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Company · Charlotte · United States

Sandbox Learning (United States)

Research works
7
fractional, all time
Citations
37
5.0 per fractional work
Top-10% rate
45.7%
record average 16.5%
Open access
81%
world 28%

Not ranked overall: Sandbox Learning (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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 research topics does Sandbox Learning (United States) publish most on?

By volume in 2022–2025: Domain Adaptation and Few-Shot Learning, Reinforcement Learning in Robotics, Neural dynamics and brain function and Advanced Steganography and Watermarking Techniques.

  1. 1 Domain Adaptation and Few-Shot Learning Artificial Intelligence 0 works
  2. 2 Reinforcement Learning in Robotics Artificial Intelligence 0 works
  3. 3 Neural dynamics and brain function Cognitive Neuroscience 0 works
  4. 4 Advanced Steganography and Watermarking Techniques Computer Vision and Pattern Recognition 0 works
  5. 5 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 0 works
  6. 6 Coding theory and cryptography Artificial Intelligence 0 works
  7. 7 Cryptography and Data Security 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 available80.9%not open19.1%

World: 28% of research is openly available.

with international co-authors12.4%domestic only87.6%

World: 19% is written across borders.

Other research institutions in Charlotte

All research institutions in Charlotte

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.