Vision Australia
In research, Vision Australia stands highest in Physical Sciences (#16,258 of 21,541 worldwide), over all time.
- World rank, all time
- #18,379 of 42,892
- Rank in Australia
- #338 of 656
- Research works
- 363 ▼ 5% vs 2013–17
- Citations
- 8.8k 24.3 per fractional work
- Top-10% rate
- 31.7% record average 16.5%
- Open access
- 28% world 28%
What is Vision Australia 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 |
|---|---|---|---|---|
| Physical SciencesDomain | #16,258 of 21,541 | 21.4% | 127 |
Each strip is that field’s whole ranked pool, with the notch where Vision Australia 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: Computer Science, 3.0×. Every wedge is a field page.
- Computer Science 3.0×
- Neuroscience 2.9×
- Earth and Planetary Sciences 2.2×
- Engineering 1.6×
- Decision Sciences 1.3×
- Environmental Science 1.3×
- Psychology 1.2×
- Medicine 1.0×
- Nursing 0.9×
- Agricultural and Biological Sciences 0.6×
- Social Sciences 0.6×
- Health Professions 0.5×
- Business, Management and Accounting 0.3×
- Mathematics 0.2×
- Arts and Humanities 0.1×
- Chemistry 0.1×
- Materials Science 0.1×
- Immunology and Microbiology 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
Which keywords describe research at Vision Australia?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Remote Sensing, Neural Networks, Image Processing, Feature Extraction, Visual Impairment and Myopia.
- Wireless Sensors
- Image Analysis
- Distal Radius Fractures
- Transfer Learning
- Pavement
- Refractive Error
- Global Prevalence
- Visual Impairment
- Image Processing
- Epidemiology
- Remote Sensing
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Neural Networks
- Climate Change
- Feature Extraction
- Classification
- Myopia
- Crack Detection
- Sensor Networks
- Unsupervised Learning
- Flexor Tendon Repair
- Vibration-based Damage Identification
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 24 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 24 words, with their numbers
- Deep Learning9▲ 6.8×29 topics
- Convolutional Neural Networks3▲ 11×9 topics
- Machine Learning3▲ 2.0×15 topics
- Remote Sensing2▲ 4.9×6 topics
- Neural Networks2▲ 3.9×9 topics
- Epidemiology2▲ 1.43×8 topics
- Climate Change2▲ 2.0×14 topics
- Image Processing2▲ 9.9×5 topics
- Feature Extraction2▲ 8.3×5 topics
- Visual Impairment1▲ 75×2 topics
- Classification1▲ 7.3×4 topics
- Global Prevalence1▲ 37×1 topic
- Myopia1▲ 58×2 topics
- Refractive Error1▲ 89×1 topic
- Crack Detection1▲ 44×1 topic
- Pavement1▲ 44×1 topic
- Sensor Networks1▲ 11×2 topics
- Transfer Learning1▲ 15×3 topics
- Unsupervised Learning1▲ 21×2 topics
- Distal Radius Fractures1▲ 48×1 topic
- Flexor Tendon Repair1▲ 48×1 topic
- Image Analysis1▲ 28×2 topics
- Vibration-based Damage Identification1▲ 39×1 topic
- Wireless Sensors1▲ 39×1 topic
Which research topics does Vision Australia publish most on?
By volume in 2022–2025: Ophthalmology and Visual Impairment Studies, Infrastructure Maintenance and Monitoring, Orthopedic Surgery and Rehabilitation and Structural Health Monitoring Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Ophthalmology and Visual Impairment Studies Epidemiology 1 works
- 2 Infrastructure Maintenance and Monitoring Civil and Structural Engineering 1 works
- 3 Orthopedic Surgery and Rehabilitation Surgery 1 works
- 4 Structural Health Monitoring Techniques Civil and Structural Engineering 1 works
- 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 1 works
- 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 7 Remote-Sensing Image Classification Media Technology 1 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 1 works
- 9 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 1 works
- 10 Structural Engineering and Vibration Analysis Civil and Structural Engineering 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 Australia's research output changed?
Output in 2018–2022 was 5% 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.
Other research institutions in Melbourne
- The University of Melbourne
- Monash University
- La Trobe University
- RMIT University
- Swinburne University of Technology
- The Royal Melbourne Hospital
- Victoria University
- Royal Children's Hospital
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.