NEC (United States)
In research, NEC (United States) stands highest in Physical Sciences (#3,363 of 17,446 worldwide), Computer Science (#1,253 of 6,336 worldwide) and Electrical and Electronic Engineering (#1,375 of 3,725 worldwide), over all time. Relative to its size it is most specialised in Computer Science and Physical Sciences (Computer Science is 7.3× its share of world research).
- World rank, all time
- #11,592 of 34,923
- Rank in United States
- #2,414 of 7,310
- Research works
- 566 ▲ 9% vs 2018-21
- Citations
- 22k 39.3 per fractional work
- Top-10% rate
- 14.7% all institutions 10.0%
- vs its own fields
- 1.21× 1.00× is exactly expected
- Open access
- 17% world 40%
- International
- 26% world 18%
What is NEC (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 | #3,363 of 17,446 | 17.9% | 518 | |
| Computer ScienceField | #1,253 of 6,336 | 20.8% | 310 | |
| Electrical and Electronic EngineeringSubfield | #1,375 of 3,725 | 12.5% | 137 | |
| EngineeringField | #4,004 of 9,532 | 14.3% | 183 |
Each strip is that field's whole ranked pool, with the notch where NEC (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 NEC (United States) work in?
In 2022-now, 89% of research at NEC (United States) is in Physical Sciences, 5% in Social Sciences. Its largest fields are Computer Science (57%), Engineering (27%), Physics and Astronomy (3%). It does 2.1× 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 17 fields, with their numbers
- Physical Sciences5589.2%
- Computer Science3557.0%
- Engineering1626.5%
- Physics and Astronomy23.1%
- Earth and Planetary Sciences00.7%
- Environmental Science00.7%
- Chemistry00.6%
- Materials Science00.5%
- Social Sciences34.9%
- Life Sciences23.1%
- Health Sciences22.8%
- Medicine22.8%
What does NEC (United States) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 7.3× the share of its output that it takes of world research.
- Computer ScienceField · 35.2 works7.3×
- Physical SciencesDomain · 55.0 works2.3×
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, 7.3×. Every wedge is a field page.
All 17 fields, with their numbers
- Computer Science7.33×35 works
- Engineering1.77×16 works
- Decision Sciences1.61×1 works
- Physics and Astronomy1.41×2 works
- Neuroscience0.79×1 works
- Earth and Planetary Sciences0.46×0 works
- Psychology0.40×1 works
- Chemistry0.37×0 works
- Biochemistry, Genetics and Molecular Biology0.27×1 works
- Business, Management and Accounting0.18×0 works
- Economics, Econometrics and Finance0.17×0 works
- Materials Science0.14×0 works
- Medicine0.14×2 works
- Environmental Science0.13×0 works
- Agricultural and Biological Sciences0.09×0 works
- Social Sciences0.09×1 works
- Arts and Humanities0.02×0 works
- Computer Science 7.3×
- Engineering 1.8×
- Decision Sciences 1.6×
- Physics and Astronomy 1.4×
- Neuroscience 0.8×
- Earth and Planetary Sciences 0.5×
- Psychology 0.4×
- Chemistry 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Business, Management and Accounting 0.2×
- Economics, Econometrics and Finance 0.2×
- Materials Science 0.1×
- Medicine 0.1×
- Environmental Science 0.1×
- Agricultural and Biological Sciences 0.1×
- Social Sciences 0.1×
- Arts and Humanities 0.0×
Who are the top researchers at NEC (United States)?
Ranked on the quality score, Shenghuo Zhu, Haifeng Chen and Hakan Hacígümüş lead among researchers whose main affiliation is NEC (United States).
- 1
Shenghuo Zhu
United States · #109,702 worldwide 9.6k citations · 179 works
- 2
Haifeng Chen
United States · #303,446 worldwide 2.3k citations · 112 works
- 3
Hakan Hacígümüş
United States · #357,250 worldwide 3.7k citations · 74 works
- 4
Samuel Schulter
United States · #365,360 worldwide 2k citations · 77 works
- 5
Zhengzhang Chen
United States · #373,662 worldwide 2.7k citations · 143 works
- 6
Quoc-Huy Tran
United States · #460,268 worldwide 1.1k citations · 44 works
- 7
Hyun Jin Moon
United States · #580,934 worldwide 1.1k citations · 46 works
- 8
Jingchao Ni
United States · #633,531 worldwide 2.5k citations · 106 works
- 9
Wei Cheng
United States · #725,029 worldwide 3.6k citations · 171 works
- 10
Junichi Tatemura
United States · #816,488 worldwide 2.1k citations · 90 works
Which keywords describe research at NEC (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Optical Fiber, Unsupervised Learning, Anomaly Detection, Representation Learning and Machine Learning.
- Silicon Photonics
- Edge Computing
- Unsupervised
- Outlier Detection
- Distributed Systems
- Semiconductor Lasers
- Digital Signal Processing
- Object Detection
- Image Recognition
- IoT Security
- 5G Networks
- Pose Estimation
- Sensor Technology
- Visual Question Answering
- Time Series
- Semi-Supervised Learning
- Representation Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Optical Fiber
- Anomaly Detection
- Convolutional Networks
- Meta-Learning
- Image Captioning
- Fiber Optic Sensors
- Domain Adaptation
- Transfer Learning
- Image Classification
- Feature Extraction
- Internet of Things
- Coherent Detection
- Action Recognition
- Spatiotemporal Features
- Integrated Circuits
- Smart Cities
- Depth Estimation
- Fog Computing
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 Learning20▲ 9.4×39 topics
- Neural Networks8▲ 8.8×16 topics
- Machine Learning5▲ 2.6×21 topics
- Convolutional Neural Networks5▲ 11×7 topics
- Optical Fiber4▲ 67×3 topics
- Unsupervised Learning4▲ 43×3 topics
- Anomaly Detection3▲ 19×3 topics
- Representation Learning3▲ 34×3 topics
- Convolutional Networks3▲ 35×3 topics
- Semi-Supervised Learning3▲ 37×3 topics
- Meta-Learning3▲ 51×2 topics
- Time Series3▲ 25×2 topics
- Image Captioning2▲ 71×1 topic
- Visual Question Answering2▲ 44×1 topic
- Fiber Optic Sensors2▲ 77×1 topic
- Sensor Technology2▲ 77×1 topic
- Domain Adaptation2▲ 68×1 topic
- Pose Estimation2▲ 32×2 topics
- Transfer Learning2▲ 19×1 topic
- 5G Networks2▲ 18×2 topics
- Image Classification2▲ 19×2 topics
- IoT Security2▲ 11×2 topics
- Feature Extraction2▲ 7.6×6 topics
- Image Recognition2▲ 24×1 topic
- Internet of Things2▲ 4.0×3 topics
- Object Detection2▲ 25×1 topic
- Coherent Detection2▲ 70×1 topic
- Digital Signal Processing2▲ 62×1 topic
- Action Recognition2▲ 56×1 topic
- Semiconductor Lasers2▲ 40×2 topics
- Spatiotemporal Features2▲ 56×1 topic
- Distributed Systems2▲ 15×4 topics
- Integrated Circuits2▲ 18×2 topics
- Outlier Detection2▲ 21×1 topic
- Smart Cities2▲ 9.7×2 topics
- Unsupervised2▲ 24×1 topic
- Depth Estimation2▲ 30×2 topics
- Edge Computing1▲ 18×1 topic
- Fog Computing1▲ 20×1 topic
- Silicon Photonics1▲ 23×2 topics
Which research topics does NEC (United States) publish most on?
By volume in 2022-now: Multimodal Machine Learning Applications, Advanced Fiber Optic Sensors, Domain Adaptation and Few-Shot Learning and Advanced Neural Network Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
- 2 Advanced Fiber Optic Sensors Electrical and Electronic Engineering 2 works
- 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 4 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 5 Optical Network Technologies Electrical and Electronic Engineering 2 works
- 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works
- 8 IoT and Edge/Fog Computing Computer Networks and Communications 1 works
- 9 Photonic and Optical Devices Electrical and Electronic Engineering 1 works
- 10 Neural Networks and Reservoir Computing Artificial Intelligence 1 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 NEC (United States)'s research output changed?
Output in 2022-2025 was 9% 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 NEC (United States) as a percentage of every work published that year, 0.00021% in 2024.
Fractional works of NEC (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 31.3% in 2010.
Other research institutions in Irving
- ExxonMobil (United States)
- University of Dallas
- Fluor (United States)
- Materials Processing (United States)
- Celanese (United States)
- Caris Life Sciences (United States)
- American College of Emergency Physicians
- Christus Health
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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