Artificial Intelligence in Medicine (Canada)
In research, Artificial Intelligence in Medicine (Canada) stands highest in Computer Science (#383 of 4,417 worldwide), Physical Sciences (#1,034 of 10,670 worldwide) and Health Sciences (#1,151 of 9,902 worldwide), 2022-now. Relative to its size it is most specialised in Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition (Health Informatics is 12.0× its share of world research).
- World rank, 2022-now
- #1,003 of 22,385 · #1,507 all time
- Rank in Canada
- #29 of 305
- Research works
- 3.1k ▲ 787% vs 2018-21
- Citations
- 40k 13.1 per fractional work
- Top-10% rate
- 8.6% all institutions 10.0%
- vs its own fields
- 1.12× 1.00× is exactly expected
- Open access
- 52% world 40%
- International
- 60% world 18%
What is Artificial Intelligence in Medicine (Canada) 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 | #383 of 4,417 | 7.8% | 589 | #621 | |
| Physical SciencesDomain | #1,034 of 10,670 | 8.1% | 956 | #1554 | |
| Health SciencesDomain | #1,151 of 9,902 | 14.5% | 265 | #1800 | |
| MedicineField | #1,244 of 8,541 | 15.0% | 219 | #1817 | |
| Life SciencesDomain | #1,113 of 6,403 | 8.1% | 152 | #1640 | |
| Artificial IntelligenceSubfield | #334 of 1,862 | 7.9% | 254 | #471 | |
| EngineeringField | #1,118 of 5,901 | 9.4% | 260 | #1329 | |
| Social SciencesDomain | #2,749 of 9,585 | 10.9% | 225 | #3459 | |
| Computer Vision and Pattern RecognitionSubfield | #360 of 963 | 10.1% | 128 | #453 | |
| Information SystemsSubfield | #622 of 1,321 | 3.4% | 79 | #1251 |
Each strip is that field's whole ranked pool, with the notch where Artificial Intelligence in Medicine (Canada) 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 of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#621 #383
- Physical Sciences#1,554 #1,034
- Health Sciences#1,800 #1,151
- Medicine#1,817 #1,244
- Life Sciences#1,640 #1,113
- Artificial Intelligence#471 #334
- Engineering#1,329 #1,118
- Social Sciences#3,459 #2,749
- Computer Vision and Pattern Recognition#453 #360
- Information Systems#1,251 #622
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Artificial Intelligence in Medicine (Canada) work in?
In 2022-now, 60% of research at Artificial Intelligence in Medicine (Canada) is in Physical Sciences, 16% in Health Sciences. Its largest fields are Computer Science (38%), Engineering (15%), Medicine (13%). It does 1.6× 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 26 fields, with their numbers
- Physical Sciences1,46660.5%
- Computer Science92538.1%
- Engineering36815.2%
- Environmental Science622.6%
- Physics and Astronomy301.2%
- Materials Science251.0%
- Mathematics190.8%
- Earth and Planetary Sciences160.6%
- Chemistry130.5%
- Energy60.3%
- Chemical Engineering20.1%
- Health Sciences39116.1%
- Medicine32613.4%
- Health Professions562.3%
- Dentistry70.3%
- Nursing10.1%
- Veterinary10.1%
- Social Sciences34214.1%
- Social Sciences1194.9%
- Psychology793.2%
- Business, Management and Accounting602.5%
- Decision Sciences492.0%
- Arts and Humanities180.7%
- Economics, Econometrics and Finance170.7%
- Life Sciences2269.3%
What does Artificial Intelligence in Medicine (Canada) specialise in?
Where its research is concentrated relative to its size: Health Informatics takes 12.0× the share of its output that it takes of world research.
- Health InformaticsSubfield · 35.0 works12×
- Artificial IntelligenceSubfield · 402.1 works6.9×
- Computer Vision and Pattern RecognitionSubfield · 205.9 works6.7×
- Health Information ManagementSubfield · 35.0 works5.6×
- Computer ScienceField · 925.1 works4.9×
- Human-Computer InteractionSubfield · 23.8 works4.8×
- Signal ProcessingSubfield · 33.0 works4.5×
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 26 fields, with their numbers
- Computer Science4.90×925 works
- Neuroscience2.15×84 works
- Decision Sciences2.08×49 works
- Psychology1.07×79 works
- Engineering1.01×368 works
- Health Professions0.87×56 works
- Business, Management and Accounting0.77×60 works
- Medicine0.70×326 works
- Mathematics0.67×19 works
- Biochemistry, Genetics and Molecular Biology0.63×81 works
- Dentistry0.60×7 works
- Physics and Astronomy0.55×30 works
- Environmental Science0.52×62 works
- Agricultural and Biological Sciences0.44×50 works
- Earth and Planetary Sciences0.41×16 works
- Veterinary0.39×1 works
- Social Sciences0.39×119 works
- Pharmacology, Toxicology and Pharmaceutics0.38×3 works
- Chemistry0.35×13 works
- Economics, Econometrics and Finance0.33×17 works
- Immunology and Microbiology0.30×7 works
- Energy0.29×6 works
- Materials Science0.29×25 works
- Arts and Humanities0.26×18 works
- Chemical Engineering0.22×2 works
- Nursing0.11×1 works
- Computer Science 4.9×
- Neuroscience 2.1×
- Decision Sciences 2.1×
- Psychology 1.1×
- Engineering 1.0×
- Health Professions 0.9×
- Business, Management and Accounting 0.8×
- Medicine 0.7×
- Mathematics 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Dentistry 0.6×
- Physics and Astronomy 0.6×
- Environmental Science 0.5×
- Agricultural and Biological Sciences 0.4×
- Earth and Planetary Sciences 0.4×
- Veterinary 0.4×
- Social Sciences 0.4×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Chemistry 0.3×
- Economics, Econometrics and Finance 0.3×
- Immunology and Microbiology 0.3×
- Energy 0.3×
- Materials Science 0.3×
- Arts and Humanities 0.3×
- Chemical Engineering 0.2×
- Nursing 0.1×
Who are the top researchers at Artificial Intelligence in Medicine (Canada)?
Ranked on the quality score, Kseniia Petukhova, Miquel Noguer I Alonso and Kundai Farai Sachikonye lead among researchers whose main affiliation is Artificial Intelligence in Medicine (Canada).
- 1
Kseniia Petukhova
Canada · #1,980,510 worldwide 43 citations · 25 works
- 2
Miquel Noguer I Alonso
Canada · #2,079,751 worldwide 84 citations · 127 works
- 3
Kundai Farai Sachikonye
Canada · #2,362,316 worldwide 1 citations · 46 works
- 4
Salem Lahlou
Canada · #3,124,692 worldwide 211 citations · 30 works
- 5
いずみ 諏訪
Canada · #4,334,651 worldwide 0 citations · 23 works
Which keywords describe research at Artificial Intelligence in Medicine (Canada)?
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, Artificial Intelligence, Big Data, Healthcare and Medical Imaging.
- Unsupervised Learning
- Deep Neural Networks
- Semantic Similarity
- Machine Translation
- Anomaly Detection
- Support Vector Machines
- Topic Modeling
- IoT Security
- Feature Selection
- Cybersecurity
- Computer Vision
- Wireless Sensor Networks
- IoT
- Classification
- Feature Extraction
- Internet of Things
- Medical Imaging
- Healthcare
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Big Data
- Data Mining
- Security
- Precision Medicine
- Image Processing
- Transfer Learning
- Predictive Modeling
- Information Retrieval
- Text Classification
- Big Data Analytics
- Medical Image Analysis
- Cloud Computing
- Smart Cities
- Representation Learning
- Surveillance
- Word Representation
- Image Classification
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 Learning586▲ 7.0×81 topics
- Machine Learning496▲ 6.1×93 topics
- Neural Networks226▲ 6.0×39 topics
- Artificial Intelligence168▲ 4.9×45 topics
- Convolutional Neural Networks150▲ 8.5×14 topics
- Healthcare142▲ 5.1×24 topics
- Big Data138▲ 5.9×29 topics
- Medical Imaging110▲ 8.6×9 topics
- Data Mining91▲ 5.1×18 topics
- Internet of Things90▲ 4.3×23 topics
- Security90▲ 5.5×21 topics
- Feature Extraction86▲ 7.8×10 topics
- Precision Medicine84▲ 7.0×8 topics
- Classification69▲ 6.2×12 topics
- Image Processing58▲ 5.5×12 topics
- IoT57▲ 6.2×19 topics
- Transfer Learning56▲ 12×3 topics
- Wireless Sensor Networks55▲ 5.1×21 topics
- Predictive Modeling52▲ 7.7×7 topics
- Computer Vision50▲ 7.5×5 topics
- Information Retrieval49▲ 9.3×6 topics
- Cybersecurity48▲ 7.9×6 topics
- Text Classification46▲ 12×3 topics
- Feature Selection46▲ 8.9×6 topics
- Big Data Analytics46▲ 8.9×4 topics
- IoT Security46▲ 6.1×3 topics
- Medical Image Analysis45▲ 10×4 topics
- Topic Modeling45▲ 12×3 topics
- Cloud Computing44▲ 6.3×11 topics
- Support Vector Machines44▲ 5.7×8 topics
- Smart Cities42▲ 6.6×8 topics
- Anomaly Detection42▲ 6.1×5 topics
- Representation Learning41▲ 11×3 topics
- Machine Translation40▲ 10.0×2 topics
- Surveillance40▲ 5.9×5 topics
- Semantic Similarity39▲ 13×1 topic
- Word Representation39▲ 13×1 topic
- Deep Neural Networks39▲ 13×3 topics
- Image Classification38▲ 8.4×3 topics
- Unsupervised Learning36▲ 9.7×3 topics
Which research topics does Artificial Intelligence in Medicine (Canada) publish most on?
By volume in 2022-now: Topic Modeling, Artificial Intelligence in Healthcare and Education, Advanced Neural Network Applications and Artificial Intelligence in Healthcare.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 39 works
- 2 Artificial Intelligence in Healthcare and Education Health Informatics 35 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 35 works
- 4 Artificial Intelligence in Healthcare Health Information Management 29 works
- 5 AI in cancer detection Artificial Intelligence 24 works
- 6 Natural Language Processing Techniques Artificial Intelligence 24 works
- 7 Brain Tumor Detection and Classification Neurology 24 works
- 8 Ethics and Social Impacts of AI Safety Research 23 works
- 9 Machine Learning in Healthcare Artificial Intelligence 23 works
- 10 Smart Agriculture and AI Plant Science 23 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 Artificial Intelligence in Medicine (Canada)'s research output changed?
Output in 2022-2025 was 787% 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 Artificial Intelligence in Medicine (Canada) as a percentage of every work published that year, 0.0053% in 2024.
Fractional works of Artificial Intelligence in Medicine (Canada) 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 14.7% in 2009.
Other research institutions in Toronto
- University of Toronto
- York University
- Toronto Metropolitan University
- Princess Margaret Cancer Centre
- Toronto General Hospital
- SickKids Foundation
- Toronto Western Hospital
- Toronto Public Health
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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