Department of Mathematical Sciences
In research, Department of Mathematical Sciences stands highest in Physical Sciences (#5,201 of 12,888 worldwide), Mathematics (#792 of 1,053 worldwide) and Computer Science (#3,808 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Mathematics — Mathematics is 19.5× its share of world research.
- World rank, 2022–2025
- #7,708 of 28,054 · #10,051 all time
- Rank in Russia
- #148 of 1,062
- Research works
- 1.2k ▲ 29% vs 2013–17
- Citations
- 14k 11.1 per fractional work
- Top-10% rate
- 13.4% record average 16.5%
- Open access
- 56% world 28%
What is Department of 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 | #5,201 of 12,888 | 11.7% | 252 | #6579 | |
| MathematicsField | #792 of 1,053 | 9.0% | 85 | #1265 | |
| Computer ScienceField | #3,808 of 4,667 | 11.8% | 65 | #4785 | |
| Social SciencesDomain | #8,828 of 10,521 | 15.2% | 68 | #10917 |
Each strip is that field’s whole ranked pool, with the notch where Department of 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#6,579 #5,201
- Mathematics#1,265 #792
- Computer Science#4,785 #3,808
- Social Sciences#10,917 #8,828
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Department of Mathematical Sciences specialise in?
Where its research is concentrated relative to its size: Mathematics takes 19.5× the share of its output that it takes of world research.
- MathematicsField · 84.5 works19×
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, 19.5×. Every wedge is a field page.
- Mathematics 19.5×
- Decision Sciences 3.0×
- Physics and Astronomy 2.8×
- Computer Science 2.3×
- Economics, Econometrics and Finance 1.5×
- Neuroscience 1.1×
- Engineering 1.0×
- Arts and Humanities 0.9×
- Earth and Planetary Sciences 0.8×
- Nursing 0.7×
- Psychology 0.7×
- Environmental Science 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Business, Management and Accounting 0.6×
- Materials Science 0.5×
- Chemical Engineering 0.5×
- Social Sciences 0.5×
- Chemistry 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Immunology and Microbiology 0.4×
- Health Professions 0.3×
- Agricultural and Biological Sciences 0.3×
- Medicine 0.3×
- Energy 0.2×
Who are the top researchers at Department of Mathematical Sciences?
Ranked on the composite score, 太一 安本 lead among researchers whose main affiliation is Department of Mathematical Sciences.
- 1 太一 安本 Russia · #581,761 worldwide 0 citations · 18 works
Which keywords describe research at Department of Mathematical Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Nonlinear Equations, Heat Transfer, Machine Learning, Deep Learning, Porous Media, Monte Carlo Simulation, Bayesian Inference and Cohomology.
- Triangulated Categories
- Partial Differential Equations
- Hom-Lie Algebras
- Boundary Value Problems
- Finite Element
- Mathematical Modeling
- Banach Spaces
- K-Theory
- Anomalous Diffusion
- Holomorphic Functions
- Thermal Conductivity
- Fractal Dimension
- Stochastic Differential Equations
- Experimental Investigation
- Fluid-Structure Interaction
- Cohomology
- Monte Carlo Simulation
- Infectious Diseases
- Heat Transfer
- Deep Learning
- Machine Learning
- Nonlinear Equations
- Neural Networks
- Porous Media
- Bayesian Inference
- Quantum Groups
- Fractional Calculus
- Social Influence
- Causal Discovery
- Stability
- Inverse Problems
- Numerical Methods
- Homotopy Analysis Method
- Algorithmic Information Theory
- Computability
- Sensitivity Analysis
- Nanofluids
- Deformations
- Cluster Algebras
- Symplectic Geometry
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
- Machine Learning18▲ 1.49×55 topics
- Deep Learning18▲ 1.40×52 topics
- Nonlinear Equations10▲ 21×6 topics
- Heat Transfer10▲ 5.5×12 topics
- Neural Networks10▲ 1.66×25 topics
- Infectious Diseases6▲ 5.2×5 topics
- Porous Media6▲ 13×4 topics
- Monte Carlo Simulation6▲ 7.8×5 topics
- Bayesian Inference5▲ 15×5 topics
- Cohomology5▲ 33×2 topics
- Quantum Groups5▲ 40×2 topics
- Fluid-Structure Interaction5▲ 9.1×5 topics
- Fractional Calculus5▲ 23×2 topics
- Experimental Investigation5▲ 12×3 topics
- Social Influence5▲ 5.9×3 topics
- Stochastic Differential Equations5▲ 19×2 topics
- Causal Discovery4▲ 38×2 topics
- Fractal Dimension4▲ 33×2 topics
- Stability4▲ 5.2×7 topics
- Thermal Conductivity4▲ 7.8×5 topics
- Inverse Problems4▲ 11×4 topics
- Holomorphic Functions4▲ 47×2 topics
- Numerical Methods4▲ 14×4 topics
- Anomalous Diffusion4▲ 20×1 topic
- Homotopy Analysis Method4▲ 24×1 topic
- K-Theory4▲ 45×2 topics
- Algorithmic Information Theory4▲ 62×1 topic
- Banach Spaces4▲ 38×3 topics
- Computability4▲ 62×1 topic
- Mathematical Modeling4▲ 12×2 topics
- Sensitivity Analysis4▲ 11×3 topics
- Finite Element4▲ 23×2 topics
- Nanofluids4▲ 12×2 topics
- Boundary Value Problems4▲ 19×3 topics
- Deformations4▲ 37×1 topic
- Hom-Lie Algebras4▲ 37×1 topic
- Cluster Algebras3▲ 34×1 topic
- Partial Differential Equations3▲ 17×2 topics
- Symplectic Geometry3▲ 25×2 topics
- Triangulated Categories3▲ 34×1 topic
Which research topics does Department of Mathematical Sciences publish most on?
By volume in 2022–2025: Fractional Differential Equations Solutions, Computability, Logic, AI Algorithms, Advanced Topics in Algebra and Algebraic structures and combinatorial models.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fractional Differential Equations Solutions Modeling and Simulation 4 works
- 2 Computability, Logic, AI Algorithms Computational Theory and Mathematics 4 works
- 3 Advanced Topics in Algebra Algebra and Number Theory 4 works
- 4 Algebraic structures and combinatorial models Geometry and Topology 3 works
- 5 Advanced Mathematical Modeling in Engineering Computational Theory and Mathematics 3 works
- 6 Stochastic processes and financial applications Finance 3 works
- 7 Nanofluid Flow and Heat Transfer Biomedical Engineering 3 works
- 8 COVID-19 epidemiological studies Modeling and Simulation 3 works
- 9 Mathematical and Theoretical Epidemiology and Ecology Models Public Health, Environmental and Occupational Health 3 works
- 10 Holomorphic and Operator Theory Applied 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 Department of Mathematical Sciences's research output changed?
Output in 2018–2022 was 29% 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 Moscow
- Russian Academy of Sciences
- Lomonosov Moscow State University
- National Research University Higher School of Economics
- Peoples' Friendship University of Russia
- Sechenov University
- Bauman Moscow State Technical University
- Kurchatov Institute
- N.D. Zelinsky Institute of Organic Chemistry
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.