Munich Center for Machine Learning
In research, Munich Center for Machine Learning stands highest in Computer Science (#977 of 4,667 worldwide) and Physical Sciences (#5,246 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 12.2× its share of world research.
- World rank, 2022–2025
- #7,755 of 28,054 · #20,599 all time
- Rank in ??
- #123 of 692
- Research works
- 158 fractional, all time
- Citations
- 1.8k 11.2 per fractional work
- Top-10% rate
- 42.7% record average 16.5%
- Open access
- 66% world 28%
What is Munich Center for Machine Learning 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 |
|---|---|---|---|---|---|
| Computer ScienceField | #977 of 4,667 | 40.8% | 70 | — | |
| Physical SciencesDomain | #5,246 of 12,888 | 41.3% | 100 | — |
Each strip is that field’s whole ranked pool, with the notch where Munich Center for Machine Learning 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 Munich Center for Machine Learning specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 12.2× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 39.9 works12×
- Computer ScienceField · 69.8 works6.6×
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, 6.6×. Every wedge is a field page.
- Computer Science 6.6×
- Mathematics 3.3×
- Decision Sciences 2.3×
- Earth and Planetary Sciences 1.1×
- Neuroscience 1.0×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Environmental Science 0.8×
- Engineering 0.7×
- Physics and Astronomy 0.7×
- Psychology 0.6×
- Medicine 0.4×
- Social Sciences 0.4×
- Economics, Econometrics and Finance 0.3×
- Chemical Engineering 0.3×
- Health Professions 0.3×
- Dentistry 0.2×
- Business, Management and Accounting 0.2×
- Arts and Humanities 0.2×
- Materials Science 0.1×
- Chemistry 0.1×
- Nursing 0.1×
- Immunology and Microbiology 0.1×
- Agricultural and Biological Sciences 0.0×
Which keywords describe research at Munich Center for Machine Learning?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Deep Neural Networks, Convolutional Neural Networks, Information Retrieval, Text Classification and Classification.
- Natural Language Processing
- High-Dimensional Data
- 3D Reconstruction
- Instance Selection
- Transfer Learning
- Convolutional Networks
- Hyperparameter Optimization
- Semi-Supervised Learning
- Representation Learning
- Interpretable Models
- Big Data
- Meta-Learning
- Neural Machine Translation
- Semantic Similarity
- Corpus Linguistics
- Topic Modeling
- Classification
- Information Retrieval
- Deep Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Convolutional Neural Networks
- Text Classification
- Machine Translation
- Unsupervised Learning
- Remote Sensing
- Word Representation
- Statistical Machine Translation
- Artificial Intelligence
- Surveillance
- Machine Learning Interpretability
- Feature Extraction
- Medical Image Analysis
- Medical Imaging
- Precision Medicine
- Image Classification
- Noisy Labels
- Point Clouds
- Terrestrial Laser Scanning
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 Learning31▲ 6.7×53 topics
- Machine Learning21▲ 4.8×51 topics
- Neural Networks17▲ 8.0×23 topics
- Deep Neural Networks8▲ 54×3 topics
- Convolutional Neural Networks8▲ 7.8×11 topics
- Information Retrieval6▲ 21×3 topics
- Text Classification6▲ 28×2 topics
- Classification6▲ 9.2×10 topics
- Machine Translation5▲ 24×2 topics
- Topic Modeling5▲ 27×2 topics
- Unsupervised Learning5▲ 27×3 topics
- Corpus Linguistics5▲ 18×2 topics
- Remote Sensing5▲ 3.1×16 topics
- Semantic Similarity5▲ 32×1 topic
- Word Representation5▲ 32×1 topic
- Neural Machine Translation5▲ 38×1 topic
- Statistical Machine Translation5▲ 38×1 topic
- Meta-Learning5▲ 45×2 topics
- Artificial Intelligence5▲ 2.6×11 topics
- Big Data5▲ 3.9×11 topics
- Surveillance4▲ 12×4 topics
- Interpretable Models4▲ 74×1 topic
- Machine Learning Interpretability4▲ 74×1 topic
- Representation Learning4▲ 21×3 topics
- Feature Extraction4▲ 6.1×7 topics
- Semi-Supervised Learning4▲ 25×3 topics
- Medical Image Analysis4▲ 14×4 topics
- Hyperparameter Optimization3▲ 62×2 topics
- Medical Imaging3▲ 4.9×7 topics
- Convolutional Networks3▲ 16×3 topics
- Precision Medicine3▲ 5.0×6 topics
- Transfer Learning3▲ 12×3 topics
- Image Classification3▲ 13×2 topics
- Instance Selection3▲ 73×1 topic
- Noisy Labels3▲ 73×1 topic
- 3D Reconstruction3▲ 23×2 topics
- Point Clouds3▲ 23×2 topics
- High-Dimensional Data3▲ 13×3 topics
- Terrestrial Laser Scanning3▲ 16×2 topics
- Natural Language Processing2▲ 8.0×6 topics
Which research topics does Munich Center for Machine Learning publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI) and Machine Learning and Data Classification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 5 works
- 2 Natural Language Processing Techniques Artificial Intelligence 5 works
- 3 Explainable Artificial Intelligence (XAI) Artificial Intelligence 4 works
- 4 Machine Learning and Data Classification Artificial Intelligence 3 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
- 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 8 Ethics and Social Impacts of AI Safety Research 2 works
- 9 3D Shape Modeling and Analysis Computational Mechanics 2 works
- 10 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 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.
Other research institutions in Munich
- Institut für Mikrobiologie der Bundeswehr
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe
- Institute of Diabetes Research
- Institut für Pharmakologie und Toxikologie der Bundeswehr
- Botanische Staatssammlung München
- Institut für Radiobiologie der Bundeswehr
- Institute of Biological and Medical Imaging
- Andrologicum München
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.