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Government institution · Tokyo · Japan

Tokyo Metropolitan Police Department

World rank, all time
#35,734
of 42,892
Rank in Japan
#1,565
of 2,112
Research works
205
▼ 35% vs 2013–17
Citations
1.9k
9.1 per fractional work
Top-10% rate
5.6%
record average 16.5%
Open access
38%
world 28%

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.

Biochemistry, Genetics and Molecular Biology: 1.42× its world share, 1 worksBiochemistry, Geneti…Immunology and Microbiology: 1.37× its world share, 0 worksImmunology and Micro…Neuroscience: 0.85× its world share, 0 worksNeuroscienceChemistry: 0.44× its world share, 0 worksChemistryComputer Science: 4.26× its world share, 4 worksComputer ScienceEngineering: 1.11× its world share, 2 worksEngineeringMaterials Science: 0.66× its world share, 0 worksMaterials SciencePhysics and Astronomy: 0.62× its world share, 0 worksPhysics and AstronomyDentistry: 2.85× its world share, 0 worksDentistryMedicine: 0.74× its world share, 2 worksMedicineBusiness, Management and Accounting: 0.43× its world share, 0 worksBusiness, Management…Decision Sciences: 1.43× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.97× its world share, 0 worksEconomics, Econometr…Psychology: 1.36× its world share, 0 worksPsychologySocial Sciences: 0.86× its world share, 1 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.3×. Every wedge is a field page.

Who are the top researchers at Tokyo Metropolitan Police Department?

Ranked on the composite score, Norikoto ISHIDA lead among researchers whose main affiliation is Tokyo Metropolitan Police Department.

  1. 1 Norikoto ISHIDA Japan · #1,181,720 worldwide 8 citations · 16 works
All ranked researchers at Tokyo Metropolitan Police Department

Which keywords describe research at Tokyo Metropolitan Police Department?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Epidemiology, Endoscopic Resection, Gastric Cancer, Survival Analysis and Feature Extraction.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years 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 Learning18▲ 4.2×25 topics
  2. Epidemiology16▲ 1.96×42 topics
  3. Neural Networks14▲ 6.6×8 topics
  4. Convolutional Neural Networks8▲ 9.8×8 topics
  5. Machine Learning8▲ 1.71×17 topics
  6. Endoscopic Resection7▲ 35×2 topics
  7. Gastric Cancer7▲ 26×2 topics
  8. Clinical Practice Guidelines6▲ 5.7×6 topics
  9. Chemotherapy6▲ 4.3×9 topics
  10. Survival Analysis6▲ 11×5 topics
  11. Feature Extraction6▲ 11×7 topics
  12. Urban Traffic6▲ 47×2 topics
  13. Intelligent Transportation Systems6▲ 31×2 topics
  14. Imaging6▲ 7.5×4 topics
  15. Short-Term Forecasting5▲ 38×1 topic
  16. Traffic Flow5▲ 43×1 topic
  17. Gene Expression5▲ 4.0×6 topics
  18. Handwriting Recognition5▲ 147×1 topic
  19. Text Detection5▲ 147×1 topic
  20. Genomic Analysis5▲ 8.1×4 topics
  21. Molecular Characterization5▲ 12×2 topics
  22. Pathogenesis5▲ 4.1×9 topics
  23. Complications4▲ 4.2×4 topics
  24. Adjuvant Therapy4▲ 18×2 topics
  25. Lymph Node Dissection4▲ 34×1 topic
  26. Neoadjuvant Chemotherapy4▲ 23×1 topic
  27. Neoadjuvant Therapy4▲ 8.9×4 topics
  28. Breast Cancer4▲ 6.0×3 topics
  29. Mass Spectrometry4▲ 8.1×6 topics
  30. Ancient DNA3▲ 28×1 topic
  31. Pesticides3▲ 17×2 topics
  32. Population History3▲ 101×1 topic
  33. Therapeutic Targets3▲ 7.1×5 topics
  34. Adults3▲ 22×2 topics
  35. Chemoradiation3▲ 27×2 topics
  36. Children3▲ 6.4×2 topics
  37. Intussusception3▲ 35×1 topic
  38. Meckel's Diverticulum3▲ 35×1 topic
  39. Immunohistochemistry3▲ 16×3 topics
  40. Quantitative3▲ 12×2 topics

Which research topics does Tokyo Metropolitan Police Department publish most on?

By volume in 2022–2025: Handwritten Text Recognition Techniques, Time Series Analysis and Forecasting, Music and Audio Processing and Image Processing and 3D Reconstruction.

  1. 1 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
  2. 2 Time Series Analysis and Forecasting Signal Processing 1 works
  3. 3 Music and Audio Processing Signal Processing 1 works
  4. 4 Image Processing and 3D Reconstruction Computer Vision and Pattern Recognition 0 works
  5. 5 Molecular Biology Techniques and Applications Molecular Biology 0 works
  6. 6 Economic Theory and Policy General Economics, Econometrics and Finance 0 works
  7. 7 Latin American socio-political dynamics Sociology and Political Science 0 works
  8. 8 Urban and sociocultural dynamics Urban Studies 0 works
  9. 9 Digital and Cyber Forensics Information Systems 0 works
  10. 10 Advanced Text Analysis Techniques Artificial Intelligence 0 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 available37.5%not open62.5%

World: 28% of research is openly available.

with international co-authors13.9%domestic only86.1%

World: 19% is written across borders.

How has Tokyo Metropolitan Police Department's research output changed?

Output in 2018–2022 was 35% 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.