Sony Computer Science Laboratories
In research, Sony Computer Science Laboratories stands highest in Physical Sciences (#8,339 of 12,888 worldwide) and Computer Science (#3,564 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Neuroscience — Neuroscience is 6.5× its share of world research.
- World rank, 2022–2025
- #14,826 of 28,054 · #3,609 all time
- Rank in Japan
- #395 of 1,070
- Research works
- 1.9k ▼ 2% vs 2013–17
- Citations
- 59k 30.3 per fractional work
- Top-10% rate
- 18.8% record average 16.5%
- Open access
- 22% world 28%
What is Sony Computer Science Laboratories 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 | #8,339 of 12,888 | 18.3% | 131 | #2472 | |
| Computer ScienceField | #3,564 of 4,667 | 22.3% | 61 | #1006 |
Each strip is that field’s whole ranked pool, with the notch where Sony Computer Science Laboratories 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 Sony Computer Science Laboratories specialise in?
Where its research is concentrated relative to its size: Neuroscience takes 6.5× the share of its output that it takes of world research.
- NeuroscienceField · 21.2 works6.5×
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: Neuroscience, 6.5×. Every wedge is a field page.
- Neuroscience 6.5×
- Mathematics 4.6×
- Computer Science 3.9×
- Physics and Astronomy 2.9×
- Psychology 1.6×
- Engineering 1.3×
- Decision Sciences 1.2×
- Economics, Econometrics and Finance 0.9×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Arts and Humanities 0.5×
- Social Sciences 0.4×
- Veterinary 0.4×
- Environmental Science 0.4×
- Agricultural and Biological Sciences 0.3×
- Materials Science 0.2×
- Health Professions 0.2×
- Medicine 0.2×
- Business, Management and Accounting 0.2×
- Earth and Planetary Sciences 0.2×
- Chemistry 0.2×
- Nursing 0.1×
- Energy 0.0×
Who are the top researchers at Sony Computer Science Laboratories?
Ranked on the composite score, Hiroaki Kitano, Masahiro Fujita and François Pachet lead among researchers whose main affiliation is Sony Computer Science Laboratories.
- 1 Hiroaki Kitano Japan · #41,785 worldwide 870 citations · 118 works
- 2 Masahiro Fujita Japan · #118,365 worldwide 374 citations · 104 works
- 3 François Pachet Japan · #129,168 worldwide 221 citations · 47 works
- 4 Shunichi Kasahara Japan · #217,752 worldwide 146 citations · 23 works
- 5 Michael Spranger Japan · #262,799 worldwide 121 citations · 20 works
- 6 Mario Tokoro Japan · #379,284 worldwide 145 citations · 47 works
- 7 Misako Takayasu Japan · #515,615 worldwide 265 citations · 75 works
- 8 Richard Nock Japan · #546,268 worldwide 300 citations · 73 works
- 9 Hideki Takayasu Japan · #563,238 worldwide 364 citations · 148 works
- 10 Hiroaki Kitano Japan · #656,887 worldwide 26 citations · 18 works
Which keywords describe research at Sony Computer Science Laboratories?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Virtual Reality, Neural Networks, Convolutional Neural Networks, Machine Learning, Embodiment, Neural Mechanisms and Phase Transitions.
- Regression Analysis
- Hidden Markov Models
- Neural Circuits
- EEG Analysis
- Principal Component Analysis
- Speech Enhancement
- Motor Imagery
- Sensorimotor Learning
- Social Cognition
- Cerebellum
- Music Information Retrieval
- Haptic Interfaces
- Immersion
- Gesture Recognition
- Nonextensive Statistical Mechanics
- Feature Extraction
- Social Interaction
- Embodiment
- Virtual Reality
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Neural Mechanisms
- Phase Transitions
- Long-Range Interactions
- Human-Computer Interaction
- Feedback Control
- Presence
- Audio Signal Classification
- Neural Basis
- Motor Control
- Motor Skill
- Audio-Visual Speech Recognition
- Outlier Detection
- Virtual Environments
- Brain-Computer Interfaces
- Gait Analysis
- Electromyography
- Multicollinearity
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 Learning29▲ 4.3×44 topics
- Machine Learning14▲ 2.1×32 topics
- Neural Networks13▲ 4.3×20 topics
- Virtual Reality11▲ 11×9 topics
- Convolutional Neural Networks9▲ 6.1×7 topics
- Embodiment7▲ 19×2 topics
- Neural Mechanisms6▲ 34×4 topics
- Social Interaction6▲ 7.5×4 topics
- Phase Transitions6▲ 51×2 topics
- Feature Extraction6▲ 6.2×3 topics
- Long-Range Interactions5▲ 300×1 topic
- Nonextensive Statistical Mechanics5▲ 300×1 topic
- Human-Computer Interaction5▲ 14×5 topics
- Gesture Recognition5▲ 32×3 topics
- Feedback Control4▲ 14×4 topics
- Immersion4▲ 34×1 topic
- Presence4▲ 34×1 topic
- Haptic Interfaces4▲ 38×2 topics
- Audio Signal Classification4▲ 53×1 topic
- Music Information Retrieval4▲ 53×1 topic
- Neural Basis4▲ 22×2 topics
- Cerebellum4▲ 38×2 topics
- Motor Control4▲ 15×2 topics
- Social Cognition4▲ 11×4 topics
- Motor Skill4▲ 109×1 topic
- Sensorimotor Learning4▲ 109×1 topic
- Audio-Visual Speech Recognition4▲ 33×1 topic
- Motor Imagery4▲ 14×2 topics
- Outlier Detection4▲ 13×2 topics
- Speech Enhancement4▲ 33×1 topic
- Virtual Environments3▲ 54×2 topics
- Principal Component Analysis3▲ 11×3 topics
- Brain-Computer Interfaces3▲ 16×1 topic
- EEG Analysis3▲ 16×1 topic
- Gait Analysis3▲ 16×2 topics
- Neural Circuits3▲ 17×2 topics
- Electromyography3▲ 30×1 topic
- Hidden Markov Models3▲ 26×2 topics
- Multicollinearity3▲ 72×1 topic
- Regression Analysis3▲ 38×1 topic
Which research topics does Sony Computer Science Laboratories publish most on?
By volume in 2022–2025: Statistical Mechanics and Entropy, Virtual Reality Applications and Impacts, Music and Audio Processing and Motor Control and Adaptation.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Statistical Mechanics and Entropy Statistical and Nonlinear Physics 5 works
- 2 Virtual Reality Applications and Impacts Human-Computer Interaction 5 works
- 3 Music and Audio Processing Signal Processing 4 works
- 4 Motor Control and Adaptation Cognitive Neuroscience 4 works
- 5 Speech and Audio Processing Signal Processing 4 works
- 6 EEG and Brain-Computer Interfaces Cognitive Neuroscience 3 works
- 7 Tactile and Sensory Interactions Cognitive Neuroscience 3 works
- 8 Muscle activation and electromyography studies Biomedical Engineering 3 works
- 9 Advanced Statistical Methods and Models Statistics and Probability 3 works
- 10 Action Observation and Synchronization Social Psychology 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 Sony Computer Science Laboratories's research output changed?
Output in 2018–2022 was 2% 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.