- Research works
- 27 ▼ 49% vs 2013–17
- Citations
- 186 7.0 per fractional work
- Top-10% rate
- 18.1% record average 16.5%
- Open access
- 60% world 28%
Not ranked overall: Quantum Signal (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: Physics and Astronomy, 11.1×. Every wedge is a field page.
Who are the top researchers at Quantum Signal (United States)?
Ranked on the composite score, Pasquale Camelia lead among researchers whose main affiliation is Quantum Signal (United States).
- 1 Pasquale Camelia United States · #1,530,430 worldwide 0 citations · 36 works
Which keywords describe research at Quantum Signal (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Autonomous Vehicles, Nanoparticle Superlattices, Quasicrystals, Archaeology, Collision Avoidance and Convolutional Neural Networks.
- Matrix Computations
- Linguistics
- Control Systems
- Design for Manufacture
- Collision Avoidance
- Archaeology
- Nanoparticle Superlattices
- Machine Learning
- Deep Learning
- Autonomous Vehicles
- Quasicrystals
- Assembly Planning
- Convolutional Neural Networks
- Ancient Egypt
- Historical Sources
- Mathematics Education
- Numerical Linear Algebra
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 17 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 17 words, with their numbers
- Deep Learning3▲ 5.2×13 topics
- Machine Learning3▲ 4.7×8 topics
- Autonomous Vehicles2▲ 50×4 topics
- Nanoparticle Superlattices2▲ 601×1 topic
- Quasicrystals2▲ 601×1 topic
- Archaeology1▲ 29×2 topics
- Assembly Planning1▲ 48×1 topic
- Collision Avoidance1▲ 36×2 topics
- Convolutional Neural Networks1▲ 9.9×6 topics
- Design for Manufacture1▲ 48×1 topic
- Ancient Egypt1▲ 400×1 topic
- Control Systems1▲ 15×2 topics
- Historical Sources1▲ 122×1 topic
- Linguistics1▲ 31×1 topic
- Mathematics Education1▲ 66×1 topic
- Matrix Computations1▲ 82×1 topic
- Numerical Linear Algebra1▲ 82×1 topic
Which research topics does Quantum Signal (United States) publish most on?
By volume in 2022–2025: Quasicrystal Structures and Properties, Matrix Theory and Algorithms, Ancient Egypt and Archaeology and History and Theory of Mathematics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Quasicrystal Structures and Properties Materials Chemistry 2 works
- 2 Matrix Theory and Algorithms Computational Theory and Mathematics 1 works
- 3 Ancient Egypt and Archaeology Archeology 1 works
- 4 History and Theory of Mathematics Theoretical Computer Science 1 works
- 5 Quantum Mechanics and Applications Atomic and Molecular Physics, and Optics 1 works
- 6 Model Reduction and Neural Networks Statistical and Nonlinear Physics 1 works
- 7 Quantum and Classical Electrodynamics Atomic and Molecular Physics, and Optics 1 works
- 8 Noncommutative and Quantum Gravity Theories Statistical and Nonlinear Physics 1 works
- 9 Vehicle Dynamics and Control Systems Automotive Engineering 0 works
- 10 Assembly Line Balancing Optimization Industrial and Manufacturing Engineering 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.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Quantum Signal (United States)'s research output changed?
Output in 2018–2022 was 49% lower 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 Saline
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.