Science Explorer Back to mapMap
Discussion
Company · Rockville · United States

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.

FieldWorld rankWhere that sitsTop-10% rateWorks
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.

Physical Sciences: 36 fractional works · 80.3% of its workEngineering: 21 fractional works · 46.3% of its workControl and Systems Engineering: 5 fractional works · 11.6% of its workElectrical and Electronic Engineering: 5 fractional works · 11.3% of its workBiomedical Engineering: 2 fractional works · 4.9% of its workIndustrial and Manufacturing Engineering: 2 fractional works · 4.0% of its workMechanical Engineering: 2 fractional works · 3.9% of its workAerospace Engineering: 1 fractional works · 2.9% of its workComputational Mechanics: 1 fractional works · 2.1% of its workOcean Engineering: 1 fractional works · 1.4% of its workAutomotive Engineering: 1 fractional works · 1.3% of its workCivil and Structural Engineering: 0 fractional works · 1.0% of its workMechanics of Materials: 0 fractional works · 0.8% of its workMedia Technology: 0 fractional works · 0.4% of its workBuilding and Construction: 0 fractional works · 0.4% of its workSafety, Risk, Reliability and Quality: 0 fractional works · 0.3% of its workComputer Science: 9 fractional works · 19.4% of its workArtificial Intelligence: 5 fractional works · 10.6% of its workComputer Vision and Pattern Recognition: 1 fractional works · 3.1% of its workComputer Networks and Communications: 1 fractional works · 2.7% of its workComputational Theory and Mathematics: 0 fractional works · 0.9% of its workSignal Processing: 0 fractional works · 0.9% of its workHuman-Computer Interaction: 0 fractional works · 0.4% of its workInformation Systems: 0 fractional works · 0.4% of its workComputer Science Applications: 0 fractional works · 0.3% of its workSmaller subfields together: 0 fractional works · 0.1% of its workMaterials Science: 2 fractional works · 3.7% of its workMaterials Chemistry: 1 fractional works · 2.3% of its workElectronic, Optical and Magnetic Materials: 0 fractional works · 0.9% of its workPolymers and Plastics: 0 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.1% of its workPhysics and Astronomy: 1 fractional works · 3.2% of its workAtomic and Molecular Physics, and Optics: 1 fractional works · 1.4% of its workStatistical and Nonlinear Physics: 0 fractional works · 0.7% of its workCondensed Matter Physics: 0 fractional works · 0.4% of its workRadiation: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.5% of its workEarth and Planetary Sciences: 1 fractional works · 2.9% of its workAtmospheric Science: 1 fractional works · 2.2% of its workGeophysics: 0 fractional works · 0.5% of its workSmaller subfields together: 0 fractional works · 0.2% of its workEnergy: 1 fractional works · 1.6% of its workRenewable Energy, Sustainability and the Environment: 1 fractional works · 1.6% of its workChemical Engineering: 1 fractional works · 1.3% of its workProcess Chemistry and Technology: 0 fractional works · 0.7% of its workCatalysis: 0 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.2% of its workEnvironmental Science: 0 fractional works · 1.0% of its workEcology: 0 fractional works · 0.9% of its workSmaller subfields together: 0 fractional works · 0.2% of its workChemistry: 0 fractional works · 0.8% of its workElectrochemistry: 0 fractional works · 0.4% of its workOrganic Chemistry: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.2% of its workSocial Sciences: 4 fractional works · 9.1% of its workSocial Sciences: 1 fractional works · 3.2% of its workSociology and Political Science: 1 fractional works · 2.5% of its workSafety Research: 0 fractional works · 0.4% of its workSmaller subfields together: 0 fractional works · 0.3% of its workDecision Sciences: 1 fractional works · 2.7% of its workStatistics, Probability and Uncertainty: 1 fractional works · 1.4% of its workManagement Science and Operations Research: 0 fractional works · 0.9% of its workInformation Systems and Management: 0 fractional works · 0.4% of its workBusiness, Management and Accounting: 1 fractional works · 1.5% of its workManagement Information Systems: 1 fractional works · 1.5% of its workEconomics, Econometrics and Finance: 0 fractional works · 0.7% of its workGeneral Economics, Econometrics and Finance: 0 fractional works · 0.5% of its workSmaller subfields together: 0 fractional works · 0.2% of its workPsychology: 0 fractional works · 0.6% of its workExperimental and Cognitive Psychology: 0 fractional works · 0.4% of its workSocial Psychology: 0 fractional works · 0.2% of its workArts and Humanities: 0 fractional works · 0.4% of its workConservation: 0 fractional works · 0.4% of its workHealth Sciences: 3 fractional works · 6.0% of its workMedicine: 1 fractional works · 3.1% of its workRehabilitation: 0 fractional works · 0.9% of its workHealth Informatics: 0 fractional works · 0.7% of its workPhysiology: 0 fractional works · 0.5% of its workOphthalmology: 0 fractional works · 0.4% of its workOncology: 0 fractional works · 0.2% of its workPharmacology: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workHealth Professions: 1 fractional works · 2.9% of its workSpeech and Hearing: 1 fractional works · 2.2% of its workHealth Information Management: 0 fractional works · 0.2% of its workRadiological and Ultrasound Technology: 0 fractional works · 0.2% of its workSmaller subfields together: 0 fractional works · 0.1% of its workLife Sciences: 2 fractional works · 4.7% of its workNeuroscience: 1 fractional works · 2.6% of its workCognitive Neuroscience: 0 fractional works · 1.1% of its workCellular and Molecular Neuroscience: 0 fractional works · 0.6% of its workNeurology: 0 fractional works · 0.6% of its workSensory Systems: 0 fractional works · 0.2% of its workBiochemistry, Genetics and Molecular Biology: 1 fractional works · 1.8% of its workMolecular Biology: 1 fractional works · 1.5% of its workMolecular Medicine: 0 fractional works · 0.4% of its workAgricultural and Biological Sciences: 0 fractional works · 0.2% of its workPlant Science: 0 fractional works · 0.2% of its workALL ITS WORKIntelligentAutomation…44fractional works, 2022-now
Life Sciences5%Physical Sciences80%Health Sciences6%Social Sciences9%

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
    1. Engineering2146.3%
    2. Computer Science919.4%
    3. Materials Science23.7%
    4. Physics and Astronomy13.2%
    5. Earth and Planetary Sciences12.9%
    6. Energy11.6%
    7. Chemical Engineering11.3%
    8. Environmental Science01.0%
    9. Chemistry00.8%
    1. Social Sciences13.2%
    2. Decision Sciences12.7%
    3. Business, Management and Accounting11.5%
    4. Economics, Econometrics and Finance00.7%
    5. Psychology00.6%
    6. Arts and Humanities00.4%
    1. Medicine13.1%
    2. Health Professions12.9%
    1. Neuroscience12.6%
    2. Biochemistry, Genetics and Molecular Biology11.8%
    3. Agricultural and Biological Sciences00.2%
All of science, and how each field's share has moved since 1950: the Science domain explorer

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.

  1. EngineeringField · 20.6 works3.1×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.04× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.35× its world share, 1 worksBiochemistry, Geneti…Neuroscience: 1.62× its world share, 1 worksNeuroscienceChemical Engineering: 3.75× its world share, 1 worksChemical EngineeringChemistry: 0.50× its world share, 0 worksChemistryComputer Science: 2.49× its world share, 9 worksComputer ScienceEarth and Planetary Sciences: 1.86× its world share, 1 worksEarth and Planetary …Energy: 1.77× its world share, 1 worksEnergyEngineering: 3.09× its world share, 21 worksEngineeringEnvironmental Science: 0.21× its world share, 0 worksEnvironmental ScienceMaterials Science: 1.05× its world share, 2 worksMaterials SciencePhysics and Astronomy: 1.45× its world share, 1 worksPhysics and AstronomyHealth Professions: 1.09× its world share, 1 worksHealth ProfessionsMedicine: 0.16× its world share, 1 worksMedicineArts and Humanities: 0.13× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.47× its world share, 1 worksBusiness, Management…Decision Sciences: 2.78× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 0.32× its world share, 0 worksEconomics, Econometr…Psychology: 0.21× its world share, 0 worksPsychologySocial Sciences: 0.25× its world share, 1 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

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
  1. Chemical Engineering3.75×1 works
  2. Engineering3.09×21 works
  3. Decision Sciences2.78×1 works
  4. Computer Science2.49×9 works
  5. Earth and Planetary Sciences1.86×1 works
  6. Energy1.77×1 works
  7. Neuroscience1.62×1 works
  8. Physics and Astronomy1.45×1 works
  9. Health Professions1.09×1 works
  10. Materials Science1.05×2 works
  11. Chemistry0.50×0 works
  12. Business, Management and Accounting0.47×1 works
  13. Biochemistry, Genetics and Molecular Biology0.35×1 works
  14. Economics, Econometrics and Finance0.32×0 works
  15. Social Sciences0.25×1 works
  16. Environmental Science0.21×0 works
  17. Psychology0.21×0 works
  18. Medicine0.16×1 works
  19. Arts and Humanities0.13×0 works
  20. Agricultural and Biological Sciences0.04×0 works

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. 1 Yalin E. Sagduyu United States · #729,757 worldwide 5.4k citations · 263 works
  2. 2 Kemal Davaslıoğlu United States · #939,000 worldwide 1.7k citations · 94 works
  3. 3 Xiaoliang Zhao United States · #1,265,431 worldwide 2.5k citations · 66 works
  4. 4 Julia Deng United States · #1,350,971 worldwide 644 citations · 27 works
  5. 5 Benjamin Bachrach United States · #1,569,591 worldwide 535 citations · 16 works
  6. 6 L. Haynes United States · #1,714,221 worldwide 817 citations · 40 works
  7. 7 Vikram Manikonda United States · #1,745,974 worldwide 857 citations · 41 works
  8. 8 Leonard S. Haynes United States · #2,036,622 worldwide 947 citations · 49 works
  9. 9 Guangfan Zhang United States · #2,088,646 worldwide 1.4k citations · 35 works
  10. 10 Goutam Satapathy United States · #2,160,560 worldwide 378 citations · 21 works
All ranked researchers at Intelligent Automation (United States)

What are the most cited papers from Intelligent Automation (United States)?

The most cited paper from Intelligent Automation (United States) is "Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring" (Xiaoliang Zhao, Huidong Gao, Guangfan Zhang et al., 2007), with 745 citations. Next come "A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems" (568) and "Adaptive Fault-Tolerant Control of Nonlinear Uncertain Systems: An Information-Based Diagnostic Approach" (545).

Most cited papers
#PaperReleasedCitations
1 Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring Xiaoliang Zhao, Huidong Gao, Guangfan Zhang et al. · Smart Materials and Structures Open access 29 Jun 2007 745
2 A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini · IEEE Transactions on Automatic Control Apr 2002 568
3 Adaptive Fault-Tolerant Control of Nonlinear Uncertain Systems: An Information-Based Diagnostic Approach Xiaowei Zhang, Thomas Parisini, Marios M. Polycarpou · IEEE Transactions on Automatic Control Aug 2004 545
4 Control of Multiple UAVs for Persistent Surveillance: Algorithm and Flight Test Results Nikhil Kumar Nigam, Stefan R. Bieniawski, Ilan Kroo et al. · IEEE Transactions on Control Systems Technology 17 Oct 2011 462
5 Robust backstepping control of nonlinear systems using neural networks Chiman Kwan, Frank L. Lewis · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans 2000 460
All 60 most cited papers, with filters and sorting

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.

▲ more of its work than of the world's◆ about the world's share▼ less than the world's

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
  1. Deep Learning5▲ 3.0×23 topics
  2. Machine Learning5▲ 3.1×21 topics
  3. Neural Networks4▲ 5.9×17 topics
  4. Remote Sensing2▲ 3.0×7 topics
  5. Wireless Communications2▲ 20×4 topics
  6. Education1▲ 1.78×5 topics
  7. Energy Efficiency1▲ 3.4×10 topics
  8. Adaptive Control1▲ 22×6 topics
  9. Big Data1▲ 2.7×6 topics
  10. Biomedical Applications1▲ 2.2×8 topics
  11. Classification1▲ 6.0×5 topics
  12. Social Media1▲ 2.0×2 topics
  13. Artificial Intelligence1▲ 1.75×4 topics
  14. Data-Driven Techniques1▲ 29×1 topic
  15. Fault Detection1▲ 17×1 topic
  16. Process Monitoring1▲ 27×2 topics
  17. Automation1▲ 32×3 topics
  18. Consumer Engagement1▲ 18×1 topic
  19. Digital Storytelling1▲ 99×1 topic
  20. Electronic Word-of-Mouth1▲ 18×1 topic
  21. Geohazards1▲ 47×1 topic
  22. Health Promotion1▲ 7.1×1 topic
  23. 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.

  1. 1 Fault Detection and Control Systems Control and Systems Engineering 1 works
  2. 2 Digital Storytelling and Education Speech and Hearing 1 works
  3. 3 Digital Marketing and Social Media Sociology and Political Science 1 works
  4. 4 Remote Sensing and Land Use Atmospheric Science 1 works
  5. 5 Wireless Signal Modulation Classification Artificial Intelligence 1 works
  6. 6 Wireless Communication Security Techniques Electrical and Electronic Engineering 1 works
  7. 7 Machine Fault Diagnosis Techniques Control and Systems Engineering 1 works
  8. 8 Stability and Control of Uncertain Systems Control and Systems Engineering 0 works
  9. 9 Robotic Process Automation Applications Industrial and Manufacturing Engineering 0 works
  10. 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.

openly available20.9%not open79.1%

World: 40% of research is openly available.

with international co-authors13.1%domestic only86.9%

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.

still counting1990200020102020
grewheldshrank

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.

still counting0.00050%0.0010%0.0015%Intelligent Automation (United States)0.00026% in 202519801990200020102020

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.

10%20%30%all institutions10.0% in 2018Intelligent Automation (United States)9.6% in 20182010

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

All research institutions in Rockville

Share Intelligent Automation (United States)'s ranking

Intelligent Automation (United States) on Science Explorer

A card with Intelligent Automation (United States)'s standing and the fields it leads in, for a post or a slide. A link to this page previews as the same card.

Download the card

1200 × 630 PNG, sized for social posts, drawn from the latest snapshot.

Badges for a website1Each links back here and updates with every snapshot

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

Ask a question or share a note about Intelligent Automation (United States). Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.