Intelligent Automation (United States)
In research, Intelligent Automation (United States) stands highest in Engineering (#4,179 of 11,412 worldwide), Computer Science (#3,826 of 7,020 worldwide) and Physical Sciences (#12,710 of 21,541 worldwide), over all time.
- World rank, all time
- #22,123 of 42,892
- Rank in United States
- #4,771 of 8,685
- Research works
- 535 ▼ 33% vs 2013–17
- Citations
- 9.4k 17.6 per fractional work
- Top-10% rate
- 14.6% record average 16.5%
- Open access
- 21% world 28%
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 |
|---|---|---|---|---|
| EngineeringField | #4,179 of 11,412 | 24.7% | 245 | |
| Computer ScienceField | #3,826 of 7,020 | 24.8% | 199 | |
| Physical SciencesDomain | #12,710 of 21,541 | 23.9% | 473 |
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 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.
Rings at 0.5×, 1× and 2×. Widest outward: Decision Sciences, 3.3×. Every wedge is a field page.
- Decision Sciences 3.3×
- Engineering 3.0×
- Computer Science 2.6×
- Earth and Planetary Sciences 2.3×
- Neuroscience 2.1×
- Health Professions 1.4×
- Energy 1.2×
- Physics and Astronomy 1.2×
- Chemical Engineering 0.7×
- Chemistry 0.7×
- Business, Management and Accounting 0.6×
- Materials Science 0.4×
- Economics, Econometrics and Finance 0.4×
- Social Sciences 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Environmental Science 0.3×
- Medicine 0.2×
- Arts and Humanities 0.2×
- Psychology 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at Intelligent Automation (United States)?
Ranked on the composite score, Nikhil Nigam, Vikram Manikonda and Yalin E. Sagduyu lead among researchers whose main affiliation is Intelligent Automation (United States).
- 1 Nikhil Nigam United States · #335,607 worldwide 125 citations · 17 works
- 2 Vikram Manikonda United States · #474,556 worldwide 98 citations · 16 works
- 3 Yalin E. Sagduyu United States · #480,854 worldwide 229 citations · 56 works
- 4 Kemal Davaslıoğlu United States · #630,569 worldwide 89 citations · 26 works
- 5 Xiong Liu United States · #830,959 worldwide 63 citations · 17 works
- 6 Roger Xu United States · #909,679 worldwide 77 citations · 21 works
- 7 Frederick Wieland United States · #934,029 worldwide 33 citations · 27 works
- 8 Xiaoliang Zhao United States · #976,153 worldwide 46 citations · 19 works
- 9 Dan Xiang United States · #1,119,995 worldwide 35 citations · 21 works
- 10 Ioannis Tsiokos United States · #1,620,821 worldwide 0 citations · 21 works
Which keywords describe research at Intelligent Automation (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Machine Learning, Wireless Communications, Remote Sensing, Automation, Consumer Engagement and Digital Storytelling.
- Hyperspectral Imaging
- Geohazards
- Electronic Word-of-Mouth
- Consumer Engagement
- Social Media
- Education
- Remote Sensing
- Machine Learning
- Deep Learning
- Neural Networks
- Wireless Communications
- Artificial Intelligence
- Automation
- Digital Storytelling
- Energy Efficiency
- Health Promotion
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 16 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 16 words, with their numbers
- Deep Learning4▲ 3.1×20 topics
- Machine Learning3▲ 2.9×18 topics
- Neural Networks3▲ 5.5×15 topics
- Remote Sensing2▲ 3.9×7 topics
- Wireless Communications2▲ 25×3 topics
- Education1▲ 2.3×5 topics
- Artificial Intelligence1▲ 2.4×4 topics
- Social Media1▲ 2.2×2 topics
- Automation1▲ 44×3 topics
- Consumer Engagement1▲ 23×1 topic
- Digital Storytelling1▲ 123×1 topic
- Electronic Word-of-Mouth1▲ 23×1 topic
- Energy Efficiency1▲ 3.1×7 topics
- Geohazards1▲ 57×1 topic
- Health Promotion1▲ 9.2×1 topic
- Hyperspectral Imaging1▲ 10×1 topic
Which research topics does Intelligent Automation (United States) publish most on?
By volume in 2022–2025: Digital Marketing and Social Media, Remote Sensing and Land Use, Digital Storytelling and Education and Wireless Signal Modulation Classification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Digital Marketing and Social Media Sociology and Political Science 1 works
- 2 Remote Sensing and Land Use Atmospheric Science 1 works
- 3 Digital Storytelling and Education Speech and Hearing 1 works
- 4 Wireless Signal Modulation Classification Artificial Intelligence 1 works
- 5 Wireless Communication Security Techniques Electrical and Electronic Engineering 1 works
- 6 Fault Detection and Control Systems Control and Systems Engineering 1 works
- 7 Advanced Statistical Process Monitoring Statistics, Probability and Uncertainty 0 works
- 8 Machine Learning and Data Classification Artificial Intelligence 0 works
- 9 FinTech, Crowdfunding, Digital Finance Management Information Systems 0 works
- 10 Robotic Process Automation Applications Industrial and Manufacturing 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: 28% of research is openly available.
World: 19% is written across borders.
How has Intelligent Automation (United States)'s research output changed?
Output in 2018–2022 was 33% 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 Rockville
- United States Nuclear Regulatory Commission
- Signal Processing (United States)
- Center for Devices and Radiological Health
- Agency for Healthcare Research and Quality
- Orthopaedic Center
- Biomedical Research Institute
- Westat (United States)
- Research Applications (United States)
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.