Stanley Electric (Japan)
In research, Stanley Electric (Japan) stands highest in Physical Sciences (#10,426 of 21,541 worldwide) and Engineering (#9,648 of 11,412 worldwide), over all time.
- World rank, all time
- #18,347 of 42,892
- Rank in Japan
- #703 of 2,112
- Research works
- 289 ◆ 1% vs 2013–17
- Citations
- 3.2k 11.1 per fractional work
- Top-10% rate
- 13.3% record average 16.5%
- Open access
- 18% world 28%
What is Stanley Electric (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 | #10,426 of 21,541 | 9.4% | 257 | |
| EngineeringField | #9,648 of 11,412 | 6.2% | 139 |
Each strip is that field’s whole ranked pool, with the notch where Stanley Electric (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: Physics and Astronomy, 5.2×. Every wedge is a field page.
Who are the top researchers at Stanley Electric (Japan)?
Ranked on the composite score, Takahiro Matsumoto and Yoshiaki Yasuda lead among researchers whose main affiliation is Stanley Electric (Japan).
- 1 Takahiro Matsumoto Japan · #128,254 worldwide 217 citations · 49 works
- 2 Yoshiaki Yasuda Japan · #995,323 worldwide 45 citations · 30 works
Which keywords describe research at Stanley Electric (Japan)?
By fractional works in all years, weighted toward what it does more of than the world: Nanowires, Semiconductors, Band Parameters, Nanostructures, Semiconductor, GaN, Numerical Simulation and Smart Grid.
- Optoelectronics
- Control System
- Colloidal Crystals
- Design Optimization
- Nanocrystals
- Fluid Dynamics
- Structural Analysis
- Solar Cells
- Optimization
- CIM XML
- Failure Analysis
- Neural Network
- Photovoltaics
- Remote Sensing
- AlGaN/GaN HEMTs
- Modeling
- Smart Grid
- GaN
- Nanostructures
- Semiconductors
- Nanowires
- Band Parameters
- Semiconductor
- Numerical Simulation
- Solid-State Lighting
- Light-Emitting Diodes
- III-Nitrides
- Photodetectors
- Power System
- Integration
- Fuzzy Control
- Common Information Model
- Internet of Things
- Spintronics
- Finite Element Method
- Nighttime Light Data
- Quantum Dots
- Fatigue Analysis
- Transparent Conductors
- Virtual Prototyping
Size is fractional works in all years 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
- Nanowires23▲ 34×5 topics
- Semiconductors20▲ 26×4 topics
- Band Parameters17▲ 47×2 topics
- Nanostructures14▲ 9.9×7 topics
- Semiconductor14▲ 14×7 topics
- GaN13▲ 86×2 topics
- Numerical Simulation13▲ 13×6 topics
- Smart Grid12▲ 15×6 topics
- Solid-State Lighting12▲ 43×2 topics
- Modeling12▲ 16×3 topics
- Light-Emitting Diodes11▲ 31×2 topics
- AlGaN/GaN HEMTs11▲ 89×1 topic
- III-Nitrides11▲ 89×1 topic
- Remote Sensing11▲ 3.5×6 topics
- Photodetectors11▲ 39×2 topics
- Photovoltaics11▲ 15×4 topics
- Power System10▲ 31×4 topics
- Neural Network10▲ 12×4 topics
- Integration10▲ 27×2 topics
- Failure Analysis9▲ 24×3 topics
- Fuzzy Control9▲ 21×2 topics
- CIM XML9▲ 92×1 topic
- Common Information Model9▲ 92×1 topic
- Optimization9▲ 5.8×7 topics
- Internet of Things9▲ 5.7×7 topics
- Solar Cells9▲ 9.8×6 topics
- Spintronics9▲ 15×3 topics
- Structural Analysis8▲ 18×2 topics
- Finite Element Method8▲ 21×2 topics
- Fluid Dynamics8▲ 18×2 topics
- Nighttime Light Data8▲ 122×1 topic
- Nanocrystals8▲ 11×4 topics
- Quantum Dots8▲ 17×2 topics
- Design Optimization8▲ 59×1 topic
- Fatigue Analysis8▲ 62×1 topic
- Colloidal Crystals7▲ 32×2 topics
- Transparent Conductors7▲ 18×2 topics
- Control System7▲ 19×2 topics
- Virtual Prototyping7▲ 16×2 topics
- Optoelectronics6▲ 26×2 topics
Which research topics does Stanley Electric (Japan) publish most on?
By volume in 2022–2025: Advanced Optical Sensing Technologies, Impact of Light on Environment and Health, Smart Agriculture and AI and Atmospheric aerosols and clouds.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Optical Sensing Technologies Instrumentation 0 works
- 2 Impact of Light on Environment and Health Global and Planetary Change 0 works
- 3 Smart Agriculture and AI Plant Science 0 works
- 4 Atmospheric aerosols and clouds Global and Planetary Change 0 works
- 5 Visual Attention and Saliency Detection Computer Vision and Pattern Recognition 0 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 0 works
- 7 Gaze Tracking and Assistive Technology Human-Computer Interaction 0 works
- 8 Additive Manufacturing Materials and Processes Mechanical Engineering 0 works
- 9 Additive Manufacturing and 3D Printing Technologies Automotive Engineering 0 works
- 10 Laser Material Processing Techniques Computational Mechanics 0 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 Stanley Electric (Japan)'s research output changed?
Output in 2018–2022 was 1% 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.