- Research works
- 47 ▲ 421% vs 2013–17
- Citations
- 11k 223.1 per fractional work
- Top-10% rate
- 28.9% record average 16.5%
- Open access
- 48% world 28%
Not ranked overall: Magic Leap (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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.0×. Every wedge is a field page.
Who are the top researchers at Magic Leap (United States)?
Ranked on the composite score, Andrew Rabinovich lead among researchers whose main affiliation is Magic Leap (United States).
- 1 Andrew Rabinovich United States · #180,455 worldwide 10k citations · 17 works
Which keywords describe research at Magic Leap (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Technology, Convolutional Networks, Education, Virtual Reality, Grasping, Robot Learning and Visual Fatigue.
- Infrared
- Stereo Vision
- Depth Estimation
- Artificial Intelligence
- Convolutional Neural Networks
- Computer Vision
- Visual Fatigue
- Grasping
- Convolutional Networks
- Education
- Deep Learning
- Technology
- Virtual Reality
- Robot Learning
- 3D Mapping
- SLAM
- Unsupervised Learning
- Visual Attention
- Holographic Displays
- Stereoscopic Displays
- Small Target
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 21 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 21 words, with their numbers
- Deep Learning7▲ 9.1×14 topics
- Education2▲ 6.0×1 topic
- Technology2▲ 20×1 topic
- Convolutional Networks2▲ 67×2 topics
- Virtual Reality2▲ 16×4 topics
- Grasping2▲ 204×1 topic
- Robot Learning2▲ 204×1 topic
- Visual Fatigue2▲ 188×2 topics
- 3D Mapping2▲ 100×1 topic
- Computer Vision2▲ 25×2 topics
- SLAM2▲ 100×1 topic
- Convolutional Neural Networks1▲ 9.1×3 topics
- Unsupervised Learning1▲ 47×2 topics
- Artificial Intelligence1▲ 4.0×3 topics
- Visual Attention1▲ 99×2 topics
- Depth Estimation1▲ 61×1 topic
- Holographic Displays1▲ 364×1 topic
- Stereo Vision1▲ 103×1 topic
- Stereoscopic Displays1▲ 364×1 topic
- Infrared1▲ 144×1 topic
- Small Target1▲ 144×1 topic
Which research topics does Magic Leap (United States) publish most on?
By volume in 2022–2025: Augmented Reality Applications, Robot Manipulation and Learning, Robotics and Sensor-Based Localization and Advanced Optical Imaging Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Augmented Reality Applications Computer Vision and Pattern Recognition 2 works
- 2 Robot Manipulation and Learning Control and Systems Engineering 2 works
- 3 Robotics and Sensor-Based Localization Aerospace Engineering 2 works
- 4 Advanced Optical Imaging Technologies Media Technology 1 works
- 5 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
- 6 Infrared Target Detection Methodologies Aerospace Engineering 1 works
- 7 Human Pose and Action Recognition Computer Vision and Pattern Recognition 1 works
- 8 Image and Object Detection Techniques Computer Vision and Pattern Recognition 1 works
- 9 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 10 Visual perception and processing mechanisms Cognitive Neuroscience 1 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Magic Leap (United States)'s research output changed?
Output in 2018–2022 was 421% higher than in 2013–2017.
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 Plantation
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.