- World rank, all time
- #32,049 of 34,923
- Rank in United States
- #6,747 of 7,310
- Research works
- 127 ▼ 51% vs 2018-21
- Citations
- 2.4k 19.3 per fractional work
- Top-10% rate
- 2.0% all institutions 10.0%
- vs its own fields
- 1.00× 1.00× is exactly expected
- Open access
- 30% world 40%
- International
- 22% world 18%
Which fields of science does Aware (United States) work in?
In all years, 82% of research at Aware (United States) is in Physical Sciences, 12% in Social Sciences. Its largest fields are Computer Science (44%), Engineering (26%), Social Sciences (6%). It does 2.0× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 21 fields, with their numbers
- Physical Sciences10481.8%
- Computer Science5643.9%
- Engineering3325.9%
- Mathematics54.1%
- Earth and Planetary Sciences53.8%
- Physics and Astronomy32.1%
- Environmental Science21.7%
- Materials Science00.1%
- Energy00.1%
- Chemical Engineering00.0%
- Social Sciences1612.4%
- Health Sciences53.6%
- Medicine42.8%
- Health Professions10.7%
- Nursing00.1%
- Life Sciences32.2%
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, 5.4×. Every wedge is a field page.
All 14 fields, with their numbers
- Computer Science5.36×4 works
- Earth and Planetary Sciences2.88×0 works
- Business, Management and Accounting2.10×1 works
- Decision Sciences2.00×0 works
- Environmental Science1.49×1 works
- Energy1.40×0 works
- Health Professions1.35×0 works
- Physics and Astronomy1.16×0 works
- Engineering1.03×1 works
- Biochemistry, Genetics and Molecular Biology0.73×0 works
- Psychology0.68×0 works
- Social Sciences0.41×0 works
- Neuroscience0.24×0 works
- Medicine0.17×0 works
- Computer Science 5.4×
- Earth and Planetary Sciences 2.9×
- Business, Management and Accounting 2.1×
- Decision Sciences 2.0×
- Environmental Science 1.5×
- Energy 1.4×
- Health Professions 1.4×
- Physics and Astronomy 1.2×
- Engineering 1.0×
- Biochemistry, Genetics and Molecular Biology 0.7×
- Psychology 0.7×
- Social Sciences 0.4×
- Neuroscience 0.2×
- Medicine 0.2×
Who are the top researchers at Aware (United States)?
Ranked on the quality score, Peter Niels Heller, M.A. Tzannes and S.D. Sandberg lead among researchers whose main affiliation is Aware (United States).
- 1
Peter Niels Heller
United States · #1,342,974 worldwide 1.7k citations · 34 works
- 2
M.A. Tzannes
United States · #2,514,378 worldwide 527 citations · 16 works
- 3
S.D. Sandberg
United States · #3,209,729 worldwide 500 citations · 15 works
- 4
John P. Stautner
United States · #3,258,730 worldwide 105 citations · 16 works
- 5
Damien M. Schiff
United States · #4,170,112 worldwide 20 citations · 16 works
Which keywords describe research at Aware (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Hyperspectral Imaging, Wavelet Transform, Convolutional Neural Networks, Image Denoising, Sparse Representations, Sparse Representation and FFT.
- fading channels
- Iterative Decoding
- Inverse Problems
- 5G Networks
- Space-Time Coding
- Channel Assignment
- Power Control
- Image Fusion
- Task Scheduling
- Grid Computing
- Signal Processing
- Resource Management
- Distributed Systems
- Video Coding
- Neural Networks
- FFT
- Sparse Representation
- Sparse Representations
- Convolutional Neural Networks
- Hyperspectral Imaging
- Deep Learning
- Wavelet Transform
- Image Denoising
- Remote Sensing
- Machine Learning
- Filter Banks
- High-Performance Computing
- Channel Estimation
- JPEG2000
- Wavelet Compression
- Resource Allocation
- Hyperspectral
- Wireless Communications
- Multispectral
- Artificial Neural Networks
- Sensor Networks
- Wireless Networks
- Backpropagation Learning
- Self-Organizing Maps
- Waveform Design
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
- Deep Learning28▲ 10×28 topics
- Hyperspectral Imaging16▲ 38×3 topics
- Wavelet Transform14▲ 59×3 topics
- Convolutional Neural Networks13▲ 25×6 topics
- Image Denoising11▲ 156×1 topic
- Sparse Representations11▲ 156×1 topic
- Remote Sensing6▲ 4.3×9 topics
- Sparse Representation6▲ 25×5 topics
- Machine Learning6▲ 2.0×16 topics
- FFT5▲ 234×1 topic
- Filter Banks5▲ 234×1 topic
- Neural Networks5▲ 3.9×8 topics
- High-Performance Computing5▲ 27×2 topics
- Video Coding5▲ 86×2 topics
- Channel Estimation5▲ 47×3 topics
- Distributed Systems5▲ 16×4 topics
- JPEG20005▲ 127×1 topic
- Resource Management5▲ 21×2 topics
- Wavelet Compression5▲ 127×1 topic
- Signal Processing4▲ 27×5 topics
- Resource Allocation4▲ 13×3 topics
- Grid Computing4▲ 45×1 topic
- Hyperspectral4▲ 48×2 topics
- Task Scheduling4▲ 45×1 topic
- Wireless Communications4▲ 19×3 topics
- Image Fusion3▲ 102×1 topic
- Multispectral3▲ 102×1 topic
- Power Control3▲ 23×3 topics
- Artificial Neural Networks3▲ 5.7×3 topics
- Channel Assignment3▲ 21×3 topics
- Sensor Networks3▲ 11×5 topics
- Space-Time Coding3▲ 26×2 topics
- Wireless Networks3▲ 10×3 topics
- 5G Networks3▲ 17×3 topics
- Backpropagation Learning3▲ 24×1 topic
- Inverse Problems3▲ 20×3 topics
- Self-Organizing Maps3▲ 24×1 topic
- Iterative Decoding3▲ 34×2 topics
- Waveform Design3▲ 60×2 topics
- fading channels2▲ 43×1 topic
Which research topics does Aware (United States) publish most on?
By volume in 2022-now: Underwater Vehicles and Communication Systems, Distributed and Parallel Computing Systems, Cloud Computing and Resource Management and Water Quality Monitoring Technologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Underwater Vehicles and Communication Systems Ocean Engineering 1 works
- 2 Distributed and Parallel Computing Systems Computer Networks and Communications 1 works
- 3 Cloud Computing and Resource Management Information Systems 0 works
- 4 Water Quality Monitoring Technologies Water Science and Technology 0 works
- 5 Distributed Control Multi-Agent Systems Computer Networks and Communications 0 works
- 6 Sparse and Compressive Sensing Techniques Computational Mechanics 0 works
- 7 Environmental Monitoring and Data Management Geology 0 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 0 works
- 9 Stochastic Gradient Optimization Techniques Artificial Intelligence 0 works
- 10 Blockchain Technology Applications and Security Information Systems 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: 40% of research is openly available.
World: 18% is written across borders.
How has Aware (United States)'s research output changed?
Output in 2022-2025 was 51% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Aware (United States) as a percentage of every work published that year, 0.000033% in 2024.
Fractional works of Aware (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Bedford
- Mitre (United States)
- Spire Corporation (United States)
- Bedford Research Foundation
- Applied Science Laboratories (United States)
- Bedford VA Research Corporation
- AspenTech (United States)
- Diversified Technologies (United States)
- iRobot (United States)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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