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Nonprofit · Seattle · United States

Allen Institute for Artificial Intelligence

In research, Allen Institute for Artificial Intelligence stands highest in Physical Sciences (#5,265 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 19.2× its share of world research.

allenai.orgROR OpenAlex
World rank, 2022–2025
#8,774
of 28,054 · #13,611 all time
Rank in United States
#1,171
of 4,192
Research works
269
▲ 215% vs 2013–17
Citations
18k
66.5 per fractional work
Top-10% rate
36.0%
record average 16.5%
Open access
80%
world 28%

What is Allen Institute for Artificial Intelligence known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #5,265 of 12,888 35.5%76 #8521

Each strip is that field’s whole ranked pool, with the notch where Allen Institute for Artificial Intelligence sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

What does Allen Institute for Artificial Intelligence specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 19.2× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 44.9 works19×
  2. Computer ScienceField · 58.2 works7.7×
← less than its size predicts1×more →

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.

Biochemistry, Genetics and Molecular Biology: 0.43× its world share, 2 worksBiochemistry, Geneti…Immunology and Microbiology: 0.07× its world share, 0 worksImmunology and Micro…Neuroscience: 1.34× its world share, 2 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.07× its world share, 0 worksPharmacology, Toxico…Computer Science: 7.71× its world share, 58 worksComputer ScienceEarth and Planetary Sciences: 4.55× its world share, 7 worksEarth and Planetary …Energy: 0.05× its world share, 0 worksEnergyEngineering: 0.29× its world share, 4 worksEngineeringEnvironmental Science: 1.15× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.08× its world share, 0 worksMaterials ScienceMathematics: 0.21× its world share, 0 worksMathematicsPhysics and Astronomy: 0.44× its world share, 1 worksPhysics and AstronomyHealth Professions: 0.42× its world share, 1 worksHealth ProfessionsMedicine: 0.21× its world share, 4 worksMedicineArts and Humanities: 0.17× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.30× its world share, 1 worksBusiness, Management…Decision Sciences: 2.11× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.43× its world share, 1 worksEconomics, Econometr…Psychology: 0.90× its world share, 3 worksPsychologySocial Sciences: 0.35× its world share, 4 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.7×. Every wedge is a field page.

Who are the top researchers at Allen Institute for Artificial Intelligence?

Ranked on the composite score, Matthew E. Peters, Ana Marasović and Iz Beltagy lead among researchers whose main affiliation is Allen Institute for Artificial Intelligence.

  1. 1 Matthew E. Peters United States · #194,603 worldwide 557 citations · 17 works
  2. 2 Ana Marasović United States · #347,353 worldwide 146 citations · 19 works
  3. 3 Iz Beltagy United States · #408,723 worldwide 122 citations · 15 works
  4. 4 Ashwin Kalyan United States · #978,453 worldwide 48 citations · 15 works
All ranked researchers at Allen Institute for Artificial Intelligence

Which keywords describe research at Allen Institute for Artificial Intelligence?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Topic Modeling, Machine Translation, Information Retrieval, Text Classification, Word Representation, Deep Learning and Corpus Linguistics.

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

Size is fractional works in 2022–2025 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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Neural Networks26▲ 17×21 topics
  2. Deep Learning17▲ 5.2×41 topics
  3. Topic Modeling15▲ 106×2 topics
  4. Information Retrieval15▲ 70×3 topics
  5. Machine Translation15▲ 91×2 topics
  6. Text Classification15▲ 95×1 topic
  7. Word Representation15▲ 124×1 topic
  8. Corpus Linguistics12▲ 55×2 topics
  9. Neural Machine Translation11▲ 122×1 topic
  10. Statistical Machine Translation11▲ 122×1 topic
  11. Machine Learning10▲ 3.2×28 topics
  12. Climate Change5▲ 1.98×9 topics
  13. Global Warming5▲ 12×5 topics
  14. Image Captioning5▲ 96×1 topic
  15. Visual Question Answering5▲ 59×1 topic
  16. Hydrological Cycle4▲ 46×2 topics
  17. Probabilistic Forecasting4▲ 20×2 topics
  18. Data Assimilation4▲ 25×2 topics
  19. Convective Parameterization4▲ 70×1 topic
  20. Ensemble Kalman Filter4▲ 38×1 topic
  21. Data Integration3▲ 21×3 topics
  22. Extreme Events3▲ 40×2 topics
  23. Ocean Circulation3▲ 27×2 topics
  24. Climate Modeling3▲ 48×1 topic
  25. Natural Language Processing3▲ 14×5 topics
  26. Precipitation Extremes3▲ 48×1 topic
  27. Deep Neural Networks3▲ 30×2 topics
  28. Semantic Web3▲ 35×2 topics
  29. Representation Learning3▲ 22×3 topics
  30. Big Data3▲ 3.0×5 topics
  31. Convolutional Neural Networks3▲ 3.6×11 topics
  32. Semi-Supervised Learning2▲ 23×2 topics
  33. Unsupervised Learning2▲ 17×3 topics
  34. Interpretable Models2▲ 57×1 topic
  35. Machine Learning Interpretability2▲ 57×1 topic
  36. Text Mining2▲ 17×3 topics
  37. Transfer Learning2▲ 9.9×2 topics
  38. Domain Adaptation2▲ 35×1 topic
  39. Few-Shot Learning2▲ 35×1 topic
  40. Reinforcement Learning2▲ 15×2 topics

Which research topics does Allen Institute for Artificial Intelligence publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Meteorological Phenomena and Simulations.

Topic Modeling15Topic Modeling: 15 fractional worksNatural Language Process…11Natural Language Processing Techniques: 11 fractional worksMultimodal Machine Learning Applications: 5 fractional worksMeteorological Phenomena and Simulations: 4 fractional worksClimate variability and …3Climate variability and models: 3 fractional worksExplainable Artificial Intelligence (XAI): 2 fractional worksDomain Adaptation and Few-Shot Learning: 2 fractional worksSemantic Web and Ontologies: 2 fractional worksBiomedical Text Mining and Ontologies: 2 fractional worksAdvanced Text Analysis Techniques: 1 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionAtmospheric ScienceGlobal and Planetary Change1 others

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

  1. 1 Topic Modeling Artificial Intelligence 15 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 11 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 5 works
  4. 4 Meteorological Phenomena and Simulations Atmospheric Science 4 works
  5. 5 Climate variability and models Global and Planetary Change 3 works
  6. 6 Explainable Artificial Intelligence (XAI) Artificial Intelligence 2 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
  8. 8 Semantic Web and Ontologies Artificial Intelligence 2 works
  9. 9 Biomedical Text Mining and Ontologies Molecular Biology 2 works
  10. 10 Advanced Text Analysis Techniques Artificial Intelligence 1 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 available80.3%not open19.7%

World: 28% of research is openly available.

with international co-authors24.7%domestic only75.3%

World: 19% is written across borders.

How has Allen Institute for Artificial Intelligence's research output changed?

Output in 2018–2022 was 215% higher than in 2013–2017.

1990200020102020
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 Seattle

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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.