Aisin (Japan)
In research, Aisin (Japan) stands highest in Physical Sciences (#13,612 of 21,541 worldwide) and Engineering (#9,431 of 11,412 worldwide), over all time. Relative to its size it is most specialised in Engineering — Engineering is 3.6× its share of world research.
- World rank, all time
- #25,247 of 42,892
- Rank in Japan
- #1,001 of 2,112
- Research works
- 304 ▲ 11% vs 2013–17
- Citations
- 3.3k 10.9 per fractional work
- Top-10% rate
- 7.2% record average 16.5%
- Open access
- 25% world 28%
What is Aisin (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 | #13,612 of 21,541 | 12.5% | 269 | |
| EngineeringField | #9,431 of 11,412 | 11.1% | 187 |
Each strip is that field’s whole ranked pool, with the notch where Aisin (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).
What does Aisin (Japan) specialise in?
Where its research is concentrated relative to its size: Engineering takes 3.6× the share of its output that it takes of world research.
- EngineeringField · 21.3 works3.6×
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: Engineering, 3.6×. Every wedge is a field page.
- Engineering 3.6×
- Chemical Engineering 2.9×
- Computer Science 2.9×
- Pharmacology, Toxicology and Pharmaceutics 2.8×
- Neuroscience 1.9×
- Decision Sciences 1.5×
- Materials Science 1.3×
- Physics and Astronomy 1.2×
- Energy 0.9×
- Mathematics 0.7×
- Earth and Planetary Sciences 0.3×
- Medicine 0.3×
- Psychology 0.2×
- Health Professions 0.2×
- Chemistry 0.2×
- Agricultural and Biological Sciences 0.1×
- Environmental Science 0.1×
- Social Sciences 0.0×
Which keywords describe research at Aisin (Japan)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Power Electronics, Deep Learning, Renewable Energy Integration, Model Predictive Control, Electric Vehicle Charging, Electric Vehicles and DC-DC Converters.
- Voltage Source Inverters
- Nanocomposites
- Empirical Mode Decomposition
- Numerical Simulation
- Vehicle Dynamics
- Photovoltaic Systems
- Electromagnetic Compatibility
- Control Systems
- Induction Motors
- Artificial Neural Networks
- Convolutional Neural Networks
- Machine Learning
- DC-DC Converters
- Electric Vehicle Charging
- Renewable Energy Integration
- Neural Networks
- Deep Learning
- Power Electronics
- Model Predictive Control
- Electric Vehicles
- High-Frequency Power Conversion
- Thermal Analysis
- Autonomous Vehicles
- Electric Motor Drives
- Permanent Magnet Machines
- EMI
- Fault Diagnosis
- Tire-Road Friction Estimation
- Vibration Analysis
- Condition Monitoring
- Multilevel Converters
- Reliability
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 32 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 32 words, with their numbers
- Deep Learning6▲ 4.1×13 topics
- Neural Networks5▲ 8.2×10 topics
- Power Electronics5▲ 35×5 topics
- Renewable Energy Integration3▲ 25×4 topics
- Model Predictive Control3▲ 26×3 topics
- Electric Vehicle Charging2▲ 75×2 topics
- Electric Vehicles2▲ 19×4 topics
- DC-DC Converters2▲ 85×1 topic
- High-Frequency Power Conversion2▲ 85×1 topic
- Machine Learning2▲ 1.49×5 topics
- Thermal Analysis2▲ 37×3 topics
- Convolutional Neural Networks2▲ 5.8×3 topics
- Autonomous Vehicles2▲ 18×2 topics
- Artificial Neural Networks1▲ 7.4×3 topics
- Electric Motor Drives1▲ 88×1 topic
- Induction Motors1▲ 76×2 topics
- Permanent Magnet Machines1▲ 88×1 topic
- Control Systems1▲ 18×2 topics
- EMI1▲ 153×1 topic
- Electromagnetic Compatibility1▲ 153×1 topic
- Fault Diagnosis1▲ 21×2 topics
- Photovoltaic Systems1▲ 35×2 topics
- Tire-Road Friction Estimation1▲ 104×1 topic
- Vehicle Dynamics1▲ 51×1 topic
- Vibration Analysis1▲ 11×2 topics
- Numerical Simulation1▲ 9.1×4 topics
- Condition Monitoring1▲ 49×1 topic
- Empirical Mode Decomposition1▲ 50×1 topic
- Multilevel Converters1▲ 47×1 topic
- Nanocomposites1▲ 3.2×3 topics
- Reliability1▲ 33×2 topics
- Voltage Source Inverters1▲ 47×1 topic
Which research topics does Aisin (Japan) publish most on?
By volume in 2022–2025: Advanced DC-DC Converters, Electric Motor Design and Analysis, Vehicle Dynamics and Control Systems and Electromagnetic Compatibility and Noise Suppression.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced DC-DC Converters Electrical and Electronic Engineering 2 works
- 2 Electric Motor Design and Analysis Electrical and Electronic Engineering 1 works
- 3 Vehicle Dynamics and Control Systems Automotive Engineering 1 works
- 4 Electromagnetic Compatibility and Noise Suppression Electrical and Electronic Engineering 1 works
- 5 Machine Fault Diagnosis Techniques Control and Systems Engineering 1 works
- 6 Multilevel Inverters and Converters Electrical and Electronic Engineering 1 works
- 7 Speech and Audio Processing Signal Processing 1 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 1 works
- 9 Sensor Technology and Measurement Systems Computer Networks and Communications 1 works
- 10 Neural dynamics and brain function Cognitive Neuroscience 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 Aisin (Japan)'s research output changed?
Output in 2018–2022 was 11% 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 Kariya
- Aichi University of Education
- Denso (Japan)
- Kariya Toyota General Hospital
- Toyota Industries (Japan)
- Kariya City Board of Education
- Aicihi Prefectural Kariya High School
- Tatematsu Foundation
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.