Clairvoyant Technology (United States)
- Research works
- 24 fractional, all time
- Citations
- 1.1k 46.9 per fractional work
- Top-10% rate
- 100.0% record average 16.5%
- Open access
- 15% world 28%
Not ranked overall: Clairvoyant Technology (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
What does Clairvoyant Technology (United States) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 12.7× the share of its output that it takes of world research.
- Computer ScienceField · 20.3 works13×
- Physical SciencesDomain · 21.1 works2.2×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
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.
Which keywords describe research at Clairvoyant Technology (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Information Retrieval, Text Classification, Neural Networks, Feature Selection, Neural Machine Translation, Statistical Machine Translation, Machine Translation and Word Representation.
- Text Mining
- Opinion Mining
- Deep Learning
- Extraction
- Semantic Web
- Linked Data
- Naive Bayes Classifier
- Word Representation
- Neural Machine Translation
- Feature Selection
- Text Classification
- Information Retrieval
- Neural Networks
- Machine Translation
- Statistical Machine Translation
- Multi-label Learning
- Data Integration
- Ontology
- Automatic
- Machine Learning
- Social Media
- Sentiment Analysis
- Support Vector Machines
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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Information Retrieval7▲ 205×5 topics
- Text Classification6▲ 265×2 topics
- Neural Networks6▲ 22×4 topics
- Feature Selection3▲ 80×2 topics
- Machine Translation3▲ 115×1 topic
- Neural Machine Translation3▲ 158×1 topic
- Statistical Machine Translation3▲ 158×1 topic
- Word Representation3▲ 194×1 topic
- Multi-label Learning3▲ 565×1 topic
- Naive Bayes Classifier3▲ 273×1 topic
- Data Integration2▲ 40×2 topics
- Linked Data2▲ 123×1 topic
- Ontology2▲ 54×1 topic
- Semantic Web2▲ 67×2 topics
- Automatic2▲ 278×1 topic
- Extraction2▲ 48×1 topic
- Machine Learning2▲ 4.1×4 topics
- Deep Learning1▲ 2.8×2 topics
- Social Media1▲ 6.6×2 topics
- Opinion Mining1▲ 195×1 topic
- Sentiment Analysis1▲ 89×1 topic
- Text Mining1▲ 56×2 topics
- Support Vector Machines1▲ 15×2 topics
Which research topics does Clairvoyant Technology (United States) publish most on?
By volume in 2022–2025: CRISPR and Genetic Engineering, Genetic Neurodegenerative Diseases and Parkinson's Disease Mechanisms and Treatments.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 CRISPR and Genetic Engineering Molecular Biology 0 works
- 2 Genetic Neurodegenerative Diseases Cellular and Molecular Neuroscience 0 works
- 3 Parkinson's Disease Mechanisms and Treatments Neurology 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 Clairvoyant Technology (United States)'s research output changed?
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 Durham
- Duke University
- Duke Medical Center
- Duke University Hospital
- Research Triangle Park Foundation
- National Institute of Environmental Health Sciences
- RTI International
- North Carolina Central University
- Durham VA Medical Center
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.