The Institute of Statistical Mathematics
In research, The Institute of Statistical Mathematics stands highest in Physical Sciences (#6,799 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Statistics and Probability, Geophysics and Mathematics — Statistics and Probability is 67.5× its share of world research.
- World rank, 2022–2025
- #11,765 of 28,054 · #8,353 all time
- Rank in Japan
- #293 of 1,070
- Research works
- 2.2k ▲ 6% vs 2013–17
- Citations
- 155k 69.1 per fractional work
- Top-10% rate
- 13.7% record average 16.5%
- Open access
- 40% world 28%
What is The Institute of Statistical Mathematics 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 | #6,799 of 12,888 | 13.2% | 185 | #5834 |
Each strip is that field’s whole ranked pool, with the notch where The Institute of Statistical Mathematics 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 The Institute of Statistical Mathematics specialise in?
Where its research is concentrated relative to its size: Statistics and Probability takes 67.5× the share of its output that it takes of world research.
- Statistics and ProbabilitySubfield · 40.3 works67×
- GeophysicsSubfield · 20.2 works21×
- MathematicsField · 54.5 works17×
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, 16.5×. Every wedge is a field page.
- Mathematics 16.5×
- Earth and Planetary Sciences 5.5×
- Decision Sciences 4.8×
- Physics and Astronomy 2.9×
- Computer Science 2.4×
- Economics, Econometrics and Finance 1.9×
- Neuroscience 0.8×
- Chemistry 0.7×
- Materials Science 0.7×
- Psychology 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Medicine 0.6×
- Environmental Science 0.5×
- Engineering 0.5×
- Social Sciences 0.4×
- Immunology and Microbiology 0.3×
- Health Professions 0.3×
- Business, Management and Accounting 0.2×
- Nursing 0.2×
- Agricultural and Biological Sciences 0.1×
- Chemical Engineering 0.1×
- Dentistry 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
- Energy 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at The Institute of Statistical Mathematics?
Ranked on the composite score, Yosihiko Ogata, Hirotugu Akaike and Shiro Ikeda lead among researchers whose main affiliation is The Institute of Statistical Mathematics.
- 1 Yosihiko Ogata Japan · #19,022 worldwide 886 citations · 41 works
- 2 Hirotugu Akaike Japan · #25,570 worldwide 2k citations · 35 works
- 3 Shiro Ikeda Japan · #79,112 worldwide 450 citations · 57 works
- 4 Masami Hasegawa Japan · #125,165 worldwide 235 citations · 54 works
- 5 Masaharu Tanemura Japan · #172,294 worldwide 138 citations · 22 works
- 6 Kenji Fukumizu Japan · #173,915 worldwide 506 citations · 79 works
- 7 Makio Ishiguro Japan · #212,163 worldwide 393 citations · 17 works
- 8 Kunio Tanabe Japan · #312,880 worldwide 154 citations · 17 works
- 9 Genshiro Kitagawa Japan · #322,107 worldwide 209 citations · 50 works
- 10 Chikio Hayashi Japan · #330,226 worldwide 87 citations · 38 works
Which keywords describe research at The Institute of Statistical Mathematics?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Bayesian Methods, Model Selection, Variable Selection, High-Dimensional Data, Survival Analysis, Lasso and Regularization.
- Dirichlet Process
- Sparse Representation
- Causal Inference
- Convex Optimization
- Ionospheric Anomalies
- Adaptive Designs
- Clustering
- Variational Inference
- Multicollinearity
- Multiple Imputation
- Statistical Methods
- Structural Equation Modeling
- Principal Component Analysis
- Earthquakes
- Bayesian Inference
- Regularization
- Survival Analysis
- Variable Selection
- Neural Networks
- Deep Learning
- Machine Learning
- Bayesian Methods
- Model Selection
- High-Dimensional Data
- Lasso
- Subduction
- Geodetic Measurements
- Plate Boundaries
- Sensitivity Analysis
- Regression Analysis
- Bayesian Modeling
- Outlier Detection
- Robust Estimation
- Statistical Analysis
- Mixture Models
- False Discovery Rate
- Seismic Electromagnetics
- Plate Tectonics
- Quality Assessment
- Hidden Markov Models
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 Learning28▲ 3.0×42 topics
- Deep Learning17▲ 1.75×36 topics
- Bayesian Methods16▲ 113×2 topics
- Neural Networks13▲ 3.1×22 topics
- Model Selection13▲ 56×4 topics
- Variable Selection12▲ 46×2 topics
- High-Dimensional Data12▲ 27×3 topics
- Survival Analysis12▲ 15×5 topics
- Lasso11▲ 135×1 topic
- Regularization11▲ 135×1 topic
- Subduction8▲ 41×2 topics
- Bayesian Inference8▲ 31×5 topics
- Geodetic Measurements8▲ 27×2 topics
- Earthquakes8▲ 51×1 topic
- Plate Boundaries8▲ 51×1 topic
- Principal Component Analysis8▲ 19×3 topics
- Sensitivity Analysis8▲ 28×4 topics
- Structural Equation Modeling7▲ 12×2 topics
- Regression Analysis7▲ 62×2 topics
- Statistical Methods7▲ 75×2 topics
- Bayesian Modeling7▲ 123×1 topic
- Multiple Imputation7▲ 123×1 topic
- Outlier Detection7▲ 17×2 topics
- Multicollinearity6▲ 100×1 topic
- Robust Estimation6▲ 100×1 topic
- Variational Inference5▲ 76×2 topics
- Statistical Analysis5▲ 10×5 topics
- Clustering5▲ 19×3 topics
- Mixture Models5▲ 90×2 topics
- Adaptive Designs5▲ 80×1 topic
- False Discovery Rate5▲ 80×1 topic
- Ionospheric Anomalies5▲ 43×1 topic
- Seismic Electromagnetics5▲ 43×1 topic
- Convex Optimization4▲ 20×5 topics
- Plate Tectonics4▲ 10×2 topics
- Causal Inference4▲ 44×2 topics
- Quality Assessment4▲ 7.7×3 topics
- Sparse Representation4▲ 7.2×5 topics
- Hidden Markov Models4▲ 23×2 topics
- Dirichlet Process4▲ 84×1 topic
Which research topics does The Institute of Statistical Mathematics publish most on?
By volume in 2022–2025: Statistical Methods and Inference, earthquake and tectonic studies, Statistical Methods and Bayesian Inference and Advanced Statistical Methods and Models.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Statistical Methods and Inference Statistics and Probability 11 works
- 2 earthquake and tectonic studies Geophysics 8 works
- 3 Statistical Methods and Bayesian Inference Statistics and Probability 7 works
- 4 Advanced Statistical Methods and Models Statistics and Probability 6 works
- 5 Earthquake Detection and Analysis Geophysics 5 works
- 6 Statistical Methods in Clinical Trials Statistics and Probability 5 works
- 7 Bayesian Methods and Mixture Models Artificial Intelligence 4 works
- 8 Neural Networks and Applications Artificial Intelligence 4 works
- 9 Advanced Causal Inference Techniques Statistics and Probability 3 works
- 10 Geological and Geochemical Analysis Geophysics 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 The Institute of Statistical Mathematics's research output changed?
Output in 2018–2022 was 6% 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 Tokyo
- The University of Tokyo
- Tokyo Institute of Technology
- Keio University
- Waseda University
- Tokyo University of Science
- Nihon University
- Hitachi (Japan)
- NTT (Japan)
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.