Science Explorer Interactive view Map
Research facility · Tokyo · Japan

National Institute of Informatics

In research, National Institute of Informatics stands highest in Computer Science (#863 of 4,667 worldwide), Physical Sciences (#4,431 of 12,888 worldwide) and Artificial Intelligence (#735 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Computational Theory and Mathematics and Artificial Intelligence — Signal Processing is 15.0× its share of world research.

World rank, 2022–2025
#7,166
of 28,054 · #4,225 all time
Rank in Japan
#176
of 1,070
Research works
4.8k
▼ 18% vs 2013–17
Citations
71k
14.7 per fractional work
Top-10% rate
16.3%
record average 16.5%
Open access
34%
world 28%

What is National Institute of Informatics 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 #863 of 4,667 16.2%426 #571
Physical SciencesDomain #4,431 of 12,888 15.6%587 #2746
Artificial IntelligenceSubfield #735 of 1,884 18.0%169 #448
EngineeringField #3,534 of 6,636 14.5%126 #3463
Social SciencesDomain #6,844 of 10,521 23.3%96 #7324
Computer Vision and Pattern RecognitionSubfield #689 of 941 19.6%77 #497

Each strip is that field’s whole ranked pool, with the notch where National Institute of Informatics 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. Computer Science#571 #863
  2. Physical Sciences#2,746 #4,431
  3. Artificial Intelligence#448 #735
  4. Engineering#3,463 #3,534
  5. Social Sciences#7,324 #6,844
  6. Computer Vision and Pattern Recognition#497 #689
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 National Institute of Informatics specialise in?

Where its research is concentrated relative to its size: Signal Processing takes 15.0× the share of its output that it takes of world research.

  1. Signal ProcessingSubfield · 33.4 works15×
  2. Computational Theory and MathematicsSubfield · 39.1 works12×
  3. Artificial IntelligenceSubfield · 168.8 works9.5×
  4. Computer Vision and Pattern RecognitionSubfield · 76.9 works8.3×
  5. Computer ScienceField · 425.6 works7.5×
← 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: 0.14× its world share, 5 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.30× its world share, 12 worksBiochemistry, Geneti…Immunology and Microbiology: 0.08× its world share, 1 worksImmunology and Micro…Neuroscience: 0.84× its world share, 10 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.08× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.06× its world share, 0 worksChemical EngineeringChemistry: 0.03× its world share, 0 worksChemistryComputer Science: 7.45× its world share, 426 worksComputer ScienceEarth and Planetary Sciences: 0.32× its world share, 4 worksEarth and Planetary …Engineering: 1.14× its world share, 126 worksEngineeringEnvironmental Science: 0.11× its world share, 4 worksEnvironmental ScienceMaterials Science: 0.16× its world share, 4 worksMaterials ScienceMathematics: 0.76× its world share, 7 worksMathematicsPhysics and Astronomy: 1.01× its world share, 16 worksPhysics and AstronomyHealth Professions: 0.15× its world share, 3 worksHealth ProfessionsMedicine: 0.15× its world share, 21 worksMedicineNursing: 0.11× its world share, 0 worksNursingArts and Humanities: 0.27× its world share, 6 worksArts and HumanitiesBusiness, Management and Accounting: 0.30× its world share, 7 worksBusiness, Management…Decision Sciences: 3.70× its world share, 26 worksDecision SciencesEconomics, Econometrics and Finance: 0.39× its world share, 6 worksEconomics, Econometr…Psychology: 0.68× its world share, 15 worksPsychologySocial Sciences: 0.38× its world share, 35 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 7.5×. Every wedge is a field page.

Who are the top researchers at National Institute of Informatics?

Ranked on the composite score, William J. Munro, Helmut Prendinger and Yinqiang Zheng lead among researchers whose main affiliation is National Institute of Informatics.

  1. 1 William J. Munro Japan · #31,383 worldwide 1.5k citations · 149 works
  2. 2 Helmut Prendinger Japan · #76,607 worldwide 433 citations · 87 works
  3. 3 Yinqiang Zheng Japan · #87,519 worldwide 398 citations · 59 works
  4. 4 Junichi Yamagishi Japan · #146,595 worldwide 1.1k citations · 210 works
  5. 5 Imari Sato Japan · #200,213 worldwide 207 citations · 44 works
  6. 6 Takeaki Uno Japan · #216,684 worldwide 408 citations · 91 works
  7. 7 Lin Zhang Japan · #236,145 worldwide 119 citations · 36 works
  8. 8 Kae Nemoto Japan · #245,384 worldwide 595 citations · 142 works
  9. 9 Shin’ichi Satoh Japan · #254,732 worldwide 604 citations · 143 works
  10. 10 Yusheng Ji Japan · #286,799 worldwide 764 citations · 204 works
All ranked researchers at National Institute of Informatics

Which keywords describe research at National Institute of Informatics?

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, Security, Model Checking, Information Retrieval and Topic Modeling.

▲ 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 Learning161▲ 6.4×68 topics
  2. Neural Networks91▲ 8.1×32 topics
  3. Machine Learning85▲ 3.5×62 topics
  4. Convolutional Neural Networks41▲ 7.7×14 topics
  5. Security32▲ 6.6×18 topics
  6. Big Data24▲ 3.7×17 topics
  7. Artificial Intelligence23▲ 2.3×21 topics
  8. Model Checking20▲ 60×3 topics
  9. Energy Efficiency20▲ 2.9×12 topics
  10. Information Retrieval20▲ 12×5 topics
  11. Topic Modeling19▲ 18×3 topics
  12. Feature Extraction19▲ 5.5×10 topics
  13. Text Classification18▲ 16×3 topics
  14. Approximation Algorithms18▲ 34×5 topics
  15. Machine Translation17▲ 14×1 topic
  16. Word Representation17▲ 20×1 topic
  17. Deep Neural Networks16▲ 20×3 topics
  18. Unsupervised Learning16▲ 15×3 topics
  19. IoT Security16▲ 6.6×3 topics
  20. Beamforming15▲ 20×3 topics
  21. Temporal Logic15▲ 62×2 topics
  22. Representation Learning14▲ 14×3 topics
  23. Algorithmic Applications14▲ 54×2 topics
  24. Entanglement13▲ 12×4 topics
  25. Quantum Information13▲ 15×3 topics
  26. Audio-Visual Speech Recognition13▲ 33×1 topic
  27. Speech Enhancement13▲ 33×1 topic
  28. Anomaly Detection13▲ 6.0×3 topics
  29. Corpus Linguistics13▲ 8.1×2 topics
  30. Neural Machine Translation13▲ 18×1 topic
  31. Semi-Supervised Learning13▲ 15×3 topics
  32. Statistical Machine Translation13▲ 18×1 topic
  33. 5G Networks12▲ 8.1×5 topics
  34. Natural Language Processing12▲ 7.0×6 topics
  35. Multi-Agent Systems12▲ 8.4×5 topics
  36. Distributed Systems11▲ 9.3×6 topics
  37. Hidden Markov Models11▲ 26×3 topics
  38. Image Classification11▲ 8.9×2 topics
  39. Knowledge Representation11▲ 17×5 topics
  40. Data Integration11▲ 8.9×6 topics

Which research topics does National Institute of Informatics publish most on?

By volume in 2022–2025: Topic Modeling, Speech and Audio Processing, Natural Language Processing Techniques and Speech Recognition and Synthesis.

  1. 1 Topic Modeling Artificial Intelligence 17 works
  2. 2 Speech and Audio Processing Signal Processing 13 works
  3. 3 Natural Language Processing Techniques Artificial Intelligence 13 works
  4. 4 Speech Recognition and Synthesis Artificial Intelligence 11 works
  5. 5 Music and Audio Processing Signal Processing 10 works
  6. 6 Formal Methods in Verification Computational Theory and Mathematics 9 works
  7. 7 Quantum Computing Algorithms and Architecture Artificial Intelligence 9 works
  8. 8 Adversarial Robustness in Machine Learning Artificial Intelligence 9 works
  9. 9 Quantum Information and Cryptography Artificial Intelligence 9 works
  10. 10 Complexity and Algorithms in Graphs Computational Theory and Mathematics 8 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 available34.3%not open65.7%

World: 28% of research is openly available.

with international co-authors31.4%domestic only68.6%

World: 19% is written across borders.

How has National Institute of Informatics'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 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.