Dependable Computing (United States)
In research, Dependable Computing (United States) stands highest in Physical Sciences (#16,613 of 21,541 worldwide), over all time.
- World rank, all time
- #30,641 of 42,892
- Rank in United States
- #6,559 of 8,685
- Research works
- 133 ▼ 37% vs 2013–17
- Citations
- 3k 22.8 per fractional work
- Top-10% rate
- 0.0% record average 16.5%
- Open access
- 20% world 28%
What is Dependable Computing (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 | #16,613 of 21,541 | 30.6% | 123 |
Each strip is that field’s whole ranked pool, with the notch where Dependable Computing (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.
Which keywords describe research at Dependable Computing (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Distributed Systems, Machine Learning, Fault Tolerance, Deep Learning, Embedded Systems, Anomaly Detection, Content Delivery and Intrusion Detection.
- GPU Computing
- Optical Networks
- Elastic Optical Networks
- Reconfigurable Computing
- CMOS Technology
- Network Security
- DDoS Attacks
- Peer-to-Peer
- Resource Allocation
- Internet Applications
- Data Mining
- High-Performance Computing
- Parallel Computing
- Transactional Memory
- Routing Protocols
- Wireless Networks
- Intrusion Detection
- Embedded Systems
- Fault Tolerance
- Machine Learning
- Distributed Systems
- Deep Learning
- Anomaly Detection
- Content Delivery
- IoT Security
- Energy Efficiency
- Consistency
- Model-Based Development
- Cybersecurity
- Neural Network
- Architecture-Based Approach
- Software Reliability Modeling
- Risk Assessment
- Scalable
- FPGA
- Data Aggregation
- High-Level Synthesis
- Assurance Cases
- Model Checking
- Safety Assurance
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
- Distributed Systems16▲ 48×6 topics
- Machine Learning14▲ 4.9×20 topics
- Deep Learning11▲ 4.0×14 topics
- Fault Tolerance11▲ 41×4 topics
- Anomaly Detection8▲ 35×4 topics
- Embedded Systems8▲ 62×3 topics
- Content Delivery7▲ 85×2 topics
- Intrusion Detection7▲ 56×4 topics
- IoT Security7▲ 32×3 topics
- Wireless Networks7▲ 24×4 topics
- Energy Efficiency7▲ 6.7×5 topics
- Routing Protocols7▲ 64×2 topics
- Consistency6▲ 117×1 topic
- Transactional Memory6▲ 117×1 topic
- Model-Based Development6▲ 116×2 topics
- Parallel Computing6▲ 25×2 topics
- Cybersecurity6▲ 33×2 topics
- High-Performance Computing6▲ 28×2 topics
- Neural Network5▲ 14×3 topics
- Data Mining5▲ 8.1×4 topics
- Architecture-Based Approach5▲ 116×1 topic
- Internet Applications5▲ 66×2 topics
- Software Reliability Modeling5▲ 116×1 topic
- Resource Allocation5▲ 15×3 topics
- Risk Assessment5▲ 5.8×3 topics
- Peer-to-Peer4▲ 129×1 topic
- Scalable4▲ 129×1 topic
- DDoS Attacks4▲ 51×1 topic
- FPGA4▲ 39×2 topics
- Network Security4▲ 47×1 topic
- Data Aggregation4▲ 54×2 topics
- CMOS Technology4▲ 26×2 topics
- High-Level Synthesis4▲ 74×1 topic
- Reconfigurable Computing4▲ 66×1 topic
- Assurance Cases4▲ 420×1 topic
- Elastic Optical Networks4▲ 109×1 topic
- Model Checking4▲ 28×3 topics
- Optical Networks4▲ 109×1 topic
- Safety Assurance4▲ 420×1 topic
- GPU Computing4▲ 42×1 topic
Which research topics does Dependable Computing (United States) publish most on?
By volume in 2022–2025: Model-Driven Software Engineering Techniques, Adversarial Robustness in Machine Learning, Advanced Memory and Neural Computing and Digital Transformation in Industry.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Model-Driven Software Engineering Techniques Software 1 works
- 2 Adversarial Robustness in Machine Learning Artificial Intelligence 0 works
- 3 Advanced Memory and Neural Computing Electrical and Electronic Engineering 0 works
- 4 Digital Transformation in Industry Industrial and Manufacturing Engineering 0 works
- 5 Advanced Malware Detection Techniques Signal Processing 0 works
- 6 Software Testing and Debugging Techniques Software 0 works
- 7 Organizational and Employee Performance Artificial Intelligence 0 works
- 8 Educational Leadership and Innovation Education 0 works
- 9 Software Reliability and Analysis Research Software 0 works
- 10 Risk and Safety Analysis Statistics, Probability and Uncertainty 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 Dependable Computing (United States)'s research output changed?
Output in 2018–2022 was 37% 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 Charlottesville
- University of Virginia
- University of Virginia Health System
- National Radio Astronomy Observatory
- University of Virginia Medical Center
- Charlottesville Medical Research
- CFA Institute
- Center for Open Science
- University of Virginia Hospital
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.