Science Explorer Interactive view Map
Research facility · Toronto · Canada

Vector Institute

In research, Vector Institute stands highest in Computer Science (#259 of 4,667 worldwide), Physical Sciences (#1,624 of 12,888 worldwide) and Artificial Intelligence (#802 of 1,884 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 10.2× its share of world research.

vectorinstitute.aiROR OpenAlex
World rank, 2022–2025
#2,175
of 28,054 · #4,677 all time
Rank in Canada
#41
of 403
Research works
547
▲ 1556% vs 2013–17
Citations
21k
37.8 per fractional work
Top-10% rate
36.5%
record average 16.5%
Open access
69%
world 28%

What is Vector Institute 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 #259 of 4,667 33.9%126 #912
Physical SciencesDomain #1,624 of 12,888 36.1%193 #3632
Artificial IntelligenceSubfield #802 of 1,884 30.5%73 #1301

Each strip is that field’s whole ranked pool, with the notch where Vector 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 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.

  1. Computer Science#912 #259
  2. Physical Sciences#3,632 #1,624
  3. Artificial Intelligence#1,301 #802
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Vector Institute specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 10.2× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 72.7 works10×
  2. Computer Vision and Pattern RecognitionSubfield · 30.2 works8.1×
  3. Computer ScienceField · 125.7 works5.5×
← 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: 0.04× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.04× its world share, 16 worksBiochemistry, Geneti…Immunology and Microbiology: 0.31× its world share, 1 worksImmunology and Micro…Neuroscience: 2.15× its world share, 10 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.46× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.88× its world share, 1 worksChemical EngineeringChemistry: 0.87× its world share, 4 worksChemistryComputer Science: 5.47× its world share, 126 worksComputer ScienceEarth and Planetary Sciences: 0.25× its world share, 1 worksEarth and Planetary …Energy: 0.42× its world share, 1 worksEnergyEngineering: 0.74× its world share, 33 worksEngineeringEnvironmental Science: 0.16× its world share, 2 worksEnvironmental ScienceMaterials Science: 1.05× its world share, 11 worksMaterials ScienceMathematics: 1.01× its world share, 4 worksMathematicsPhysics and Astronomy: 1.62× its world share, 11 worksPhysics and AstronomyHealth Professions: 0.76× its world share, 6 worksHealth ProfessionsMedicine: 0.66× its world share, 38 worksMedicineArts and Humanities: 0.25× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.20× its world share, 2 worksBusiness, Management…Decision Sciences: 2.07× its world share, 6 worksDecision SciencesEconomics, Econometrics and Finance: 0.16× its world share, 1 worksEconomics, Econometr…Psychology: 0.85× its world share, 8 worksPsychologySocial Sciences: 0.31× its world share, 12 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.5×. Every wedge is a field page.

Who are the top researchers at Vector Institute?

Ranked on the composite score, Shaina Raza and Chris J. Maddison lead among researchers whose main affiliation is Vector Institute.

  1. 1 Shaina Raza Canada · #887,715 worldwide 68 citations · 38 works
  2. 2 Chris J. Maddison Canada · #1,604,804 worldwide 16 citations · 18 works
All ranked researchers at Vector Institute

Which keywords describe research at Vector Institute?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Neural Networks, Precision Medicine, Medical Imaging, Data Mining, Unsupervised Learning and Text Classification.

▲ 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 Learning59▲ 5.8×57 topics
  2. Machine Learning58▲ 6.0×52 topics
  3. Neural Networks39▲ 8.5×27 topics
  4. Data Mining13▲ 5.7×7 topics
  5. Precision Medicine12▲ 9.0×5 topics
  6. Medical Imaging12▲ 7.9×7 topics
  7. Artificial Intelligence12▲ 2.9×11 topics
  8. Convolutional Neural Networks12▲ 5.5×11 topics
  9. Healthcare11▲ 3.3×11 topics
  10. Unsupervised Learning10▲ 25×3 topics
  11. Big Data10▲ 3.9×12 topics
  12. Text Classification10▲ 22×3 topics
  13. Information Retrieval10▲ 16×3 topics
  14. Topic Modeling10▲ 22×2 topics
  15. Machine Translation10▲ 20×2 topics
  16. Semantic Similarity10▲ 27×1 topic
  17. Word Representation10▲ 27×1 topic
  18. Molecular Dynamics9▲ 19×5 topics
  19. Representation Learning8▲ 21×3 topics
  20. Corpus Linguistics8▲ 13×3 topics
  21. Neural Machine Translation8▲ 28×1 topic
  22. Statistical Machine Translation8▲ 28×1 topic
  23. Computational Chemistry8▲ 36×4 topics
  24. Quantum Mechanics8▲ 32×2 topics
  25. High-Throughput8▲ 50×1 topic
  26. Materials Informatics8▲ 50×1 topic
  27. Security7▲ 3.6×6 topics
  28. Transfer Learning7▲ 12×3 topics
  29. Predictive Modeling6▲ 8.1×2 topics
  30. Semi-Supervised Learning6▲ 20×3 topics
  31. Deep Neural Networks6▲ 19×3 topics
  32. Surveillance6▲ 7.6×4 topics
  33. Convolutional Networks6▲ 14×3 topics
  34. Health Equity6▲ 7.3×4 topics
  35. Meta-Learning6▲ 25×2 topics
  36. Ethical Challenges6▲ 10×2 topics
  37. Clinical Decision Support6▲ 14×1 topic
  38. Radiology6▲ 16×1 topic
  39. Medical Image Analysis5▲ 9.3×4 topics
  40. Image Captioning5▲ 33×1 topic

Which research topics does Vector Institute publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Machine Learning in Materials Science and Artificial Intelligence in Healthcare and Education.

Topic Modeling10Topic Modeling: 10 fractional worksNatural Language Processing Techniques: 8 fractional worksMachine Learning in Mate…8Machine Learning in Materials Science: 8 fractional worksArtificial Intelligence …6Artificial Intelligence in Healthcare and Education: 6 fractional worksMultimodal Machine Learning Applications: 5 fractional worksDomain Adaptation and Few-Shot Learning: 4 fractional worksAdversarial Robustness i…4Adversarial Robustness in Machine Learning: 4 fractional worksExplainable Artificial I…4Explainable Artificial Intelligence (XAI): 4 fractional worksComputational Drug Disco…4Computational Drug Discovery Methods: 4 fractional worksPrivacy-Preserving Techn…4Privacy-Preserving Technologies in Data: 4 fractional works
Artificial IntelligenceMaterials ChemistryHealth InformaticsComputer Vision and Pattern Recognition1 others

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

  1. 1 Topic Modeling Artificial Intelligence 10 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 8 works
  3. 3 Machine Learning in Materials Science Materials Chemistry 8 works
  4. 4 Artificial Intelligence in Healthcare and Education Health Informatics 6 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
  6. 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 works
  7. 7 Adversarial Robustness in Machine Learning Artificial Intelligence 4 works
  8. 8 Explainable Artificial Intelligence (XAI) Artificial Intelligence 4 works
  9. 9 Computational Drug Discovery Methods Computational Theory and Mathematics 4 works
  10. 10 Privacy-Preserving Technologies in Data Artificial Intelligence 4 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 available69.4%not open30.6%

World: 28% of research is openly available.

with international co-authors44.6%domestic only55.4%

World: 19% is written across borders.

How has Vector Institute's research output changed?

Output in 2018–2022 was 1556% 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 Toronto

All research institutions in Toronto

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.