Sangkwon Kim

39 papers receiving 283 citations

Peers

Sangkwon Kim
Comparison fields: 5 of 67
  • Numerical Analysis 42
  • Modeling and Simulation 27
  • Computational Mechanics 91
  • Finance 43
  • Computational Theory and Mathematics 67
Replace Youngjin Hwang with:
Youngjin Hwang South Korea
Soobin Kwak South Korea
J. N. Dewynne United Kingdom
Seokjun Ham South Korea
Francesco Solombrino Italy
Hui Yu China
Shao‐Qin Zhang China
Gabriela Planas Brazil
Sangkwon Kim relative to Youngjin Hwang South Korea Youngjin Hwang's profile →
Citations per field
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Youngjin Hwang · 1×
Citations per year

Countries citing papers authored by Sangkwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangkwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sangkwon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sangkwon Kim Line = papers co-authored together Sangkwon Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202134
3 202022
4 202319
5 202015
6 202214
7 201812
8 202012
9 202210
10 20239
11 20208
12 20198
13 20217
14 20207
15 20227
16 20226
17 20216
18 20205
19 20194
20 20234

About Sangkwon Kim

Sangkwon Kim is a scholar working on Computational Mechanics, Materials Chemistry, Finance, Computational Theory and Mathematics and Modeling and Simulation, having authored 40 papers that have together received 288 indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (13 papers), Stochastic processes and financial applications (11 papers), Advanced Mathematical Modeling in Engineering (8 papers), Fluid Dynamics and Thin Films (6 papers), Financial Risk and Volatility Modeling (5 papers), Mathematical Biology Tumor Growth (4 papers), Financial Markets and Investment Strategies (3 papers) and Aluminum Alloy Microstructure Properties (3 papers). The work is most often cited by research in Numerical Analysis (42 citations), Modeling and Simulation (27 citations), Computational Mechanics (91 citations), Finance (43 citations) and Computational Theory and Mathematics (67 citations). Sangkwon Kim has collaborated with scholars based in South Korea, China and Macao. Frequent co-authors include Junseok Kim, Chaeyoung Lee, Soobin Kwak, Sungha Yoon, Darae Jeong, Hyun‐Dong Kim, Hyun Geun Lee, Yibao Li, Youngjin Hwang and Junxiang Yang. Their work appears in journals such as Chaos Solitons & Fractals, Computers & Mathematics with Applications, Computational Economics, Communications in Nonlinear Science and Numerical Simulation and Theoretical and Computational Fluid Dynamics.

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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