NEC (United States)
In research, NEC (United States) stands highest in Computer Science (#1,144 of 7,020 worldwide), Physical Sciences (#6,705 of 21,541 worldwide) and Engineering (#3,832 of 11,412 worldwide), over all time. Relative to its size it is most specialised in Computer Science and Physical Sciences — Computer Science is 7.2× its share of world research.
- World rank, all time
- #11,131 of 42,892
- Rank in United States
- #2,446 of 8,685
- Research works
- 566 ▼ 38% vs 2013–17
- Citations
- 22k 39.3 per fractional work
- Top-10% rate
- 23.7% record average 16.5%
- Open access
- 17% world 28%
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 |
|---|---|---|---|---|
| Computer ScienceField | #1,144 of 7,020 | 40.0% | 310 | |
| Physical SciencesDomain | #6,705 of 21,541 | 34.1% | 518 | |
| EngineeringField | #3,832 of 11,412 | 24.7% | 183 | |
| Electrical and Electronic EngineeringSubfield | #2,150 of 4,248 | 21.8% | 137 |
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 world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does NEC (United States) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 7.2× the share of its output that it takes of world research.
- Computer ScienceField · 31.8 works7.2×
- Physical SciencesDomain · 50.4 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, 7.2×. Every wedge is a field page.
- Computer Science 7.2×
- Engineering 1.8×
- Decision Sciences 1.7×
- Physics and Astronomy 1.4×
- Neuroscience 0.8×
- Earth and Planetary Sciences 0.5×
- Chemistry 0.4×
- Psychology 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Economics, Econometrics and Finance 0.2×
- Materials Science 0.1×
- Medicine 0.1×
- Business, Management and Accounting 0.1×
- Environmental Science 0.1×
- Agricultural and Biological Sciences 0.1×
- Social Sciences 0.1×
Who are the top researchers at NEC (United States)?
Ranked on the composite score, Hakan Hacígümüş, Shenghuo Zhu and Junichi Tatemura lead among researchers whose main affiliation is NEC (United States).
- 1 Hakan Hacígümüş United States · #58,971 worldwide 512 citations · 28 works
- 2 Shenghuo Zhu United States · #100,591 worldwide 477 citations · 55 works
- 3 Junichi Tatemura United States · #290,188 worldwide 86 citations · 24 works
- 4 Wei Xu United States · #401,143 worldwide 178 citations · 15 works
- 5 Jingchao Ni United States · #443,935 worldwide 105 citations · 21 works
- 6 Ratnesh Sharma United States · #445,850 worldwide 261 citations · 62 works
- 7 Cristian Lumezanu United States · #559,114 worldwide 98 citations · 18 works
- 8 Bo Zong United States · #639,226 worldwide 86 citations · 16 works
- 9 Martin Renqiang Min United States · #674,673 worldwide 133 citations · 32 works
- 10 Wei Cheng United States · #860,542 worldwide 81 citations · 39 works
Which keywords describe research at NEC (United States)?
By fractional works in 2022–2025, 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.
- Smart Cities
- Optical Modulators
- Semiconductor Lasers
- Action Recognition
- 5G Networks
- Outlier Detection
- Distributed Systems
- Internet of Things
- Digital Signal Processing
- Pose Estimation
- Image Recognition
- Sensor Technology
- Fiber Optic Sensors
- Visual Question Answering
- Meta-Learning
- Time Series
- Representation Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Optical Fiber
- Anomaly Detection
- Semi-Supervised Learning
- Convolutional Networks
- Image Captioning
- Domain Adaptation
- Image Classification
- Transfer Learning
- Object Detection
- Coherent Detection
- Feature Extraction
- IoT Security
- Integrated Circuits
- Unsupervised
- Depth Estimation
- Spatiotemporal Features
- Microwave Photonics
- Silicon Photonics
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 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 Learning18▲ 9.2×37 topics
- Neural Networks8▲ 9.0×16 topics
- Machine Learning5▲ 2.6×20 topics
- Convolutional Neural Networks4▲ 10×7 topics
- Optical Fiber4▲ 68×3 topics
- Unsupervised Learning4▲ 49×3 topics
- Anomaly Detection3▲ 20×3 topics
- Representation Learning3▲ 40×3 topics
- Semi-Supervised Learning3▲ 42×3 topics
- Time Series3▲ 27×2 topics
- Convolutional Networks3▲ 33×3 topics
- Meta-Learning3▲ 57×2 topics
- Image Captioning2▲ 83×1 topic
- Visual Question Answering2▲ 51×1 topic
- Domain Adaptation2▲ 78×1 topic
- Fiber Optic Sensors2▲ 75×1 topic
- Image Classification2▲ 23×2 topics
- Sensor Technology2▲ 75×1 topic
- Transfer Learning2▲ 20×1 topic
- Image Recognition2▲ 28×1 topic
- Object Detection2▲ 30×1 topic
- Pose Estimation2▲ 31×2 topics
- Coherent Detection2▲ 74×1 topic
- Digital Signal Processing2▲ 66×1 topic
- Feature Extraction2▲ 7.0×5 topics
- Internet of Things2▲ 3.6×3 topics
- IoT Security2▲ 10×2 topics
- Distributed Systems2▲ 17×4 topics
- Integrated Circuits2▲ 18×2 topics
- Outlier Detection2▲ 21×1 topic
- Unsupervised2▲ 25×1 topic
- 5G Networks2▲ 13×2 topics
- Depth Estimation2▲ 31×2 topics
- Action Recognition1▲ 49×1 topic
- Spatiotemporal Features1▲ 49×1 topic
- Semiconductor Lasers1▲ 35×2 topics
- Microwave Photonics1▲ 23×2 topics
- Optical Modulators1▲ 15×1 topic
- Silicon Photonics1▲ 20×1 topic
- Smart Cities1▲ 8.6×2 topics
Which research topics does NEC (United States) publish most on?
By volume in 2022–2025: Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Advanced Fiber Optic Sensors 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 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 3 Advanced Fiber Optic Sensors Electrical and Electronic Engineering 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 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works
- 7 Human Pose and Action Recognition Computer Vision and Pattern Recognition 1 works
- 8 Photonic and Optical Devices Electrical and Electronic Engineering 1 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
- 10 Advanced Photonic Communication Systems Electrical and Electronic Engineering 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: 28% of research is openly available.
World: 19% is written across borders.
How has NEC (United States)'s research output changed?
Output in 2018–2022 was 38% 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 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 are in the interactive view on the map.