- Research works
- 86 ▼ 48% vs 2018-21
- Citations
- 1.2k 13.5 per fractional work
- Top-10% rate
- 7.5% all institutions 10.0%
- Open access
- 36% world 40%
- International
- 28% world 18%
Not ranked overall: Cognitive Technologies (United States) is under the volume floor below which a citation excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does Cognitive Technologies (United States) work in?
In all years, 44% of research at Cognitive Technologies (United States) is in Physical Sciences, 34% in Social Sciences. Its largest fields are Computer Science (24%), Engineering (12%), Psychology (12%). It does 1.5× the world's share of Social Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in all years. 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 19 fields, with their numbers
- Physical Sciences3844.2%
- Computer Science2023.7%
- Engineering1112.2%
- Physics and Astronomy45.0%
- Environmental Science21.9%
- Mathematics10.6%
- Energy00.4%
- Materials Science00.3%
- Earth and Planetary Sciences00.1%
- Social Sciences2933.7%
- Health Sciences1416.0%
- Medicine88.7%
- Health Professions67.3%
- Life Sciences56.0%
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: Physics and Astronomy, 10.0×. Every wedge is a field page.
All 15 fields, with their numbers
- Physics and Astronomy10.03×3 works
- Decision Sciences5.77×1 works
- Psychology4.19×2 works
- Economics, Econometrics and Finance4.17×1 works
- Neuroscience3.36×1 works
- Computer Science2.11×2 works
- Engineering0.77×2 works
- Business, Management and Accounting0.69×0 works
- Medicine0.52×2 works
- Earth and Planetary Sciences0.36×0 works
- Health Professions0.32×0 works
- Environmental Science0.30×0 works
- Biochemistry, Genetics and Molecular Biology0.21×0 works
- Mathematics0.21×0 works
- Social Sciences0.05×0 works
- Physics and Astronomy 10.0×
- Decision Sciences 5.8×
- Psychology 4.2×
- Economics, Econometrics and Finance 4.2×
- Neuroscience 3.4×
- Computer Science 2.1×
- Engineering 0.8×
- Business, Management and Accounting 0.7×
- Medicine 0.5×
- Earth and Planetary Sciences 0.4×
- Health Professions 0.3×
- Environmental Science 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Mathematics 0.2×
- Social Sciences 0.1×
Who are the top researchers at Cognitive Technologies (United States)?
Ranked on the quality score, Karen L. McGraw, Kathleen Dahlgren and Marvin S. Cohen lead among researchers whose main affiliation is Cognitive Technologies (United States).
- 1
Karen L. McGraw
United States · #2,357,980 worldwide 460 citations · 38 works
- 2
Kathleen Dahlgren
United States · #3,448,258 worldwide 416 citations · 31 works
- 3
Marvin S. Cohen
United States · #3,950,390 worldwide 803 citations · 82 works
Which keywords describe research at Cognitive Technologies (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Modeling, Decision Making, Machine Learning, Knowledge Representation, Complex Systems, Soft Systems Methodology, System Dynamics and Cognitive Architecture.
- Maintenance
- Neural Correlates
- Instructional Interventions
- Critical Thinking Skills
- Decision Support
- Planning Systems
- Predictive Maintenance
- Trust
- Automation
- Autonomous Vehicles
- Cognitive Load
- Alarm Fatigue
- Safety Climate
- System Dynamics
- Cognitive Architecture
- Complex Systems
- Knowledge Representation
- Sustainable Development
- Sustainability
- Modeling
- Machine Learning
- Decision Making
- Deep Learning
- Healthcare
- Neural Networks
- Education
- Soft Systems Methodology
- Mental Workload
- Healthcare Technology
- Clinical Alarms
- Meta-Analysis
- Medication Errors
- Driver Distraction
- Knowledge Management
- Heuristic Search
- Prediction
- Fuzzy Cognitive Maps
- Healthcare Quality
- Medical Errors
- Executive Functioning
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
- Machine Learning6▲ 3.0×21 topics
- Modeling4▲ 20×2 topics
- Decision Making4▲ 21×4 topics
- Sustainability4▲ 2.4×7 topics
- Deep Learning3▲ 1.85×18 topics
- Sustainable Development3▲ 3.4×9 topics
- Healthcare3▲ 5.2×8 topics
- Knowledge Representation3▲ 26×3 topics
- Neural Networks3▲ 3.3×11 topics
- Complex Systems3▲ 22×2 topics
- Education3▲ 2.5×6 topics
- Cognitive Architecture3▲ 89×2 topics
- Soft Systems Methodology3▲ 90×1 topic
- System Dynamics3▲ 46×1 topic
- Mental Workload3▲ 55×2 topics
- Safety Climate3▲ 40×2 topics
- Healthcare Technology2▲ 121×2 topics
- Alarm Fatigue2▲ 199×1 topic
- Clinical Alarms2▲ 199×1 topic
- Cognitive Load2▲ 70×2 topics
- Meta-Analysis2▲ 4.9×2 topics
- Autonomous Vehicles2▲ 18×2 topics
- Medication Errors2▲ 50×2 topics
- Automation2▲ 41×1 topic
- Driver Distraction2▲ 82×1 topic
- Trust2▲ 9.6×3 topics
- Knowledge Management2▲ 5.0×7 topics
- Predictive Maintenance2▲ 31×2 topics
- Heuristic Search2▲ 112×1 topic
- Planning Systems2▲ 112×1 topic
- Prediction2▲ 22×2 topics
- Decision Support2▲ 35×1 topic
- Fuzzy Cognitive Maps2▲ 130×1 topic
- Critical Thinking Skills2▲ 19×1 topic
- Healthcare Quality2▲ 17×2 topics
- Instructional Interventions2▲ 34×1 topic
- Medical Errors2▲ 56×2 topics
- Neural Correlates2▲ 21×5 topics
- Executive Functioning2▲ 16×2 topics
- Maintenance2▲ 26×1 topic
Which research topics does Cognitive Technologies (United States) publish most on?
By volume in 2022-now: Neutrino Physics Research, Particle physics theoretical and experimental studies, Noncommutative and Quantum Gravity Theories and Quantum Electrodynamics and Casimir Effect.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Neutrino Physics Research Nuclear and High Energy Physics 1 works
- 2 Particle physics theoretical and experimental studies Nuclear and High Energy Physics 1 works
- 3 Noncommutative and Quantum Gravity Theories Statistical and Nonlinear Physics 1 works
- 4 Quantum Electrodynamics and Casimir Effect Atomic and Molecular Physics, and Optics 1 works
- 5 Computational Physics and Python Applications Artificial Intelligence 1 works
- 6 Quantum and Classical Electrodynamics Atomic and Molecular Physics, and Optics 1 works
- 7 Deception detection and forensic psychology Social Psychology 1 works
- 8 Housing, Finance, and Neoliberalism Finance 0 works
- 9 Industrial Engineering and Technologies Mechanical Engineering 0 works
- 10 Transportation Systems and Logistics Civil and Structural Engineering 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: 40% of research is openly available.
World: 18% is written across borders.
How has Cognitive Technologies (United States)'s research output changed?
Output in 2022-2025 was 48% lower 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 Cognitive Technologies (United States) as a percentage of every work published that year, 0.0000060% in 2024.
Fractional works of Cognitive Technologies (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Arlington
- Marymount University
- The Nature Conservancy
- RTX (United States)
- In-Q-Tel
- Industrial Research Institute
- NatureServe
- Millennium Engineering and Integration (United States)
- International Foundation for Electoral Systems
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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