Tokyo University of Information Sciences
In research, Tokyo University of Information Sciences stands highest in Physical Sciences (#5,022 of 12,888 worldwide), Engineering (#3,303 of 6,636 worldwide) and Computer Science (#3,607 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 4.3× its share of world research.
- World rank, 2022–2025
- #7,316 of 28,054 · #5,894 all time
- Rank in Japan
- #181 of 1,070
- Research works
- 2.1k ▲ 8% vs 2013–17
- Citations
- 27k 12.6 per fractional work
- Top-10% rate
- 13.3% record average 16.5%
- Open access
- 30% world 28%
What is Tokyo University of Information 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 | #5,022 of 12,888 | 12.8% | 321 | #4080 | |
| EngineeringField | #3,303 of 6,636 | 11.4% | 151 | #2774 | |
| Computer ScienceField | #3,607 of 4,667 | 12.4% | 104 | #2187 | |
| Social SciencesDomain | #9,134 of 10,521 | 15.1% | 66 | #9302 | |
| Electrical and Electronic EngineeringSubfield | #2,052 of 2,318 | 8.3% | 67 | #2378 |
Each strip is that field’s whole ranked pool, with the notch where Tokyo University of Information 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#4,080 #5,022
- Engineering#2,774 #3,303
- Computer Science#2,187 #3,607
- Social Sciences#9,302 #9,134
- Electrical and Electronic Engineering#2,378 #2,052
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Tokyo University of Information Sciences specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 4.3× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 24.3 works4.3×
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, 3.0×. Every wedge is a field page.
- Computer Science 3.0×
- Engineering 2.2×
- Physics and Astronomy 2.0×
- Neuroscience 1.6×
- Pharmacology, Toxicology and Pharmaceutics 1.5×
- Psychology 1.1×
- Earth and Planetary Sciences 1.0×
- Energy 1.0×
- Mathematics 1.0×
- Decision Sciences 1.0×
- Nursing 0.8×
- Environmental Science 0.8×
- Social Sciences 0.6×
- Materials Science 0.6×
- Health Professions 0.6×
- Chemical Engineering 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Chemistry 0.4×
- Arts and Humanities 0.4×
- Immunology and Microbiology 0.3×
- Medicine 0.3×
- Economics, Econometrics and Finance 0.3×
- Agricultural and Biological Sciences 0.2×
- Business, Management and Accounting 0.2×
- Veterinary 0.1×
- Dentistry 0.1×
Who are the top researchers at Tokyo University of Information Sciences?
Ranked on the composite score, Joong-Sun Lee, Kazuko Yamasaki and Keitarou Hara lead among researchers whose main affiliation is Tokyo University of Information Sciences.
- 1 Joong-Sun Lee Japan · #1,028,590 worldwide 3 citations · 30 works
- 2 Kazuko Yamasaki Japan · #1,134,429 worldwide 27 citations · 16 works
- 3 Keitarou Hara Japan · #1,185,068 worldwide 38 citations · 21 works
- 4 Moo Wan Kim Japan · #1,249,996 worldwide 6 citations · 18 works
- 5 Ichio Asanuma Japan · #1,260,323 worldwide 22 citations · 17 works
- 6 Kenneth J. Mackin Japan · #1,550,925 worldwide 10 citations · 23 works
Which keywords describe research at Tokyo University of Information Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Neuromorphic Computing, Non-Volatile Memory, Synaptic Plasticity, Memristor and Resistive Switching.
- Wearable Sensors
- Silicon Photonics
- Semantic Web
- Atomic Layer Deposition
- Traffic Flow
- Health Monitoring
- GPS Data
- Short-Term Forecasting
- Neuromorphic Photonics
- Probabilistic Forecasting
- Negative Capacitance
- Ferroelectricity
- Nonlinear Dynamics
- Travel Behavior
- Field-Effect Transistors
- Resistive Switching
- Synaptic Plasticity
- Convolutional Neural Networks
- Neuromorphic Computing
- Neural Networks
- Deep Learning
- Machine Learning
- Remote Sensing
- Non-Volatile Memory
- Memristor
- Virtual Reality
- Thin Films
- Semiconductor Lasers
- Doping
- Hafnium Oxide
- Integrated Circuits
- Time Series Analysis
- Photonic Reservoir Computing
- Intelligent Transportation Systems
- Human Mobility
- Nanoelectronics
- Signal Processing
- High-k Dielectrics
- Graph Convolutional Networks
- Urban Traffic
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 Learning58▲ 3.7×64 topics
- Neural Networks35▲ 5.0×29 topics
- Machine Learning33▲ 2.2×53 topics
- Neuromorphic Computing16▲ 31×2 topics
- Remote Sensing13▲ 2.4×21 topics
- Convolutional Neural Networks13▲ 3.9×13 topics
- Non-Volatile Memory10▲ 22×2 topics
- Synaptic Plasticity10▲ 9.8×3 topics
- Memristor9▲ 24×1 topic
- Resistive Switching9▲ 24×1 topic
- Virtual Reality9▲ 3.9×8 topics
- Field-Effect Transistors8▲ 12×4 topics
- Thin Films8▲ 9.5×6 topics
- Travel Behavior8▲ 20×2 topics
- Semiconductor Lasers8▲ 26×2 topics
- Nonlinear Dynamics7▲ 7.2×3 topics
- Doping7▲ 17×2 topics
- Ferroelectricity7▲ 17×2 topics
- Hafnium Oxide7▲ 48×1 topic
- Negative Capacitance7▲ 48×1 topic
- Integrated Circuits7▲ 9.7×3 topics
- Probabilistic Forecasting6▲ 7.3×3 topics
- Time Series Analysis6▲ 7.8×3 topics
- Neuromorphic Photonics6▲ 44×1 topic
- Photonic Reservoir Computing6▲ 44×1 topic
- Short-Term Forecasting6▲ 9.3×2 topics
- Intelligent Transportation Systems6▲ 8.7×3 topics
- GPS Data6▲ 33×1 topic
- Human Mobility6▲ 33×1 topic
- Health Monitoring5▲ 5.8×4 topics
- Nanoelectronics5▲ 13×2 topics
- Traffic Flow5▲ 11×2 topics
- Signal Processing5▲ 8.4×5 topics
- Atomic Layer Deposition5▲ 16×1 topic
- High-k Dielectrics5▲ 16×1 topic
- Semantic Web5▲ 11×4 topics
- Graph Convolutional Networks5▲ 9.3×2 topics
- Silicon Photonics5▲ 9.6×2 topics
- Urban Traffic5▲ 8.3×2 topics
- Wearable Sensors5▲ 8.9×3 topics
Which research topics does Tokyo University of Information Sciences publish most on?
By volume in 2022–2025: Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neural Networks and Reservoir Computing and Human Mobility and Location-Based Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Memory and Neural Computing Electrical and Electronic Engineering 9 works
- 2 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 7 works
- 3 Neural Networks and Reservoir Computing Artificial Intelligence 6 works
- 4 Human Mobility and Location-Based Analysis Transportation 6 works
- 5 Semiconductor materials and devices Electrical and Electronic Engineering 5 works
- 6 Traffic Prediction and Management Techniques Building and Construction 4 works
- 7 Photonic and Optical Devices Electrical and Electronic Engineering 4 works
- 8 Geographic Information Systems Studies Geography, Planning and Development 4 works
- 9 Education and Learning Interventions Information Systems 3 works
- 10 Optical Network Technologies Electrical and Electronic Engineering 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 Tokyo University of Information Sciences's research output changed?
Output in 2018–2022 was 8% 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 Chiba
- Chiba University
- Tokyo Dental College
- National Institutes for Quantum Science and Technology
- Chiba University Hospital
- Chiba Cancer Center
- Zen-Noh (Japan)
- The Open University of Japan
- Chiba Hokusou Hospital
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.