Qualcomm (United Kingdom)
In research, Qualcomm (United Kingdom) stands highest in Physical Sciences (#3,396 of 10,670 worldwide), Computer Science (#1,794 of 4,417 worldwide) and Engineering (#4,598 of 5,901 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Science and Electrical and Electronic Engineering (Computer Vision and Pattern Recognition is 13.6× its share of world research).
- World rank, 2022-now
- #9,118 of 22,385 · #5,811 all time
- Rank in United Kingdom
- #307 of 862
- Research works
- 1.2k ▲ 82% vs 2018-21
- Citations
- 28k 22.7 per fractional work
- Top-10% rate
- 9.7% all institutions 10.0%
- vs its own fields
- 0.97× 1.00× is exactly expected
- Open access
- 30% world 40%
- International
- 65% world 18%
What is Qualcomm (United Kingdom) 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #3,396 of 10,670 | 9.6% | 206 | #2667 | |
| Computer ScienceField | #1,794 of 4,417 | 11.2% | 115 | #1753 | |
| EngineeringField | #4,598 of 5,901 | 7.5% | 78 | #2622 |
Each strip is that field's whole ranked pool, with the notch where Qualcomm (United Kingdom) 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.
- Physical Sciences#2,667 #3,396
- Computer Science#1,753 #1,794
- Engineering#2,622 #4,598
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 Qualcomm (United Kingdom) work in?
In 2022-now, 77% of research at Qualcomm (United Kingdom) is in Physical Sciences, 12% in Social Sciences. Its largest fields are Computer Science (43%), Engineering (29%), Medicine (7%). It does 1.9× 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 25 fields, with their numbers
- Physical Sciences23176.7%
- Computer Science12942.7%
- Engineering8728.8%
- Environmental Science72.2%
- Physics and Astronomy30.9%
- Materials Science20.7%
- Earth and Planetary Sciences20.6%
- Energy10.3%
- Mathematics10.3%
- Chemical Engineering10.2%
- Chemistry00.1%
- Social Sciences3712.3%
- Health Sciences258.1%
- Medicine217.0%
- Health Professions31.0%
- Dentistry00.1%
- Nursing00.1%
- Life Sciences92.8%
What does Qualcomm (United Kingdom) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 13.6× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 51.5 works14×
- Computer ScienceField · 128.6 works5.5×
- Electrical and Electronic EngineeringSubfield · 46.3 works4.3×
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, 5.5×. Every wedge is a field page.
All 25 fields, with their numbers
- Computer Science5.49×129 works
- Engineering1.92×87 works
- Decision Sciences0.97×3 works
- Pharmacology, Toxicology and Pharmaceutics0.80×1 works
- Arts and Humanities0.77×7 works
- Chemical Engineering0.61×1 works
- Social Sciences0.53×20 works
- Psychology0.46×4 works
- Environmental Science0.44×6 works
- Physics and Astronomy0.39×3 works
- Earth and Planetary Sciences0.38×2 works
- Health Professions0.38×3 works
- Energy0.37×1 works
- Medicine0.36×21 works
- Neuroscience0.35×2 works
- Economics, Econometrics and Finance0.31×2 works
- Mathematics0.25×1 works
- Dentistry0.25×0 works
- Agricultural and Biological Sciences0.22×3 works
- Materials Science0.19×2 works
- Biochemistry, Genetics and Molecular Biology0.16×3 works
- Nursing0.14×0 works
- Business, Management and Accounting0.11×1 works
- Immunology and Microbiology0.07×0 works
- Chemistry0.04×0 works
- Computer Science 5.5×
- Engineering 1.9×
- Decision Sciences 1.0×
- Pharmacology, Toxicology and Pharmaceutics 0.8×
- Arts and Humanities 0.8×
- Chemical Engineering 0.6×
- Social Sciences 0.5×
- Psychology 0.5×
- Environmental Science 0.4×
- Physics and Astronomy 0.4×
- Earth and Planetary Sciences 0.4×
- Health Professions 0.4×
- Energy 0.4×
- Medicine 0.4×
- Neuroscience 0.3×
- Economics, Econometrics and Finance 0.3×
- Mathematics 0.2×
- Dentistry 0.2×
- Agricultural and Biological Sciences 0.2×
- Materials Science 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Nursing 0.1×
- Business, Management and Accounting 0.1×
- Immunology and Microbiology 0.1×
- Chemistry 0.0×
Who are the top researchers at Qualcomm (United Kingdom)?
Ranked on the quality score, D. Hsu, Richard van Nee and Phil Karn lead among researchers whose main affiliation is Qualcomm (United Kingdom).
- 1
D. Hsu
United Kingdom · #280,627 worldwide 2.3k citations · 28 works
- 2
Richard van Nee
United Kingdom · #674,899 worldwide 5.7k citations · 23 works
- 3
Phil Karn
United Kingdom · #817,618 worldwide 2.5k citations · 17 works
- 4
Kambiz Azarian
United Kingdom · #1,512,889 worldwide 1.6k citations · 31 works
- 5
Tijmen Blankevoort
United Kingdom · #1,514,060 worldwide 1k citations · 58 works
- 6
Christos Louizos
United Kingdom · #1,529,644 worldwide 2.1k citations · 65 works
- 7
Markus Nagel
United Kingdom · #1,617,587 worldwide 1.2k citations · 101 works
- 8
Debasmit Das
United Kingdom · #1,796,391 worldwide 522 citations · 45 works
- 9
Christopher Lott
United Kingdom · #1,830,787 worldwide 479 citations · 20 works
- 10
Jisoo Jeong
United Kingdom · #1,843,327 worldwide 1.3k citations · 60 works
Which keywords describe research at Qualcomm (United Kingdom)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Networks, Convolutional Neural Networks, Unsupervised Learning, Depth Estimation, Energy Efficiency and Optical Flow.
- Text Classification
- Semi-Supervised Learning
- 5G
- Parallel Computing
- Simulation
- Wireless Communications
- Information Retrieval
- Channel Estimation
- Object Detection
- Representation Learning
- Feature Extraction
- Computer Vision
- Generative Adversarial Networks
- Medical Imaging
- Image Processing
- Stereo Vision
- Depth Estimation
- Energy Efficiency
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Convolutional Networks
- Unsupervised Learning
- Machine Learning
- Optical Flow
- Security
- Massive MIMO
- Wireless Networks
- Sparse Representation
- Image Classification
- Image Recognition
- Beamforming
- Semantic Segmentation
- Image
- Super-Resolution
- Transfer Learning
- MIMO Systems
- Resource Allocation
- Machine Vision
- Channel Modeling
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 Learning60▲ 5.7×54 topics
- Neural Networks29▲ 6.2×20 topics
- Convolutional Networks17▲ 41×3 topics
- Convolutional Neural Networks16▲ 7.2×11 topics
- Unsupervised Learning15▲ 32×3 topics
- Energy Efficiency13▲ 4.8×14 topics
- Machine Learning13▲ 1.33×38 topics
- Depth Estimation12▲ 50×2 topics
- Optical Flow9▲ 64×1 topic
- Stereo Vision9▲ 64×1 topic
- Security9▲ 4.5×14 topics
- Image Processing8▲ 6.0×5 topics
- Massive MIMO8▲ 32×3 topics
- Medical Imaging7▲ 4.4×6 topics
- Wireless Networks7▲ 16×8 topics
- Generative Adversarial Networks7▲ 25×2 topics
- Sparse Representation6▲ 11×5 topics
- Computer Vision6▲ 7.6×3 topics
- Image Classification6▲ 11×2 topics
- Feature Extraction6▲ 4.4×6 topics
- Image Recognition6▲ 13×2 topics
- Representation Learning6▲ 12×3 topics
- Beamforming6▲ 19×4 topics
- Object Detection6▲ 14×1 topic
- Semantic Segmentation6▲ 14×1 topic
- Channel Estimation5▲ 20×4 topics
- Image5▲ 43×1 topic
- Information Retrieval5▲ 7.7×3 topics
- Super-Resolution5▲ 43×1 topic
- Wireless Communications5▲ 9.8×5 topics
- Transfer Learning5▲ 8.7×3 topics
- Simulation5▲ 6.3×4 topics
- MIMO Systems5▲ 20×3 topics
- Parallel Computing5▲ 13×3 topics
- Resource Allocation5▲ 9.0×7 topics
- 5G5▲ 27×3 topics
- Machine Vision5▲ 7.4×3 topics
- Semi-Supervised Learning5▲ 12×3 topics
- Channel Modeling4▲ 12×6 topics
- Text Classification4▲ 9.0×2 topics
Which research topics does Qualcomm (United Kingdom) publish most on?
By volume in 2022-now: Advanced Vision and Imaging, Advanced Neural Network Applications, Advanced Image Processing Techniques and Domain Adaptation and Few-Shot Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Vision and Imaging Computer Vision and Pattern Recognition 9 works
- 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 6 works
- 3 Advanced Image Processing Techniques Computer Vision and Pattern Recognition 5 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 4 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 4 works
- 6 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 4 works
- 7 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 4 works
- 8 Image Enhancement Techniques Computer Vision and Pattern Recognition 4 works
- 9 Parallel Computing and Optimization Techniques Hardware and Architecture 3 works
- 10 Topic Modeling Artificial Intelligence 3 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 Qualcomm (United Kingdom)'s research output changed?
Output in 2022-2025 was 82% 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 Qualcomm (United Kingdom) as a percentage of every work published that year, 0.00094% in 2024.
Fractional works of Qualcomm (United Kingdom) 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 24.8% in 2013.
Other research institutions in Farnborough
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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
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