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Company · Yokkaichi · Japan

AutoNetworks Technologies (Japan)

autonetworks.co.jp/en/company/index.htmlROR OpenAlex
Research works
42
▼ 51% vs 2013–17
Citations
221
5.3 per fractional work
Top-10% rate
0.0%
record average 16.5%
Open access
11%
world 28%

Not ranked overall: AutoNetworks Technologies (Japan) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

What does AutoNetworks Technologies (Japan) specialise in?

Where its research is concentrated relative to its size: Engineering takes 5.4× the share of its output that it takes of world research.

  1. EngineeringField · 33.2 works5.4×
← less than its size predicts1×more →

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.

Who are the top researchers at AutoNetworks Technologies (Japan)?

Ranked on the composite score, Tetsuya Ito, Yasuhiro Hattori and Shigeru Sawada lead among researchers whose main affiliation is AutoNetworks Technologies (Japan).

  1. 1 Tetsuya Ito Japan · #1,003,304 worldwide 15 citations · 22 works
  2. 2 Yasuhiro Hattori Japan · #1,087,088 worldwide 48 citations · 43 works
  3. 3 Shigeru Sawada Japan · #1,477,310 worldwide 10 citations · 24 works
  4. 4 Saitoh Yasushi Japan · #1,595,537 worldwide 8 citations · 15 works
All ranked researchers at AutoNetworks Technologies (Japan)

Which keywords describe research at AutoNetworks Technologies (Japan)?

By fractional works in all years, weighted toward what it does more of than the world: Electrical Contact Materials, Pantograph-Catenary Interaction, Finite Element Simulation, Fretting Wear, Friction, Adhesion, Gecko and Electromigration.

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

All 35 words, with their numbers
  1. Electrical Contact Materials8▲ 2140×1 topic
  2. Pantograph-Catenary Interaction8▲ 2140×1 topic
  3. Finite Element Simulation5▲ 325×1 topic
  4. Fretting Wear5▲ 438×1 topic
  5. Friction3▲ 108×2 topics
  6. Adhesion3▲ 213×1 topic
  7. Gecko3▲ 213×1 topic
  8. Electromigration3▲ 121×2 topics
  9. Mechanical Properties2▲ 6.1×6 topics
  10. Nanoparticles2▲ 4.3×4 topics
  11. Embedded Systems2▲ 54×4 topics
  12. Thin Films2▲ 19×2 topics
  13. Thermal Behavior2▲ 72×2 topics
  14. Deep Learning2▲ 2.1×9 topics
  15. Interfacial Reactions2▲ 141×1 topic
  16. Lead-free Solders2▲ 141×1 topic
  17. Power Electronics2▲ 14×3 topics
  18. Failure Analysis1▲ 25×2 topics
  19. Finite Element Method1▲ 26×2 topics
  20. Smart Grid1▲ 12×3 topics
  21. Nanocomposites1▲ 3.9×2 topics
  22. Ductile Fracture1▲ 73×1 topic
  23. Fluid Dynamics1▲ 19×2 topics
  24. Hard Real-Time Systems1▲ 134×1 topic
  25. Machine Learning1▲ 1.35×5 topics
  26. Scheduling Algorithms1▲ 57×1 topic
  27. Security Analysis1▲ 25×3 topics
  28. Sheet Metal Forming1▲ 73×1 topic
  29. Coatings1▲ 30×1 topic
  30. Design Optimization1▲ 59×1 topic
  31. Nanoindentation1▲ 32×1 topic
  32. Structural Analysis1▲ 17×1 topic
  33. Wireless Sensor Networks1▲ 6.6×3 topics
  34. Low-k Dielectrics1▲ 98×1 topic
  35. Microelectronics1▲ 88×1 topic

Which research topics does AutoNetworks Technologies (Japan) publish most on?

By volume in 2022–2025: IoT and Edge/Fog Computing, Vehicular Ad Hoc Networks (VANETs), Distributed systems and fault tolerance and Domain Adaptation and Few-Shot Learning.

IoT and Edge/Fog Computing0IoT and Edge/Fog Computing: 0 fractional worksVehicular Ad Hoc Network…0Vehicular Ad Hoc Networks (VANETs): 0 fractional worksDistributed systems and …0Distributed systems and fault tolerance: 0 fractional worksDomain Adaptation and Fe…0Domain Adaptation and Few-Shot Learning: 0 fractional worksMultimodal Machine Learn…0Multimodal Machine Learning Applications: 0 fractional worksCOVID-19 diagnosis using AI: 0 fractional works
Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial IntelligenceComputer Vision and Pattern Recognition1 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
  2. 2 Vehicular Ad Hoc Networks (VANETs) Electrical and Electronic Engineering 0 works
  3. 3 Distributed systems and fault tolerance Computer Networks and Communications 0 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 0 works
  6. 6 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 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 available11.0%not open89.0%

World: 28% of research is openly available.

with international co-authors13.4%domestic only86.6%

World: 19% is written across borders.

How has AutoNetworks Technologies (Japan)'s research output changed?

Output in 2018–2022 was 51% lower than in 2013–2017.

201020152020
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 Yokkaichi

All research institutions in Yokkaichi

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.