- Research works
- 23 ▼ 78% vs 2013–17
- Citations
- 589 25.8 per fractional work
- Top-10% rate
- 0.0% record average 16.5%
- Open access
- 21% world 28%
Not ranked overall: Sensys Networks (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.
Which keywords describe research at Sensys Networks (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Intelligent Transportation Systems, Traffic Flow, Neural Networks, Urban Traffic, Wireless Sensor Networks, Short-Term Forecasting and Spatio-Temporal Data.
- Well Integrity
- Ionization
- Surface Characterization
- Machine Learning
- Cooperative Adaptive Cruise Control
- Image Processing
- Spatio-Temporal Data
- Wireless Sensor Networks
- Neural Networks
- Intelligent Transportation Systems
- Deep Learning
- Traffic Flow
- Urban Traffic
- Short-Term Forecasting
- Sensors
- Nanoparticles
- Microscopic Simulation
- Roughness Measurement
- Drilling Fluids
- Mass Spectrometry
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 20 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 20 words, with their numbers
- Deep Learning5▲ 10×10 topics
- Intelligent Transportation Systems4▲ 213×3 topics
- Traffic Flow4▲ 255×2 topics
- Neural Networks3▲ 13×3 topics
- Urban Traffic3▲ 204×2 topics
- Wireless Sensor Networks2▲ 29×4 topics
- Short-Term Forecasting2▲ 154×1 topic
- Spatio-Temporal Data2▲ 316×1 topic
- Sensors2▲ 48×2 topics
- Image Processing1▲ 19×2 topics
- Nanoparticles1▲ 4.4×2 topics
- Cooperative Adaptive Cruise Control1▲ 182×1 topic
- Microscopic Simulation1▲ 182×1 topic
- Machine Learning1▲ 2.2×3 topics
- Roughness Measurement1▲ 165×1 topic
- Surface Characterization1▲ 120×1 topic
- Drilling Fluids1▲ 84×1 topic
- Ionization1▲ 57×1 topic
- Mass Spectrometry1▲ 21×1 topic
- Well Integrity1▲ 84×1 topic
Which research topics does Sensys Networks (United States) publish most on?
By volume in 2022–2025: Reservoir Engineering and Simulation Methods, Time Series Analysis and Forecasting, Wireless Body Area Networks and Oil and Gas Production Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Reservoir Engineering and Simulation Methods Ocean Engineering 0 works
- 2 Time Series Analysis and Forecasting Signal Processing 0 works
- 3 Wireless Body Area Networks Biomedical Engineering 0 works
- 4 Oil and Gas Production Techniques Ocean Engineering 0 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 0 works
- 6 Mining Techniques and Economics Control and Systems Engineering 0 works
- 7 Molecular Communication and Nanonetworks Biomedical Engineering 0 works
- 8 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 9 ECG Monitoring and Analysis Cardiology and Cardiovascular Medicine 0 works
- 10 Supercapacitor Materials and Fabrication Electronic, Optical and Magnetic Materials 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 Sensys Networks (United States)'s research output changed?
Output in 2018–2022 was 78% 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 Berkeley
- University of California, Berkeley
- Lawrence Berkeley National Laboratory
- Neurobehavioral Systems
- Mathematical Sciences Research Institute
- Plant (United States)
- Department of Health Services
- Museum of Vertebrate Zoology
- International Computer Science Institute
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.