7× 32 0.3× 117 2.0× 13 480
G. Tavares 117 0.5× 90 0.6× 96 0.8× 15 0.1× 12 0.2× 22 473
Natalia López‐González del Rey 190 0.8× 84 0.5× 85 0.7× 46 0.4× 36 0.6× 16 467

Countries citing papers authored by Jae Wan Shim

Since Specialization
Citations

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

Fields of papers citing papers by Jae Wan Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Wan Shim. 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 Jae Wan Shim. The network helps show where Jae Wan Shim may publish in the future.

Co-authorship network of co-authors of Jae Wan Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Wan Shim. A scholar is included among the top collaborators of Jae Wan Shim 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 Jae Wan Shim. Jae Wan Shim 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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