Research in George Town
Science Explorer records 5 research institutions in George Town, Cayman Islands. The highest-ranked on research quality in 2022–2025 are Alibaba Group (Cayman Islands) and University College of the Cayman Islands.
- Research institutions
- 5 2 of them ranked worldwide
- Research works
- 594 ▲ 293% vs 2013–17
- Top-10% rate, 2022–2025
- 27.6% record average 16.5%
A city carries no overall standing here. The composite 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 | Alibaba Group (Cayman Islands)Company | 235 | #11,873 | |
| 2 | University College of the Cayman IslandsUniversity | 168 | #26,258 | |
| 3 | Truman Bodden Law SchoolUniversity | 154 | #41,242 all time | |
| 4 | GlobalFoundries (Cayman Islands)Company | 37 | not ranked | |
| 5 | Foxconn (Cayman Islands)Company | 1 | not ranked |
By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.
How concentrated the city is
The same institutions as shares of everything the list accounts for. A city that is one university and a city that is twelve read alike as a table and not at all alike here.
Shares of the rows listed above, not of the whole node.
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.
Which keywords describe research in George Town?
By fractional works in 2022–2025, 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 Corpus Linguistics.
- Local Descriptors
- Dancehall
- Spatiotemporal Features
- Meta-Learning
- Coral Reefs
- Image Classification
- Population Dynamics
- Deep Neural Networks
- Semi-Supervised Learning
- Identity
- Image Captioning
- Representation Learning
- Unsupervised Learning
- Statistical Machine Translation
- Word Representation
- Semantic Similarity
- Machine Translation
- Text Classification
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Information Retrieval
- Climate Change
- Corpus Linguistics
- Topic Modeling
- Neural Machine Translation
- Globalization
- Convolutional Networks
- Ocean Acidification
- Visual Question Answering
- Marine Ecosystems
- Pose Estimation
- Caribbean
- Generative Adversarial Networks
- Bleaching
- Postcolonialism
- Action Recognition
- Transfer Learning
- Feature Matching
Size is fractional works in 2022–2025 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 Learning49▲ 6.3×49 topics
- Neural Networks35▲ 10×23 topics
- Machine Learning15▲ 2.1×34 topics
- Convolutional Neural Networks15▲ 9.0×10 topics
- Information Retrieval14▲ 28×3 topics
- Text Classification14▲ 39×3 topics
- Climate Change12▲ 2.0×26 topics
- Machine Translation12▲ 32×2 topics
- Corpus Linguistics12▲ 24×2 topics
- Semantic Similarity12▲ 43×1 topic
- Topic Modeling12▲ 36×2 topics
- Word Representation12▲ 43×1 topic
- Neural Machine Translation12▲ 54×1 topic
- Statistical Machine Translation12▲ 54×1 topic
- Globalization9▲ 1.99×12 topics
- Unsupervised Learning9▲ 27×3 topics
- Convolutional Networks8▲ 26×3 topics
- Representation Learning7▲ 23×3 topics
- Ocean Acidification7▲ 40×3 topics
- Image Captioning6▲ 59×1 topic
- Visual Question Answering6▲ 36×1 topic
- Identity6▲ 3.5×5 topics
- Marine Ecosystems6▲ 48×2 topics
- Semi-Supervised Learning5▲ 21×3 topics
- Pose Estimation5▲ 19×2 topics
- Deep Neural Networks4▲ 18×3 topics
- Caribbean4▲ 120×2 topics
- Population Dynamics4▲ 7.5×7 topics
- Generative Adversarial Networks4▲ 23×2 topics
- Image Classification4▲ 11×2 topics
- Bleaching4▲ 54×1 topic
- Coral Reefs4▲ 54×1 topic
- Postcolonialism4▲ 14×2 topics
- Meta-Learning4▲ 21×2 topics
- Action Recognition4▲ 34×1 topic
- Spatiotemporal Features4▲ 34×1 topic
- Transfer Learning4▲ 8.7×3 topics
- Dancehall4▲ 241×1 topic
- Feature Matching4▲ 27×1 topic
- Local Descriptors4▲ 27×1 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.