Virginia Tech Transportation Institute
In research, Virginia Tech Transportation Institute stands highest in Engineering (#5,701 of 11,412 worldwide) and Physical Sciences (#12,829 of 21,541 worldwide), over all time.
- World rank, all time
- #21,697 of 42,892
- Rank in ??
- #349 of 1,041
- Research works
- 375 ▲ 14% vs 2013–17
- Citations
- 13k 33.9 per fractional work
- Top-10% rate
- 19.5% record average 16.5%
- Open access
- 31% world 28%
What is Virginia Tech Transportation Institute 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 |
|---|---|---|---|---|
| EngineeringField | #5,701 of 11,412 | 30.8% | 197 | |
| Physical SciencesDomain | #12,829 of 21,541 | 30.7% | 257 |
Each strip is that field’s whole ranked pool, with the notch where Virginia Tech Transportation 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 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, 3.5×. Every wedge is a field page.
- Engineering 3.5×
- Psychology 3.2×
- Computer Science 1.5×
- Decision Sciences 1.0×
- Neuroscience 0.8×
- Health Professions 0.7×
- Social Sciences 0.7×
- Environmental Science 0.5×
- Energy 0.4×
- Medicine 0.4×
- Mathematics 0.3×
- Business, Management and Accounting 0.2×
- Physics and Astronomy 0.1×
- Economics, Econometrics and Finance 0.1×
- Agricultural and Biological Sciences 0.1×
- Materials Science 0.1×
Which keywords describe research at Virginia Tech Transportation Institute?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Driver Behavior, Spatial Analysis, Injury Severity, Risk Factors, Road Safety, Traffic Accidents and Autonomous Vehicles.
- Fuel Consumption
- Brain Injury
- Time Series Analysis
- Child Injury
- Asphalt
- Cooperative Adaptive Cruise Control
- Reinforcement Learning
- Crack Detection
- Life Cycle Assessment
- Image Processing
- Active Travel
- Accessibility
- Trust
- Automation
- Intelligent Transportation Systems
- Convolutional Neural Networks
- Autonomous Vehicles
- Road Safety
- Injury Severity
- Driver Behavior
- Deep Learning
- Spatial Analysis
- Risk Factors
- Traffic Accidents
- Machine Learning
- Driver Assistance Systems
- Trajectory Prediction
- Traffic Flow
- Transportation
- Health Impact Assessment
- Built Environment
- Defect Detection
- Neural Networks
- Pavement
- Recycled Materials
- Microscopic Simulation
- Bitumen Modification
- Unintentional Injuries
- Urban Traffic
- Eco-Driving
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 Learning11▲ 6.2×20 topics
- Driver Behavior10▲ 242×2 topics
- Spatial Analysis7▲ 149×3 topics
- Injury Severity7▲ 165×2 topics
- Risk Factors7▲ 12×2 topics
- Road Safety7▲ 325×1 topic
- Traffic Accidents7▲ 288×1 topic
- Autonomous Vehicles6▲ 62×3 topics
- Machine Learning5▲ 2.9×7 topics
- Convolutional Neural Networks4▲ 9.7×5 topics
- Driver Assistance Systems4▲ 122×1 topic
- Intelligent Transportation Systems4▲ 47×3 topics
- Trajectory Prediction4▲ 122×1 topic
- Automation3▲ 86×1 topic
- Traffic Flow3▲ 55×2 topics
- Trust3▲ 21×1 topic
- Transportation3▲ 28×3 topics
- Accessibility2▲ 56×2 topics
- Health Impact Assessment2▲ 60×2 topics
- Active Travel2▲ 69×1 topic
- Built Environment2▲ 69×1 topic
- Image Processing2▲ 11×2 topics
- Defect Detection2▲ 35×2 topics
- Life Cycle Assessment2▲ 16×3 topics
- Neural Networks2▲ 2.8×7 topics
- Crack Detection2▲ 58×1 topic
- Pavement2▲ 58×1 topic
- Reinforcement Learning2▲ 38×2 topics
- Recycled Materials2▲ 34×2 topics
- Cooperative Adaptive Cruise Control2▲ 91×1 topic
- Microscopic Simulation2▲ 91×1 topic
- Asphalt2▲ 108×1 topic
- Bitumen Modification2▲ 108×1 topic
- Child Injury2▲ 110×1 topic
- Unintentional Injuries2▲ 110×1 topic
- Time Series Analysis1▲ 15×2 topics
- Urban Traffic1▲ 19×3 topics
- Brain Injury1▲ 77×2 topics
- Eco-Driving1▲ 40×1 topic
- Fuel Consumption1▲ 28×1 topic
Which research topics does Virginia Tech Transportation Institute publish most on?
By volume in 2022–2025: Traffic and Road Safety, Autonomous Vehicle Technology and Safety, Human-Automation Interaction and Safety and Urban Transport and Accessibility.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Traffic and Road Safety Safety, Risk, Reliability and Quality 7 works
- 2 Autonomous Vehicle Technology and Safety Automotive Engineering 4 works
- 3 Human-Automation Interaction and Safety Social Psychology 3 works
- 4 Urban Transport and Accessibility Transportation 2 works
- 5 Infrastructure Maintenance and Monitoring Civil and Structural Engineering 2 works
- 6 Traffic control and management Control and Systems Engineering 2 works
- 7 Asphalt Pavement Performance Evaluation Civil and Structural Engineering 2 works
- 8 Injury Epidemiology and Prevention Public Health, Environmental and Occupational Health 2 works
- 9 Vehicle emissions and performance Automotive Engineering 1 works
- 10 Traffic Prediction and Management Techniques Building and Construction 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 Virginia Tech Transportation Institute's research output changed?
Output in 2018–2022 was 14% 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 Blacksburg
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.