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National Institute of Japanese Literature

In research, National Institute of Japanese Literature stands highest in Computer Science (#4,194 of 7,020 worldwide) and Physical Sciences (#13,552 of 21,541 worldwide), over all time.

World rank, all time
#22,296
of 42,892
Rank in Japan
#848
of 2,112
Research works
340
▼ 14% vs 2013–17
Citations
3.9k
11.4 per fractional work
Top-10% rate
18.3%
record average 16.5%
Open access
39%
world 28%

What is National Institute of Japanese Literature known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Computer ScienceField #4,194 of 7,020 15.8%124
Physical SciencesDomain #13,552 of 21,541 15.8%179

Each strip is that field’s whole ranked pool, with the notch where National Institute of Japanese Literature 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).

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.

Neuroscience: 1.32× its world share, 1 worksNeuroscienceChemistry: 0.17× its world share, 0 worksChemistryComputer Science: 4.87× its world share, 12 worksComputer ScienceEarth and Planetary Sciences: 1.36× its world share, 1 worksEarth and Planetary …Engineering: 0.28× its world share, 1 worksEngineeringEnvironmental Science: 0.36× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.08× its world share, 0 worksMaterials SciencePhysics and Astronomy: 0.10× its world share, 0 worksPhysics and AstronomyMedicine: 0.38× its world share, 2 worksMedicineVeterinary: 1.68× its world share, 0 worksVeterinaryArts and Humanities: 3.31× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.17× its world share, 0 worksBusiness, Management…Psychology: 0.98× its world share, 1 worksPsychologySocial Sciences: 2.41× its world share, 10 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.9×. Every wedge is a field page.

Who are the top researchers at National Institute of Japanese Literature?

Ranked on the composite score, Hiroshi Kato, Kumiko Aoki and Kimio Kondo lead among researchers whose main affiliation is National Institute of Japanese Literature.

  1. 1 Hiroshi Kato Japan · #293,298 worldwide 21 citations · 35 works
  2. 2 Kumiko Aoki Japan · #441,494 worldwide 72 citations · 22 works
  3. 3 Kimio Kondo Japan · #1,257,278 worldwide 14 citations · 38 works
  4. 4 Noritaka Osawa Japan · #1,513,852 worldwide 16 citations · 22 works
All ranked researchers at National Institute of Japanese Literature

Which keywords describe research at National Institute of Japanese Literature?

By fractional works in 2022–2025, weighted toward what it does more of than the world: History, Culture, Deep Learning, Modernization, Literature, Colonialism, Identity and Japan.

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

All 31 words, with their numbers
  1. History6▲ 27×5 topics
  2. Deep Learning6▲ 5.2×19 topics
  3. Culture5▲ 29×4 topics
  4. Modernization5▲ 81×3 topics
  5. Literature4▲ 27×3 topics
  6. Colonialism4▲ 28×2 topics
  7. Identity4▲ 18×2 topics
  8. Japan4▲ 568×1 topic
  9. Society4▲ 64×1 topic
  10. Neural Networks4▲ 7.3×7 topics
  11. Machine Learning3▲ 3.0×8 topics
  12. Cultural Heritage2▲ 11×4 topics
  13. Semi-Supervised Learning2▲ 56×2 topics
  14. Convolutional Neural Networks2▲ 7.7×6 topics
  15. Image Classification2▲ 33×2 topics
  16. Philosophy2▲ 12×3 topics
  17. Corpus Linguistics1▲ 20×2 topics
  18. Neural Machine Translation1▲ 43×1 topic
  19. Religion1▲ 9.0×2 topics
  20. Statistical Machine Translation1▲ 43×1 topic
  21. Social Media1▲ 2.6×5 topics
  22. Automatic1▲ 85×1 topic
  23. Extraction1▲ 26×1 topic
  24. Knowledge Management1▲ 6.4×2 topics
  25. Meta-Learning1▲ 44×2 topics
  26. Transfer Learning1▲ 18×2 topics
  27. Active Learning1▲ 18×1 topic
  28. Collaboration1▲ 64×1 topic
  29. Gaussian Processes1▲ 138×1 topic
  30. Natural Language Processing1▲ 14×2 topics
  31. Wikipedia1▲ 543×1 topic

Which research topics does National Institute of Japanese Literature publish most on?

By volume in 2022–2025: Japanese History and Culture, Natural Language Processing Techniques, Advanced Text Analysis Techniques and Machine Learning and Algorithms.

  1. 1 Japanese History and Culture Cultural Studies 4 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 1 works
  3. 3 Advanced Text Analysis Techniques Artificial Intelligence 1 works
  4. 4 Machine Learning and Algorithms Artificial Intelligence 1 works
  5. 5 Wikis in Education and Collaboration Communication 1 works
  6. 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 1 works
  7. 7 Chinese history and philosophy Sociology and Political Science 1 works
  8. 8 Privacy-Preserving Technologies in Data Artificial Intelligence 1 works
  9. 9 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
  10. 10 Text Readability and Simplification 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 available38.7%not open61.3%

World: 28% of research is openly available.

with international co-authors13.3%domestic only86.7%

World: 19% is written across borders.

How has National Institute of Japanese Literature's research output changed?

Output in 2018–2022 was 14% 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.