Intelligent Systems Research (United States)
In research, Intelligent Systems Research (United States) stands highest in Physical Sciences (#2,202 of 10,670 worldwide), Engineering (#1,458 of 5,901 worldwide) and Computer Science (#1,477 of 4,417 worldwide), 2022-now. 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 5.8× its share of world research).
- World rank, 2022-now
- #4,439 of 22,385 · #4,999 all time
- Rank in United States
- #615 of 3,332
- Research works
- 1.1k ▲ 335% vs 2018-21
- Citations
- 18k 16.1 per fractional work
- Top-10% rate
- 10.8% all institutions 10.0%
- vs its own fields
- 0.99× 1.00× is exactly expected
- Open access
- 44% world 40%
- International
- 60% world 18%
What is Intelligent Systems Research (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #2,202 of 10,670 | 10.5% | 317 | #2887 | |
| EngineeringField | #1,458 of 5,901 | 12.4% | 153 | #1713 | |
| Computer ScienceField | #1,477 of 4,417 | 9.8% | 122 | #1430 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Physical Sciences#2,887 #2,202
- Engineering#1,713 #1,458
- Computer Science#1,430 #1,477
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Intelligent Systems Research (United States) work in?
In 2022-now, 75% of research at Intelligent Systems Research (United States) is in Physical Sciences, 11% in Social Sciences. Its largest fields are Engineering (35%), Computer Science (28%), Medicine (6%). It does 1.9× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 25 fields, with their numbers
- Physical Sciences43474.9%
- Engineering20535.5%
- Computer Science16428.4%
- Materials Science172.9%
- Environmental Science142.4%
- Physics and Astronomy111.9%
- Energy61.0%
- Mathematics61.0%
- Earth and Planetary Sciences40.8%
- Chemistry30.6%
- Chemical Engineering30.5%
- Social Sciences6411.1%
- Social Sciences223.8%
- Psychology162.8%
- Decision Sciences111.9%
- Business, Management and Accounting101.7%
- Economics, Econometrics and Finance30.5%
- Arts and Humanities20.4%
- Health Sciences417.1%
- Medicine356.0%
- Health Professions61.0%
- Dentistry10.1%
- Nursing00.0%
- Life Sciences406.9%
What does Intelligent Systems Research (United States) specialise in?
Where its research is concentrated relative to its size: Control and Systems Engineering takes 5.8× the share of its output that it takes of world research.
- Control and Systems EngineeringSubfield · 36.6 works5.8×
- Artificial IntelligenceSubfield · 72.1 works5.2×
- Computer Vision and Pattern RecognitionSubfield · 37.0 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, 3.6×. Every wedge is a field page.
All 25 fields, with their numbers
- Computer Science3.65×164 works
- Engineering2.37×205 works
- Decision Sciences2.01×11 works
- Neuroscience1.75×16 works
- Chemical Engineering1.54×3 works
- Energy1.13×6 works
- Psychology0.93×16 works
- Mathematics0.84×6 works
- Physics and Astronomy0.83×11 works
- Materials Science0.82×17 works
- Biochemistry, Genetics and Molecular Biology0.54×17 works
- Business, Management and Accounting0.52×10 works
- Earth and Planetary Sciences0.49×4 works
- Environmental Science0.48×14 works
- Chemistry0.38×3 works
- Health Professions0.37×6 works
- Medicine0.31×34 works
- Social Sciences0.30×22 works
- Agricultural and Biological Sciences0.22×6 works
- Economics, Econometrics and Finance0.21×3 works
- Pharmacology, Toxicology and Pharmaceutics0.20×0 works
- Dentistry0.20×1 works
- Immunology and Microbiology0.14×1 works
- Arts and Humanities0.14×2 works
- Nursing0.05×0 works
- Computer Science 3.6×
- Engineering 2.4×
- Decision Sciences 2.0×
- Neuroscience 1.8×
- Chemical Engineering 1.5×
- Energy 1.1×
- Psychology 0.9×
- Mathematics 0.8×
- Physics and Astronomy 0.8×
- Materials Science 0.8×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Business, Management and Accounting 0.5×
- Earth and Planetary Sciences 0.5×
- Environmental Science 0.5×
- Chemistry 0.4×
- Health Professions 0.4×
- Medicine 0.3×
- Social Sciences 0.3×
- Agricultural and Biological Sciences 0.2×
- Economics, Econometrics and Finance 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Dentistry 0.2×
- Immunology and Microbiology 0.1×
- Arts and Humanities 0.1×
- Nursing 0.1×
Who are the top researchers at Intelligent Systems Research (United States)?
Ranked on the quality score, Akira Tsurushima and Krzysztof Pytel lead among researchers whose main affiliation is Intelligent Systems Research (United States).
- 1
Akira Tsurushima
United States · #3,586,966 worldwide 151 citations · 28 works
- 2
Krzysztof Pytel
United States · #5,411,047 worldwide 0 citations · 25 works
Which keywords describe research at Intelligent Systems Research (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Big Data, Multi-Agent Systems, Smart Grid, Robotics and Renewable Energy.
- Sensor Fusion
- Meta-Learning
- Convolutional Networks
- Deep Neural Networks
- Natural Language Processing
- Policy Gradient
- Representation Learning
- Unsupervised Learning
- Cyber-Physical Systems
- Electricity Markets
- Optimization
- Energy Management
- Game Theory
- Security
- Reinforcement Learning
- Robotics
- Multi-Agent Systems
- Artificial Intelligence
- Big Data
- Machine Learning
- Deep Learning
- Neural Networks
- Renewable Energy
- Smart Grid
- Convolutional Neural Networks
- Internet of Things
- Energy Efficiency
- Autonomous Vehicles
- Collision Avoidance
- Smart Home
- Demand Response
- Nonlinear Systems
- Surveillance
- Anomaly Detection
- Autonomous Control
- Feedback Control
- Semi-Supervised Learning
- Image Classification
- Adaptive Control
- Robotic Manipulators
Size is fractional works in 2022-now 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 Learning100▲ 5.0×77 topics
- Machine Learning70▲ 3.6×82 topics
- Neural Networks50▲ 5.6×34 topics
- Big Data24▲ 4.3×23 topics
- Renewable Energy23▲ 2.8×25 topics
- Artificial Intelligence22▲ 2.6×36 topics
- Smart Grid17▲ 7.9×9 topics
- Multi-Agent Systems16▲ 15×6 topics
- Convolutional Neural Networks14▲ 3.4×14 topics
- Robotics14▲ 9.9×8 topics
- Internet of Things14▲ 2.8×19 topics
- Reinforcement Learning14▲ 21×4 topics
- Energy Efficiency13▲ 2.5×24 topics
- Security12▲ 3.1×16 topics
- Autonomous Vehicles12▲ 10×4 topics
- Game Theory11▲ 11×4 topics
- Collision Avoidance11▲ 10×4 topics
- Energy Management10▲ 11×2 topics
- Smart Home10▲ 10×3 topics
- Optimization9▲ 3.4×19 topics
- Demand Response9▲ 17×1 topic
- Electricity Markets9▲ 17×1 topic
- Nonlinear Systems9▲ 6.8×6 topics
- Cyber-Physical Systems8▲ 5.3×7 topics
- Surveillance8▲ 5.0×4 topics
- Unsupervised Learning8▲ 8.7×3 topics
- Anomaly Detection8▲ 4.5×4 topics
- Representation Learning8▲ 8.2×3 topics
- Autonomous Control7▲ 36×1 topic
- Policy Gradient7▲ 36×1 topic
- Feedback Control7▲ 7.5×7 topics
- Natural Language Processing7▲ 5.1×7 topics
- Semi-Supervised Learning7▲ 9.6×3 topics
- Deep Neural Networks7▲ 9.4×3 topics
- Image Classification7▲ 6.2×3 topics
- Convolutional Networks7▲ 8.4×3 topics
- Adaptive Control6▲ 8.2×6 topics
- Meta-Learning6▲ 12×2 topics
- Robotic Manipulators6▲ 10×3 topics
- Sensor Fusion6▲ 9.4×3 topics
Which research topics does Intelligent Systems Research (United States) publish most on?
By volume in 2022-now: Smart Grid Energy Management, Reinforcement Learning in Robotics, Advanced Neural Network Applications and Robot Manipulation and Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Smart Grid Energy Management Electrical and Electronic Engineering 9 works
- 2 Reinforcement Learning in Robotics Artificial Intelligence 7 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 works
- 4 Robot Manipulation and Learning Control and Systems Engineering 5 works
- 5 Fault Detection and Control Systems Control and Systems Engineering 5 works
- 6 Robotics and Sensor-Based Localization Aerospace Engineering 4 works
- 7 Autonomous Vehicle Technology and Safety Automotive Engineering 4 works
- 8 Anomaly Detection Techniques and Applications Artificial Intelligence 4 works
- 9 Distributed Control Multi-Agent Systems Computer Networks and Communications 4 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 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: 40% of research is openly available.
World: 18% is written across borders.
How has Intelligent Systems Research (United States)'s research output changed?
Output in 2022-2025 was 335% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Intelligent Systems Research (United States) as a percentage of every work published that year, 0.0017% in 2024.
Fractional works of Intelligent Systems Research (United States) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 25.5% in 2002.
Other research institutions in Thousand Oaks
- Amgen (United States)
- Teledyne Technologies (United States)
- California Lutheran University
- Electronic Sensor Technology (United States)
- Los Robles Hospital & Medical Center
- Vector Test Systems (United States)
- SAGE Publishing (United States)
- LungLife AI (United States)
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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