Mila - Quebec Artificial Intelligence Institute
In research, Mila - Quebec Artificial Intelligence Institute stands highest in Computer Science (#622 of 4,417 worldwide) and Physical Sciences (#1,589 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Cognitive Neuroscience, Artificial Intelligence and Neuroscience (Cognitive Neuroscience is 11.6× its share of world research).
- World rank, 2022-now
- #2,069 of 22,385 · #2,736 all time
- Rank in Canada
- #55 of 305
- Research works
- 338 ▲ 232% vs 2018-21
- Citations
- 7.9k 23.5 per fractional work
- Top-10% rate
- 20.0% all institutions 10.0%
- vs its own fields
- 1.32× 1.00× is exactly expected
- Open access
- 74% world 40%
- International
- 53% world 18%
What is Mila - Quebec Artificial Intelligence Institute 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #622 of 4,417 | 18.5% | 84 | #984 | |
| Physical SciencesDomain | #1,589 of 10,670 | 19.0% | 123 | #2320 |
Each strip is that field's whole ranked pool, with the notch where Mila - Quebec Artificial Intelligence Institute 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 Mila - Quebec Artificial Intelligence Institute work in?
In 2022-now, 55% of research at Mila - Quebec Artificial Intelligence Institute is in Physical Sciences, 20% in Life Sciences. Its largest fields are Computer Science (37%), Neuroscience (11%), Medicine (11%). It does 1.5× the world's share of Life 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 25 fields, with their numbers
- Physical Sciences14854.7%
- Computer Science10036.9%
- Engineering228.2%
- Physics and Astronomy114.2%
- Environmental Science62.3%
- Materials Science31.2%
- Mathematics20.8%
- Earth and Planetary Sciences20.7%
- Chemistry10.2%
- Energy00.1%
- Chemical Engineering00.1%
- Life Sciences5420.1%
- Social Sciences3513.1%
- Health Sciences3312.0%
- Medicine2910.8%
- Health Professions31.1%
- Veterinary00.1%
- Dentistry00.1%
What does Mila - Quebec Artificial Intelligence Institute specialise in?
Where its research is concentrated relative to its size: Cognitive Neuroscience takes 11.6× the share of its output that it takes of world research.
- Cognitive NeuroscienceSubfield · 22.9 works12×
- Artificial IntelligenceSubfield · 61.4 works9.4×
- NeuroscienceField · 29.5 works6.7×
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: Neuroscience, 6.7×. Every wedge is a field page.
All 25 fields, with their numbers
- Neuroscience6.71×30 works
- Computer Science4.75×100 works
- Decision Sciences2.07×5 works
- Physics and Astronomy1.90×11 works
- Biochemistry, Genetics and Molecular Biology1.52×22 works
- Psychology1.14×9 works
- Mathematics0.68×2 works
- Veterinary0.60×0 works
- Medicine0.56×29 works
- Engineering0.55×22 works
- Social Sciences0.47×16 works
- Environmental Science0.46×6 works
- Earth and Planetary Sciences0.43×2 works
- Health Professions0.41×3 works
- Immunology and Microbiology0.33×1 works
- Pharmacology, Toxicology and Pharmaceutics0.33×0 works
- Materials Science0.33×3 works
- Economics, Econometrics and Finance0.30×2 works
- Business, Management and Accounting0.25×2 works
- Chemical Engineering0.18×0 works
- Chemistry0.16×1 works
- Dentistry0.16×0 works
- Agricultural and Biological Sciences0.14×2 works
- Energy0.12×0 works
- Arts and Humanities0.07×0 works
- Neuroscience 6.7×
- Computer Science 4.8×
- Decision Sciences 2.1×
- Physics and Astronomy 1.9×
- Biochemistry, Genetics and Molecular Biology 1.5×
- Psychology 1.1×
- Mathematics 0.7×
- Veterinary 0.6×
- Medicine 0.6×
- Engineering 0.6×
- Social Sciences 0.5×
- Environmental Science 0.5×
- Earth and Planetary Sciences 0.4×
- Health Professions 0.4×
- Immunology and Microbiology 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Materials Science 0.3×
- Economics, Econometrics and Finance 0.3×
- Business, Management and Accounting 0.2×
- Chemical Engineering 0.2×
- Chemistry 0.2×
- Dentistry 0.2×
- Agricultural and Biological Sciences 0.1×
- Energy 0.1×
- Arts and Humanities 0.1×
Who are the top researchers at Mila - Quebec Artificial Intelligence Institute?
Ranked on the quality score, Bonaventure F. P. Dossou, Cem Subakan and Prakhar Ganesh lead among researchers whose main affiliation is Mila - Quebec Artificial Intelligence Institute.
- 1
Bonaventure F. P. Dossou
Canada · #672,073 worldwide 812 citations · 56 works
- 2
Cem Subakan
Canada · #946,501 worldwide 1.5k citations · 97 works
- 3
Prakhar Ganesh
Canada · #997,671 worldwide 246 citations · 36 works
- 4
Aishwarya Agrawal
Canada · #1,101,361 worldwide 6.9k citations · 64 works
- 5
Mirco Ravanelli
Canada · #1,548,452 worldwide 1.3k citations · 40 works
- 6
Gabriel Tseng
Canada · #1,837,102 worldwide 210 citations · 61 works
- 7
Shravan Nayak
Canada · #2,031,854 worldwide 60 citations · 31 works
- 8
Colin Bredenberg
Canada · #2,271,983 worldwide 790 citations · 23 works
- 9
Mélisande Teng
Canada · #2,301,764 worldwide 14 citations · 18 works
- 10
Md Rifat Arefin
Canada · #2,475,190 worldwide 137 citations · 15 works
Which keywords describe research at Mila - Quebec Artificial Intelligence Institute?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Big Data, Artificial Intelligence, Information Retrieval, Topic Modeling and Text Classification.
- Radiology
- Reinforcement Learning
- Gamma Rhythms
- Synchronization
- Meta-Learning
- Transfer Learning
- Default Mode Network
- Algorithmic Bias
- Neural Machine Translation
- Unsupervised Learning
- Feature Extraction
- Medical Imaging
- Semi-Supervised Learning
- Precision Medicine
- Word Representation
- Machine Translation
- Text Classification
- Information Retrieval
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Neural Networks
- Big Data
- Topic Modeling
- Convolutional Neural Networks
- Surveillance
- Healthcare
- Representation Learning
- Neurological Disorders
- Deep Neural Networks
- Functional Connectivity
- Corpus Linguistics
- Statistical Machine Translation
- Fairness
- Resting-State fMRI
- Time Series
- Neuronal Oscillations
- Cortical Networks
- Health Equity
- Clinical Decision Support
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 Learning54▲ 5.8×60 topics
- Machine Learning48▲ 5.3×62 topics
- Neural Networks35▲ 8.4×27 topics
- Artificial Intelligence16▲ 4.2×20 topics
- Big Data15▲ 5.7×16 topics
- Information Retrieval11▲ 18×4 topics
- Topic Modeling11▲ 26×2 topics
- Text Classification10▲ 24×3 topics
- Convolutional Neural Networks10▲ 5.0×11 topics
- Machine Translation10▲ 22×1 topic
- Surveillance10▲ 13×5 topics
- Word Representation10▲ 29×1 topic
- Healthcare8▲ 2.8×6 topics
- Precision Medicine8▲ 6.3×4 topics
- Representation Learning8▲ 19×3 topics
- Semi-Supervised Learning8▲ 24×3 topics
- Neurological Disorders8▲ 5.0×8 topics
- Medical Imaging7▲ 5.0×6 topics
- Deep Neural Networks7▲ 20×3 topics
- Feature Extraction6▲ 5.2×9 topics
- Functional Connectivity6▲ 17×3 topics
- Unsupervised Learning6▲ 15×3 topics
- Corpus Linguistics6▲ 10×2 topics
- Neural Machine Translation6▲ 23×1 topic
- Statistical Machine Translation6▲ 23×1 topic
- Algorithmic Bias6▲ 24×1 topic
- Fairness6▲ 20×1 topic
- Default Mode Network5▲ 27×1 topic
- Resting-State fMRI5▲ 27×1 topic
- Transfer Learning5▲ 10×3 topics
- Time Series5▲ 11×3 topics
- Meta-Learning5▲ 22×2 topics
- Neuronal Oscillations5▲ 26×2 topics
- Synchronization5▲ 16×2 topics
- Cortical Networks5▲ 34×1 topic
- Gamma Rhythms5▲ 34×1 topic
- Health Equity5▲ 6.2×3 topics
- Reinforcement Learning4▲ 14×3 topics
- Clinical Decision Support4▲ 10×1 topic
- Radiology4▲ 11×1 topic
Which research topics does Mila - Quebec Artificial Intelligence Institute publish most on?
By volume in 2022-now: Topic Modeling, Natural Language Processing Techniques, Ethics and Social Impacts of AI and Functional Brain Connectivity Studies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 10 works
- 2 Natural Language Processing Techniques Artificial Intelligence 6 works
- 3 Ethics and Social Impacts of AI Safety Research 6 works
- 4 Functional Brain Connectivity Studies Cognitive Neuroscience 5 works
- 5 Neural dynamics and brain function Cognitive Neuroscience 5 works
- 6 Artificial Intelligence in Healthcare and Education Health Informatics 4 works
- 7 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 works
- 9 EEG and Brain-Computer Interfaces Cognitive Neuroscience 4 works
- 10 Explainable Artificial Intelligence (XAI) Artificial Intelligence 3 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 Mila - Quebec Artificial Intelligence Institute's research output changed?
Output in 2022-2025 was 232% 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 Mila - Quebec Artificial Intelligence Institute as a percentage of every work published that year, 0.0011% in 2024.
Fractional works of Mila - Quebec Artificial Intelligence Institute 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 25.2% in 2021.
Other research institutions in Montreal
- McGill University
- Université de Montréal
- Concordia University
- Université du Québec à Montréal
- Polytechnique Montréal
- CAE (Canada)
- HEC Montréal
- Hydro-Québec
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Questions people ask
What does Mila, the Quebec AI institute research?
In research, Mila - Quebec Artificial Intelligence Institute stands highest in Computer Science (#622 of 4,417 worldwide) and Physical Sciences (#1,589 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Cognitive Neuroscience, Artificial Intelligence and Neuroscience (Cognitive Neuroscience is 11.6× its share of world research).
Discussion
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