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University · Chiba · Japan

Tokyo University of Information Sciences

In research, Tokyo University of Information Sciences stands highest in Physical Sciences (#5,022 of 12,888 worldwide), Engineering (#3,303 of 6,636 worldwide) and Computer Science (#3,607 of 4,667 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 4.3× its share of world research.

World rank, 2022–2025
#7,316
of 28,054 · #5,894 all time
Rank in Japan
#181
of 1,070
Research works
2.1k
▲ 8% vs 2013–17
Citations
27k
12.6 per fractional work
Top-10% rate
13.3%
record average 16.5%
Open access
30%
world 28%

What is Tokyo University of Information Sciences 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 #5,022 of 12,888 12.8%321 #4080
EngineeringField #3,303 of 6,636 11.4%151 #2774
Computer ScienceField #3,607 of 4,667 12.4%104 #2187
Social SciencesDomain #9,134 of 10,521 15.1%66 #9302
Electrical and Electronic EngineeringSubfield #2,052 of 2,318 8.3%67 #2378

Each strip is that field’s whole ranked pool, with the notch where Tokyo University of Information Sciences 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#4,080 #5,022
  2. Engineering#2,774 #3,303
  3. Computer Science#2,187 #3,607
  4. Social Sciences#9,302 #9,134
  5. Electrical and Electronic Engineering#2,378 #2,052
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 Tokyo University of Information Sciences specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 4.3× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 24.3 works4.3×
← 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: 0.23× its world share, 5 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.48× its world share, 12 worksBiochemistry, Geneti…Immunology and Microbiology: 0.34× its world share, 2 worksImmunology and Micro…Neuroscience: 1.55× its world share, 11 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 1.46× its world share, 2 worksPharmacology, Toxico…Chemical Engineering: 0.53× its world share, 1 worksChemical EngineeringChemistry: 0.43× its world share, 3 worksChemistryComputer Science: 2.96× its world share, 104 worksComputer ScienceEarth and Planetary Sciences: 1.00× its world share, 7 worksEarth and Planetary …Energy: 0.99× its world share, 4 worksEnergyEngineering: 2.23× its world share, 151 worksEngineeringEnvironmental Science: 0.75× its world share, 17 worksEnvironmental ScienceMaterials Science: 0.60× its world share, 9 worksMaterials ScienceMathematics: 0.97× its world share, 5 worksMathematicsPhysics and Astronomy: 2.00× its world share, 20 worksPhysics and AstronomyDentistry: 0.11× its world share, 0 worksDentistryHealth Professions: 0.55× its world share, 6 worksHealth ProfessionsMedicine: 0.27× its world share, 24 worksMedicineNursing: 0.78× its world share, 2 worksNursingVeterinary: 0.14× its world share, 0 worksVeterinaryArts and Humanities: 0.36× its world share, 5 worksArts and HumanitiesBusiness, Management and Accounting: 0.23× its world share, 3 worksBusiness, Management…Decision Sciences: 0.97× its world share, 4 worksDecision SciencesEconomics, Econometrics and Finance: 0.26× its world share, 2 worksEconomics, Econometr…Psychology: 1.09× its world share, 15 worksPsychologySocial Sciences: 0.63× its world share, 36 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 3.0×. Every wedge is a field page.

Who are the top researchers at Tokyo University of Information Sciences?

Ranked on the composite score, Joong-Sun Lee, Kazuko Yamasaki and Keitarou Hara lead among researchers whose main affiliation is Tokyo University of Information Sciences.

  1. 1 Joong-Sun Lee Japan · #1,028,590 worldwide 3 citations · 30 works
  2. 2 Kazuko Yamasaki Japan · #1,134,429 worldwide 27 citations · 16 works
  3. 3 Keitarou Hara Japan · #1,185,068 worldwide 38 citations · 21 works
  4. 4 Moo Wan Kim Japan · #1,249,996 worldwide 6 citations · 18 works
  5. 5 Ichio Asanuma Japan · #1,260,323 worldwide 22 citations · 17 works
  6. 6 Kenneth J. Mackin Japan · #1,550,925 worldwide 10 citations · 23 works
All ranked researchers at Tokyo University of Information Sciences

Which keywords describe research at Tokyo University of Information Sciences?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Neuromorphic Computing, Non-Volatile Memory, Synaptic Plasticity, Memristor and Resistive Switching.

▲ 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 Learning58▲ 3.7×64 topics
  2. Neural Networks35▲ 5.0×29 topics
  3. Machine Learning33▲ 2.2×53 topics
  4. Neuromorphic Computing16▲ 31×2 topics
  5. Remote Sensing13▲ 2.4×21 topics
  6. Convolutional Neural Networks13▲ 3.9×13 topics
  7. Non-Volatile Memory10▲ 22×2 topics
  8. Synaptic Plasticity10▲ 9.8×3 topics
  9. Memristor9▲ 24×1 topic
  10. Resistive Switching9▲ 24×1 topic
  11. Virtual Reality9▲ 3.9×8 topics
  12. Field-Effect Transistors8▲ 12×4 topics
  13. Thin Films8▲ 9.5×6 topics
  14. Travel Behavior8▲ 20×2 topics
  15. Semiconductor Lasers8▲ 26×2 topics
  16. Nonlinear Dynamics7▲ 7.2×3 topics
  17. Doping7▲ 17×2 topics
  18. Ferroelectricity7▲ 17×2 topics
  19. Hafnium Oxide7▲ 48×1 topic
  20. Negative Capacitance7▲ 48×1 topic
  21. Integrated Circuits7▲ 9.7×3 topics
  22. Probabilistic Forecasting6▲ 7.3×3 topics
  23. Time Series Analysis6▲ 7.8×3 topics
  24. Neuromorphic Photonics6▲ 44×1 topic
  25. Photonic Reservoir Computing6▲ 44×1 topic
  26. Short-Term Forecasting6▲ 9.3×2 topics
  27. Intelligent Transportation Systems6▲ 8.7×3 topics
  28. GPS Data6▲ 33×1 topic
  29. Human Mobility6▲ 33×1 topic
  30. Health Monitoring5▲ 5.8×4 topics
  31. Nanoelectronics5▲ 13×2 topics
  32. Traffic Flow5▲ 11×2 topics
  33. Signal Processing5▲ 8.4×5 topics
  34. Atomic Layer Deposition5▲ 16×1 topic
  35. High-k Dielectrics5▲ 16×1 topic
  36. Semantic Web5▲ 11×4 topics
  37. Graph Convolutional Networks5▲ 9.3×2 topics
  38. Silicon Photonics5▲ 9.6×2 topics
  39. Urban Traffic5▲ 8.3×2 topics
  40. Wearable Sensors5▲ 8.9×3 topics

Which research topics does Tokyo University of Information Sciences publish most on?

By volume in 2022–2025: Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neural Networks and Reservoir Computing and Human Mobility and Location-Based Analysis.

  1. 1 Advanced Memory and Neural Computing Electrical and Electronic Engineering 9 works
  2. 2 Ferroelectric and Negative Capacitance Devices Electrical and Electronic Engineering 7 works
  3. 3 Neural Networks and Reservoir Computing Artificial Intelligence 6 works
  4. 4 Human Mobility and Location-Based Analysis Transportation 6 works
  5. 5 Semiconductor materials and devices Electrical and Electronic Engineering 5 works
  6. 6 Traffic Prediction and Management Techniques Building and Construction 4 works
  7. 7 Photonic and Optical Devices Electrical and Electronic Engineering 4 works
  8. 8 Geographic Information Systems Studies Geography, Planning and Development 4 works
  9. 9 Education and Learning Interventions Information Systems 3 works
  10. 10 Optical Network Technologies Electrical and Electronic Engineering 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 available29.9%not open70.1%

World: 28% of research is openly available.

with international co-authors14.6%domestic only85.4%

World: 19% is written across borders.

How has Tokyo University of Information Sciences's research output changed?

Output in 2018–2022 was 8% 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 Chiba

All research institutions in Chiba

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.