Technology International Incorporated of Virginia (United States)
- Research works
- 42 ▼ 75% vs 2013–17
- Citations
- 589 14.0 per fractional work
- Top-10% rate
- 10.5% record average 16.5%
- Open access
- 42% world 28%
Not ranked overall: Technology International Incorporated of Virginia (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Physics and Astronomy, 4.4×. Every wedge is a field page.
Which keywords describe research at Technology International Incorporated of Virginia (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Sensitivity Analysis, Machine Learning, Neural Network, Fault Detection, Process Monitoring, Plasma Etching, Semiconductor Industry and Architecture-Based Approach.
- Quality of Life
- Genomic Analysis
- Phenomenology
- Fault Diagnosis
- Software Reliability Modeling
- Plasma Etching
- Bayesian Networks
- Process Monitoring
- Nanocomposites
- Identity
- Sensitivity Analysis
- Machine Learning
- Biomedical Applications
- Fault Detection
- Neural Network
- Architecture-Based Approach
- Fault Tree Analysis
- Semiconductor Industry
- Deep Learning
- Healthcare
- Ancient DNA
- Qualitative Research
- Social Sciences
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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Machine Learning2▲ 2.8×6 topics
- Sensitivity Analysis2▲ 34×3 topics
- Biomedical Applications2▲ 3.5×6 topics
- Identity2▲ 4.5×4 topics
- Fault Detection1▲ 27×1 topic
- Nanocomposites1▲ 4.2×8 topics
- Neural Network1▲ 12×2 topics
- Process Monitoring1▲ 32×1 topic
- Architecture-Based Approach1▲ 102×1 topic
- Bayesian Networks1▲ 37×1 topic
- Fault Tree Analysis1▲ 68×1 topic
- Plasma Etching1▲ 70×1 topic
- Semiconductor Industry1▲ 70×1 topic
- Software Reliability Modeling1▲ 102×1 topic
- Deep Learning1▲ 1.18×10 topics
- Fault Diagnosis1▲ 12×4 topics
- Healthcare1▲ 3.7×2 topics
- Phenomenology1▲ 22×2 topics
- Ancient DNA1▲ 41×1 topic
- Genomic Analysis1▲ 8.1×1 topic
- Qualitative Research1▲ 4.1×1 topic
- Quality of Life1▲ 1.77×4 topics
- Social Sciences1▲ 14×1 topic
Which research topics does Technology International Incorporated of Virginia (United States) publish most on?
By volume in 2022–2025: Forensic and Genetic Research, Disability Education and Employment, Teacher Education and Leadership Studies and Disability Rights and Representation.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Forensic and Genetic Research Genetics 1 works
- 2 Disability Education and Employment Safety Research 1 works
- 3 Teacher Education and Leadership Studies Education 1 works
- 4 Disability Rights and Representation Safety Research 1 works
- 5 Plant Pathogens and Fungal Diseases Cell Biology 0 works
- 6 Advanced Manufacturing and Logistics Optimization Industrial and Manufacturing Engineering 0 works
- 7 Robot Manipulation and Learning Control and Systems Engineering 0 works
- 8 Modular Robots and Swarm Intelligence Mechanical Engineering 0 works
- 9 Plasma Diagnostics and Applications Electrical and Electronic Engineering 0 works
- 10 Electrohydrodynamics and Fluid Dynamics Electrical and Electronic Engineering 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: 28% of research is openly available.
World: 19% is written across borders.
How has Technology International Incorporated of Virginia (United States)'s research output changed?
Output in 2018–2022 was 75% 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.
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.