Intelligent Systems Research (United States)
In research, Intelligent Systems Research (United States) stands highest in Engineering (#3,006 of 6,636 worldwide), Computer Science (#2,139 of 4,667 worldwide) and Physical Sciences (#6,055 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition — Control and Systems Engineering is 5.7× its share of world research.
- World rank, 2022–2025
- #8,070 of 28,054 · #12,379 all time
- Rank in United States
- #1,072 of 4,192
- Research works
- 1.1k ▲ 41% vs 2013–17
- Citations
- 18k 16.1 per fractional work
- Top-10% rate
- 17.8% record average 16.5%
- Open access
- 44% world 28%
What is Intelligent Systems Research (United States) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #3,006 of 6,636 | 17.1% | 153 | #4226 | |
| Computer ScienceField | #2,139 of 4,667 | 16.4% | 122 | #2394 | |
| Physical SciencesDomain | #6,055 of 12,888 | 16.8% | 317 | #8695 |
Each strip is that field’s whole ranked pool, with the notch where Intelligent Systems Research (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).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Engineering#4,226 #3,006
- Computer Science#2,394 #2,139
- Physical Sciences#8,695 #6,055
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Intelligent Systems Research (United States) specialise in?
Where its research is concentrated relative to its size: Control and Systems Engineering takes 5.7× the share of its output that it takes of world research.
- Control and Systems EngineeringSubfield · 26.3 works5.7×
- Artificial IntelligenceSubfield · 54.5 works5.3×
- Computer Vision and Pattern RecognitionSubfield · 27.0 works5.1×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 3.7×. Every wedge is a field page.
- Computer Science 3.7×
- Engineering 2.4×
- Decision Sciences 1.7×
- Neuroscience 1.7×
- Chemical Engineering 1.4×
- Energy 1.2×
- Psychology 0.8×
- Mathematics 0.7×
- Physics and Astronomy 0.7×
- Materials Science 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Earth and Planetary Sciences 0.5×
- Environmental Science 0.5×
- Business, Management and Accounting 0.5×
- Health Professions 0.4×
- Chemistry 0.4×
- Medicine 0.3×
- Social Sciences 0.3×
- Agricultural and Biological Sciences 0.3×
- Economics, Econometrics and Finance 0.2×
- Dentistry 0.2×
- Immunology and Microbiology 0.2×
- Arts and Humanities 0.1×
- Nursing 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
Which keywords describe research at Intelligent Systems Research (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Big Data, Smart Grid, Renewable Energy, Artificial Intelligence and Multi-Agent Systems.
- Meta-Learning
- Semi-Supervised Learning
- Deep Neural Networks
- Time Series
- Model Predictive Control
- Surveillance
- Electric Vehicles
- Medical Imaging
- Optimization
- Demand Response
- Reinforcement Learning
- Smart Home
- Energy Management
- Energy Efficiency
- Healthcare
- Multi-Agent Systems
- Sustainability
- Artificial Intelligence
- Big Data
- Machine Learning
- Deep Learning
- Neural Networks
- Renewable Energy
- Smart Grid
- Internet of Things
- Security
- Convolutional Neural Networks
- Autonomous Vehicles
- Game Theory
- Robotics
- Collision Avoidance
- Electricity Markets
- Cyber-Physical Systems
- Artificial Neural Networks
- Natural Language Processing
- Renewable Energy Integration
- Sensor Networks
- Unsupervised Learning
- Representation Learning
- Time Series Analysis
Size is fractional works in 2022–2025 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 Learning73▲ 5.0×76 topics
- Machine Learning54▲ 3.9×77 topics
- Neural Networks36▲ 5.5×33 topics
- Big Data20▲ 5.2×23 topics
- Renewable Energy19▲ 3.0×21 topics
- Artificial Intelligence18▲ 3.1×32 topics
- Smart Grid15▲ 9.1×9 topics
- Sustainability14▲ 1.40×21 topics
- Internet of Things12▲ 3.3×18 topics
- Multi-Agent Systems11▲ 14×6 topics
- Security11▲ 3.9×16 topics
- Healthcare10▲ 2.1×11 topics
- Convolutional Neural Networks10▲ 3.2×13 topics
- Energy Efficiency10▲ 2.4×22 topics
- Autonomous Vehicles9▲ 10×4 topics
- Energy Management9▲ 12×2 topics
- Game Theory8▲ 12×3 topics
- Smart Home8▲ 12×3 topics
- Robotics8▲ 8.1×6 topics
- Reinforcement Learning8▲ 17×4 topics
- Collision Avoidance8▲ 9.9×4 topics
- Demand Response7▲ 19×1 topic
- Electricity Markets7▲ 19×1 topic
- Optimization7▲ 3.7×18 topics
- Cyber-Physical Systems7▲ 6.5×6 topics
- Medical Imaging7▲ 3.2×7 topics
- Artificial Neural Networks7▲ 3.4×8 topics
- Electric Vehicles6▲ 5.2×4 topics
- Natural Language Processing6▲ 6.4×7 topics
- Surveillance6▲ 5.6×4 topics
- Renewable Energy Integration6▲ 4.2×4 topics
- Model Predictive Control6▲ 5.1×5 topics
- Sensor Networks6▲ 5.3×6 topics
- Time Series5▲ 6.9×3 topics
- Unsupervised Learning5▲ 8.7×3 topics
- Deep Neural Networks5▲ 11×3 topics
- Representation Learning5▲ 8.8×3 topics
- Semi-Supervised Learning5▲ 10×3 topics
- Time Series Analysis5▲ 6.7×5 topics
- Meta-Learning4▲ 12×2 topics
Which research topics does Intelligent Systems Research (United States) publish most on?
By volume in 2022–2025: Smart Grid Energy Management, Reinforcement Learning in Robotics, Fault Detection and Control Systems and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Grid Energy Management Electrical and Electronic Engineering 7 works
- 2 Reinforcement Learning in Robotics Artificial Intelligence 4 works
- 3 Fault Detection and Control Systems Control and Systems Engineering 4 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 4 works
- 5 Anomaly Detection Techniques and Applications Artificial Intelligence 4 works
- 6 Digital Transformation in Industry Industrial and Manufacturing Engineering 3 works
- 7 Explainable Artificial Intelligence (XAI) Artificial Intelligence 3 works
- 8 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 9 Robot Manipulation and Learning Control and Systems Engineering 3 works
- 10 EEG and Brain-Computer Interfaces Cognitive Neuroscience 3 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 Intelligent Systems Research (United States)'s research output changed?
Output in 2018–2022 was 41% higher 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 Thousand Oaks
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- SAGE Publishing (United States)
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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.