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Company · Stockholm · Sweden

Gavagai (Sweden)

gavagai.seROR OpenAlex
Research works
21
▼ 58% vs 2013–17
Citations
165
7.8 per fractional work
Top-10% rate
0.0%
record average 16.5%
Open access
60%
world 28%

Not ranked overall: Gavagai (Sweden) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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 Gavagai (Sweden)?

By fractional works in all years, weighted toward what it does more of than the world: Neural Networks, Information Retrieval, Text Classification, Machine Translation, Word Representation, Corpus Linguistics, Data Integration and Neural Machine Translation.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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 21 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 21 words, with their numbers
  1. Neural Networks5▲ 24×5 topics
  2. Information Retrieval4▲ 118×4 topics
  3. Text Classification3▲ 168×3 topics
  4. Machine Translation3▲ 127×1 topic
  5. Word Representation3▲ 215×1 topic
  6. Corpus Linguistics3▲ 63×2 topics
  7. Data Integration2▲ 50×3 topics
  8. Neural Machine Translation2▲ 139×1 topic
  9. Statistical Machine Translation2▲ 139×1 topic
  10. Automatic2▲ 288×1 topic
  11. Extraction2▲ 50×1 topic
  12. Semantic Web2▲ 64×2 topics
  13. Linked Data2▲ 111×1 topic
  14. Machine Learning2▲ 4.0×7 topics
  15. Ontology2▲ 49×1 topic
  16. Deep Learning2▲ 3.5×6 topics
  17. Social Media2▲ 9.0×5 topics
  18. Network Dynamics1▲ 46×2 topics
  19. Social Influence1▲ 38×2 topics
  20. Big Data1▲ 9.5×2 topics
  21. Text Mining1▲ 55×2 topics

Which research topics does Gavagai (Sweden) publish most on?

By volume in 2022–2025: Proteins in Food Systems, Advanced Graph Neural Networks, Polysaccharides Composition and Applications and Botanical Research and Applications.

Proteins in Food Systems0Proteins in Food Systems: 0 fractional worksAdvanced Graph Neural Ne…0Advanced Graph Neural Networks: 0 fractional worksPolysaccharides Composit…0Polysaccharides Composition and Applications: 0 fractional worksBotanical Research and A…0Botanical Research and Applications: 0 fractional worksTopic Modeling: 0 fractional worksStochastic Gradient Optimization Techniques: 0 fractional worksProtein Hydrolysis and B…0Protein Hydrolysis and Bioactive Peptides: 0 fractional worksDomain Adaptation and Few-Shot Learning: 0 fractional worksSemantic Web and Ontologies: 0 fractional worksSeaweed-derived Bioactiv…0Seaweed-derived Bioactive Compounds: 0 fractional works
Food ScienceArtificial IntelligenceMolecular BiologyAquatic Science

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Proteins in Food Systems Food Science 0 works
  2. 2 Advanced Graph Neural Networks Artificial Intelligence 0 works
  3. 3 Polysaccharides Composition and Applications Food Science 0 works
  4. 4 Botanical Research and Applications Food Science 0 works
  5. 5 Topic Modeling Artificial Intelligence 0 works
  6. 6 Stochastic Gradient Optimization Techniques Artificial Intelligence 0 works
  7. 7 Protein Hydrolysis and Bioactive Peptides Molecular Biology 0 works
  8. 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  9. 9 Semantic Web and Ontologies Artificial Intelligence 0 works
  10. 10 Seaweed-derived Bioactive Compounds Aquatic Science 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.

openly available59.9%not open40.1%

World: 28% of research is openly available.

with international co-authors26.6%domestic only73.4%

World: 19% is written across borders.

How has Gavagai (Sweden)'s research output changed?

Output in 2018–2022 was 58% lower than in 2013–2017.

201020152020
grewheldshrank

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 Stockholm

All research institutions in Stockholm

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.