Science Explorer Interactive view Map
Nonprofit · Tokyo · Japan

Telecommunications Advancement Foundation

In research, Telecommunications Advancement Foundation stands highest in Physical Sciences (#18,773 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 23.0× its share of world research.

World rank, all time
#35,767
of 42,892
Rank in Japan
#1,567
of 2,112
Research works
137
fractional, all time
Citations
1.2k
8.7 per fractional work
Top-10% rate
8.7%
record average 16.5%
Open access
9%
world 28%

What is Telecommunications Advancement Foundation 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
Physical SciencesDomain #18,773 of 21,541 8.0%121

Each strip is that field’s whole ranked pool, with the notch where Telecommunications Advancement Foundation 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).

What does Telecommunications Advancement Foundation specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 23.0× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 31.8 works23×
  2. Computer ScienceField · 60.4 works6.5×
← 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.

    Which keywords describe research at Telecommunications Advancement Foundation?

    By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Photovoltaics, Virtual Reality, Feature Matching, Local Descriptors, Semiconductor, Content-Based Retrieval and Video Summarization.

    ▲ 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 Learning14▲ 4.9×18 topics
    2. Photovoltaics8▲ 23×4 topics
    3. Virtual Reality7▲ 15×4 topics
    4. Feature Matching6▲ 80×1 topic
    5. Local Descriptors6▲ 80×1 topic
    6. Machine Learning6▲ 2.1×8 topics
    7. Semiconductor6▲ 14×3 topics
    8. Content-Based Retrieval6▲ 154×1 topic
    9. Video Summarization6▲ 154×1 topic
    10. Depth Estimation5▲ 41×2 topics
    11. Quantum Dots5▲ 25×2 topics
    12. Convolutional Networks5▲ 32×3 topics
    13. Optical Flow5▲ 59×1 topic
    14. Stereo Vision5▲ 59×1 topic
    15. Band Parameters5▲ 28×2 topics
    16. Nanowires5▲ 15×2 topics
    17. Solar Cells5▲ 11×5 topics
    18. Wireless Networks5▲ 15×6 topics
    19. Excitons5▲ 43×1 topic
    20. Single-Photon Source5▲ 43×1 topic
    21. Content-Based Image Retrieval4▲ 74×1 topic
    22. Shape Matching4▲ 74×1 topic
    23. Holographic Displays4▲ 159×1 topic
    24. Stereoscopic Displays4▲ 159×1 topic
    25. Neural Networks4▲ 3.0×5 topics
    26. Cryptanalysis4▲ 36×2 topics
    27. Security Analysis4▲ 24×2 topics
    28. Interactive Television3▲ 89×1 topic
    29. Social TV3▲ 89×1 topic
    30. Channel Assignment3▲ 21×3 topics
    31. LEO Satellite Constellation3▲ 105×1 topic
    32. Satellite Communications3▲ 105×1 topic
    33. Simulation3▲ 6.3×2 topics
    34. Performance Analysis3▲ 12×3 topics
    35. Bioimaging3▲ 8.5×2 topics
    36. Interference Mitigation3▲ 53×2 topics
    37. Channel Modeling3▲ 18×4 topics
    38. Congestion Control3▲ 69×1 topic
    39. Resource Allocation3▲ 8.2×5 topics
    40. TCP3▲ 69×1 topic

    Which research topics does Telecommunications Advancement Foundation publish most on?

    By volume: Advanced Image and Video Retrieval Techniques, Video Analysis and Summarization, Advanced Vision and Imaging and Semiconductor Quantum Structures and Devices.

    1. 1 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 6 works
    2. 2 Video Analysis and Summarization Computer Vision and Pattern Recognition 6 works
    3. 3 Advanced Vision and Imaging Computer Vision and Pattern Recognition 5 works
    4. 4 Semiconductor Quantum Structures and Devices Atomic and Molecular Physics, and Optics 5 works
    5. 5 Image Retrieval and Classification Techniques Computer Vision and Pattern Recognition 4 works
    6. 6 Advanced Optical Imaging Technologies Media Technology 4 works
    7. 7 Multimedia Communication and Technology Sociology and Political Science 3 works
    8. 8 Satellite Communication Systems Aerospace Engineering 3 works
    9. 9 Network Traffic and Congestion Control Computer Networks and Communications 3 works
    10. 10 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 2 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 available9.0%not open91.0%

    World: 28% of research is openly available.

    with international co-authors7.4%domestic only92.6%

    World: 19% is written across borders.

    How has Telecommunications Advancement Foundation's research output changed?

    199520002005
    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.