- Research works
- 28 ▼ 45% vs 2013–17
- Citations
- 235 8.4 per fractional work
- Top-10% rate
- 14.7% record average 16.5%
- Open access
- 27% world 28%
Not ranked overall: Isra Vision (Germany) 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: Mathematics, 3.3×. Every wedge is a field page.
Which keywords describe research at Isra Vision (Germany)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Machine Vision, Texture Analysis, Innovation, Fabric Defect Detection, Semiconductor Manufacturing, Intraocular Pressure and Knowledge Management.
- Sustainable Development
- Engineering
- Reconfigurable Manufacturing Systems
- Keratoconus
- Cultural Heritage
- Glaucoma
- Information Technology
- Knowledge Management
- Semiconductor Manufacturing
- Texture Analysis
- Machine Vision
- Deep Learning
- Innovation
- Fabric Defect Detection
- Intraocular Pressure
- Industrial Automation
- Sustainability
- Corneal Biomechanics
- Flexible Automation
- Neural Networks
- Economic Development
- Management
- Image Processing
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
- Deep Learning4▲ 6.6×11 topics
- Machine Vision2▲ 44×3 topics
- Innovation2▲ 7.8×3 topics
- Texture Analysis2▲ 49×2 topics
- Fabric Defect Detection2▲ 156×1 topic
- Semiconductor Manufacturing2▲ 156×1 topic
- Intraocular Pressure2▲ 64×2 topics
- Knowledge Management2▲ 14×3 topics
- Industrial Automation2▲ 78×2 topics
- Information Technology2▲ 17×2 topics
- Sustainability2▲ 3.1×4 topics
- Glaucoma1▲ 30×3 topics
- Corneal Biomechanics1▲ 119×1 topic
- Cultural Heritage1▲ 11×3 topics
- Flexible Automation1▲ 154×1 topic
- Keratoconus1▲ 119×1 topic
- Neural Networks1▲ 4.6×5 topics
- Reconfigurable Manufacturing Systems1▲ 154×1 topic
- Economic Development1▲ 6.2×1 topic
- Engineering1▲ 43×2 topics
- Management1▲ 5.4×1 topic
- Sustainable Development1▲ 3.9×2 topics
- Image Processing1▲ 11×3 topics
Which research topics does Isra Vision (Germany) publish most on?
By volume in 2022–2025: Industrial Vision Systems and Defect Detection, Software System Performance and Reliability, Image and Object Detection Techniques and Fault Detection and Control Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 0 works
- 2 Software System Performance and Reliability Computer Networks and Communications 0 works
- 3 Image and Object Detection Techniques Computer Vision and Pattern Recognition 0 works
- 4 Fault Detection and Control Systems Control and Systems Engineering 0 works
- 5 Spectroscopy Techniques in Biomedical and Chemical Research Biophysics 0 works
- 6 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 7 Image Processing Techniques and Applications Media Technology 0 works
- 8 Organ Transplantation Techniques and Outcomes Surgery 0 works
- 9 Optical Imaging and Spectroscopy Techniques Radiology, Nuclear Medicine and Imaging 0 works
- 10 Advanced Chemical Sensor Technologies Biomedical 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 Isra Vision (Germany)'s research output changed?
Output in 2018–2022 was 45% 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.