Australian Centre for Robotic Vision
In research, Australian Centre for Robotic Vision stands highest in Physical Sciences (#2,712 of 10,670 worldwide) and Computer Science (#1,757 of 4,417 worldwide), 2022-now. 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 15.1× its share of world research).
- World rank, 2022-now
- #6,552 of 22,385 · #4,290 all time
- Rank in Australia
- #93 of 270
- Research works
- 778 ▲ 12% vs 2018-21
- Citations
- 34k 43.4 per fractional work
- Top-10% rate
- 17.8% all institutions 10.0%
- vs its own fields
- 1.22× 1.00× is exactly expected
- Open access
- 33% world 40%
- International
- 30% world 18%
What is Australian Centre for Robotic Vision known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #2,712 of 10,670 | 16.0% | 146 | #1903 | |
| Computer ScienceField | #1,757 of 4,417 | 15.3% | 72 | #1190 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Australian Centre for Robotic Vision work in?
In 2022-now, 77% of research at Australian Centre for Robotic Vision is in Physical Sciences, 12% in Health Sciences. Its largest fields are Computer Science (38%), Engineering (26%), Medicine (10%). It does 1.9× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 24 fields, with their numbers
- Physical Sciences15776.9%
- Computer Science7838.3%
- Engineering5326.1%
- Environmental Science83.7%
- Earth and Planetary Sciences63.1%
- Physics and Astronomy52.6%
- Materials Science21.1%
- Chemistry10.6%
- Energy10.6%
- Mathematics10.5%
- Chemical Engineering10.3%
- Health Sciences2512.2%
- Medicine2110.4%
- Health Professions10.7%
- Dentistry10.6%
- Veterinary10.5%
- Nursing00.0%
- Life Sciences146.7%
- Social Sciences94.2%
What does Australian Centre for Robotic Vision specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.1× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 38.8 works15×
- Artificial IntelligenceSubfield · 29.1 works5.9×
- Computer ScienceField · 78.0 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.
All 24 fields, with their numbers
- Computer Science4.92×78 works
- Veterinary3.65×1 works
- Earth and Planetary Sciences1.99×6 works
- Engineering1.74×53 works
- Dentistry1.26×1 works
- Decision Sciences1.23×2 works
- Physics and Astronomy1.18×5 works
- Neuroscience1.13×4 works
- Chemical Engineering0.91×1 works
- Environmental Science0.74×8 works
- Energy0.65×1 works
- Agricultural and Biological Sciences0.59×6 works
- Medicine0.54×21 works
- Mathematics0.46×1 works
- Chemistry0.40×1 works
- Biochemistry, Genetics and Molecular Biology0.39×4 works
- Psychology0.37×2 works
- Materials Science0.30×2 works
- Economics, Econometrics and Finance0.29×1 works
- Health Professions0.25×1 works
- Nursing0.08×0 works
- Social Sciences0.07×2 works
- Arts and Humanities0.06×0 works
- Business, Management and Accounting0.05×0 works
- Computer Science 4.9×
- Veterinary 3.6×
- Earth and Planetary Sciences 2.0×
- Engineering 1.7×
- Dentistry 1.3×
- Decision Sciences 1.2×
- Physics and Astronomy 1.2×
- Neuroscience 1.1×
- Chemical Engineering 0.9×
- Environmental Science 0.7×
- Energy 0.7×
- Agricultural and Biological Sciences 0.6×
- Medicine 0.5×
- Mathematics 0.5×
- Chemistry 0.4×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Psychology 0.4×
- Materials Science 0.3×
- Economics, Econometrics and Finance 0.3×
- Health Professions 0.2×
- Nursing 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.1×
- Business, Management and Accounting 0.1×
Who are the top researchers at Australian Centre for Robotic Vision?
Ranked on the quality score, Yongliang Qiao lead among researchers whose main affiliation is Australian Centre for Robotic Vision.
- 1
Yongliang Qiao
Australia · #317,085 worldwide 2.6k citations · 98 works
Which keywords describe research at Australian Centre for Robotic Vision?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Robotics, Unsupervised Learning, Mobile Robots and 3D Mapping.
- Point Clouds
- Texture Analysis
- Optical Flow
- Visual Question Answering
- Depth Estimation
- Domain Adaptation
- Precision Medicine
- Feature Matching
- Feature Extraction
- Semi-Supervised Learning
- Collision Avoidance
- Image Recognition
- Nonlinear Systems
- Autonomous Vehicles
- Convolutional Networks
- Medical Imaging
- 3D Mapping
- Unsupervised Learning
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Robotics
- Mobile Robots
- SLAM
- Transfer Learning
- Image Classification
- Computer Vision
- Representation Learning
- Object Detection
- Meta-Learning
- Multi-Agent Systems
- Object Recognition
- Local Descriptors
- Sensor Fusion
- Few-Shot Learning
- Image Captioning
- Terrestrial Laser Scanning
- Stereo Vision
- 3D Reconstruction
Size is fractional works in 2022-now 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 Learning61▲ 8.6×56 topics
- Machine Learning28▲ 4.2×43 topics
- Neural Networks22▲ 6.9×27 topics
- Convolutional Neural Networks16▲ 11×11 topics
- Robotics10▲ 20×3 topics
- Unsupervised Learning10▲ 32×3 topics
- Mobile Robots9▲ 44×2 topics
- 3D Mapping8▲ 60×1 topic
- SLAM8▲ 60×1 topic
- Medical Imaging8▲ 7.6×7 topics
- Transfer Learning8▲ 20×3 topics
- Convolutional Networks7▲ 25×3 topics
- Image Classification7▲ 18×2 topics
- Autonomous Vehicles7▲ 16×3 topics
- Computer Vision7▲ 12×3 topics
- Nonlinear Systems6▲ 14×5 topics
- Representation Learning6▲ 20×3 topics
- Image Recognition6▲ 21×1 topic
- Object Detection6▲ 22×1 topic
- Collision Avoidance6▲ 16×3 topics
- Meta-Learning6▲ 35×2 topics
- Semi-Supervised Learning6▲ 24×3 topics
- Multi-Agent Systems6▲ 15×4 topics
- Feature Extraction5▲ 5.7×7 topics
- Object Recognition5▲ 35×2 topics
- Feature Matching5▲ 44×1 topic
- Local Descriptors5▲ 44×1 topic
- Precision Medicine5▲ 5.0×4 topics
- Sensor Fusion5▲ 23×3 topics
- Domain Adaptation5▲ 41×1 topic
- Few-Shot Learning5▲ 41×1 topic
- Depth Estimation4▲ 27×2 topics
- Image Captioning4▲ 38×1 topic
- Visual Question Answering4▲ 24×1 topic
- Terrestrial Laser Scanning4▲ 17×2 topics
- Optical Flow4▲ 40×1 topic
- Stereo Vision4▲ 40×1 topic
- Texture Analysis4▲ 8.9×3 topics
- 3D Reconstruction4▲ 21×2 topics
- Point Clouds4▲ 21×2 topics
Which research topics does Australian Centre for Robotic Vision publish most on?
By volume in 2022-now: 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 4 works
- 7 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 8 Robotic Path Planning Algorithms Computer Vision and Pattern Recognition 3 works
- 9 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 3 works
- 10 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 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: 40% of research is openly available.
World: 18% is written across borders.
How has Australian Centre for Robotic Vision's research output changed?
Output in 2022-2025 was 12% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Australian Centre for Robotic Vision as a percentage of every work published that year, 0.00077% in 2024.
Fractional works of Australian Centre for Robotic Vision over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 26.8% in 2012.
Other research institutions in Brisbane
- The University of Queensland
- Griffith University
- Queensland University of Technology
- Australian Catholic University
- Queensland Health
- QIMR Berghofer Medical Research Institute
- Boeing (Australia)
- Queensland Government
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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