Preferred Networks (Japan)
In research, Preferred Networks (Japan) stands highest in Physical Sciences (#14,656 of 21,541 worldwide), over all time.
- World rank, 2022–2025
- #14,584 of 28,054 · #25,804 all time
- Rank in Japan
- #384 of 1,070
- Research works
- 216 ▲ 272% vs 2013–17
- Citations
- 11k 49.6 per fractional work
- Top-10% rate
- 17.5% record average 16.5%
- Open access
- 42% world 28%
What is Preferred Networks (Japan) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #14,656 of 21,541 | 20.4% | 153 |
Each strip is that field’s whole ranked pool, with the notch where Preferred Networks (Japan) 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).
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: Economics, Econometrics and Finance, 5.4×. Every wedge is a field page.
- Economics, Econometrics and Finance 5.4×
- Computer Science 4.5×
- Decision Sciences 2.9×
- Materials Science 1.7×
- Engineering 1.6×
- Neuroscience 1.1×
- Earth and Planetary Sciences 0.9×
- Biochemistry, Genetics and Molecular Biology 0.9×
- Mathematics 0.8×
- Business, Management and Accounting 0.7×
- Chemical Engineering 0.6×
- Psychology 0.5×
- Physics and Astronomy 0.5×
- Chemistry 0.4×
- Energy 0.3×
- Social Sciences 0.2×
- Immunology and Microbiology 0.2×
- Medicine 0.1×
- Health Professions 0.1×
- Environmental Science 0.1×
Who are the top researchers at Preferred Networks (Japan)?
Ranked on the composite score, Fabrice Matulic and Masaki Saito lead among researchers whose main affiliation is Preferred Networks (Japan).
- 1 Fabrice Matulic Japan · #380,607 worldwide 69 citations · 17 works
- 2 Masaki Saito Japan · #745,318 worldwide 14 citations · 28 works
Which keywords describe research at Preferred Networks (Japan)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Asset Pricing, Market Efficiency, Stock Returns, Robotic Manipulators and Monte Carlo Simulation.
- Word Representation
- Machine Translation
- Topic Modeling
- Point Clouds
- 3D Reconstruction
- Teleoperation
- Crystal Structure
- Statistical Machine Translation
- Soft Robotics
- Unsupervised Learning
- Human-Computer Interaction
- Haptic Interfaces
- Convolutional Neural Networks
- Robot Learning
- Stochastic Calculus
- Virtual Environments
- Molecular Dynamics
- Stock Returns
- Asset Pricing
- Neural Networks
- Deep Learning
- Machine Learning
- Market Efficiency
- Robotic Manipulators
- Monte Carlo Simulation
- Option Pricing
- Grasping
- Gesture Recognition
- Data Mining
- High-Throughput
- Materials Informatics
- Bioinspired Robotics
- Neural Machine Translation
- Convolutional Networks
- Support Vector Machines
- Time Delay
- Interaction Techniques
- Tangible User Interfaces
- Agent-Based Modeling
- Real-time Tracking
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 Learning14▲ 5.6×37 topics
- Neural Networks9▲ 8.0×19 topics
- Machine Learning8▲ 3.4×22 topics
- Asset Pricing4▲ 54×2 topics
- Market Efficiency3▲ 64×1 topic
- Stock Returns3▲ 100×1 topic
- Robotic Manipulators3▲ 43×2 topics
- Molecular Dynamics3▲ 24×2 topics
- Monte Carlo Simulation3▲ 19×2 topics
- Virtual Environments3▲ 117×2 topics
- Option Pricing3▲ 148×1 topic
- Stochastic Calculus3▲ 148×1 topic
- Grasping3▲ 94×1 topic
- Robot Learning3▲ 94×1 topic
- Gesture Recognition2▲ 46×2 topics
- Convolutional Neural Networks2▲ 4.4×8 topics
- Data Mining2▲ 4.4×4 topics
- Haptic Interfaces2▲ 54×2 topics
- High-Throughput2▲ 54×1 topic
- Human-Computer Interaction2▲ 16×3 topics
- Materials Informatics2▲ 54×1 topic
- Unsupervised Learning2▲ 17×3 topics
- Bioinspired Robotics2▲ 64×1 topic
- Soft Robotics2▲ 31×1 topic
- Neural Machine Translation2▲ 22×1 topic
- Statistical Machine Translation2▲ 22×1 topic
- Convolutional Networks2▲ 15×3 topics
- Crystal Structure2▲ 14×3 topics
- Support Vector Machines2▲ 6.5×3 topics
- Teleoperation1▲ 133×1 topic
- Time Delay1▲ 133×1 topic
- 3D Reconstruction1▲ 19×2 topics
- Interaction Techniques1▲ 104×1 topic
- Point Clouds1▲ 19×2 topics
- Tangible User Interfaces1▲ 104×1 topic
- Topic Modeling1▲ 12×2 topics
- Agent-Based Modeling1▲ 12×2 topics
- Machine Translation1▲ 10.0×1 topic
- Real-time Tracking1▲ 16×2 topics
- Word Representation1▲ 14×1 topic
Which research topics does Preferred Networks (Japan) publish most on?
By volume in 2022–2025: Financial Markets and Investment Strategies, Stochastic processes and financial applications, Robot Manipulation and Learning and Machine Learning in Materials Science.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Financial Markets and Investment Strategies Finance 3 works
- 2 Stochastic processes and financial applications Finance 3 works
- 3 Robot Manipulation and Learning Control and Systems Engineering 3 works
- 4 Machine Learning in Materials Science Materials Chemistry 2 works
- 5 Soft Robotics and Applications Biomedical Engineering 2 works
- 6 Natural Language Processing Techniques Artificial Intelligence 2 works
- 7 Teleoperation and Haptic Systems Mechanical Engineering 1 works
- 8 Interactive and Immersive Displays Human-Computer Interaction 1 works
- 9 Artificial Intelligence in Games Artificial Intelligence 1 works
- 10 Hand Gesture Recognition Systems Human-Computer Interaction 1 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 Preferred Networks (Japan)'s research output changed?
Output in 2018–2022 was 272% 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.