National Institute of Informatics
In research, National Institute of Informatics stands highest in Computer Science (#863 of 4,667 worldwide), Physical Sciences (#4,431 of 12,888 worldwide) and Artificial Intelligence (#735 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Computational Theory and Mathematics and Artificial Intelligence — Signal Processing is 15.0× its share of world research.
- World rank, 2022–2025
- #7,166 of 28,054 · #4,225 all time
- Rank in Japan
- #176 of 1,070
- Research works
- 4.8k ▼ 18% vs 2013–17
- Citations
- 71k 14.7 per fractional work
- Top-10% rate
- 16.3% record average 16.5%
- Open access
- 34% world 28%
What is National Institute of Informatics 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #863 of 4,667 | 16.2% | 426 | #571 | |
| Physical SciencesDomain | #4,431 of 12,888 | 15.6% | 587 | #2746 | |
| Artificial IntelligenceSubfield | #735 of 1,884 | 18.0% | 169 | #448 | |
| EngineeringField | #3,534 of 6,636 | 14.5% | 126 | #3463 | |
| Social SciencesDomain | #6,844 of 10,521 | 23.3% | 96 | #7324 | |
| Computer Vision and Pattern RecognitionSubfield | #689 of 941 | 19.6% | 77 | #497 |
Each strip is that field’s whole ranked pool, with the notch where National Institute of Informatics 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.
- Computer Science#571 #863
- Physical Sciences#2,746 #4,431
- Artificial Intelligence#448 #735
- Engineering#3,463 #3,534
- Social Sciences#7,324 #6,844
- Computer Vision and Pattern Recognition#497 #689
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does National Institute of Informatics specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 15.0× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 33.4 works15×
- Computational Theory and MathematicsSubfield · 39.1 works12×
- Artificial IntelligenceSubfield · 168.8 works9.5×
- Computer Vision and Pattern RecognitionSubfield · 76.9 works8.3×
- Computer ScienceField · 425.6 works7.5×
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: Computer Science, 7.5×. Every wedge is a field page.
- Computer Science 7.5×
- Decision Sciences 3.7×
- Engineering 1.1×
- Physics and Astronomy 1.0×
- Neuroscience 0.8×
- Mathematics 0.8×
- Psychology 0.7×
- Economics, Econometrics and Finance 0.4×
- Social Sciences 0.4×
- Earth and Planetary Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Business, Management and Accounting 0.3×
- Arts and Humanities 0.3×
- Materials Science 0.2×
- Health Professions 0.1×
- Medicine 0.1×
- Agricultural and Biological Sciences 0.1×
- Environmental Science 0.1×
- Nursing 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Chemical Engineering 0.1×
- Chemistry 0.0×
Who are the top researchers at National Institute of Informatics?
Ranked on the composite score, William J. Munro, Helmut Prendinger and Yinqiang Zheng lead among researchers whose main affiliation is National Institute of Informatics.
- 1 William J. Munro Japan · #31,383 worldwide 1.5k citations · 149 works
- 2 Helmut Prendinger Japan · #76,607 worldwide 433 citations · 87 works
- 3 Yinqiang Zheng Japan · #87,519 worldwide 398 citations · 59 works
- 4 Junichi Yamagishi Japan · #146,595 worldwide 1.1k citations · 210 works
- 5 Imari Sato Japan · #200,213 worldwide 207 citations · 44 works
- 6 Takeaki Uno Japan · #216,684 worldwide 408 citations · 91 works
- 7 Lin Zhang Japan · #236,145 worldwide 119 citations · 36 works
- 8 Kae Nemoto Japan · #245,384 worldwide 595 citations · 142 works
- 9 Shin’ichi Satoh Japan · #254,732 worldwide 604 citations · 143 works
- 10 Yusheng Ji Japan · #286,799 worldwide 764 citations · 204 works
Which keywords describe research at National Institute of Informatics?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Security, Model Checking, Information Retrieval and Topic Modeling.
- Data Integration
- Image Classification
- Distributed Systems
- Natural Language Processing
- Statistical Machine Translation
- Neural Machine Translation
- Anomaly Detection
- Audio-Visual Speech Recognition
- Entanglement
- Representation Learning
- Beamforming
- Unsupervised Learning
- Word Representation
- Approximation Algorithms
- Feature Extraction
- Information Retrieval
- Model Checking
- Big Data
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Security
- Artificial Intelligence
- Energy Efficiency
- Topic Modeling
- Text Classification
- Machine Translation
- Deep Neural Networks
- IoT Security
- Temporal Logic
- Algorithmic Applications
- Quantum Information
- Speech Enhancement
- Corpus Linguistics
- Semi-Supervised Learning
- 5G Networks
- Multi-Agent Systems
- Hidden Markov Models
- Knowledge Representation
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 Learning161▲ 6.4×68 topics
- Neural Networks91▲ 8.1×32 topics
- Machine Learning85▲ 3.5×62 topics
- Convolutional Neural Networks41▲ 7.7×14 topics
- Security32▲ 6.6×18 topics
- Big Data24▲ 3.7×17 topics
- Artificial Intelligence23▲ 2.3×21 topics
- Model Checking20▲ 60×3 topics
- Energy Efficiency20▲ 2.9×12 topics
- Information Retrieval20▲ 12×5 topics
- Topic Modeling19▲ 18×3 topics
- Feature Extraction19▲ 5.5×10 topics
- Text Classification18▲ 16×3 topics
- Approximation Algorithms18▲ 34×5 topics
- Machine Translation17▲ 14×1 topic
- Word Representation17▲ 20×1 topic
- Deep Neural Networks16▲ 20×3 topics
- Unsupervised Learning16▲ 15×3 topics
- IoT Security16▲ 6.6×3 topics
- Beamforming15▲ 20×3 topics
- Temporal Logic15▲ 62×2 topics
- Representation Learning14▲ 14×3 topics
- Algorithmic Applications14▲ 54×2 topics
- Entanglement13▲ 12×4 topics
- Quantum Information13▲ 15×3 topics
- Audio-Visual Speech Recognition13▲ 33×1 topic
- Speech Enhancement13▲ 33×1 topic
- Anomaly Detection13▲ 6.0×3 topics
- Corpus Linguistics13▲ 8.1×2 topics
- Neural Machine Translation13▲ 18×1 topic
- Semi-Supervised Learning13▲ 15×3 topics
- Statistical Machine Translation13▲ 18×1 topic
- 5G Networks12▲ 8.1×5 topics
- Natural Language Processing12▲ 7.0×6 topics
- Multi-Agent Systems12▲ 8.4×5 topics
- Distributed Systems11▲ 9.3×6 topics
- Hidden Markov Models11▲ 26×3 topics
- Image Classification11▲ 8.9×2 topics
- Knowledge Representation11▲ 17×5 topics
- Data Integration11▲ 8.9×6 topics
Which research topics does National Institute of Informatics publish most on?
By volume in 2022–2025: Topic Modeling, Speech and Audio Processing, Natural Language Processing Techniques and Speech Recognition and Synthesis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 17 works
- 2 Speech and Audio Processing Signal Processing 13 works
- 3 Natural Language Processing Techniques Artificial Intelligence 13 works
- 4 Speech Recognition and Synthesis Artificial Intelligence 11 works
- 5 Music and Audio Processing Signal Processing 10 works
- 6 Formal Methods in Verification Computational Theory and Mathematics 9 works
- 7 Quantum Computing Algorithms and Architecture Artificial Intelligence 9 works
- 8 Adversarial Robustness in Machine Learning Artificial Intelligence 9 works
- 9 Quantum Information and Cryptography Artificial Intelligence 9 works
- 10 Complexity and Algorithms in Graphs Computational Theory and Mathematics 8 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 of Informatics's research output changed?
Output in 2018–2022 was 18% 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 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.