Transportation Learning Center
- Research works
- 30 ▲ 213% vs 2018-21
- Citations
- 180 6.0 per fractional work
- Top-10% rate
- 7.0% all institutions 10.0%
- Open access
- 40% world 40%
- International
- 34% world 18%
Not ranked overall: Transportation Learning Center is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does Transportation Learning Center work in?
In all years, 75% of research at Transportation Learning Center is in Physical Sciences, 21% in Social Sciences. Its largest fields are Engineering (53%), Social Sciences (11%), Materials Science (8%). It does 1.7× 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 all years. 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 17 fields, with their numbers
- Physical Sciences2275.2%
- Engineering1653.4%
- Materials Science28.2%
- Computer Science25.9%
- Environmental Science14.2%
- Earth and Planetary Sciences01.4%
- Chemistry01.1%
- Chemical Engineering00.7%
- Energy00.3%
- Social Sciences621.4%
- Health Sciences12.6%
- Health Professions12.0%
- Medicine00.6%
- Life Sciences00.7%
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, 3.4×. Every wedge is a field page.
All 7 fields, with their numbers
- Engineering3.43×3 works
- Health Professions3.00×0 works
- Psychology1.73×0 works
- Business, Management and Accounting1.64×0 works
- Social Sciences1.60×1 works
- Computer Science1.13×1 works
- Materials Science0.30×0 works
Which keywords describe research at Transportation Learning Center?
By fractional works in all years, weighted toward what it does more of than the world: Dynamic Deformation, High Strain Rate, Intelligent Transportation Systems, Traffic Flow, Travel Behavior, Risk Assessment, Public Transport and Service Quality.
- Simulation
- Maritime Transportation
- Spatio-Temporal Data
- Collision Avoidance
- Supply Chain
- Urban Traffic
- Environmental Impacts
- Public Transport
- Neural Networks
- Travel Behavior
- Traffic Flow
- High Strain Rate
- Dynamic Deformation
- Intelligent Transportation Systems
- Deep Learning
- Machine Learning
- Risk Assessment
- Service Quality
- Supply Chain Management
- Coal Mine
- Traffic Safety
- Short-Term Forecasting
- Cooperative Adaptive Cruise Control
- Microscopic Simulation
- Sustainability
Size is fractional works in all years 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 25 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 25 words, with their numbers
- Dynamic Deformation2▲ 231×1 topic
- High Strain Rate2▲ 231×1 topic
- Intelligent Transportation Systems2▲ 82×2 topics
- Traffic Flow2▲ 117×2 topics
- Deep Learning2▲ 3.1×6 topics
- Travel Behavior2▲ 89×2 topics
- Machine Learning2▲ 2.9×7 topics
- Neural Networks2▲ 5.7×4 topics
- Risk Assessment2▲ 10×4 topics
- Public Transport2▲ 100×1 topic
- Service Quality2▲ 34×1 topic
- Environmental Impacts1▲ 22×2 topics
- Supply Chain Management1▲ 8.7×3 topics
- Urban Traffic1▲ 70×2 topics
- Coal Mine1▲ 83×2 topics
- Supply Chain1▲ 22×2 topics
- Traffic Safety1▲ 73×2 topics
- Collision Avoidance1▲ 31×3 topics
- Short-Term Forecasting1▲ 54×1 topic
- Spatio-Temporal Data1▲ 111×1 topic
- Cooperative Adaptive Cruise Control1▲ 125×1 topic
- Maritime Transportation1▲ 101×2 topics
- Microscopic Simulation1▲ 125×1 topic
- Simulation1▲ 10×3 topics
- Sustainability1▲ 1.89×2 topics
Which research topics does Transportation Learning Center publish most on?
By volume in 2022-now: Traffic Prediction and Management Techniques, Traffic control and management, Traffic and Road Safety and Autonomous Vehicle Technology and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Traffic Prediction and Management Techniques Building and Construction 0 works
- 2 Traffic control and management Control and Systems Engineering 0 works
- 3 Traffic and Road Safety Safety, Risk, Reliability and Quality 0 works
- 4 Autonomous Vehicle Technology and Safety Automotive Engineering 0 works
- 5 Human Mobility and Location-Based Analysis Transportation 0 works
- 6 Safety Warnings and Signage Social Psychology 0 works
- 7 Military history and social perspectives Cultural Studies 0 works
- 8 Japanese History and Culture Cultural Studies 0 works
- 9 Transport and Economic Policies Strategy and Management 0 works
- 10 History, Culture, and Society Speech and Hearing 0 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 Transportation Learning Center's research output changed?
Output in 2022-2025 was 213% 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 Transportation Learning Center as a percentage of every work published that year, 0.000020% in 2024.
Fractional works of Transportation Learning Center over all fractional works that year. How the balance of science has shifted.
Other research institutions in Silver Spring
- United States Food and Drug Administration
- Armed Forces Institute of Pathology
- American Nurses Association
- Technology Service Corporation (United States)
- Planetary Systems (United States)
- National Association of School Nurses
- National Medical Association
- American Nurses Credentialing Center
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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