Signal Systems Corporation (United States)
In research, Signal Systems Corporation (United States) stands highest in Physical Sciences (#11,272 of 21,541 worldwide), over all time.
- World rank, all time
- #20,705 of 42,892
- Rank in United States
- #4,481 of 8,685
- Research works
- 205 ▼ 3% vs 2013–17
- Citations
- 2.8k 13.8 per fractional work
- Top-10% rate
- 2.6% record average 16.5%
- Open access
- 12% world 28%
What is Signal Systems Corporation (United States) 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 | #11,272 of 21,541 | 22.2% | 177 |
Each strip is that field’s whole ranked pool, with the notch where Signal Systems Corporation (United States) 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).
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, 7.1×. Every wedge is a field page.
Who are the top researchers at Signal Systems Corporation (United States)?
Ranked on the composite score, H.J. Riblet lead among researchers whose main affiliation is Signal Systems Corporation (United States).
- 1 H.J. Riblet United States · #293,358 worldwide 94 citations · 20 works
Which keywords describe research at Signal Systems Corporation (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Artificial Neural Networks, Neural Networks, Deep Learning, Frequency Conversion, Semiconductor Lasers, Remote Sensing, Sparse Representation and Biosensor Applications.
- Optimal Control
- Hyperspectral
- Trajectory Optimization
- SCR Devices
- Wavelet Transform
- CMOS Technology
- Simulation
- Beamforming
- IEEE 1451
- Thin Film Resonators
- Self-Organizing Maps
- Acoustic Wave Biosensors
- Raman Lasers
- Spectroscopy
- Microwave Filters
- Biosensor Applications
- Semiconductor Lasers
- Frequency Conversion
- Machine Learning
- Neural Networks
- Deep Learning
- Artificial Neural Networks
- Remote Sensing
- Nanoparticles
- Sparse Representation
- High-Frequency Applications
- Substrate Integrated Waveguide
- Optical Interconnects
- Vertical-Cavity Surface-Emitting Lasers (VCSELs)
- Backpropagation Learning
- Smart Grid
- Channel Modeling
- Smart Sensors
- Optical Modulators
- Modeling
- Detection
- ESD Protection
- Thermal Behavior
- Electric Discharge
- Laser Oscillation
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 Learning14▲ 3.2×23 topics
- Neural Networks12▲ 5.4×11 topics
- Artificial Neural Networks11▲ 13×4 topics
- Machine Learning8▲ 1.83×22 topics
- Remote Sensing6▲ 2.9×13 topics
- Frequency Conversion6▲ 28×3 topics
- Nanoparticles5▲ 1.81×10 topics
- Semiconductor Lasers5▲ 23×2 topics
- Sparse Representation4▲ 11×6 topics
- Biosensor Applications4▲ 15×2 topics
- High-Frequency Applications4▲ 27×2 topics
- Microwave Filters4▲ 27×1 topic
- Substrate Integrated Waveguide4▲ 27×1 topic
- Spectroscopy4▲ 5.6×7 topics
- Optical Interconnects4▲ 22×1 topic
- Raman Lasers4▲ 10×2 topics
- Vertical-Cavity Surface-Emitting Lasers (VCSELs)4▲ 22×1 topic
- Acoustic Wave Biosensors4▲ 34×1 topic
- Backpropagation Learning4▲ 19×1 topic
- Self-Organizing Maps4▲ 19×1 topic
- Smart Grid4▲ 5.9×4 topics
- Thin Film Resonators4▲ 34×1 topic
- Channel Modeling3▲ 16×5 topics
- IEEE 14513▲ 41×1 topic
- Smart Sensors3▲ 21×1 topic
- Beamforming3▲ 15×3 topics
- Optical Modulators3▲ 7.7×2 topics
- Simulation3▲ 4.7×5 topics
- Modeling3▲ 5.9×4 topics
- CMOS Technology3▲ 12×2 topics
- Detection3▲ 4.9×5 topics
- Wavelet Transform3▲ 7.1×5 topics
- ESD Protection3▲ 68×1 topic
- SCR Devices3▲ 68×1 topic
- Thermal Behavior3▲ 19×2 topics
- Trajectory Optimization2▲ 37×2 topics
- Electric Discharge2▲ 30×1 topic
- Hyperspectral2▲ 18×2 topics
- Laser Oscillation2▲ 30×1 topic
- Optimal Control2▲ 14×2 topics
Which research topics does Signal Systems Corporation (United States) publish most on?
By volume in 2022–2025: Anomaly Detection Techniques and Applications, Blockchain Technology Applications and Security, Psychosocial Factors Impacting Youth and Network Security and Intrusion Detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 2 Blockchain Technology Applications and Security Information Systems 0 works
- 3 Psychosocial Factors Impacting Youth Sociology and Political Science 0 works
- 4 Network Security and Intrusion Detection Computer Networks and Communications 0 works
- 5 Advanced Data Compression Techniques Computer Vision and Pattern Recognition 0 works
- 6 Image and Video Quality Assessment Computer Vision and Pattern Recognition 0 works
- 7 Atmospheric chemistry and aerosols Atmospheric Science 0 works
- 8 IoT Networks and Protocols Electrical and Electronic Engineering 0 works
- 9 Augmented Reality Applications Computer Vision and Pattern Recognition 0 works
- 10 Visual Attention and Saliency Detection Computer Vision and Pattern Recognition 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 Signal Systems Corporation (United States)'s research output changed?
Output in 2018–2022 was 3% 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 Maryland City
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.