- Research works
- 108 ▼ 15% vs 2018-21
- Citations
- 763 7.1 per fractional work
- Top-10% rate
- 5.3% all institutions 10.0%
- Open access
- 32% world 40%
- International
- 23% world 18%
Not ranked overall: Open Text (Canada) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does Open Text (Canada) work in?
In all years, 74% of research at Open Text (Canada) is in Physical Sciences, 16% in Social Sciences. Its largest fields are Computer Science (56%), Engineering (10%), Biochemistry, Genetics and Molecular Biology (8%). It does 1.8× 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 all years. 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 16 fields, with their numbers
- Physical Sciences7973.5%
- Computer Science6055.8%
- Engineering1110.0%
- Materials Science32.8%
- Chemistry32.4%
- Environmental Science32.4%
- Physics and Astronomy00.2%
- Social Sciences1716.1%
- Life Sciences108.9%
- Health Sciences21.5%
- Medicine11.0%
- Health Professions10.5%
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, 8.2×. Every wedge is a field page.
All 10 fields, with their numbers
- Computer Science8.16×8 works
- Arts and Humanities2.72×1 works
- Economics, Econometrics and Finance1.63×0 works
- Social Sciences0.79×1 works
- Biochemistry, Genetics and Molecular Biology0.74×0 works
- Chemistry0.67×0 works
- Decision Sciences0.54×0 works
- Engineering0.52×1 works
- Environmental Science0.26×0 works
- Physics and Astronomy0.24×0 works
Who are the top researchers at Open Text (Canada)?
Ranked on the quality score, Tim Bray lead among researchers whose main affiliation is Open Text (Canada).
All ranked researchers at Open Text (Canada)Which keywords describe research at Open Text (Canada)?
By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Information Retrieval, Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Data Integration, Semantic Web and Machine Learning.
- Text Simplification
- Visual Analytics
- Molecular Docking
- Security
- Automatic
- Search Engines
- Linked Data
- Description Logics
- Knowledge Representation
- Dyeing
- Deep Learning
- Biomedical Ontologies
- Knowledge Management
- Word Representation
- Text Classification
- Natural Language Processing
- Semantic Web
- Statistical Machine Translation
- Corpus Linguistics
- Information Retrieval
- Neural Networks
- Machine Learning
- Neural Machine Translation
- Data Integration
- Topic Modeling
- Machine Translation
- Semantic Similarity
- Text Mining
- Biomedical Literature
- Biomedical Applications
- Ionic Liquids
- Textiles
- Big Data
- Data Mining
- Ontology
- User Behavior
- Extraction
- Information Visualization
- Virtual Screening
- Readability Assessment
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 Networks16▲ 14×6 topics
- Information Retrieval15▲ 97×4 topics
- Machine Learning13▲ 5.5×18 topics
- Corpus Linguistics13▲ 61×4 topics
- Neural Machine Translation12▲ 139×1 topic
- Statistical Machine Translation12▲ 139×1 topic
- Data Integration12▲ 45×3 topics
- Semantic Web12▲ 75×2 topics
- Topic Modeling11▲ 126×2 topics
- Natural Language Processing10▲ 79×4 topics
- Machine Translation10▲ 84×2 topics
- Text Classification10▲ 101×2 topics
- Semantic Similarity10▲ 137×1 topic
- Word Representation10▲ 137×1 topic
- Text Mining8▲ 89×3 topics
- Knowledge Management8▲ 16×3 topics
- Biomedical Literature7▲ 244×1 topic
- Biomedical Ontologies7▲ 244×1 topic
- Biomedical Applications6▲ 5.5×3 topics
- Deep Learning6▲ 2.7×11 topics
- Ionic Liquids6▲ 17×2 topics
- Dyeing6▲ 226×1 topic
- Textiles6▲ 226×1 topic
- Knowledge Representation5▲ 33×3 topics
- Big Data5▲ 8.1×8 topics
- Description Logics5▲ 44×2 topics
- Data Mining4▲ 9.2×4 topics
- Linked Data4▲ 55×1 topic
- Ontology4▲ 24×1 topic
- Search Engines4▲ 441×1 topic
- User Behavior4▲ 441×1 topic
- Automatic2▲ 74×1 topic
- Extraction2▲ 13×1 topic
- Security2▲ 4.7×4 topics
- Information Visualization2▲ 83×1 topic
- Molecular Docking2▲ 13×1 topic
- Virtual Screening2▲ 26×1 topic
- Visual Analytics2▲ 83×1 topic
- Readability Assessment2▲ 188×1 topic
- Text Simplification2▲ 188×1 topic
Which research topics does Open Text (Canada) publish most on?
By volume in 2022-now: Topic Modeling, Text Readability and Simplification, Natural Language Processing Techniques and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 2 works
- 2 Text Readability and Simplification Artificial Intelligence 1 works
- 3 Natural Language Processing Techniques Artificial Intelligence 1 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 1 works
- 5 Adversarial Robustness in Machine Learning Artificial Intelligence 1 works
- 6 Explainable Artificial Intelligence (XAI) Artificial Intelligence 0 works
- 7 Advanced Malware Detection Techniques Signal Processing 0 works
- 8 Sentiment Analysis and Opinion Mining Artificial Intelligence 0 works
- 9 Biomedical Text Mining and Ontologies Molecular Biology 0 works
- 10 Machine Learning and Data Classification Artificial Intelligence 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: 40% of research is openly available.
World: 18% is written across borders.
How has Open Text (Canada)'s research output changed?
Output in 2022-2025 was 15% lower 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 Open Text (Canada) as a percentage of every work published that year, 0.0000090% in 2024.
Fractional works of Open Text (Canada) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Waterloo
- University of Waterloo
- Wilfrid Laurier University
- Perimeter Institute
- Centre for International Governance Innovation
- Balsillie School of International Affairs
- Regional Municipality of Waterloo
- St. Jerome's University
- Blackberry (Canada)
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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