Embedded Systems (United States)
In research, Embedded Systems (United States) stands highest in Engineering (#2,606 of 5,901 worldwide), Physical Sciences (#4,772 of 10,670 worldwide) and Computer Science (#3,076 of 4,417 worldwide), 2022-now. Relative to its size it is most specialised in Hardware and Architecture, Computer Networks and Communications and Control and Systems Engineering (Hardware and Architecture is 47.7× its share of world research).
- World rank, 2022-now
- #8,235 of 22,385 · #6,219 all time
- Rank in United States
- #1,106 of 3,332
- Research works
- 2.2k ▲ 8% vs 2018-21
- Citations
- 30k 13.9 per fractional work
- Top-10% rate
- 6.7% all institutions 10.0%
- vs its own fields
- 0.83× 1.00× is exactly expected
- Open access
- 30% world 40%
- International
- 40% world 18%
What is Embedded Systems (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 |
|---|---|---|---|---|---|
| EngineeringField | #2,606 of 5,901 | 7.5% | 133 | #2270 | |
| Physical SciencesDomain | #4,772 of 10,670 | 6.1% | 273 | #3714 | |
| Computer ScienceField | #3,076 of 4,417 | 4.9% | 115 | #1933 | |
| Social SciencesDomain | #8,198 of 9,585 | 9.2% | 75 | #8631 |
Each strip is that field's whole ranked pool, with the notch where Embedded Systems (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.
- Engineering#2,270 #2,606
- Physical Sciences#3,714 #4,772
- Computer Science#1,933 #3,076
- Social Sciences#8,631 #8,198
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 Embedded Systems (United States) work in?
In 2022-now, 71% of research at Embedded Systems (United States) is in Physical Sciences, 20% in Social Sciences. Its largest fields are Engineering (35%), Computer Science (30%), Social Sciences (8%). It does 1.8× 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 26 fields, with their numbers
- Physical Sciences31171.5%
- Engineering15335.1%
- Computer Science13029.8%
- Environmental Science81.9%
- Physics and Astronomy51.3%
- Energy40.8%
- Mathematics30.8%
- Materials Science30.8%
- Earth and Planetary Sciences20.4%
- Chemistry20.4%
- Chemical Engineering10.2%
- Social Sciences8720.0%
- Social Sciences378.5%
- Arts and Humanities286.5%
- Psychology122.7%
- Decision Sciences51.1%
- Business, Management and Accounting40.8%
- Economics, Econometrics and Finance10.3%
- Health Sciences214.9%
- Medicine153.4%
- Health Professions51.2%
- Dentistry10.1%
- Nursing00.1%
- Veterinary00.0%
- Life Sciences163.6%
What does Embedded Systems (United States) specialise in?
Where its research is concentrated relative to its size: Hardware and Architecture takes 47.7× the share of its output that it takes of world research.
- Hardware and ArchitectureSubfield · 23.3 works48×
- Computer Networks and CommunicationsSubfield · 23.5 works6.1×
- Control and Systems EngineeringSubfield · 24.1 works5.1×
- Computer Vision and Pattern RecognitionSubfield · 25.8 works4.7×
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, 3.8×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science3.83×130 works
- Engineering2.34×153 works
- Arts and Humanities2.24×28 works
- Decision Sciences1.18×5 works
- Neuroscience1.01×7 works
- Psychology0.90×12 works
- Energy0.87×4 works
- Mathematics0.68×4 works
- Social Sciences0.67×37 works
- Chemical Engineering0.66×1 works
- Physics and Astronomy0.56×5 works
- Health Professions0.47×5 works
- Environmental Science0.39×8 works
- Earth and Planetary Sciences0.27×2 works
- Chemistry0.26×2 works
- Dentistry0.26×1 works
- Business, Management and Accounting0.26×4 works
- Materials Science0.23×4 works
- Nursing0.21×0 works
- Agricultural and Biological Sciences0.19×4 works
- Biochemistry, Genetics and Molecular Biology0.19×4 works
- Veterinary0.19×0 works
- Medicine0.18×15 works
- Economics, Econometrics and Finance0.16×1 works
- Immunology and Microbiology0.05×0 works
- Pharmacology, Toxicology and Pharmaceutics0.01×0 works
- Computer Science 3.8×
- Engineering 2.3×
- Arts and Humanities 2.2×
- Decision Sciences 1.2×
- Neuroscience 1.0×
- Psychology 0.9×
- Energy 0.9×
- Mathematics 0.7×
- Social Sciences 0.7×
- Chemical Engineering 0.7×
- Physics and Astronomy 0.6×
- Health Professions 0.5×
- Environmental Science 0.4×
- Earth and Planetary Sciences 0.3×
- Chemistry 0.3×
- Dentistry 0.3×
- Business, Management and Accounting 0.3×
- Materials Science 0.2×
- Nursing 0.2×
- Agricultural and Biological Sciences 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Veterinary 0.2×
- Medicine 0.2×
- Economics, Econometrics and Finance 0.2×
- Immunology and Microbiology 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.0×
Who are the top researchers at Embedded Systems (United States)?
Ranked on the quality score, S.J. Mellor, Roelof Hamberg and Vadim Vashkelis lead among researchers whose main affiliation is Embedded Systems (United States).
- 1
S.J. Mellor
United States · #2,375,761 worldwide 746 citations · 17 works
- 2
Roelof Hamberg
United States · #2,923,690 worldwide 1.9k citations · 52 works
- 3
Vadim Vashkelis
United States · #3,583,022 worldwide 1 citations · 15 works
- 4
Yann Glouche
United States · #3,907,179 worldwide 156 citations · 22 works
- 5
Minh Tuan Ho
United States · #4,112,590 worldwide 13 citations · 16 works
- 6
Van Chan Ngo
United States · #4,139,335 worldwide 217 citations · 30 works
- 7
Sven Teufel
United States · #4,708,335 worldwide 96 citations · 24 works
- 8
Mohamed Hadj Ammar
United States · #4,831,529 worldwide 34 citations · 17 works
- 9
Jörg Gamerdinger
United States · #4,863,560 worldwide 114 citations · 27 works
- 10
Th. Krol
United States · #4,964,922 worldwide 47 citations · 19 works
Which keywords describe research at Embedded Systems (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Computer Vision, Embedded Systems, CMOS Technology and Internet of Things.
- Religious Education
- Resource Allocation
- Driver Assistance Systems
- Reconfigurable Computing
- Secularism
- Performance Optimization
- Sensor Fusion
- Neuromorphic Computing
- Smart Grid
- Low-Power
- Collision Avoidance
- Fault Tolerance
- Image Recognition
- Image Classification
- Autonomous Vehicles
- CMOS Technology
- Security
- Computer Vision
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Internet of Things
- Embedded Systems
- Energy Efficiency
- IoT
- FPGA
- Parallel Computing
- Object Detection
- Electric Vehicles
- Process Variation
- High-Performance Computing
- Theology
- Power Electronics
- GPU Computing
- Feedback Control
- High-Level Synthesis
- Citizenship
- Trajectory Prediction
- Nanoelectronics
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 Learning63▲ 4.2×66 topics
- Machine Learning31▲ 2.1×55 topics
- Neural Networks29▲ 4.4×33 topics
- Convolutional Neural Networks17▲ 5.5×13 topics
- Internet of Things15▲ 3.9×17 topics
- Computer Vision13▲ 11×5 topics
- Embedded Systems13▲ 65×4 topics
- Security12▲ 4.3×16 topics
- Energy Efficiency12▲ 3.1×18 topics
- CMOS Technology12▲ 33×5 topics
- IoT11▲ 6.4×11 topics
- Autonomous Vehicles10▲ 11×4 topics
- FPGA10▲ 59×4 topics
- Image Classification10▲ 12×3 topics
- Parallel Computing10▲ 18×5 topics
- Image Recognition9▲ 15×1 topic
- Object Detection9▲ 15×1 topic
- Fault Tolerance9▲ 14×7 topics
- Electric Vehicles9▲ 7.2×4 topics
- Collision Avoidance9▲ 11×4 topics
- Process Variation9▲ 34×2 topics
- Low-Power8▲ 46×2 topics
- High-Performance Computing8▲ 23×2 topics
- Smart Grid8▲ 5.0×7 topics
- Theology8▲ 20×4 topics
- Neuromorphic Computing8▲ 15×2 topics
- Power Electronics8▲ 5.5×8 topics
- Sensor Fusion8▲ 16×3 topics
- GPU Computing7▲ 44×1 topic
- Performance Optimization7▲ 27×1 topic
- Feedback Control7▲ 10×7 topics
- Secularism7▲ 16×5 topics
- High-Level Synthesis7▲ 76×1 topic
- Reconfigurable Computing7▲ 63×1 topic
- Citizenship6▲ 12×3 topics
- Driver Assistance Systems6▲ 26×1 topic
- Trajectory Prediction6▲ 26×1 topic
- Resource Allocation6▲ 8.2×6 topics
- Nanoelectronics6▲ 17×2 topics
- Religious Education6▲ 8.4×3 topics
Which research topics does Embedded Systems (United States) publish most on?
By volume in 2022-now: Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques and Autonomous Vehicle Technology and Safety.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 9 works
- 2 Parallel Computing and Optimization Techniques Hardware and Architecture 7 works
- 3 Embedded Systems Design Techniques Hardware and Architecture 7 works
- 4 Autonomous Vehicle Technology and Safety Automotive Engineering 6 works
- 5 Low-power high-performance VLSI design Electrical and Electronic Engineering 5 works
- 6 Religious Education and Schools Education 5 works
- 7 Advanced Memory and Neural Computing Electrical and Electronic Engineering 5 works
- 8 Education, Healthcare and Sociology Research Social Psychology 5 works
- 9 Biblical Studies and Interpretation Religious studies 5 works
- 10 Real-Time Systems Scheduling Hardware and Architecture 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 Embedded Systems (United States)'s research output changed?
Output in 2022-2025 was 8% 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 Embedded Systems (United States) as a percentage of every work published that year, 0.0013% in 2024.
Fractional works of Embedded Systems (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 17.6% in 2004.
Other research institutions in Middletown
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 Embedded Systems (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.
