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Research facility · Brisbane · Australia

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Computer Vision and Pattern RecognitionSubfield · 36.0 works15×
  2. Artificial IntelligenceSubfield · 26.4 works5.7×
  3. Computer ScienceField · 72.1 works4.9×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.63× its world share, 6 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.35× its world share, 4 worksBiochemistry, Geneti…Neuroscience: 1.13× its world share, 4 worksNeuroscienceChemical Engineering: 0.97× its world share, 1 worksChemical EngineeringChemistry: 0.26× its world share, 1 worksChemistryComputer Science: 4.86× its world share, 72 worksComputer ScienceEarth and Planetary Sciences: 1.93× its world share, 6 worksEarth and Planetary …Energy: 0.70× its world share, 1 worksEnergyEngineering: 1.76× its world share, 50 worksEngineeringEnvironmental Science: 0.75× its world share, 7 worksEnvironmental ScienceMaterials Science: 0.32× its world share, 2 worksMaterials ScienceMathematics: 0.49× its world share, 1 worksMathematicsPhysics and Astronomy: 1.10× its world share, 5 worksPhysics and AstronomyDentistry: 1.35× its world share, 1 worksDentistryHealth Professions: 0.22× its world share, 1 worksHealth ProfessionsMedicine: 0.55× its world share, 20 worksMedicineNursing: 0.09× its world share, 0 worksNursingVeterinary: 3.90× its world share, 1 worksVeterinaryArts and Humanities: 0.07× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.06× its world share, 0 worksBusiness, Management…Decision Sciences: 1.32× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.31× its world share, 1 worksEconomics, Econometr…Psychology: 0.37× its world share, 2 worksPsychologySocial Sciences: 0.07× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 4.9×. Every wedge is a field page.

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. 1 Gabriel Maicas Australia · #605,466 worldwide 31 citations · 15 works
  2. 2 Mitch Bryson Australia · #1,174,175 worldwide 59 citations · 19 works
All ranked researchers at Australian Centre for Robotic Vision

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning57▲ 8.7×56 topics
  2. Machine Learning26▲ 4.2×39 topics
  3. Neural Networks20▲ 6.8×27 topics
  4. Convolutional Neural Networks16▲ 11×11 topics
  5. Unsupervised Learning9▲ 34×3 topics
  6. Robotics9▲ 19×3 topics
  7. Medical Imaging8▲ 8.2×7 topics
  8. Mobile Robots8▲ 42×2 topics
  9. Transfer Learning8▲ 21×3 topics
  10. 3D Mapping8▲ 56×1 topic
  11. SLAM8▲ 56×1 topic
  12. Image Classification7▲ 21×2 topics
  13. Computer Vision7▲ 13×3 topics
  14. Convolutional Networks6▲ 24×3 topics
  15. Artificial Intelligence6▲ 2.4×10 topics
  16. Representation Learning6▲ 23×3 topics
  17. Meta-Learning6▲ 39×2 topics
  18. Nonlinear Systems6▲ 15×5 topics
  19. Autonomous Vehicles6▲ 15×3 topics
  20. Image Recognition6▲ 23×1 topic
  21. Object Detection6▲ 24×1 topic
  22. Semi-Supervised Learning6▲ 26×3 topics
  23. Collision Avoidance5▲ 15×3 topics
  24. Feature Extraction5▲ 5.9×7 topics
  25. Object Recognition5▲ 36×2 topics
  26. Feature Matching5▲ 43×1 topic
  27. Local Descriptors5▲ 43×1 topic
  28. Precision Medicine5▲ 5.5×4 topics
  29. Domain Adaptation5▲ 48×1 topic
  30. Few-Shot Learning5▲ 48×1 topic
  31. Multi-Agent Systems5▲ 13×3 topics
  32. Sensor Fusion5▲ 22×3 topics
  33. Image Processing4▲ 5.2×6 topics
  34. Image Captioning4▲ 43×1 topic
  35. Visual Question Answering4▲ 27×1 topic
  36. Texture Analysis4▲ 9.1×3 topics
  37. Medical Image Analysis4▲ 10×4 topics
  38. Pose Estimation4▲ 17×3 topics
  39. Depth Estimation4▲ 22×2 topics
  40. 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.

  1. 1 Robotics and Sensor-Based Localization Aerospace Engineering 8 works
  2. 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 works
  3. 3 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 5 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
  6. 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
  7. 7 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
  8. 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
  9. 9 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 2 works
  10. 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.

openly available33.1%not open66.9%

World: 28% of research is openly available.

with international co-authors29.6%domestic only70.4%

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.

1990200020102020
grewheldshrank

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

All research institutions in Brisbane

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.