Toyota Motor North America (United States)
In research, Toyota Motor North America (United States) stands highest in Physical Sciences (#7,095 of 12,888 worldwide) and Engineering (#3,960 of 6,636 worldwide), 2022–2025.
- World rank, 2022–2025
- #13,186 of 28,054 · #13,800 all time
- Rank in United States
- #1,829 of 4,192
- Research works
- 407 ▲ 89% vs 2013–17
- Citations
- 18k 45.0 per fractional work
- Top-10% rate
- 17.4% record average 16.5%
- Open access
- 22% world 28%
What is Toyota Motor North America (United States) 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 | #7,095 of 12,888 | 17.3% | 112 | #7989 | |
| EngineeringField | #3,960 of 6,636 | 17.4% | 71 | #4629 |
Each strip is that field’s whole ranked pool, with the notch where Toyota Motor North America (United States) 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: Engineering, 3.7×. Every wedge is a field page.
- Engineering 3.7×
- Computer Science 3.3×
- Psychology 1.4×
- Physics and Astronomy 1.1×
- Materials Science 0.7×
- Decision Sciences 0.5×
- Energy 0.4×
- Neuroscience 0.3×
- Environmental Science 0.3×
- Chemistry 0.2×
- Earth and Planetary Sciences 0.2×
- Health Professions 0.2×
- Economics, Econometrics and Finance 0.2×
- Social Sciences 0.2×
- Medicine 0.1×
- Business, Management and Accounting 0.1×
- Agricultural and Biological Sciences 0.0×
- Biochemistry, Genetics and Molecular Biology 0.0×
Who are the top researchers at Toyota Motor North America (United States)?
Ranked on the composite score, John B. Kenney, Gaurav Bansal and Takayuki Shimizu lead among researchers whose main affiliation is Toyota Motor North America (United States).
- 1 John B. Kenney United States · #166,751 worldwide 353 citations · 20 works
- 2 Gaurav Bansal United States · #226,460 worldwide 274 citations · 19 works
- 3 Takayuki Shimizu United States · #384,366 worldwide 133 citations · 36 works
- 4 BaekGyu Kim United States · #702,743 worldwide 67 citations · 25 works
- 5 Kyungtae Han United States · #777,375 worldwide 47 citations · 35 works
- 6 Hongsheng Lu United States · #920,332 worldwide 69 citations · 28 works
- 7 Onur Altintas United States · #1,100,041 worldwide 70 citations · 52 works
- 8 Sergei S. Avedisov United States · #1,139,765 worldwide 38 citations · 17 works
- 9 Shinichi Shiraishi United States · #1,382,045 worldwide 34 citations · 26 works
- 10 Takamasa Higuchi United States · #1,438,804 worldwide 42 citations · 24 works
Which keywords describe research at Toyota Motor North America (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Intelligent Transportation Systems, Autonomous Vehicles, Collision Avoidance, Sensor Fusion, Machine Learning, Driver Assistance Systems and Trajectory Prediction.
- Travel Behavior
- Resource Allocation
- User Satisfaction
- Urban Traffic
- Traffic Accidents
- Probabilistic Forecasting
- Spatial Analysis
- Edge Computing
- Automation
- Healthcare
- Internet of Things
- Driver Behavior
- Microscopic Simulation
- Reinforcement Learning
- DSRC Standards
- Traffic Flow
- Trajectory Prediction
- Sensor Fusion
- Machine Learning
- Intelligent Transportation Systems
- Deep Learning
- Autonomous Vehicles
- Collision Avoidance
- Driver Assistance Systems
- Routing Protocols
- Security Analysis
- Vehicular Ad Hoc Networks
- Cooperative Adaptive Cruise Control
- Neural Networks
- Convolutional Neural Networks
- 5G Networks
- IoT Security
- Trust
- Fog Computing
- Injury Severity
- Short-Term Forecasting
- Spatio-Temporal Data
- Electric Vehicles
- Wireless Networks
- Public Transport
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 Learning32▲ 7.3×29 topics
- Intelligent Transportation Systems21▲ 114×3 topics
- Autonomous Vehicles18▲ 69×4 topics
- Machine Learning18▲ 4.3×17 topics
- Collision Avoidance14▲ 62×2 topics
- Sensor Fusion14▲ 99×2 topics
- Driver Assistance Systems13▲ 184×1 topic
- Trajectory Prediction13▲ 184×1 topic
- Routing Protocols11▲ 172×3 topics
- Traffic Flow11▲ 83×2 topics
- Security Analysis11▲ 49×3 topics
- DSRC Standards10▲ 257×1 topic
- Vehicular Ad Hoc Networks10▲ 257×1 topic
- Reinforcement Learning8▲ 60×2 topics
- Cooperative Adaptive Cruise Control8▲ 158×1 topic
- Microscopic Simulation8▲ 158×1 topic
- Neural Networks7▲ 3.6×13 topics
- Driver Behavior6▲ 66×2 topics
- Convolutional Neural Networks5▲ 5.2×5 topics
- Internet of Things4▲ 4.0×3 topics
- 5G Networks4▲ 16×3 topics
- Healthcare4▲ 2.9×2 topics
- IoT Security4▲ 9.7×2 topics
- Automation3▲ 40×1 topic
- Trust3▲ 9.7×1 topic
- Edge Computing3▲ 20×1 topic
- Fog Computing3▲ 22×1 topic
- Spatial Analysis3▲ 28×2 topics
- Injury Severity3▲ 30×1 topic
- Probabilistic Forecasting3▲ 13×2 topics
- Short-Term Forecasting3▲ 17×2 topics
- Traffic Accidents3▲ 53×1 topic
- Spatio-Temporal Data3▲ 36×1 topic
- Urban Traffic3▲ 19×1 topic
- Electric Vehicles3▲ 7.2×4 topics
- User Satisfaction3▲ 10×3 topics
- Wireless Networks2▲ 13×5 topics
- Resource Allocation2▲ 11×6 topics
- Public Transport2▲ 31×1 topic
- Travel Behavior2▲ 20×1 topic
Which research topics does Toyota Motor North America (United States) publish most on?
By volume in 2022–2025: Autonomous Vehicle Technology and Safety, Vehicular Ad Hoc Networks (VANETs), Traffic control and management and Human-Automation Interaction and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Autonomous Vehicle Technology and Safety Automotive Engineering 13 works
- 2 Vehicular Ad Hoc Networks (VANETs) Electrical and Electronic Engineering 10 works
- 3 Traffic control and management Control and Systems Engineering 8 works
- 4 Human-Automation Interaction and Safety Social Psychology 3 works
- 5 IoT and Edge/Fog Computing Computer Networks and Communications 3 works
- 6 Traffic and Road Safety Safety, Risk, Reliability and Quality 3 works
- 7 Traffic Prediction and Management Techniques Building and Construction 3 works
- 8 Transportation Planning and Optimization Transportation 2 works
- 9 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 10 Transportation and Mobility Innovations Automotive Engineering 2 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 North America (United States)'s research output changed?
Output in 2018–2022 was 89% 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 Torrance
- Harbor–UCLA Medical Center
- Plasma Technology (United States)
- Honda (United States)
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- Dynamic Research (United States)
- Physical Optics Corporation
- MARK Resources (United States)
- El Camino College
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.