National Center for Mathematics and Interdisciplinary Sciences
In research, National Center for Mathematics and Interdisciplinary Sciences stands highest in Physical Sciences (#11,017 of 21,541 worldwide), over all time.
- World rank, 2022–2025
- #16,723 of 28,054 · #16,685 all time
- Rank in China
- #2,598 of 3,058
- Research works
- 334 ▼ 38% vs 2013–17
- Citations
- 8.1k 24.2 per fractional work
- Top-10% rate
- 20.1% record average 16.5%
- Open access
- 39% world 28%
What is National Center for Mathematics and Interdisciplinary Sciences known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #11,017 of 21,541 | 24.8% | 234 |
Each strip is that field’s whole ranked pool, with the notch where National Center for Mathematics and Interdisciplinary 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).
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, 10.1×. Every wedge is a field page.
- Mathematics 10.1×
- Biochemistry, Genetics and Molecular Biology 3.4×
- Computer Science 2.3×
- Physics and Astronomy 2.2×
- Decision Sciences 2.2×
- Engineering 1.7×
- Economics, Econometrics and Finance 1.3×
- Materials Science 0.9×
- Chemistry 0.9×
- Neuroscience 0.6×
- Earth and Planetary Sciences 0.6×
- Immunology and Microbiology 0.4×
- Environmental Science 0.4×
- Agricultural and Biological Sciences 0.3×
- Energy 0.3×
- Medicine 0.2×
- Nursing 0.1×
- Dentistry 0.1×
- Social Sciences 0.1×
- Business, Management and Accounting 0.1×
- Health Professions 0.0×
- Psychology 0.0×
Which keywords describe research at National Center for Mathematics and Interdisciplinary Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Fluid-Structure Interaction, Adaptive Mesh Refinement, High-Order Schemes, Gene Expression, Discontinuous Galerkin Methods, Finite Element Methods, Deep Learning and Machine Learning.
- Nonlinear Schrödinger Equation
- Nanoparticles
- Meshless Methods
- High-Dimensional Data
- Feature Selection
- Normalization
- Bayesian Methods
- Multiscale Methods
- Bioinformatics
- Data Analysis
- Transcriptomics
- Clustering
- Radial Basis Functions
- Porous Media
- Finite Element Methods
- Gene Expression
- Adaptive Mesh Refinement
- Machine Learning
- Deep Learning
- Fluid-Structure Interaction
- High-Order Schemes
- Discontinuous Galerkin Methods
- Neural Networks
- RNA-Seq
- Data Integration
- Single-Cell
- Bayesian Inference
- Finite Element
- Heterogeneous
- Nonlinear Systems
- Heat Transfer
- Differential Expression
- Fracture
- Inverse Problems
- Microarray
- Stability Analysis
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 36 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 36 words, with their numbers
- Deep Learning5▲ 2.2×26 topics
- Machine Learning4▲ 2.2×20 topics
- Fluid-Structure Interaction4▲ 40×4 topics
- Adaptive Mesh Refinement4▲ 98×2 topics
- High-Order Schemes4▲ 98×2 topics
- Gene Expression3▲ 9.1×7 topics
- Discontinuous Galerkin Methods3▲ 197×1 topic
- Finite Element Methods3▲ 197×1 topic
- Neural Networks2▲ 2.3×16 topics
- Porous Media2▲ 25×3 topics
- RNA-Seq2▲ 31×2 topics
- Radial Basis Functions2▲ 48×2 topics
- Data Integration2▲ 17×2 topics
- Clustering2▲ 27×3 topics
- Single-Cell2▲ 60×1 topic
- Transcriptomics2▲ 60×1 topic
- Bayesian Inference1▲ 23×5 topics
- Data Analysis1▲ 8.5×4 topics
- Finite Element1▲ 53×2 topics
- Bioinformatics1▲ 19×2 topics
- Heterogeneous1▲ 54×1 topic
- Multiscale Methods1▲ 54×1 topic
- Nonlinear Systems1▲ 9.9×5 topics
- Bayesian Methods1▲ 38×2 topics
- Heat Transfer1▲ 3.8×5 topics
- Normalization1▲ 39×2 topics
- Differential Expression1▲ 77×1 topic
- Feature Selection1▲ 8.4×2 topics
- Fracture1▲ 19×1 topic
- High-Dimensional Data1▲ 11×3 topics
- Inverse Problems1▲ 17×3 topics
- Meshless Methods1▲ 58×1 topic
- Microarray1▲ 77×1 topic
- Nanoparticles1▲ 1.37×6 topics
- Stability Analysis1▲ 11×4 topics
- Nonlinear Schrödinger Equation1▲ 29×2 topics
Which research topics does National Center for Mathematics and Interdisciplinary Sciences publish most on?
By volume in 2022–2025: Advanced Numerical Methods in Computational Mathematics, Single-cell and spatial transcriptomics, Advanced Mathematical Modeling in Engineering and Numerical methods in engineering.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Numerical Methods in Computational Mathematics Computational Mechanics 3 works
- 2 Single-cell and spatial transcriptomics Molecular Biology 2 works
- 3 Advanced Mathematical Modeling in Engineering Computational Theory and Mathematics 1 works
- 4 Numerical methods in engineering Mechanics of Materials 1 works
- 5 Gene expression and cancer classification Molecular Biology 1 works
- 6 Computational Fluid Dynamics and Aerodynamics Computational Mechanics 1 works
- 7 Bioinformatics and Genomic Networks Molecular Biology 1 works
- 8 Statistical Methods and Inference Statistics and Probability 1 works
- 9 Fluid Dynamics and Turbulent Flows Computational Mechanics 1 works
- 10 Model Reduction and Neural Networks Statistical and Nonlinear Physics 1 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 Center for Mathematics and Interdisciplinary Sciences's research output changed?
Output in 2018–2022 was 38% lower 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
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.