Data61
In research, Data61 stands highest in Computer Science (#474 of 4,667 worldwide), Artificial Intelligence (#326 of 1,884 worldwide) and Physical Sciences (#2,443 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science — Artificial Intelligence is 9.0× its share of world research.
- World rank, 2022–2025
- #3,609 of 28,054 · #2,416 all time
- Rank in Australia
- #63 of 391
- Research works
- 5.1k ▼ 25% vs 2013–17
- Citations
- 138k 27.2 per fractional work
- Top-10% rate
- 34.3% record average 16.5%
- Open access
- 34% world 28%
What is Data61 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 | #474 of 4,667 | 36.3% | 353 | #228 | |
| Artificial IntelligenceSubfield | #326 of 1,884 | 35.3% | 148 | #209 | |
| Physical SciencesDomain | #2,443 of 12,888 | 34.2% | 534 | #1842 | |
| EngineeringField | #1,933 of 6,636 | 30.4% | 110 | #996 | |
| Social SciencesDomain | #3,630 of 10,521 | 39.0% | 81 | #2247 | |
| Computer Vision and Pattern RecognitionSubfield | #511 of 941 | 27.9% | 63 | #213 |
Each strip is that field’s whole ranked pool, with the notch where Data61 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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#228 #474
- Artificial Intelligence#209 #326
- Physical Sciences#1,842 #2,443
- Engineering#996 #1,933
- Social Sciences#2,247 #3,630
- Computer Vision and Pattern Recognition#213 #511
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Data61 specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 9.0× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 148.3 works9.0×
- Computer Vision and Pattern RecognitionSubfield · 63.4 works7.4×
- Computer ScienceField · 352.5 works6.7×
- Computer Networks and CommunicationsSubfield · 40.0 works6.6×
- Information SystemsSubfield · 56.5 works4.7×
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, 6.7×. Every wedge is a field page.
- Computer Science 6.7×
- Decision Sciences 2.1×
- Environmental Science 1.2×
- Earth and Planetary Sciences 1.2×
- Engineering 1.1×
- Veterinary 1.0×
- Economics, Econometrics and Finance 0.7×
- Physics and Astronomy 0.6×
- Business, Management and Accounting 0.6×
- Neuroscience 0.5×
- Psychology 0.4×
- Social Sciences 0.4×
- Agricultural and Biological Sciences 0.4×
- Mathematics 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Medicine 0.2×
- Chemical Engineering 0.2×
- Health Professions 0.2×
- Energy 0.2×
- Materials Science 0.2×
- Chemistry 0.1×
- Arts and Humanities 0.1×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Nursing 0.1×
- Dentistry 0.1×
Who are the top researchers at Data61?
Ranked on the composite score, Alex Smola, Chuan Ma and Ming Ding lead among researchers whose main affiliation is Data61.
- 1 Alex Smola · #7,168 worldwide 2.3k citations · 54 works
- 2 Chuan Ma · #22,538 worldwide 682 citations · 44 works
- 3 Ming Ding · #24,922 worldwide 1.2k citations · 117 works
- 4 Min Fu · #33,003 worldwide 441 citations · 39 works
- 5 Jose M. Álvarez · #55,849 worldwide 516 citations · 43 works
- 6 Lars Petersson · #84,480 worldwide 417 citations · 88 works
- 7 Qiongkai Xu · #91,660 worldwide 650 citations · 24 works
- 8 Minhui Xue · #125,264 worldwide 397 citations · 52 works
- 9 Roksana Boreli · #126,065 worldwide 237 citations · 32 works
- 10 Anirban Mahanti · #137,922 worldwide 225 citations · 28 works
Which keywords describe research at Data61?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Security, Data Mining, Internet of Things, Healthcare and IoT Security.
- Topic Modeling
- Permission Analysis
- Transfer Learning
- Cybersecurity
- Mobile Edge Computing
- Homomorphic Encryption
- Detection
- Behavioral Analysis
- Robustness
- Representation Learning
- Energy Efficiency
- Blockchain
- Anomaly Detection
- Convolutional Neural Networks
- Differential Privacy
- Supply Chain Management
- IoT Security
- Data Mining
- Security
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Healthcare
- Big Data
- Privacy
- Federated Learning
- Artificial Intelligence
- Surveillance
- Smart Contracts
- Security Analysis
- Adversarial Examples
- Unsupervised Learning
- Semi-Supervised Learning
- Security and Privacy
- Identity-Based Encryption
- Time Series
- 5G Networks
- Android Malware
- High-Dimensional Data
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 Learning161▲ 6.9×73 topics
- Machine Learning126▲ 5.7×68 topics
- Neural Networks72▲ 6.9×31 topics
- Security51▲ 12×17 topics
- Internet of Things37▲ 6.3×16 topics
- Data Mining36▲ 7.2×11 topics
- Healthcare36▲ 4.8×10 topics
- IoT Security28▲ 13×3 topics
- Big Data26▲ 4.2×17 topics
- Supply Chain Management26▲ 4.1×8 topics
- Privacy25▲ 12×6 topics
- Differential Privacy24▲ 50×1 topic
- Federated Learning24▲ 50×1 topic
- Convolutional Neural Networks23▲ 4.5×14 topics
- Artificial Intelligence21▲ 2.3×22 topics
- Anomaly Detection21▲ 10×5 topics
- Surveillance21▲ 11×4 topics
- Blockchain20▲ 12×1 topic
- Smart Contracts20▲ 18×1 topic
- Energy Efficiency18▲ 2.7×13 topics
- Security Analysis17▲ 15×4 topics
- Representation Learning17▲ 18×3 topics
- Adversarial Examples16▲ 48×1 topic
- Robustness16▲ 48×1 topic
- Unsupervised Learning15▲ 16×3 topics
- Behavioral Analysis15▲ 18×2 topics
- Semi-Supervised Learning14▲ 18×3 topics
- Detection13▲ 6.7×6 topics
- Security and Privacy13▲ 10×3 topics
- Homomorphic Encryption13▲ 43×1 topic
- Identity-Based Encryption13▲ 43×1 topic
- Mobile Edge Computing13▲ 12×2 topics
- Time Series13▲ 11×3 topics
- Cybersecurity12▲ 7.4×4 topics
- 5G Networks12▲ 8.6×5 topics
- Transfer Learning12▲ 9.0×3 topics
- Android Malware12▲ 21×1 topic
- Permission Analysis12▲ 21×1 topic
- High-Dimensional Data11▲ 9.9×3 topics
- Topic Modeling11▲ 11×2 topics
Which research topics does Data61 publish most on?
By volume in 2022–2025: Privacy-Preserving Technologies in Data, Blockchain Technology Applications and Security, Adversarial Robustness in Machine Learning and Cryptography and Data Security.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Privacy-Preserving Technologies in DataArtificial Intelligence 24 works
- 2 Blockchain Technology Applications and SecurityInformation Systems 20 works
- 3 Adversarial Robustness in Machine LearningArtificial Intelligence 16 works
- 4 Cryptography and Data SecurityArtificial Intelligence 13 works
- 5 Advanced Malware Detection TechniquesSignal Processing 12 works
- 6 Anomaly Detection Techniques and ApplicationsArtificial Intelligence 10 works
- 7 Advanced Neural Network ApplicationsComputer Vision and Pattern Recognition 9 works
- 8 IoT and Edge/Fog ComputingComputer Networks and Communications 9 works
- 9 Topic ModelingArtificial Intelligence 9 works
- 10 Domain Adaptation and Few-Shot LearningArtificial Intelligence 8 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 Data61's research output changed?
Output in 2018–2022 was 25% 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 Sydney
- The University of Sydney
- UNSW Sydney
- Macquarie University
- University of Technology Sydney
- Royal Prince Alfred Hospital
- Westmead Hospital
- Prince of Wales Hospital
- Children's Hospital at Westmead
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.