The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Junseok Kim sits on this spectrum.
This scientist: 293 publications — 85th percentile
85% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Junseok Kim sits on this spectrum.
This scientist: 46 D-Index — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Junseok Kim is affiliated with Korea University in South Korea and has an extensive publication record spanning engineering and materials science. Their research primarily focuses on areas such as materials chemistry, computational mechanics, computational theory and mathematics, numerical analysis, and modeling and simulation.
The scientist's work frequently appears in journals including Communications in Nonlinear Science and Numerical Simulation, Mathematics, Computers & Mathematics with Applications, Chaos Solitons & Fractals, and AIMS Mathematics. These venues reflect a strong emphasis on applied mathematics and computational methods in engineering contexts.
Recent papers by Junseok Kim cover a range of topics related to complex systems, material behaviors, and numerical techniques. Notable publications include:
Junseok Kim's frequent coauthors include Soobin Kwak, Junxiang Yang, Chaeyoung Lee, Seokjun Ham, and Yibao Li. These collaborations indicate a consistent research network deeply involved in computational modeling and numerical analysis within materials science and engineering.
The main research topics addressed throughout their body of work encompass:
Within the engineering and materials science disciplines, the scientist has contributed to advancing methods for modeling physical and chemical phenomena at multiple scales. Their papers often explore the development of stable, efficient numerical algorithms for solving nonlinear systems that arise in phase-field models and related computational problems.
Junseok Kim
Junseok Kim;Kyungkeun Kang;John Lowengrub
Junseok Kim
Steven M. Wise;Junseok Kim;John S. Lowengrub
Junseok Kim;John Lowengrub
Dongsun Lee;Joo Youl Huh;Darae Jeong;Jaemin Shin
Junseok Kim
Yibao Li;Hyun Geun Lee;Darae Jeong;Junseok Kim
Jeong Whan Choi;Hyun Geun Lee;Darae Jeong;Junseok Kim
Jian Wang;Wei Shao;Junseok Kim
Junseok Kim;Seunggyu Lee;Yongho Choi
James C Y Dunn;Wan Yin Chan;Vittorio Cristini;J. S. Kim
Junseok Kim
Junseok Kim
Junseok Kim;Kyungkeun Kang;John Lowengrub
Hyun Geun Lee;Junseok Kim
Yibao Li;Junseok Kim
S. M. Wise;J. S. Lowengrub;J. S. Kim;K. Thornton
Hyun Geun Lee;Junseok Kim
S.M. Wise;J.S. Lowengrub;J.S. Kim;W.C. Johnson
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Korea Institute of Science and Technology
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RIKEN
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