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Research facility · Tokyo · Japan

RIKEN Center for Advanced Intelligence Project

In research, RIKEN Center for Advanced Intelligence Project stands highest in Physical Sciences (#2,290 of 12,888 worldwide), Computer Science (#1,017 of 4,667 worldwide) and Engineering (#2,915 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Vision and Pattern Recognition — Artificial Intelligence is 7.9× its share of world research.

World rank, 2022–2025
#3,307
of 28,054 · #6,236 all time
Rank in Japan
#59
of 1,070
Research works
1.3k
▲ 2386% vs 2013–17
Citations
20k
15.9 per fractional work
Top-10% rate
22.7%
record average 16.5%
Open access
57%
world 28%

What is RIKEN Center for Advanced Intelligence Project 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 #2,290 of 12,888 22.9%408 #4282
Computer ScienceField #1,017 of 4,667 22.0%224 #1962
EngineeringField #2,915 of 6,636 26.9%83 #5513
Artificial IntelligenceSubfield #907 of 1,884 21.7%112 #1229
Life SciencesDomain #4,999 of 7,800 21.1%70 #8947

Each strip is that field’s whole ranked pool, with the notch where RIKEN Center for Advanced Intelligence Project 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Physical Sciences#4,282 #2,290
  2. Computer Science#1,962 #1,017
  3. Engineering#5,513 #2,915
  4. Artificial Intelligence#1,229 #907
  5. Life Sciences#8,947 #4,999
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does RIKEN Center for Advanced Intelligence Project specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 7.9× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 111.7 works7.9×
  2. Computer Vision and Pattern RecognitionSubfield · 56.6 works7.7×
← less than its size predictsmore →

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: 0.13× its world share, 4 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 1.15× its world share, 36 worksBiochemistry, Geneti…Immunology and Microbiology: 0.33× its world share, 2 worksImmunology and Micro…Neuroscience: 2.94× its world share, 28 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.02× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.26× its world share, 0 worksChemical EngineeringChemistry: 0.26× its world share, 2 worksChemistryComputer Science: 4.91× its world share, 224 worksComputer ScienceEarth and Planetary Sciences: 1.35× its world share, 12 worksEarth and Planetary …Energy: 0.05× its world share, 0 worksEnergyEngineering: 0.95× its world share, 83 worksEngineeringEnvironmental Science: 0.45× its world share, 13 worksEnvironmental ScienceMaterials Science: 0.58× its world share, 12 worksMaterials ScienceMathematics: 6.40× its world share, 44 worksMathematicsPhysics and Astronomy: 1.22× its world share, 16 worksPhysics and AstronomyDentistry: 0.04× its world share, 0 worksDentistryHealth Professions: 0.22× its world share, 3 worksHealth ProfessionsMedicine: 0.43× its world share, 48 worksMedicineNursing: 0.12× its world share, 0 worksNursingVeterinary: 0.28× its world share, 0 worksVeterinaryArts and Humanities: 0.18× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.16× its world share, 3 worksBusiness, Management…Decision Sciences: 1.87× its world share, 11 worksDecision SciencesEconomics, Econometrics and Finance: 0.60× its world share, 8 worksEconomics, Econometr…Psychology: 0.83× its world share, 15 worksPsychologySocial Sciences: 0.23× its world share, 17 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Mathematics, 6.4×. Every wedge is a field page.

Who are the top researchers at RIKEN Center for Advanced Intelligence Project?

Ranked on the composite score, Junshi Xia, Qibin Zhao and Ryuji Hamamoto lead among researchers whose main affiliation is RIKEN Center for Advanced Intelligence Project.

  1. 1 Junshi Xia Japan · #205,197 worldwide 278 citations · 49 works
  2. 2 Qibin Zhao Japan · #485,156 worldwide 295 citations · 79 works
  3. 3 Ryuji Hamamoto Japan · #688,592 worldwide 92 citations · 49 works
  4. 4 Hà Quang Minh Japan · #1,077,769 worldwide 40 citations · 20 works
  5. 5 Kazuma Kobayashi Japan · #1,129,086 worldwide 18 citations · 17 works
  6. 6 Sherief Hashima Japan · #1,334,362 worldwide 39 citations · 20 works
  7. 7 Masaaki Komatsu Japan · #1,513,087 worldwide 19 citations · 23 works
All ranked researchers at RIKEN Center for Advanced Intelligence Project

Which keywords describe research at RIKEN Center for Advanced Intelligence Project?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Sparse Representation, Convex Optimization, Feature Extraction and Unsupervised Learning.

▲ 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 Learning121▲ 6.0×72 topics
  2. Machine Learning70▲ 3.7×67 topics
  3. Neural Networks62▲ 6.8×28 topics
  4. Convolutional Neural Networks26▲ 6.0×14 topics
  5. Sparse Representation20▲ 18×6 topics
  6. Remote Sensing19▲ 2.7×26 topics
  7. Feature Extraction19▲ 6.9×10 topics
  8. Convex Optimization18▲ 38×5 topics
  9. Classification17▲ 6.4×10 topics
  10. Unsupervised Learning17▲ 20×3 topics
  11. Semi-Supervised Learning17▲ 25×3 topics
  12. Representation Learning16▲ 20×3 topics
  13. Meta-Learning16▲ 33×2 topics
  14. Transfer Learning14▲ 13×3 topics
  15. Information Retrieval14▲ 11×3 topics
  16. Text Classification13▲ 14×3 topics
  17. Support Vector Machines13▲ 7.1×7 topics
  18. High-Dimensional Data12▲ 13×3 topics
  19. Machine Translation11▲ 12×2 topics
  20. Topic Modeling11▲ 13×3 topics
  21. Domain Adaptation11▲ 37×1 topic
  22. Few-Shot Learning11▲ 37×1 topic
  23. Medical Imaging11▲ 3.7×7 topics
  24. Semantic Similarity11▲ 15×1 topic
  25. Word Representation11▲ 15×1 topic
  26. Feature Selection10▲ 7.8×6 topics
  27. Surveillance9▲ 6.0×4 topics
  28. Convolutional Networks9▲ 11×3 topics
  29. Deep Neural Networks9▲ 14×3 topics
  30. Motor Imagery9▲ 13×2 topics
  31. Brain-Computer Interfaces9▲ 15×1 topic
  32. EEG Analysis9▲ 15×1 topic
  33. Outlier Detection9▲ 11×2 topics
  34. Time Series8▲ 7.8×3 topics
  35. Compressed Sensing8▲ 56×1 topic
  36. Signal Recovery8▲ 56×1 topic
  37. Hyperparameter Optimization8▲ 33×2 topics
  38. Image Classification8▲ 7.5×3 topics
  39. Neural Machine Translation7▲ 13×1 topic
  40. Statistical Machine Translation7▲ 13×1 topic

Which research topics does RIKEN Center for Advanced Intelligence Project publish most on?

By volume in 2022–2025: Domain Adaptation and Few-Shot Learning, Topic Modeling, EEG and Brain-Computer Interfaces and Sparse and Compressive Sensing Techniques.

  1. 1 Domain Adaptation and Few-Shot Learning Artificial Intelligence 11 works
  2. 2 Topic Modeling Artificial Intelligence 11 works
  3. 3 EEG and Brain-Computer Interfaces Cognitive Neuroscience 9 works
  4. 4 Sparse and Compressive Sensing Techniques Computational Mechanics 8 works
  5. 5 Natural Language Processing Techniques Artificial Intelligence 7 works
  6. 6 Anomaly Detection Techniques and Applications Artificial Intelligence 7 works
  7. 7 Neural Networks and Applications Artificial Intelligence 6 works
  8. 8 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
  9. 9 Tensor decomposition and applications Computational Mathematics 6 works
  10. 10 Remote-Sensing Image Classification Media Technology 6 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 available57.3%not open42.7%

World: 28% of research is openly available.

with international co-authors30.6%domestic only69.4%

World: 19% is written across borders.

How has RIKEN Center for Advanced Intelligence Project's research output changed?

Output in 2018–2022 was 2386% higher than in 2013–2017.

200020102020
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 Tokyo

All research institutions in Tokyo

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.