National Institute for Mathematical Sciences
In research, National Institute for Mathematical Sciences stands highest in Physical Sciences (#5,958 of 12,888 worldwide) and Mathematics (#722 of 1,053 worldwide), 2022–2025. Relative to its size it is most specialised in Applied Mathematics and Mathematics — Applied Mathematics is 39.1× its share of world research.
- World rank, 2022–2025
- #10,306 of 28,054 · #12,432 all time
- Rank in South Korea
- #192 of 417
- Research works
- 892 ▲ 20% vs 2013–17
- Citations
- 12k 13.3 per fractional work
- Top-10% rate
- 16.6% record average 16.5%
- Open access
- 42% world 28%
What is National Institute for Mathematical Sciences known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #5,958 of 12,888 | 16.4% | 171 | #7358 | |
| MathematicsField | #722 of 1,053 | 18.2% | 76 | #1095 |
Each strip is that field’s whole ranked pool, with the notch where National Institute for Mathematical Sciences sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does National Institute for Mathematical Sciences specialise in?
Where its research is concentrated relative to its size: Applied Mathematics takes 39.1× the share of its output that it takes of world research.
- Applied MathematicsSubfield · 23.8 works39×
- MathematicsField · 76.1 works31×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Mathematics, 30.6×. Every wedge is a field page.
- Mathematics 30.6×
- Physics and Astronomy 3.4×
- Computer Science 3.2×
- Neuroscience 1.0×
- Economics, Econometrics and Finance 1.0×
- Dentistry 1.0×
- Engineering 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Earth and Planetary Sciences 0.6×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Decision Sciences 0.5×
- Agricultural and Biological Sciences 0.4×
- Medicine 0.4×
- Psychology 0.3×
- Materials Science 0.3×
- Environmental Science 0.3×
- Veterinary 0.2×
- Chemistry 0.2×
- Nursing 0.2×
- Immunology and Microbiology 0.1×
- Health Professions 0.1×
- Social Sciences 0.1×
Who are the top researchers at National Institute for Mathematical Sciences?
Ranked on the composite score, J. J. Oh, Kyung‐Ah Shim and Okyu Kwon lead among researchers whose main affiliation is National Institute for Mathematical Sciences.
- 1 J. J. Oh South Korea · #19,561 worldwide 1.1k citations · 62 works
- 2 Kyung‐Ah Shim South Korea · #376,157 worldwide 115 citations · 17 works
- 3 Okyu Kwon South Korea · #401,814 worldwide 85 citations · 22 works
- 4 Youngjoo Kim South Korea · #619,679 worldwide 47 citations · 28 works
- 5 Daeyeoul Kim South Korea · #1,166,670 worldwide 28 citations · 32 works
- 6 Taeyoung Ha South Korea · #1,167,197 worldwide 29 citations · 20 works
- 7 Sang‐Hee Lee South Korea · #1,251,934 worldwide 46 citations · 33 works
Which keywords describe research at National Institute for Mathematical Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Nonlinear Equations, Network Dynamics, Complex Networks, Fractional Laplacian, Sobolev Spaces, Synchronization, Porous Media and Nonlinear Dynamics.
- Mathematical Modeling
- Principal Component Analysis
- L-Functions
- Genomics
- Fourier Multiplier Theorems
- Tropical Geometry
- Global Well-Posedness
- transmission dynamics
- Boundary Value Problems
- Eigenvalues
- Random Matrix Theory
- Infectious Diseases
- Approximation Algorithms
- Heterogeneous
- Chimera States
- Nonlinear Dynamics
- COVID-19
- Sobolev Spaces
- Complex Networks
- Nonlinear Equations
- Deep Learning
- Network Dynamics
- Fractional Laplacian
- Synchronization
- Porous Media
- Pattern Formation
- Reaction-Diffusion Model
- Multiscale Methods
- Nonlinear Schrödinger Equation
- Inverse Problems
- Symplectic Geometry
- Numerical Methods
- Modeling
- Solitons
- Scattering
- Calderón–Zygmund Theory
- Modular Forms
- Algorithmic Applications
- Nonlinear Systems
- Reconstruction
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning13▲ 1.82×40 topics
- Nonlinear Equations11▲ 40×4 topics
- Network Dynamics9▲ 42×3 topics
- Complex Networks9▲ 71×3 topics
- Fractional Laplacian8▲ 181×1 topic
- Sobolev Spaces8▲ 181×1 topic
- Synchronization8▲ 31×3 topics
- COVID-198▲ 2.6×8 topics
- Porous Media7▲ 25×2 topics
- Nonlinear Dynamics7▲ 15×3 topics
- Pattern Formation7▲ 81×2 topics
- Chimera States7▲ 119×1 topic
- Reaction-Diffusion Model7▲ 119×1 topic
- Heterogeneous6▲ 80×1 topic
- Multiscale Methods6▲ 80×1 topic
- Approximation Algorithms5▲ 37×5 topics
- Nonlinear Schrödinger Equation5▲ 45×2 topics
- Infectious Diseases5▲ 7.5×2 topics
- Inverse Problems5▲ 22×4 topics
- Random Matrix Theory5▲ 76×3 topics
- Symplectic Geometry5▲ 63×2 topics
- Eigenvalues5▲ 97×2 topics
- Numerical Methods5▲ 26×3 topics
- Boundary Value Problems4▲ 41×3 topics
- Modeling4▲ 8.2×1 topic
- transmission dynamics4▲ 29×1 topic
- Solitons4▲ 46×2 topics
- Global Well-Posedness4▲ 96×1 topic
- Scattering4▲ 96×1 topic
- Tropical Geometry4▲ 60×2 topics
- Calderón–Zygmund Theory4▲ 197×1 topic
- Fourier Multiplier Theorems4▲ 197×1 topic
- Modular Forms4▲ 47×3 topics
- Genomics4▲ 5.7×3 topics
- Algorithmic Applications3▲ 46×2 topics
- L-Functions3▲ 55×2 topics
- Nonlinear Systems3▲ 7.2×7 topics
- Principal Component Analysis3▲ 10×2 topics
- Reconstruction3▲ 8.4×2 topics
- Mathematical Modeling3▲ 16×2 topics
Which research topics does National Institute for Mathematical Sciences publish most on?
By volume in 2022–2025: Nonlinear Partial Differential Equations, Nonlinear Dynamics and Pattern Formation, Advanced Mathematical Modeling in Engineering and COVID-19 epidemiological studies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Nonlinear Partial Differential Equations Applied Mathematics 8 works
- 2 Nonlinear Dynamics and Pattern Formation Computer Networks and Communications 7 works
- 3 Advanced Mathematical Modeling in Engineering Computational Theory and Mathematics 6 works
- 4 COVID-19 epidemiological studies Modeling and Simulation 4 works
- 5 Advanced Mathematical Physics Problems Mathematical Physics 4 works
- 6 Advanced Harmonic Analysis Research Applied Mathematics 4 works
- 7 Algebraic Geometry and Number Theory Geometry and Topology 3 works
- 8 Random Matrices and Applications Statistics and Probability 3 works
- 9 Numerical methods in inverse problems Mathematical Physics 3 works
- 10 Advanced Graph Theory Research Computational Theory and Mathematics 3 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has National Institute for Mathematical Sciences's research output changed?
Output in 2018–2022 was 20% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Daejeon
- Korea Advanced Institute of Science and Technology
- Chungnam National University
- Electronics and Telecommunications Research Institute
- Korea Atomic Energy Research Institute
- Korea University of Science and Technology
- Korea Research Institute of Bioscience and Biotechnology
- Institute for Basic Science
- Korea Research Institute of Chemical Technology
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.