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Company · Toronto · Canada

Thomson Reuters (Canada)

Research works
98
▲ 65% vs 2013–17
Citations
1.3k
13.6 per fractional work
Top-10% rate
39.4%
record average 16.5%
Open access
48%
world 28%

Not ranked overall: Thomson Reuters (Canada) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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: 0.19× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 1.77× its world share, 0 worksNeuroscienceComputer Science: 6.01× its world share, 7 worksComputer ScienceEngineering: 0.43× its world share, 1 worksEngineeringHealth Professions: 0.75× its world share, 0 worksHealth ProfessionsMedicine: 0.32× its world share, 1 worksMedicineArts and Humanities: 1.19× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 1.60× its world share, 1 worksBusiness, Management…Decision Sciences: 0.59× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 1.52× its world share, 0 worksEconomics, Econometr…Psychology: 0.38× its world share, 0 worksPsychologySocial Sciences: 1.66× its world share, 3 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.0×. Every wedge is a field page.

Who are the top researchers at Thomson Reuters (Canada)?

Ranked on the composite score, Staff Writer lead among researchers whose main affiliation is Thomson Reuters (Canada).

  1. 1 Staff Writer Canada · #1,318,178 worldwide 1 citations · 34 works
All ranked researchers at Thomson Reuters (Canada)

Which keywords describe research at Thomson Reuters (Canada)?

By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Information Retrieval, Text Classification, Machine Translation, Word Representation, Big Data, Corpus Linguistics and Neural Machine Translation.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years 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. Neural Networks10▲ 10×11 topics
  2. Information Retrieval7▲ 51×4 topics
  3. Machine Learning7▲ 3.3×23 topics
  4. Text Classification7▲ 75×3 topics
  5. Deep Learning6▲ 3.0×19 topics
  6. Machine Translation6▲ 56×1 topic
  7. Word Representation6▲ 94×1 topic
  8. Big Data5▲ 10×11 topics
  9. Corpus Linguistics5▲ 28×3 topics
  10. Neural Machine Translation5▲ 63×1 topic
  11. Statistical Machine Translation5▲ 63×1 topic
  12. Artificial Intelligence4▲ 5.5×11 topics
  13. Natural Language Processing4▲ 32×3 topics
  14. Globalization4▲ 1.94×8 topics
  15. Finance3▲ 24×4 topics
  16. Legal Technology3▲ 383×1 topic
  17. Predictive3▲ 383×1 topic
  18. Data Integration3▲ 12×3 topics
  19. Interdisciplinary Research3▲ 33×2 topics
  20. Risk Management3▲ 7.5×5 topics
  21. Social Media3▲ 3.4×7 topics
  22. Higher Education2▲ 6.6×2 topics
  23. Digital Transformation2▲ 8.9×6 topics
  24. Bibliometric Analysis2▲ 50×2 topics
  25. Research Evaluation2▲ 99×1 topic
  26. Scientific Impact2▲ 99×1 topic
  27. Knowledge Representation2▲ 14×4 topics
  28. Marketization2▲ 47×2 topics
  29. Student Perceptions2▲ 15×2 topics
  30. Asset Pricing2▲ 14×2 topics
  31. Semantic Web2▲ 13×2 topics
  32. Semi-Supervised Learning2▲ 33×3 topics
  33. Sentiment Analysis2▲ 36×2 topics
  34. Entrepreneurship2▲ 6.2×3 topics
  35. Workflow Management2▲ 18×2 topics
  36. Description Logics2▲ 16×2 topics
  37. Business Strategy2▲ 25×2 topics
  38. Journal Writing2▲ 70×1 topic
  39. Market Analysis2▲ 25×2 topics
  40. Reflective Practice2▲ 8.6×1 topic

Which research topics does Thomson Reuters (Canada) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Artificial Intelligence in Law and Handwritten Text Recognition Techniques.

  1. 1 Topic Modeling Artificial Intelligence 1 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 1 works
  3. 3 Artificial Intelligence in Law Political Science and International Relations 1 works
  4. 4 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
  5. 5 Legal Education and Practice Innovations Law 0 works
  6. 6 Healthcare Systems and Public Health Epidemiology 0 works
  7. 7 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
  8. 8 Taxation and Legal Issues Accounting 0 works
  9. 9 Blockchain Technology Applications and Security Information Systems 0 works
  10. 10 Infrastructure Maintenance and Monitoring Civil and Structural Engineering 0 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 available48.5%not open51.5%

World: 28% of research is openly available.

with international co-authors39.1%domestic only60.9%

World: 19% is written across borders.

How has Thomson Reuters (Canada)'s research output changed?

Output in 2018–2022 was 65% 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.