Vision Technology (United States)
In research, Vision Technology (United States) stands highest in Physical Sciences (#10,217 of 12,888 worldwide) and Engineering (#5,856 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Electrical and Electronic Engineering — Electrical and Electronic Engineering is 5.0× its share of world research.
- World rank, 2022–2025
- #18,930 of 28,054 · #26,308 all time
- Rank in United States
- #2,754 of 4,192
- Research works
- 260 ▲ 126% vs 2013–17
- Citations
- 2.5k 9.8 per fractional work
- Top-10% rate
- 11.4% record average 16.5%
- Open access
- 29% world 28%
What is Vision Technology (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 | #10,217 of 12,888 | 10.6% | 108 | #15344 | |
| EngineeringField | #5,856 of 6,636 | 9.4% | 61 | — |
Each strip is that field’s whole ranked pool, with the notch where Vision Technology (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).
What does Vision Technology (United States) specialise in?
Where its research is concentrated relative to its size: Electrical and Electronic Engineering takes 5.0× the share of its output that it takes of world research.
- Electrical and Electronic EngineeringSubfield · 23.9 works5.0×
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: Computer Science, 3.2×. Every wedge is a field page.
- Computer Science 3.2×
- Engineering 3.1×
- Physics and Astronomy 1.4×
- Decision Sciences 1.4×
- Materials Science 1.3×
- Neuroscience 0.9×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Earth and Planetary Sciences 0.4×
- Business, Management and Accounting 0.4×
- Medicine 0.4×
- Chemistry 0.3×
- Environmental Science 0.3×
- Mathematics 0.2×
- Energy 0.2×
- Social Sciences 0.2×
- Arts and Humanities 0.1×
- Health Professions 0.1×
- Psychology 0.1×
- Agricultural and Biological Sciences 0.1×
- Economics, Econometrics and Finance 0.1×
Which keywords describe research at Vision Technology (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Solar Cells, Convolutional Neural Networks, Flexible Electronics, Image Processing, Plasmonics and Amorphous Oxide Semiconductors.
- Pose Estimation
- Unsupervised Learning
- Graph Convolutional Networks
- Photovoltaics
- Antenna
- Resource Management
- Cloud Computing
- Collision Avoidance
- Wireless Communications
- Intelligent Transportation Systems
- LEO Satellite Constellation
- Organic Light-Emitting Diodes
- Nanoparticles
- Big Data
- Energy Efficiency
- Plasmonics
- Amorphous Oxide Semiconductors
- Flexible Electronics
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Solar Cells
- Image Processing
- Internet of Things
- Thin-Film Transistors
- Electroluminescence
- Security
- Machine Vision
- Phosphorescent Materials
- Satellite Communications
- Texture Analysis
- Distributed Systems
- Computer Vision
- Convolutional Networks
- Wireless Networks
- Microstrip
- Traffic Flow
- Photon Counting
- High-Speed Imaging
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 Learning22▲ 5.0×54 topics
- Neural Networks9▲ 4.2×21 topics
- Machine Learning7▲ 1.58×26 topics
- Convolutional Neural Networks6▲ 6.5×13 topics
- Solar Cells6▲ 23×6 topics
- Flexible Electronics4▲ 20×3 topics
- Image Processing4▲ 7.5×9 topics
- Amorphous Oxide Semiconductors4▲ 146×1 topic
- Internet of Things4▲ 3.5×12 topics
- Plasmonics4▲ 56×2 topics
- Thin-Film Transistors4▲ 146×1 topic
- Energy Efficiency4▲ 3.2×11 topics
- Electroluminescence4▲ 81×2 topics
- Big Data4▲ 3.1×10 topics
- Security4▲ 4.1×12 topics
- Nanoparticles3▲ 2.0×10 topics
- Machine Vision3▲ 11×4 topics
- Organic Light-Emitting Diodes3▲ 84×1 topic
- Phosphorescent Materials3▲ 84×1 topic
- LEO Satellite Constellation3▲ 72×1 topic
- Satellite Communications3▲ 72×1 topic
- Intelligent Transportation Systems2▲ 12×3 topics
- Texture Analysis2▲ 7.7×3 topics
- Wireless Communications2▲ 10×2 topics
- Distributed Systems2▲ 9.4×3 topics
- Collision Avoidance2▲ 8.4×4 topics
- Computer Vision2▲ 5.5×3 topics
- Cloud Computing2▲ 5.3×6 topics
- Convolutional Networks2▲ 10×3 topics
- Resource Management2▲ 8.5×2 topics
- Wireless Networks2▲ 9.2×5 topics
- Antenna2▲ 16×1 topic
- Microstrip2▲ 16×1 topic
- Photovoltaics2▲ 8.2×3 topics
- Traffic Flow2▲ 13×2 topics
- Graph Convolutional Networks2▲ 12×2 topics
- Photon Counting2▲ 19×3 topics
- Unsupervised Learning2▲ 8.8×3 topics
- High-Speed Imaging2▲ 17×2 topics
- Pose Estimation2▲ 11×2 topics
Which research topics does Vision Technology (United States) publish most on?
By volume in 2022–2025: Thin-Film Transistor Technologies, Organic Light-Emitting Diodes Research, Satellite Communication Systems and Antenna Design and Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Thin-Film Transistor Technologies Electrical and Electronic Engineering 4 works
- 2 Organic Light-Emitting Diodes Research Electrical and Electronic Engineering 3 works
- 3 Satellite Communication Systems Aerospace Engineering 3 works
- 4 Antenna Design and Analysis Aerospace Engineering 2 works
- 5 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 1 works
- 6 Distributed and Parallel Computing Systems Computer Networks and Communications 1 works
- 7 Traffic Prediction and Management Techniques Building and Construction 1 works
- 8 Advanced Optical Network Technologies Electrical and Electronic Engineering 1 works
- 9 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 1 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 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 Vision Technology (United States)'s research output changed?
Output in 2018–2022 was 126% 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 Bismarck
- University of Mary
- North Dakota Game and Fish Department
- North Dakota Department of Health
- Bismarck State College
- Sanford Medical Center
- St. Alexius Heart and Lung Clinic
- United Tribes Technical College
- North Dakota University System
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.