Huawei German Research Center
In research, Huawei German Research Center stands highest in Physical Sciences (#10,182 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Science — Computer Science is 6.8× its share of world research.
- World rank, 2022–2025
- #20,327 of 28,054 · #29,639 all time
- Rank in Germany
- #791 of 1,178
- Research works
- 238 ▲ 17% vs 2013–17
- Citations
- 4.6k 19.3 per fractional work
- Top-10% rate
- 17.1% record average 16.5%
- Open access
- 33% world 28%
What is Huawei German Research Center known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #10,182 of 12,888 | 17.1% | 78 | #16098 |
Each strip is that field’s whole ranked pool, with the notch where Huawei German Research Center 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 Huawei German Research Center specialise in?
Where its research is concentrated relative to its size: Computer Science takes 6.8× the share of its output that it takes of world research.
- Computer ScienceField · 44.6 works6.8×
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, 6.8×. Every wedge is a field page.
- Computer Science 6.8×
- Engineering 2.2×
- Physics and Astronomy 1.8×
- Decision Sciences 1.8×
- Psychology 0.4×
- Neuroscience 0.3×
- Materials Science 0.3×
- Earth and Planetary Sciences 0.2×
- Environmental Science 0.1×
- Social Sciences 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Business, Management and Accounting 0.1×
- Agricultural and Biological Sciences 0.0×
Which keywords describe research at Huawei German Research Center?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Energy Efficiency, Distributed Systems, Machine Learning, Neural Networks, 5G Networks, Classification and Virtualization.
- Wireless Communication
- Representation Learning
- MapReduce
- Digital Signal Processing
- Cybersecurity
- Band Parameters
- Nanowires
- Heterogeneous Networks
- Federated Learning
- Wireless Communications
- Deep Neural Networks
- Wireless Networks
- Cloud Computing
- Anomaly Detection
- IoT Security
- Virtualization
- Classification
- Data Mining
- Neural Networks
- Machine Learning
- Deep Learning
- Energy Efficiency
- Distributed Systems
- 5G Networks
- Security
- Convolutional Neural Networks
- Meta-Learning
- Channel Estimation
- Unsupervised Learning
- Resource Management
- Massive MIMO
- Differential Privacy
- Fluid-Structure Interaction
- Iterative Decoding
- Optical Fiber
- Coherent Detection
- Data Centers
- Hyperparameter Optimization
- Noisy Labels
- Smart Cities
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 Learning14▲ 4.8×38 topics
- Machine Learning7▲ 2.6×18 topics
- Energy Efficiency5▲ 6.8×6 topics
- Neural Networks5▲ 3.8×14 topics
- Distributed Systems4▲ 32×5 topics
- Data Mining3▲ 5.5×4 topics
- 5G Networks3▲ 19×5 topics
- Classification3▲ 8.1×5 topics
- Security3▲ 5.5×9 topics
- Virtualization3▲ 45×2 topics
- Convolutional Neural Networks3▲ 4.4×9 topics
- IoT Security3▲ 9.8×3 topics
- Meta-Learning3▲ 39×2 topics
- Anomaly Detection2▲ 10×3 topics
- Channel Estimation2▲ 35×4 topics
- Cloud Computing2▲ 11×3 topics
- Unsupervised Learning2▲ 21×3 topics
- Wireless Networks2▲ 19×6 topics
- Resource Management2▲ 16×2 topics
- Deep Neural Networks2▲ 23×2 topics
- Massive MIMO2▲ 29×3 topics
- Wireless Communications2▲ 13×5 topics
- Differential Privacy2▲ 31×1 topic
- Federated Learning2▲ 31×1 topic
- Fluid-Structure Interaction2▲ 14×3 topics
- Heterogeneous Networks2▲ 23×2 topics
- Iterative Decoding2▲ 84×2 topics
- Nanowires2▲ 15×3 topics
- Optical Fiber2▲ 20×2 topics
- Band Parameters2▲ 36×2 topics
- Coherent Detection2▲ 46×1 topic
- Cybersecurity2▲ 8.7×3 topics
- Data Centers2▲ 34×1 topic
- Digital Signal Processing2▲ 41×1 topic
- Hyperparameter Optimization2▲ 50×1 topic
- MapReduce2▲ 34×1 topic
- Noisy Labels2▲ 68×1 topic
- Representation Learning2▲ 15×3 topics
- Smart Cities2▲ 8.0×4 topics
- Wireless Communication2▲ 13×3 topics
Which research topics does Huawei German Research Center publish most on?
By volume in 2022–2025: Privacy-Preserving Technologies in Data, Machine Learning and Data Classification, Optical Network Technologies and Cloud Computing and Resource Management.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Privacy-Preserving Technologies in Data Artificial Intelligence 2 works
- 2 Machine Learning and Data Classification Artificial Intelligence 2 works
- 3 Optical Network Technologies Electrical and Electronic Engineering 2 works
- 4 Cloud Computing and Resource Management Information Systems 2 works
- 5 Software-Defined Networks and 5G Computer Networks and Communications 1 works
- 6 Silicon Carbide Semiconductor Technologies Electrical and Electronic Engineering 1 works
- 7 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 1 works
- 8 Security and Verification in Computing Artificial Intelligence 1 works
- 9 GaN-based semiconductor devices and materials Condensed Matter Physics 1 works
- 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 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 Huawei German Research Center's research output changed?
Output in 2018–2022 was 17% higher 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 Munich
- Ludwig-Maximilians-Universität München
- Max Planck Society
- Technical University of Munich
- Siemens (Germany)
- München Klinik
- LMU Klinikum
- Munich University of Applied Sciences
- TUM Klinikum
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.