- Research works
- 20 ▼ 69% vs 2013–17
- Citations
- 267 13.2 per fractional work
- Top-10% rate
- 25.9% record average 16.5%
- Open access
- 32% world 28%
Not ranked overall: Lymba (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which keywords describe research at Lymba (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Data Integration, Semantic Web, Neural Networks, Linked Data, Ontology, Neural Machine Translation, Statistical Machine Translation and Text Classification.
- Automatic
- Biomedical Literature
- Text Mining
- Word Representation
- Text Classification
- Neural Machine Translation
- Linked Data
- Semantic Web
- Data Integration
- Neural Networks
- Ontology
- Statistical Machine Translation
- Machine Translation
- Natural Language Processing
- Machine Learning
- Biomedical Ontologies
- Extraction
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 17 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 17 words, with their numbers
- Data Integration6▲ 134×3 topics
- Semantic Web6▲ 206×2 topics
- Neural Networks6▲ 28×4 topics
- Linked Data4▲ 297×1 topic
- Ontology4▲ 130×1 topic
- Neural Machine Translation4▲ 265×1 topic
- Statistical Machine Translation4▲ 265×1 topic
- Text Classification4▲ 224×2 topics
- Machine Translation4▲ 183×1 topic
- Word Representation4▲ 308×1 topic
- Natural Language Processing2▲ 74×2 topics
- Text Mining2▲ 104×2 topics
- Machine Learning2▲ 3.6×6 topics
- Biomedical Literature2▲ 272×1 topic
- Biomedical Ontologies2▲ 272×1 topic
- Automatic1▲ 209×1 topic
- Extraction1▲ 36×1 topic
Which research topics does Lymba (United States) publish most on?
By volume: Semantic Web and Ontologies, Natural Language Processing Techniques, Topic Modeling and Biomedical Text Mining and Ontologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Semantic Web and Ontologies Artificial Intelligence 4 works
- 2 Natural Language Processing Techniques Artificial Intelligence 4 works
- 3 Topic Modeling Artificial Intelligence 4 works
- 4 Biomedical Text Mining and Ontologies Molecular Biology 2 works
- 5 Advanced Text Analysis Techniques Artificial Intelligence 1 works
- 6 Speech and dialogue systems Artificial Intelligence 1 works
- 7 Data Quality and Management Management Science and Operations Research 0 works
- 8 Data Mining Algorithms and Applications Information Systems 0 works
- 9 Data Management and Algorithms Signal Processing 0 works
- 10 Software Engineering Research Information Systems 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 Lymba (United States)'s research output changed?
Output in 2018–2022 was 69% lower 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 Richardson
- The University of Texas at Dallas
- ZTE (United States)
- Vi Technology (United States)
- Society of Petroleum Engineers
- Language Computer (United States)
- Methodist Richardson Medical Center
- Memtronics (United States)
- IntelliEPI (United States)
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.