Toyota Research Institute
In research, Toyota Research Institute stands highest in Physical Sciences (#1,473 of 10,670 worldwide) and Engineering (#1,332 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition (Computer Vision and Pattern Recognition is 7.3× its share of world research).
- World rank, 2022-now
- #5,546 of 22,385 · #4,840 all time
- Rank in ??
- #80 of 487
- Research works
- 595 ▲ 39% vs 2018-21
- Citations
- 24k 39.7 per fractional work
- Top-10% rate
- 19.2% all institutions 10.0%
- vs its own fields
- 1.33× 1.00× is exactly expected
- Open access
- 37% world 40%
- International
- 21% world 18%
What is Toyota Research Institute known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #1,473 of 10,670 | 19.4% | 193 | #1647 | |
| EngineeringField | #1,332 of 5,901 | 16.8% | 105 | #1472 |
Each strip is that field's whole ranked pool, with the notch where Toyota Research Institute 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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Toyota Research Institute work in?
In 2022-now, 86% of research at Toyota Research Institute is in Physical Sciences, 10% in Social Sciences. Its largest fields are Engineering (47%), Computer Science (23%), Materials Science (7%). It does 2.2× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 21 fields, with their numbers
- Physical Sciences20285.7%
- Engineering11046.8%
- Computer Science5523.2%
- Materials Science166.8%
- Energy72.8%
- Physics and Astronomy62.6%
- Environmental Science21.0%
- Chemistry20.9%
- Earth and Planetary Sciences20.7%
- Chemical Engineering10.5%
- Mathematics10.3%
- Social Sciences2410.2%
- Life Sciences62.4%
- Health Sciences41.7%
- Health Professions20.9%
- Medicine20.8%
What does Toyota Research Institute specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 7.3× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 21.6 works7.3×
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, 3.1×. Every wedge is a field page.
All 21 fields, with their numbers
- Engineering3.12×110 works
- Energy3.07×7 works
- Computer Science2.99×55 works
- Psychology2.00×14 works
- Materials Science1.96×16 works
- Chemical Engineering1.37×1 works
- Physics and Astronomy1.15×6 works
- Neuroscience1.13×4 works
- Decision Sciences1.13×3 works
- Chemistry0.59×2 works
- Earth and Planetary Sciences0.46×2 works
- Health Professions0.36×2 works
- Mathematics0.24×1 works
- Environmental Science0.21×2 works
- Social Sciences0.20×6 works
- Biochemistry, Genetics and Molecular Biology0.08×1 works
- Arts and Humanities0.07×0 works
- Business, Management and Accounting0.06×0 works
- Economics, Econometrics and Finance0.06×0 works
- Medicine0.04×2 works
- Agricultural and Biological Sciences0.02×0 works
- Engineering 3.1×
- Energy 3.1×
- Computer Science 3.0×
- Psychology 2.0×
- Materials Science 2.0×
- Chemical Engineering 1.4×
- Physics and Astronomy 1.1×
- Neuroscience 1.1×
- Decision Sciences 1.1×
- Chemistry 0.6×
- Earth and Planetary Sciences 0.5×
- Health Professions 0.4×
- Mathematics 0.2×
- Environmental Science 0.2×
- Social Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Arts and Humanities 0.1×
- Business, Management and Accounting 0.1×
- Economics, Econometrics and Finance 0.1×
- Medicine 0.0×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Toyota Research Institute?
Ranked on the quality score, Joseph H. Montoya, Muratahan Aykol and Jens S. Hummelshøj lead among researchers whose main affiliation is Toyota Research Institute.
- 1 Joseph H. Montoya #23,139 worldwide 15k citations · 99 works
- 2 Muratahan Aykol #42,569 worldwide 17k citations · 141 works
- 3 Jens S. Hummelshøj #103,507 worldwide 8.1k citations · 67 works
- 4 John Muldoon #156,899 worldwide 7.4k citations · 62 works
- 5 Patrick K. Herring #204,666 worldwide 6.3k citations · 54 works
- 6 Eric A. Cousineau #213,398 worldwide 2.3k citations · 37 works
- 7 Adrien Gaidon #216,989 worldwide 5.2k citations · 151 works
- 8 Rareş Ambruş #229,392 worldwide 1.7k citations · 116 works
- 9 Pavel Tokmakov #262,897 worldwide 2.1k citations · 87 works
- 10 Ercan M. Dede #275,302 worldwide 6k citations · 203 works
Which keywords describe research at Toyota Research Institute?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Autonomous Vehicles, Neural Networks, Cathode Materials, Thermal Management, Electric Vehicles, Machine Learning and Convolutional Networks.
- Point Clouds
- Trajectory Prediction
- Sensor Fusion
- High-Throughput
- Stereo Vision
- Oxygen Reduction
- Hydrogen Evolution
- Polymer Electrolyte Membranes
- Driver Behavior
- Metal-Organic Frameworks
- Electrocatalysis
- Catalysts
- Unsupervised Learning
- Collision Avoidance
- Depth Estimation
- Lithium-ion Batteries
- Convolutional Networks
- Thermal Management
- Autonomous Vehicles
- Machine Learning
- Deep Learning
- Neural Networks
- Cathode Materials
- Electric Vehicles
- Energy Storage
- Control Systems
- Energy Conversion
- Model Predictive Control
- Human-Robot Interaction
- Fuel Cells
- Robotics
- Rechargeable Batteries
- Heat Transfer
- Proton Exchange Membranes
- Optical Flow
- Quantum Mechanics
- Crystal Structures
- Materials Informatics
- Driver Assistance Systems
- 3D Reconstruction
Size is fractional works in 2022-now 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 Learning31▲ 3.8×40 topics
- Machine Learning16▲ 2.1×31 topics
- Neural Networks14▲ 3.8×22 topics
- Autonomous Vehicles12▲ 25×4 topics
- Cathode Materials9▲ 10×3 topics
- Thermal Management9▲ 11×3 topics
- Electric Vehicles8▲ 12×4 topics
- Convolutional Networks8▲ 26×3 topics
- Energy Storage7▲ 4.7×7 topics
- Lithium-ion Batteries7▲ 7.4×2 topics
- Control Systems7▲ 17×4 topics
- Depth Estimation7▲ 38×2 topics
- Energy Conversion7▲ 14×3 topics
- Collision Avoidance7▲ 16×3 topics
- Model Predictive Control7▲ 11×5 topics
- Unsupervised Learning6▲ 18×3 topics
- Human-Robot Interaction6▲ 22×3 topics
- Catalysts6▲ 12×3 topics
- Fuel Cells6▲ 16×2 topics
- Electrocatalysis6▲ 8.6×2 topics
- Robotics6▲ 10.0×4 topics
- Metal-Organic Frameworks6▲ 5.7×3 topics
- Rechargeable Batteries6▲ 8.9×2 topics
- Driver Behavior6▲ 29×2 topics
- Heat Transfer6▲ 4.7×5 topics
- Polymer Electrolyte Membranes6▲ 33×1 topic
- Proton Exchange Membranes6▲ 33×1 topic
- Hydrogen Evolution5▲ 17×1 topic
- Optical Flow5▲ 48×1 topic
- Oxygen Reduction5▲ 17×1 topic
- Quantum Mechanics5▲ 24×2 topics
- Stereo Vision5▲ 48×1 topic
- Crystal Structures5▲ 25×2 topics
- High-Throughput5▲ 36×1 topic
- Materials Informatics5▲ 36×1 topic
- Sensor Fusion5▲ 20×3 topics
- Driver Assistance Systems5▲ 34×1 topic
- Trajectory Prediction5▲ 34×1 topic
- 3D Reconstruction4▲ 21×2 topics
- Point Clouds4▲ 21×2 topics
Which research topics does Toyota Research Institute publish most on?
By volume in 2022-now: Fuel Cells and Related Materials, Advanced Vision and Imaging, Electrocatalysts for Energy Conversion and Machine Learning in Materials Science.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fuel Cells and Related Materials Electrical and Electronic Engineering 6 works
- 2 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
- 3 Electrocatalysts for Energy Conversion Renewable Energy, Sustainability and the Environment 5 works
- 4 Machine Learning in Materials Science Materials Chemistry 5 works
- 5 Autonomous Vehicle Technology and Safety Automotive Engineering 5 works
- 6 Advanced Battery Technologies Research Automotive Engineering 4 works
- 7 Robot Manipulation and Learning Control and Systems Engineering 4 works
- 8 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 4 works
- 9 Social Robot Interaction and HRI Social Psychology 4 works
- 10 3D Shape Modeling and Analysis Computational Mechanics 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: 40% of research is openly available.
World: 18% is written across borders.
How has Toyota Research Institute's research output changed?
Output in 2022-2025 was 39% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Toyota Research Institute as a percentage of every work published that year, 0.0011% in 2024.
Fractional works of Toyota Research Institute over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 28.8% in 2012.
Other research institutions in Palo Alto
- VMware (United States)
- Arc Research Institute
- Emerson Collective (United States)
- Peninsula Open Space Trust
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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