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University · Canberra · Australia

Australian Defence Force Academy

In research, Australian Defence Force Academy stands highest in Physical Sciences (#8,084 of 12,888 worldwide) and Computer Science (#3,707 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Artificial Intelligence — Computer Vision and Pattern Recognition is 7.6× its share of world research.

unsw.edu.au/canberra/about-us/our-campuses/unsw-adfaROR OpenAlex
World rank, 2022–2025
#14,158
of 28,054 · #3,930 all time
Rank in Australia
#239
of 391
Research works
3.1k
▼ 21% vs 2013–17
Citations
73k
23.6 per fractional work
Top-10% rate
14.9%
record average 16.5%
Open access
21%
world 28%

What is Australian Defence Force Academy 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
Physical SciencesDomain #8,084 of 12,888 12.1%159 #2569
Computer ScienceField #3,707 of 4,667 12.8%70 #1939

Each strip is that field’s whole ranked pool, with the notch where Australian Defence Force Academy 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 Defence Force Academy specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 7.6× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 20.3 works7.6×
  2. Artificial IntelligenceSubfield · 31.0 works6.1×
← less than its size predicts1×more →

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: 0.06× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.22× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.04× its world share, 0 worksImmunology and Micro…Neuroscience: 0.56× its world share, 2 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.22× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.90× its world share, 1 worksChemical EngineeringChemistry: 1.07× its world share, 4 worksChemistryComputer Science: 4.24× its world share, 70 worksComputer ScienceEarth and Planetary Sciences: 1.11× its world share, 4 worksEarth and Planetary …Energy: 0.19× its world share, 0 worksEnergyEngineering: 1.62× its world share, 51 worksEngineeringEnvironmental Science: 0.57× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.52× its world share, 4 worksMaterials ScienceMathematics: 3.32× its world share, 8 worksMathematicsPhysics and Astronomy: 2.35× its world share, 11 worksPhysics and AstronomyDentistry: 0.32× its world share, 0 worksDentistryHealth Professions: 0.70× its world share, 4 worksHealth ProfessionsMedicine: 0.17× its world share, 7 worksMedicineNursing: 0.12× its world share, 0 worksNursingArts and Humanities: 0.64× its world share, 4 worksArts and HumanitiesBusiness, Management and Accounting: 0.75× its world share, 5 worksBusiness, Management…Decision Sciences: 2.25× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.87× its world share, 4 worksEconomics, Econometr…Psychology: 0.59× its world share, 4 worksPsychologySocial Sciences: 0.56× its world share, 15 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.2×. Every wedge is a field page.

Who are the top researchers at Australian Defence Force Academy?

Ranked on the composite score, Alexander V. Buryak, C. H. Smith and R.A. Sammut lead among researchers whose main affiliation is Australian Defence Force Academy.

  1. 1 Alexander V. Buryak Australia · #147,373 worldwide 227 citations · 23 works
  2. 2 C. H. Smith Australia · #360,548 worldwide 115 citations · 36 works
  3. 3 R.A. Sammut Australia · #381,936 worldwide 133 citations · 31 works
  4. 4 Valery Ugrinovskii Australia · #437,961 worldwide 208 citations · 72 works
  5. 5 Warren Smith Australia · #459,221 worldwide 108 citations · 27 works
  6. 6 Brett Bowden Australia · #467,887 worldwide 29 citations · 19 works
  7. 7 Alan P. Arnold Australia · #600,444 worldwide 56 citations · 15 works
  8. 8 Anthony Bergin Australia · #637,765 worldwide 32 citations · 47 works
  9. 9 James Goldrick Australia · #649,465 worldwide 2 citations · 19 works
  10. 10 Robert Fagan Australia · #670,205 worldwide 15 citations · 16 works
All ranked researchers at Australian Defence Force Academy

Which keywords describe research at Australian Defence Force Academy?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Artificial Neural Networks, Machine Learning, Backpropagation Learning, Self-Organizing Maps, Sparse Representation and Medical Image Analysis.

▲ 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 Learning32▲ 4.4×35 topics
  2. Neural Networks22▲ 6.7×18 topics
  3. Machine Learning19▲ 2.8×33 topics
  4. Artificial Neural Networks12▲ 12×4 topics
  5. Backpropagation Learning10▲ 57×1 topic
  6. Self-Organizing Maps10▲ 57×1 topic
  7. Sparse Representation7▲ 17×5 topics
  8. Remote Sensing7▲ 2.5×16 topics
  9. Medical Image Analysis7▲ 17×3 topics
  10. Texture Analysis6▲ 13×3 topics
  11. Security6▲ 4.3×10 topics
  12. Image Segmentation6▲ 22×2 topics
  13. Classification6▲ 5.8×7 topics
  14. Active Contours6▲ 77×1 topic
  15. Graph Cuts6▲ 77×1 topic
  16. Reconstruction5▲ 14×3 topics
  17. Cultural Heritage5▲ 4.0×2 topics
  18. Evolutionary Algorithms5▲ 20×4 topics
  19. Archaeological Artifacts4▲ 71×1 topic
  20. Fragmented Objects4▲ 71×1 topic
  21. Support Vector Machines4▲ 6.1×5 topics
  22. Privacy4▲ 6.4×5 topics
  23. High-Dimensional Data4▲ 12×2 topics
  24. Hyperspectral Imaging4▲ 6.5×6 topics
  25. Local Binary Patterns4▲ 26×2 topics
  26. Deep Neural Networks4▲ 15×3 topics
  27. Face Recognition4▲ 14×2 topics
  28. Detection3▲ 5.5×5 topics
  29. Feature Selection3▲ 7.2×4 topics
  30. Beamforming3▲ 14×2 topics
  31. Fault Detection3▲ 11×1 topic
  32. Process Monitoring3▲ 15×1 topic
  33. Clustering Algorithms3▲ 20×2 topics
  34. Ensemble Methods3▲ 20×2 topics
  35. Cluster Validation3▲ 116×1 topic
  36. K-means3▲ 116×1 topic
  37. Meta-Learning3▲ 18×2 topics
  38. Outlier Detection3▲ 10×2 topics
  39. Parameter Estimation3▲ 11×3 topics
  40. Principal Component Analysis3▲ 9.8×2 topics

Which research topics does Australian Defence Force Academy publish most on?

By volume in 2022–2025: Neural Networks and Applications, Medical Image Segmentation Techniques, Image Processing and 3D Reconstruction and Fault Detection and Control Systems.

Neural Networks and Appl…10Neural Networks and Applications: 10 fractional worksMedical Image Segmentati…6Medical Image Segmentation Techniques: 6 fractional worksImage Processing and 3D …4Image Processing and 3D Reconstruction: 4 fractional worksFault Detection and Control Systems: 3 fractional worksAdvanced Clustering Algorithms Research: 3 fractional worksSpeech and Audio Processing: 3 fractional worksInfrared Target Detection Methodologies: 3 fractional worksFace and Expression Recognition: 2 fractional worksMachine Learning and Data Classification: 2 fractional worksAdvanced Statistical Methods and Models: 2 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionControl and Systems EngineeringSignal Processing2 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Neural Networks and Applications Artificial Intelligence 10 works
  2. 2 Medical Image Segmentation Techniques Computer Vision and Pattern Recognition 6 works
  3. 3 Image Processing and 3D Reconstruction Computer Vision and Pattern Recognition 4 works
  4. 4 Fault Detection and Control Systems Control and Systems Engineering 3 works
  5. 5 Advanced Clustering Algorithms Research Artificial Intelligence 3 works
  6. 6 Speech and Audio Processing Signal Processing 3 works
  7. 7 Infrared Target Detection Methodologies Aerospace Engineering 3 works
  8. 8 Face and Expression Recognition Computer Vision and Pattern Recognition 2 works
  9. 9 Machine Learning and Data Classification Artificial Intelligence 2 works
  10. 10 Advanced Statistical Methods and Models Statistics and Probability 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 available21.0%not open79.0%

World: 28% of research is openly available.

with international co-authors20.9%domestic only79.1%

World: 19% is written across borders.

How has Australian Defence Force Academy's research output changed?

Output in 2018–2022 was 21% lower 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 Canberra

All research institutions in Canberra

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.