Research in Ridgefield Park
Science Explorer records 1 research institutions in Ridgefield Park, United States. The highest-ranked on research quality in 2022–2025 are Samsung (United States).
- Research institutions
- 1 1 of them ranked worldwide
- Research works
- 2.5k ▼ 16% vs 2013–17
- Top-10% rate, 2022–2025
- 16.5% record average 16.5%
A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.
Which research institutions are in Ridgefield Park?
| # | Institution | Works | Against the largest here | World rank |
|---|---|---|---|---|
| 1 | Samsung (United States)Company | 2,453 | #5,557 |
By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.
What is Ridgefield Park strongest at in research?
Relative to its size, research in Ridgefield Park is most concentrated in Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering (11.1× the world share in Computer Vision and Pattern Recognition).
- Computer Vision and Pattern RecognitionSubfield · 51.7 works11×
- Computer Networks and CommunicationsSubfield · 24.8 works7.5×
- Electrical and Electronic EngineeringSubfield · 88.0 works6.7×
- Computer ScienceField · 153.4 works5.3×
Location quotient against the world baseline. Inside a single field a city is a meaningful unit, which is why this is where a city is measured at all.
Which keywords describe research in Ridgefield Park?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Energy Efficiency, Beamforming, Wireless Networks, Unsupervised Learning and Integrated Circuits.
- Transfer Learning
- Semi-Supervised Learning
- Millimeter Wave
- CMOS
- Image Recognition
- Image Classification
- Computer Vision
- Resource Allocation
- 5G
- Interference Alignment
- Cellular Networks
- Representation Learning
- Heterogeneous Networks
- Spectral Efficiency
- Wireless Communications
- Massive MIMO
- Unsupervised Learning
- Beamforming
- Energy Efficiency
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Wireless Networks
- Integrated Circuits
- Convolutional Networks
- Parallel Computing
- Wearable Sensors
- Channel Estimation
- Channel Modeling
- Frequency Synthesizer
- MIMO Systems
- High-Performance Computing
- Heart Rate Variability
- Iterative Decoding
- Communications
- Object Detection
- Hybrid Precoding
- Meta-Learning
- Space-Time Coding
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this city'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 Learning83▲ 6.5×60 topics
- Neural Networks38▲ 6.7×25 topics
- Convolutional Neural Networks17▲ 6.2×9 topics
- Energy Efficiency17▲ 4.8×11 topics
- Machine Learning16▲ 1.36×41 topics
- Beamforming13▲ 33×4 topics
- Wireless Networks13▲ 23×8 topics
- Unsupervised Learning13▲ 24×3 topics
- Integrated Circuits12▲ 20×3 topics
- Massive MIMO12▲ 38×3 topics
- Convolutional Networks11▲ 22×3 topics
- Wireless Communications10▲ 16×5 topics
- Parallel Computing10▲ 22×2 topics
- Spectral Efficiency9▲ 37×2 topics
- Wearable Sensors9▲ 21×3 topics
- Heterogeneous Networks9▲ 25×2 topics
- Channel Estimation9▲ 28×4 topics
- Representation Learning9▲ 17×3 topics
- Channel Modeling9▲ 19×6 topics
- Cellular Networks8▲ 46×1 topic
- Frequency Synthesizer8▲ 56×2 topics
- Interference Alignment8▲ 46×1 topic
- MIMO Systems8▲ 28×3 topics
- 5G8▲ 38×3 topics
- High-Performance Computing7▲ 24×2 topics
- Resource Allocation7▲ 11×7 topics
- Heart Rate Variability7▲ 17×2 topics
- Computer Vision7▲ 7.1×3 topics
- Iterative Decoding7▲ 75×2 topics
- Image Classification7▲ 11×2 topics
- Communications7▲ 55×2 topics
- Image Recognition7▲ 13×1 topic
- Object Detection7▲ 14×1 topic
- CMOS6▲ 35×2 topics
- Hybrid Precoding6▲ 60×1 topic
- Millimeter Wave6▲ 60×1 topic
- Meta-Learning6▲ 21×2 topics
- Semi-Supervised Learning6▲ 16×3 topics
- Space-Time Coding6▲ 47×2 topics
- Transfer Learning6▲ 8.8×2 topics
What research is done in Ridgefield Park?
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 8 works
- 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 7 works
- 3 Millimeter-Wave Propagation and Modeling Electrical and Electronic Engineering 6 works
- 4 Radio Frequency Integrated Circuit Design Electrical and Electronic Engineering 6 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
- 6 Non-Invasive Vital Sign Monitoring Biomedical Engineering 6 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 6 works
- 8 Parallel Computing and Optimization Techniques Hardware and Architecture 6 works
- 9 Topic Modeling Artificial Intelligence 5 works
- 10 Advanced Wireless Communication Techniques Electrical and Electronic Engineering 5 works
Research output over time
The same series as a ribbon — one cell per year, darker for more.