Research in George Town
Science Explorer records 2 research institutions in George Town, Cayman Islands. The highest-ranked on research quality in 2022-now are University College of the Cayman Islands.
- Research institutions
- 2 1 of them ranked worldwide
- Research works
- 594 ▲ 75% vs 2018-21
- Citations
- 12k 19.5 per fractional work, all time
- Top-10% rate, 2022-now
- 27.6% all institutions 10.0%
- Active span
- 1956-2026 71 years on the record
A city carries no overall standing here. The quality score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.
Which research institutions are in George Town?
| # | Institution | Works | Against the largest here | World rank |
|---|---|---|---|---|
| 1 | University College of the Cayman IslandsUniversity | 168 | #19,970 | |
| 2 | GlobalFoundries (Cayman Islands)Company | 37 | not ranked |
By fractional works over the whole record; world rank on research quality in 2022-now. Bars are scaled to the largest institution in this city, not to anything off the page.
Which fields of science does George Town work in?
In 2022-now, 64% of research in George Town is in Physical Sciences, 23% in Social Sciences. Its largest fields are Computer Science (46%), Social Sciences (13%), Engineering (7%). 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 city does than the world.
Its 4 domains and 25 fields, with their numbers
- Physical Sciences16363.7%
- Computer Science11846.1%
- Engineering187.3%
- Environmental Science166.2%
- Earth and Planetary Sciences52.1%
- Mathematics20.7%
- Materials Science20.6%
- Physics and Astronomy10.5%
- Energy00.2%
- Chemical Engineering00.1%
- Chemistry00.0%
- Social Sciences6023.4%
- Social Sciences3312.8%
- Psychology114.1%
- Business, Management and Accounting62.5%
- Economics, Econometrics and Finance41.5%
- Decision Sciences31.4%
- Arts and Humanities31.1%
- Health Sciences197.6%
- Medicine187.1%
- Health Professions10.4%
- Nursing00.1%
- Veterinary00.0%
- Life Sciences145.3%
What is George Town strongest at in research?
Relative to its size, research in George Town is most concentrated in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science (13.0× the world share in Computer Vision and Pattern Recognition).
- Computer Vision and Pattern RecognitionSubfield · 36.8 works13×
- Artificial IntelligenceSubfield · 52.6 works9.7×
- Computer ScienceField · 107.0 works6.1×
Location quotient against the world baseline. Inside a single field a city is a meaningful unit, which is why this is where a city is measured at all.
The whole field profile
All 26 fields at once: above the ring is more than a place this size would be expected to do. A specialist and a generalist produce the same ranked list and a completely different shape.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.1×. Every wedge is a field page.
All 24 fields, with their numbers
- Computer Science6.11×107 works
- Decision Sciences1.42×3 works
- Earth and Planetary Sciences1.41×5 works
- Psychology1.38×9 works
- Environmental Science1.36×15 works
- Social Sciences1.02×29 works
- Business, Management and Accounting0.81×6 works
- Economics, Econometrics and Finance0.74×4 works
- Biochemistry, Genetics and Molecular Biology0.62×7 works
- Engineering0.46×16 works
- Pharmacology, Toxicology and Pharmaceutics0.42×0 works
- Mathematics0.36×1 works
- Medicine0.34×15 works
- Neuroscience0.30×1 works
- Energy0.23×0 works
- Arts and Humanities0.20×1 works
- Materials Science0.18×1 works
- Health Professions0.18×1 works
- Nursing0.15×0 works
- Agricultural and Biological Sciences0.14×2 works
- Veterinary0.14×0 works
- Immunology and Microbiology0.13×0 works
- Physics and Astronomy0.12×1 works
- Chemistry0.03×0 works
Which keywords describe research in George Town?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Information Retrieval, Text Classification, Machine Translation, Topic Modeling and Semantic Similarity.
- Spatiotemporal Features
- Action Recognition
- Dancehall
- Coral Reefs
- Population Dynamics
- Image Classification
- Deep Neural Networks
- Caribbean
- Semi-Supervised Learning
- Identity
- Image Captioning
- Convolutional Networks
- Globalization
- Statistical Machine Translation
- Corpus Linguistics
- Semantic Similarity
- Machine Translation
- Text Classification
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Information Retrieval
- Climate Change
- Topic Modeling
- Word Representation
- Neural Machine Translation
- Unsupervised Learning
- Representation Learning
- Ocean Acidification
- Visual Question Answering
- Marine Ecosystems
- Pose Estimation
- Generative Adversarial Networks
- Meta-Learning
- Postcolonialism
- Bleaching
- Transfer Learning
- Image Recognition
- Object Detection
Size is fractional works in 2022-now in the topics tagged with each word; colour is the word's share of this city'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 Learning54▲ 6.1×52 topics
- Neural Networks38▲ 9.7×24 topics
- Machine Learning17▲ 2.0×39 topics
- Convolutional Neural Networks16▲ 8.5×11 topics
- Information Retrieval15▲ 26×3 topics
- Text Classification15▲ 35×3 topics
- Climate Change13▲ 1.83×26 topics
- Machine Translation13▲ 30×2 topics
- Topic Modeling13▲ 32×2 topics
- Semantic Similarity12▲ 40×1 topic
- Word Representation12▲ 40×1 topic
- Corpus Linguistics12▲ 22×2 topics
- Neural Machine Translation12▲ 51×1 topic
- Statistical Machine Translation12▲ 51×1 topic
- Unsupervised Learning10▲ 26×3 topics
- Globalization9▲ 1.87×12 topics
- Representation Learning9▲ 21×3 topics
- Convolutional Networks8▲ 24×3 topics
- Ocean Acidification7▲ 37×3 topics
- Image Captioning7▲ 49×1 topic
- Visual Question Answering7▲ 30×1 topic
- Identity6▲ 3.4×6 topics
- Marine Ecosystems6▲ 42×2 topics
- Semi-Supervised Learning6▲ 19×3 topics
- Pose Estimation5▲ 17×2 topics
- Caribbean5▲ 105×2 topics
- Generative Adversarial Networks5▲ 22×2 topics
- Deep Neural Networks5▲ 15×3 topics
- Meta-Learning5▲ 21×2 topics
- Image Classification4▲ 9.2×2 topics
- Postcolonialism4▲ 12×2 topics
- Population Dynamics4▲ 6.5×7 topics
- Bleaching4▲ 51×1 topic
- Coral Reefs4▲ 51×1 topic
- Transfer Learning4▲ 8.5×3 topics
- Dancehall4▲ 220×1 topic
- Image Recognition4▲ 10×2 topics
- Action Recognition4▲ 30×1 topic
- Object Detection4▲ 11×1 topic
- Spatiotemporal Features4▲ 30×1 topic
What research is done in George Town?
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 12 works
- 2 Natural Language Processing Techniques Artificial Intelligence 12 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
- 4 Coral and Marine Ecosystems Studies Ecology 4 works
- 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 4 works
- 7 Caribbean history, culture, and politics Cultural Studies 4 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
- 9 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 10 Speech Recognition and Synthesis Artificial Intelligence 3 works
Research output over time
The same series as a ribbon: one cell per year, darker for more.
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 46.3% in 2021.
Discussion
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