Australian Centre for Robotic Vision
In research, Australian Centre for Robotic Vision stands highest in Computer Science (#1,552 of 4,667 worldwide) and Physical Sciences (#5,727 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 15.0× its share of world research.
- World rank, 2022–2025
- #8,813 of 28,054 · #6,183 all time
- Rank in Australia
- #146 of 391
- Research works
- 778 ▲ 25% vs 2013–17
- Citations
- 34k 43.4 per fractional work
- Top-10% rate
- 32.9% record average 16.5%
- Open access
- 33% world 28%
What is Australian Centre for Robotic Vision 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #1,552 of 4,667 | 33.2% | 72 | #1151 | |
| Physical SciencesDomain | #5,727 of 12,888 | 31.2% | 146 | #4015 |
Each strip is that field’s whole ranked pool, with the notch where Australian Centre for Robotic Vision 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 Australian Centre for Robotic Vision specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.0× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 36.0 works15×
- Artificial IntelligenceSubfield · 26.4 works5.7×
- Computer ScienceField · 72.1 works4.9×
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, 4.9×. Every wedge is a field page.
- Computer Science 4.9×
- Veterinary 3.9×
- Earth and Planetary Sciences 1.9×
- Engineering 1.8×
- Dentistry 1.4×
- Decision Sciences 1.3×
- Neuroscience 1.1×
- Physics and Astronomy 1.1×
- Chemical Engineering 1.0×
- Environmental Science 0.8×
- Energy 0.7×
- Agricultural and Biological Sciences 0.6×
- Medicine 0.6×
- Mathematics 0.5×
- Psychology 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Materials Science 0.3×
- Economics, Econometrics and Finance 0.3×
- Chemistry 0.3×
- Health Professions 0.2×
- Nursing 0.1×
- Arts and Humanities 0.1×
- Social Sciences 0.1×
- Business, Management and Accounting 0.1×
Who are the top researchers at Australian Centre for Robotic Vision?
Ranked on the composite score, Gabriel Maicas and Mitch Bryson lead among researchers whose main affiliation is Australian Centre for Robotic Vision.
- 1 Gabriel Maicas Australia · #605,466 worldwide 31 citations · 15 works
- 2 Mitch Bryson Australia · #1,174,175 worldwide 59 citations · 19 works
Which keywords describe research at Australian Centre for Robotic Vision?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Robotics, Medical Imaging and Mobile Robots.
- Terrestrial Laser Scanning
- Pose Estimation
- Texture Analysis
- Image Captioning
- Sensor Fusion
- Few-Shot Learning
- Precision Medicine
- Feature Matching
- Feature Extraction
- Semi-Supervised Learning
- Image Recognition
- Nonlinear Systems
- Representation Learning
- Convolutional Networks
- Image Classification
- 3D Mapping
- Mobile Robots
- Robotics
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Unsupervised Learning
- Medical Imaging
- Transfer Learning
- SLAM
- Computer Vision
- Artificial Intelligence
- Meta-Learning
- Autonomous Vehicles
- Object Detection
- Collision Avoidance
- Object Recognition
- Local Descriptors
- Domain Adaptation
- Multi-Agent Systems
- Image Processing
- Visual Question Answering
- Medical Image Analysis
- Depth Estimation
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 Learning57▲ 8.7×56 topics
- Machine Learning26▲ 4.2×39 topics
- Neural Networks20▲ 6.8×27 topics
- Convolutional Neural Networks16▲ 11×11 topics
- Unsupervised Learning9▲ 34×3 topics
- Robotics9▲ 19×3 topics
- Medical Imaging8▲ 8.2×7 topics
- Mobile Robots8▲ 42×2 topics
- Transfer Learning8▲ 21×3 topics
- 3D Mapping8▲ 56×1 topic
- SLAM8▲ 56×1 topic
- Image Classification7▲ 21×2 topics
- Computer Vision7▲ 13×3 topics
- Convolutional Networks6▲ 24×3 topics
- Artificial Intelligence6▲ 2.4×10 topics
- Representation Learning6▲ 23×3 topics
- Meta-Learning6▲ 39×2 topics
- Nonlinear Systems6▲ 15×5 topics
- Autonomous Vehicles6▲ 15×3 topics
- Image Recognition6▲ 23×1 topic
- Object Detection6▲ 24×1 topic
- Semi-Supervised Learning6▲ 26×3 topics
- Collision Avoidance5▲ 15×3 topics
- Feature Extraction5▲ 5.9×7 topics
- Object Recognition5▲ 36×2 topics
- Feature Matching5▲ 43×1 topic
- Local Descriptors5▲ 43×1 topic
- Precision Medicine5▲ 5.5×4 topics
- Domain Adaptation5▲ 48×1 topic
- Few-Shot Learning5▲ 48×1 topic
- Multi-Agent Systems5▲ 13×3 topics
- Sensor Fusion5▲ 22×3 topics
- Image Processing4▲ 5.2×6 topics
- Image Captioning4▲ 43×1 topic
- Visual Question Answering4▲ 27×1 topic
- Texture Analysis4▲ 9.1×3 topics
- Medical Image Analysis4▲ 10×4 topics
- Pose Estimation4▲ 17×3 topics
- Depth Estimation4▲ 22×2 topics
- Terrestrial Laser Scanning3▲ 14×2 topics
Which research topics does Australian Centre for Robotic Vision publish most on?
By volume in 2022–2025: Robotics and Sensor-Based Localization, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques and Domain Adaptation and Few-Shot Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Robotics and Sensor-Based Localization Aerospace Engineering 8 works
- 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 works
- 3 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 5 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
- 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
- 7 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 2 works
- 10 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 2 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 Australian Centre for Robotic Vision's research output changed?
Output in 2018–2022 was 25% 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 Brisbane
- The University of Queensland
- Queensland University of Technology
- Griffith University
- Australian Catholic University
- Royal Brisbane and Women's Hospital
- QIMR Berghofer Medical Research Institute
- Princess Alexandra Hospital
- Boeing (Australia)
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.