Intelligent Automation (United States)
In research, Intelligent Automation (United States) stands highest in Physical Sciences (#5,606 of 17,446 worldwide), Engineering (#3,084 of 9,532 worldwide) and Computer Science (#2,443 of 6,336 worldwide), over all time. Relative to its size it is most specialised in Engineering (Engineering is 3.1× its share of world research).
- World rank, all time
- #16,633 of 34,923
- Rank in United States
- #3,456 of 7,310
- Research works
- 535 ▼ 50% vs 2018-21
- Citations
- 9.4k 17.6 per fractional work
- Top-10% rate
- 8.7% all institutions 10.0%
- vs its own fields
- 0.90× 1.00× is exactly expected
- Open access
- 21% world 40%
- International
- 13% world 18%
What is Intelligent Automation (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 | #5,606 of 17,446 | 12.2% | 473 | |
| EngineeringField | #3,084 of 9,532 | 14.2% | 245 | |
| Computer ScienceField | #2,443 of 6,336 | 10.9% | 199 |
Each strip is that field's whole ranked pool, with the notch where Intelligent Automation (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 fields of science does Intelligent Automation (United States) work in?
In 2022-now, 80% of research at Intelligent Automation (United States) is in Physical Sciences, 9% in Social Sciences. Its largest fields are Engineering (46%), Computer Science (19%), Materials Science (4%). 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 20 fields, with their numbers
- Physical Sciences3680.3%
- Engineering2146.3%
- Computer Science919.4%
- Materials Science23.7%
- Physics and Astronomy13.2%
- Earth and Planetary Sciences12.9%
- Energy11.6%
- Chemical Engineering11.3%
- Environmental Science01.0%
- Chemistry00.8%
- Social Sciences49.1%
- Health Sciences36.0%
- Medicine13.1%
- Health Professions12.9%
- Life Sciences24.7%
What does Intelligent Automation (United States) specialise in?
Where its research is concentrated relative to its size: Engineering takes 3.1× the share of its output that it takes of world research.
- EngineeringField · 20.6 works3.1×
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: Chemical Engineering, 3.8×. Every wedge is a field page.
All 20 fields, with their numbers
- Chemical Engineering3.75×1 works
- Engineering3.09×21 works
- Decision Sciences2.78×1 works
- Computer Science2.49×9 works
- Earth and Planetary Sciences1.86×1 works
- Energy1.77×1 works
- Neuroscience1.62×1 works
- Physics and Astronomy1.45×1 works
- Health Professions1.09×1 works
- Materials Science1.05×2 works
- Chemistry0.50×0 works
- Business, Management and Accounting0.47×1 works
- Biochemistry, Genetics and Molecular Biology0.35×1 works
- Economics, Econometrics and Finance0.32×0 works
- Social Sciences0.25×1 works
- Environmental Science0.21×0 works
- Psychology0.21×0 works
- Medicine0.16×1 works
- Arts and Humanities0.13×0 works
- Agricultural and Biological Sciences0.04×0 works
- Chemical Engineering 3.8×
- Engineering 3.1×
- Decision Sciences 2.8×
- Computer Science 2.5×
- Earth and Planetary Sciences 1.9×
- Energy 1.8×
- Neuroscience 1.6×
- Physics and Astronomy 1.4×
- Health Professions 1.1×
- Materials Science 1.1×
- Chemistry 0.5×
- Business, Management and Accounting 0.5×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Economics, Econometrics and Finance 0.3×
- Social Sciences 0.2×
- Environmental Science 0.2×
- Psychology 0.2×
- Medicine 0.2×
- Arts and Humanities 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at Intelligent Automation (United States)?
Ranked on the quality score, Yalin E. Sagduyu, Kemal Davaslıoğlu and Xiaoliang Zhao lead among researchers whose main affiliation is Intelligent Automation (United States).
- 1
Yalin E. Sagduyu
United States · #729,757 worldwide 5.4k citations · 263 works
- 2
Kemal Davaslıoğlu
United States · #939,000 worldwide 1.7k citations · 94 works
- 3
Xiaoliang Zhao
United States · #1,265,431 worldwide 2.5k citations · 66 works
- 4
Julia Deng
United States · #1,350,971 worldwide 644 citations · 27 works
- 5
Benjamin Bachrach
United States · #1,569,591 worldwide 535 citations · 16 works
- 6
L. Haynes
United States · #1,714,221 worldwide 817 citations · 40 works
- 7
Vikram Manikonda
United States · #1,745,974 worldwide 857 citations · 41 works
- 8
Leonard S. Haynes
United States · #2,036,622 worldwide 947 citations · 49 works
- 9
Guangfan Zhang
United States · #2,088,646 worldwide 1.4k citations · 35 works
- 10
Goutam Satapathy
United States · #2,160,560 worldwide 378 citations · 21 works
Which keywords describe research at Intelligent Automation (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Neural Networks, Machine Learning, Deep Learning, Wireless Communications, Adaptive Control, Process Monitoring, Classification and Data-Driven Techniques.
- Health Promotion
- Electronic Word-of-Mouth
- Consumer Engagement
- Process Monitoring
- Data-Driven Techniques
- Social Media
- Biomedical Applications
- Adaptive Control
- Education
- Remote Sensing
- Machine Learning
- Deep Learning
- Neural Networks
- Wireless Communications
- Energy Efficiency
- Big Data
- Classification
- Artificial Intelligence
- Fault Detection
- Automation
- Digital Storytelling
- Geohazards
- Hyperspectral Imaging
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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Deep Learning5▲ 3.0×23 topics
- Machine Learning5▲ 3.1×21 topics
- Neural Networks4▲ 5.9×17 topics
- Remote Sensing2▲ 3.0×7 topics
- Wireless Communications2▲ 20×4 topics
- Education1▲ 1.78×5 topics
- Energy Efficiency1▲ 3.4×10 topics
- Adaptive Control1▲ 22×6 topics
- Big Data1▲ 2.7×6 topics
- Biomedical Applications1▲ 2.2×8 topics
- Classification1▲ 6.0×5 topics
- Social Media1▲ 2.0×2 topics
- Artificial Intelligence1▲ 1.75×4 topics
- Data-Driven Techniques1▲ 29×1 topic
- Fault Detection1▲ 17×1 topic
- Process Monitoring1▲ 27×2 topics
- Automation1▲ 32×3 topics
- Consumer Engagement1▲ 18×1 topic
- Digital Storytelling1▲ 99×1 topic
- Electronic Word-of-Mouth1▲ 18×1 topic
- Geohazards1▲ 47×1 topic
- Health Promotion1▲ 7.1×1 topic
- Hyperspectral Imaging1▲ 8.4×1 topic
Which research topics does Intelligent Automation (United States) publish most on?
By volume in 2022-now: Fault Detection and Control Systems, Digital Storytelling and Education, Digital Marketing and Social Media and Remote Sensing and Land Use.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Fault Detection and Control Systems Control and Systems Engineering 1 works
- 2 Digital Storytelling and Education Speech and Hearing 1 works
- 3 Digital Marketing and Social Media Sociology and Political Science 1 works
- 4 Remote Sensing and Land Use Atmospheric Science 1 works
- 5 Wireless Signal Modulation Classification Artificial Intelligence 1 works
- 6 Wireless Communication Security Techniques Electrical and Electronic Engineering 1 works
- 7 Machine Fault Diagnosis Techniques Control and Systems Engineering 1 works
- 8 Stability and Control of Uncertain Systems Control and Systems Engineering 0 works
- 9 Robotic Process Automation Applications Industrial and Manufacturing Engineering 0 works
- 10 Machine Learning and Data Classification Artificial Intelligence 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 Intelligent Automation (United States)'s research output changed?
Output in 2022-2025 was 50% 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 Intelligent Automation (United States) as a percentage of every work published that year, 0.000096% in 2024.
Fractional works of Intelligent Automation (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 22.8% in 2007.
Other research institutions in Rockville
- United States Nuclear Regulatory Commission
- Signal Processing (United States)
- Orthopaedic Center
- Biomedical Research Institute
- Westat (United States)
- Research Applications (United States)
- Kai Research (United States)
- Micro Focus (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.
Discussion
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