Sarnoff Cardiovascular Research Foundation
In research, Sarnoff Cardiovascular Research Foundation stands highest in Physical Sciences (#16,708 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Electrical and Electronic Engineering — Computer Vision and Pattern Recognition is 17.6× its share of world research.
- World rank, all time
- #30,308 of 42,892
- Rank in United States
- #6,497 of 8,685
- Research works
- 141 ▼ 80% vs 2013–17
- Citations
- 4k 28.4 per fractional work
- Top-10% rate
- 100.0% record average 16.5%
- Open access
- 2% world 28%
What is Sarnoff Cardiovascular Research Foundation known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #16,708 of 21,541 | 13.3% | 127 |
Each strip is that field’s whole ranked pool, with the notch where Sarnoff Cardiovascular Research Foundation sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Sarnoff Cardiovascular Research Foundation specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 17.6× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 25.0 works18×
- Electrical and Electronic EngineeringSubfield · 41.2 works8.1×
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 Sarnoff Cardiovascular Research Foundation?
Ranked on the composite score, Peter J. Burt lead among researchers whose main affiliation is Sarnoff Cardiovascular Research Foundation.
- 1 Peter J. Burt United States · #256,893 worldwide 882 citations · 15 works
Which keywords describe research at Sarnoff Cardiovascular Research Foundation?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Sparse Representation, Hyperspectral Imaging, Optical Interconnects, Semiconductor Lasers, Video Coding, Integrated Circuits and Photon Counting.
- High Efficiency Video Coding (HEVC)
- Stereo Vision
- Unsupervised Learning
- Image Denoising
- Optical Modulators
- JPEG2000
- Machine Vision
- Single-Photon Source
- Low-Noise Sensors
- Raman Lasers
- Band Parameters
- High-Speed Imaging
- Convolutional Neural Networks
- Infrared
- Depth Estimation
- Neural Networks
- Photon Counting
- Video Coding
- Optical Interconnects
- Sparse Representation
- Deep Learning
- Hyperspectral Imaging
- Semiconductor Lasers
- Integrated Circuits
- Detection
- Wavelet Transform
- Semiconductor
- Small Target
- Biosensors
- Nanowires
- Photovoltaics
- CMOS Image Sensors
- Quantum Dots
- Convolutional Networks
- Image Processing
- Wavelet Compression
- Silicon Photonics
- Sparse Representations
- Optical Flow
- H.264/AVC
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 Learning21▲ 7.0×20 topics
- Sparse Representation10▲ 39×4 topics
- Hyperspectral Imaging10▲ 22×3 topics
- Optical Interconnects9▲ 85×1 topic
- Semiconductor Lasers9▲ 70×1 topic
- Video Coding8▲ 127×2 topics
- Integrated Circuits7▲ 22×3 topics
- Photon Counting7▲ 67×2 topics
- Detection7▲ 17×2 topics
- Neural Networks7▲ 4.6×6 topics
- Wavelet Transform7▲ 24×3 topics
- Depth Estimation7▲ 49×2 topics
- Semiconductor6▲ 14×4 topics
- Infrared6▲ 152×1 topic
- Small Target6▲ 152×1 topic
- Convolutional Neural Networks6▲ 11×6 topics
- Biosensors6▲ 7.7×3 topics
- High-Speed Imaging6▲ 36×3 topics
- Nanowires6▲ 19×3 topics
- Band Parameters6▲ 34×2 topics
- Photovoltaics6▲ 17×2 topics
- Raman Lasers6▲ 25×2 topics
- CMOS Image Sensors6▲ 152×1 topic
- Low-Noise Sensors6▲ 152×1 topic
- Quantum Dots6▲ 25×1 topic
- Single-Photon Source6▲ 50×1 topic
- Convolutional Networks5▲ 33×3 topics
- Machine Vision5▲ 20×4 topics
- Image Processing5▲ 11×6 topics
- JPEG20005▲ 121×1 topic
- Wavelet Compression5▲ 121×1 topic
- Optical Modulators5▲ 17×1 topic
- Silicon Photonics5▲ 22×1 topic
- Image Denoising5▲ 60×1 topic
- Sparse Representations5▲ 60×1 topic
- Unsupervised Learning4▲ 28×2 topics
- Optical Flow4▲ 42×1 topic
- Stereo Vision4▲ 42×1 topic
- H.264/AVC3▲ 137×1 topic
- High Efficiency Video Coding (HEVC)3▲ 137×1 topic
Which research topics does Sarnoff Cardiovascular Research Foundation publish most on?
By volume in 2022–2025: Atherosclerosis and Cardiovascular Diseases, interferon and immune responses and Chemokine receptors and signaling.
- 1 Atherosclerosis and Cardiovascular Diseases Immunology 0 works
- 2 interferon and immune responses Immunology 0 works
- 3 Chemokine receptors and signaling Oncology 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 Sarnoff Cardiovascular Research Foundation's research output changed?
Output in 2018–2022 was 80% 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 Great Falls
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.