Toyota Motor Corporation (Japan)
In research, Toyota Motor Corporation (Japan) stands highest in Physical Sciences (#6,548 of 12,888 worldwide) and Engineering (#4,185 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Automotive Engineering — Automotive Engineering is 15.7× its share of world research.
- World rank, 2022–2025
- #12,016 of 28,054 · #6,513 all time
- Rank in Japan
- #300 of 1,070
- Research works
- 2.4k ▼ 17% vs 2013–17
- Citations
- 44k 18.3 per fractional work
- Top-10% rate
- 8.0% record average 16.5%
- Open access
- 26% world 28%
What is Toyota Motor Corporation (Japan) 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 | #6,548 of 12,888 | 8.2% | 260 | #3903 | |
| EngineeringField | #4,185 of 6,636 | 7.3% | 153 | #2200 |
Each strip is that field’s whole ranked pool, with the notch where Toyota Motor Corporation (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 Toyota Motor Corporation (Japan) specialise in?
Where its research is concentrated relative to its size: Automotive Engineering takes 15.7× the share of its output that it takes of world research.
- Automotive EngineeringSubfield · 25.0 works16×
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: Chemical Engineering, 9.5×. Every wedge is a field page.
- Chemical Engineering 9.5×
- Engineering 3.4×
- Energy 2.3×
- Materials Science 2.2×
- Computer Science 2.1×
- Decision Sciences 1.4×
- Chemistry 0.9×
- Physics and Astronomy 0.8×
- Psychology 0.6×
- Environmental Science 0.5×
- Neuroscience 0.5×
- Mathematics 0.3×
- Health Professions 0.3×
- Business, Management and Accounting 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Social Sciences 0.2×
- Nursing 0.2×
- Earth and Planetary Sciences 0.1×
- Medicine 0.1×
- Economics, Econometrics and Finance 0.1×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.1×
- Veterinary 0.1×
- Immunology and Microbiology 0.0×
Who are the top researchers at Toyota Motor Corporation (Japan)?
Ranked on the composite score, Shinichi Matsumoto, Taizo Masuda and Masashi Yamashita lead among researchers whose main affiliation is Toyota Motor Corporation (Japan).
- 1 Shinichi Matsumoto Japan · #53,071 worldwide 493 citations · 72 works
- 2 Taizo Masuda Japan · #471,153 worldwide 76 citations · 30 works
- 3 Masashi Yamashita Japan · #600,809 worldwide 68 citations · 15 works
- 4 H Nakata Japan · #715,349 worldwide 30 citations · 16 works
- 5 Akira Ohata Japan · #844,558 worldwide 40 citations · 23 works
- 6 Lei Zhong Japan · #860,286 worldwide 70 citations · 36 works
- 7 Mitsutoshi Masuda Japan · #961,748 worldwide 11 citations · 17 works
- 8 Koji Kitano Japan · #1,067,145 worldwide 38 citations · 15 works
- 9 Takahiro Nakayama Japan · #1,069,106 worldwide 49 citations · 52 works
- 10 Tsuyoshi Yasuki Japan · #1,107,714 worldwide 23 citations · 18 works
Which keywords describe research at Toyota Motor Corporation (Japan)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Electric Vehicles, Intelligent Transportation Systems, Autonomous Vehicles, Machine Learning, Neural Networks, Chemical Kinetics and Collision Avoidance.
- Energy Storage Systems
- DSRC Standards
- Routing Protocols
- Vehicle Dynamics
- Short-Term Forecasting
- Environmental Impacts
- Catalysts
- Smart Grid
- Soot Formation
- Combustion
- Power Electronics
- Driver Assistance Systems
- Catalysis
- Battery Technology
- Lithium-ion Batteries
- Cathode Materials
- Collision Avoidance
- Autonomous Vehicles
- Electric Vehicles
- Machine Learning
- Deep Learning
- Neural Networks
- Intelligent Transportation Systems
- Chemical Kinetics
- Model Predictive Control
- Emissions
- Traffic Flow
- Renewable Energy Integration
- Sensor Fusion
- Trajectory Prediction
- Oxidation Mechanism
- Control Systems
- Graph Convolutional Networks
- Ionic Conductivity
- Time Series Analysis
- Probabilistic Forecasting
- Urban Traffic
- Finite Element Method
- Spatio-Temporal Data
- Vehicular Ad Hoc Networks
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 Learning35▲ 3.4×53 topics
- Machine Learning19▲ 1.99×33 topics
- Neural Networks14▲ 3.2×22 topics
- Electric Vehicles13▲ 15×4 topics
- Intelligent Transportation Systems12▲ 28×4 topics
- Autonomous Vehicles12▲ 19×4 topics
- Chemical Kinetics8▲ 30×2 topics
- Collision Avoidance8▲ 14×2 topics
- Model Predictive Control8▲ 10.0×4 topics
- Cathode Materials8▲ 6.4×3 topics
- Emissions8▲ 13×3 topics
- Lithium-ion Batteries7▲ 5.9×3 topics
- Traffic Flow7▲ 23×2 topics
- Battery Technology7▲ 8.3×2 topics
- Renewable Energy Integration7▲ 6.6×4 topics
- Catalysis6▲ 3.3×6 topics
- Sensor Fusion6▲ 20×2 topics
- Driver Assistance Systems6▲ 38×1 topic
- Trajectory Prediction6▲ 38×1 topic
- Power Electronics6▲ 6.3×8 topics
- Oxidation Mechanism6▲ 26×2 topics
- Combustion6▲ 31×1 topic
- Control Systems6▲ 10×5 topics
- Soot Formation6▲ 42×1 topic
- Graph Convolutional Networks6▲ 17×2 topics
- Smart Grid6▲ 4.9×4 topics
- Ionic Conductivity5▲ 13×2 topics
- Catalysts5▲ 8.8×3 topics
- Time Series Analysis5▲ 10×3 topics
- Environmental Impacts5▲ 6.3×3 topics
- Probabilistic Forecasting5▲ 8.8×3 topics
- Short-Term Forecasting5▲ 12×2 topics
- Urban Traffic5▲ 14×2 topics
- Vehicle Dynamics5▲ 29×2 topics
- Finite Element Method5▲ 16×4 topics
- Routing Protocols5▲ 31×3 topics
- Spatio-Temporal Data5▲ 24×1 topic
- DSRC Standards4▲ 48×1 topic
- Vehicular Ad Hoc Networks4▲ 48×1 topic
- Energy Storage Systems4▲ 10×2 topics
Which research topics does Toyota Motor Corporation (Japan) publish most on?
By volume in 2022–2025: Autonomous Vehicle Technology and Safety, Advanced Combustion Engine Technologies, Traffic Prediction and Management Techniques and Vehicular Ad Hoc Networks (VANETs).
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Autonomous Vehicle Technology and Safety Automotive Engineering 6 works
- 2 Advanced Combustion Engine Technologies Fluid Flow and Transfer Processes 6 works
- 3 Traffic Prediction and Management Techniques Building and Construction 5 works
- 4 Vehicular Ad Hoc Networks (VANETs) Electrical and Electronic Engineering 4 works
- 5 Fuel Cells and Related Materials Electrical and Electronic Engineering 4 works
- 6 Catalytic Processes in Materials Science Materials Chemistry 4 works
- 7 Advancements in Battery Materials Electrical and Electronic Engineering 4 works
- 8 Transportation and Mobility Innovations Automotive Engineering 4 works
- 9 Electric Vehicles and Infrastructure Electrical and Electronic Engineering 4 works
- 10 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 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 Toyota Motor Corporation (Japan)'s research output changed?
Output in 2018–2022 was 17% 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 Toyota
- Aichi Institute of Technology
- Aichi Gakusen University
- National Institute of Technology, Toyota College
- Toyota Memorial Hospital
- Toyota Kosei Hospital
- Aichi Science & Technology Foundation
- Aichi Mizuho College
- Toyota Transportation Research Institute
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.