- 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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.0×. Every wedge is a field page.
- Computer Science 6.0×
- Neuroscience 1.8×
- Social Sciences 1.7×
- Business, Management and Accounting 1.6×
- Economics, Econometrics and Finance 1.5×
- Arts and Humanities 1.2×
- Health Professions 0.8×
- Decision Sciences 0.6×
- Engineering 0.4×
- Psychology 0.4×
- Medicine 0.3×
- Agricultural and Biological Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.1×
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 Staff Writer Canada · #1,318,178 worldwide 1 citations · 34 works
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.
- Reflective Practice
- Journal Writing
- Description Logics
- Entrepreneurship
- Semi-Supervised Learning
- Asset Pricing
- Marketization
- Scientific Impact
- Bibliometric Analysis
- Higher Education
- Risk Management
- Data Integration
- Legal Technology
- Globalization
- Artificial Intelligence
- Neural Machine Translation
- Big Data
- Machine Translation
- Text Classification
- Information Retrieval
- Neural Networks
- Machine Learning
- Deep Learning
- Word Representation
- Corpus Linguistics
- Statistical Machine Translation
- Natural Language Processing
- Finance
- Predictive
- Interdisciplinary Research
- Social Media
- Digital Transformation
- Research Evaluation
- Knowledge Representation
- Student Perceptions
- Semantic Web
- Sentiment Analysis
- Workflow Management
- Business Strategy
- Market Analysis
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
- Neural Networks10▲ 10×11 topics
- Information Retrieval7▲ 51×4 topics
- Machine Learning7▲ 3.3×23 topics
- Text Classification7▲ 75×3 topics
- Deep Learning6▲ 3.0×19 topics
- Machine Translation6▲ 56×1 topic
- Word Representation6▲ 94×1 topic
- Big Data5▲ 10×11 topics
- Corpus Linguistics5▲ 28×3 topics
- Neural Machine Translation5▲ 63×1 topic
- Statistical Machine Translation5▲ 63×1 topic
- Artificial Intelligence4▲ 5.5×11 topics
- Natural Language Processing4▲ 32×3 topics
- Globalization4▲ 1.94×8 topics
- Finance3▲ 24×4 topics
- Legal Technology3▲ 383×1 topic
- Predictive3▲ 383×1 topic
- Data Integration3▲ 12×3 topics
- Interdisciplinary Research3▲ 33×2 topics
- Risk Management3▲ 7.5×5 topics
- Social Media3▲ 3.4×7 topics
- Higher Education2▲ 6.6×2 topics
- Digital Transformation2▲ 8.9×6 topics
- Bibliometric Analysis2▲ 50×2 topics
- Research Evaluation2▲ 99×1 topic
- Scientific Impact2▲ 99×1 topic
- Knowledge Representation2▲ 14×4 topics
- Marketization2▲ 47×2 topics
- Student Perceptions2▲ 15×2 topics
- Asset Pricing2▲ 14×2 topics
- Semantic Web2▲ 13×2 topics
- Semi-Supervised Learning2▲ 33×3 topics
- Sentiment Analysis2▲ 36×2 topics
- Entrepreneurship2▲ 6.2×3 topics
- Workflow Management2▲ 18×2 topics
- Description Logics2▲ 16×2 topics
- Business Strategy2▲ 25×2 topics
- Journal Writing2▲ 70×1 topic
- Market Analysis2▲ 25×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 1 works
- 2 Natural Language Processing Techniques Artificial Intelligence 1 works
- 3 Artificial Intelligence in Law Political Science and International Relations 1 works
- 4 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
- 5 Legal Education and Practice Innovations Law 0 works
- 6 Healthcare Systems and Public Health Epidemiology 0 works
- 7 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
- 8 Taxation and Legal Issues Accounting 0 works
- 9 Blockchain Technology Applications and Security Information Systems 0 works
- 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.
World: 28% of research is openly available.
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.
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
- University of Toronto
- York University
- Hospital for Sick Children
- Toronto Metropolitan University
- University Health Network
- Sunnybrook Health Science Centre
- St. Michael's Hospital
- Princess Margaret Cancer Centre
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.