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Nonprofit · Berkeley · United States

Machine Intelligence Research Institute

In research, Machine Intelligence Research Institute stands highest in Computer Science (#3,546 of 4,667 worldwide) and Physical Sciences (#10,825 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 9.7× its share of world research.

intelligence.orgROR OpenAlex
World rank, 2022–2025
#18,219
of 28,054 · #25,937 all time
Rank in United States
#2,625
of 4,192
Research works
532
▼ 18% vs 2013–17
Citations
4.7k
8.7 per fractional work
Top-10% rate
14.1%
record average 16.5%
Open access
39%
world 28%

What is Machine Intelligence Research Institute 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
Computer ScienceField #3,546 of 4,667 14.1%114 #5247
Physical SciencesDomain #10,825 of 12,888 13.4%174 #17297

Each strip is that field’s whole ranked pool, with the notch where Machine Intelligence Research Institute 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 Machine Intelligence Research Institute specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 9.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 30.9 works9.7×
  2. Artificial IntelligenceSubfield · 38.5 works6.3×
  3. Computer ScienceField · 113.7 works5.8×
← 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.

Agricultural and Biological Sciences: 0.64× its world share, 8 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.35× its world share, 5 worksBiochemistry, Geneti…Neuroscience: 2.13× its world share, 9 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.37× its world share, 0 worksPharmacology, Toxico…Chemistry: 0.75× its world share, 3 worksChemistryComputer Science: 5.76× its world share, 114 worksComputer ScienceEarth and Planetary Sciences: 0.25× its world share, 1 worksEarth and Planetary …Energy: 0.15× its world share, 0 worksEnergyEngineering: 1.16× its world share, 44 worksEngineeringEnvironmental Science: 0.45× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.27× its world share, 2 worksMaterials ScienceMathematics: 0.58× its world share, 2 worksMathematicsPhysics and Astronomy: 0.35× its world share, 2 worksPhysics and AstronomyDentistry: 0.56× its world share, 1 worksDentistryHealth Professions: 0.92× its world share, 6 worksHealth ProfessionsMedicine: 0.39× its world share, 19 worksMedicineArts and Humanities: 0.14× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.68× its world share, 6 worksBusiness, Management…Decision Sciences: 2.05× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.40× its world share, 2 worksEconomics, Econometr…Psychology: 0.96× its world share, 7 worksPsychologySocial Sciences: 0.35× its world share, 11 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.8×. Every wedge is a field page.

Which keywords describe research at Machine Intelligence Research Institute?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Healthcare, Convolutional Neural Networks, Security, Internet of Things and Artificial Intelligence.

▲ 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. Deep Learning82▲ 9.4×65 topics
  2. Machine Learning56▲ 6.8×59 topics
  3. Neural Networks26▲ 6.7×27 topics
  4. Healthcare21▲ 7.4×9 topics
  5. Artificial Intelligence17▲ 4.9×19 topics
  6. Convolutional Neural Networks17▲ 9.0×13 topics
  7. Internet of Things16▲ 7.3×12 topics
  8. Security16▲ 9.7×15 topics
  9. Data Mining12▲ 6.1×9 topics
  10. Wireless Sensor Networks10▲ 8.9×9 topics
  11. Feature Extraction10▲ 8.7×10 topics
  12. Medical Imaging10▲ 7.8×6 topics
  13. Big Data10▲ 4.3×15 topics
  14. Classification10▲ 8.3×8 topics
  15. Smart Cities9▲ 14×6 topics
  16. Image Processing9▲ 7.7×10 topics
  17. Big Data Analytics9▲ 16×3 topics
  18. Cybersecurity8▲ 14×4 topics
  19. IoT8▲ 8.9×12 topics
  20. Anomaly Detection8▲ 11×4 topics
  21. IoT Security8▲ 9.2×3 topics
  22. Cloud Computing7▲ 9.7×6 topics
  23. Transfer Learning7▲ 14×3 topics
  24. Precision Medicine6▲ 5.2×5 topics
  25. Computer Vision6▲ 8.6×4 topics
  26. Environmental Monitoring6▲ 6.1×5 topics
  27. Surveillance6▲ 8.4×4 topics
  28. Feature Selection6▲ 9.9×4 topics
  29. Human-Computer Interaction6▲ 13×5 topics
  30. Convolutional Neural Network6▲ 14×3 topics
  31. Time Series6▲ 12×3 topics
  32. High-Dimensional Data5▲ 13×3 topics
  33. Image Segmentation5▲ 17×3 topics
  34. Smart Farming5▲ 18×2 topics
  35. Privacy5▲ 6.7×5 topics
  36. Classification Models4▲ 20×1 topic
  37. Convolutional Networks4▲ 13×3 topics
  38. Medical Diagnosis4▲ 19×1 topic
  39. Pose Estimation4▲ 16×2 topics
  40. Outlier Detection4▲ 13×1 topic

Which research topics does Machine Intelligence Research Institute publish most on?

By volume in 2022–2025: Artificial Intelligence in Healthcare, Anomaly Detection Techniques and Applications, Smart Agriculture and AI and Brain Tumor Detection and Classification.

Artificial Intelligence …4Artificial Intelligence in Healthcare: 4 fractional worksAnomaly Detection Techni…4Anomaly Detection Techniques and Applications: 4 fractional worksSmart Agriculture and AI: 4 fractional worksBrain Tumor Detection an…4Brain Tumor Detection and Classification: 4 fractional worksInternet of Things and AI4Internet of Things and AI: 4 fractional worksAdvanced Neural Network Applications: 4 fractional worksBlockchain Technology Applications and Security: 4 fractional worksHuman Pose and Action Re…3Human Pose and Action Recognition: 3 fractional worksNetwork Security and Intrusion Detection: 3 fractional worksMachine Learning in Healthcare: 3 fractional works
Health Information ManagementArtificial IntelligencePlant ScienceNeurology3 others

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

  1. 1 Artificial Intelligence in Healthcare Health Information Management 4 works
  2. 2 Anomaly Detection Techniques and Applications Artificial Intelligence 4 works
  3. 3 Smart Agriculture and AI Plant Science 4 works
  4. 4 Brain Tumor Detection and Classification Neurology 4 works
  5. 5 Internet of Things and AI Information Systems 4 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
  7. 7 Blockchain Technology Applications and Security Information Systems 4 works
  8. 8 Human Pose and Action Recognition Computer Vision and Pattern Recognition 3 works
  9. 9 Network Security and Intrusion Detection Computer Networks and Communications 3 works
  10. 10 Machine Learning in Healthcare Artificial Intelligence 3 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 available39.1%not open60.9%

World: 28% of research is openly available.

with international co-authors40.6%domestic only59.4%

World: 19% is written across borders.

How has Machine Intelligence Research Institute's research output changed?

Output in 2018–2022 was 18% lower 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 Berkeley

All research institutions in Berkeley

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.