Science Explorer Interactive view Map
University · Munich · ??

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.

FieldWorld rankWhere that sitsTop-10% rateWorksAll 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.

  1. Artificial IntelligenceSubfield · 39.9 works12×
  2. Computer ScienceField · 69.8 works6.6×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.01× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.79× its world share, 6 worksBiochemistry, Geneti…Immunology and Microbiology: 0.05× its world share, 0 worksImmunology and Micro…Neuroscience: 0.99× its world share, 2 worksNeuroscienceChemical Engineering: 0.32× its world share, 0 worksChemical EngineeringChemistry: 0.10× its world share, 0 worksChemistryComputer Science: 6.63× its world share, 70 worksComputer ScienceEarth and Planetary Sciences: 1.08× its world share, 2 worksEarth and Planetary …Engineering: 0.70× its world share, 14 worksEngineeringEnvironmental Science: 0.76× its world share, 5 worksEnvironmental ScienceMaterials Science: 0.13× its world share, 1 worksMaterials ScienceMathematics: 3.29× its world share, 5 worksMathematicsPhysics and Astronomy: 0.70× its world share, 2 worksPhysics and AstronomyDentistry: 0.25× its world share, 0 worksDentistryHealth Professions: 0.26× its world share, 1 worksHealth ProfessionsMedicine: 0.44× its world share, 12 worksMedicineNursing: 0.08× its world share, 0 worksNursingArts and Humanities: 0.16× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.17× its world share, 1 worksBusiness, Management…Decision Sciences: 2.26× its world share, 3 worksDecision SciencesEconomics, Econometrics and Finance: 0.34× its world share, 1 worksEconomics, Econometr…Psychology: 0.62× its world share, 2 worksPsychologySocial Sciences: 0.41× its world share, 7 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.6×. Every wedge is a field page.

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning31▲ 6.7×53 topics
  2. Machine Learning21▲ 4.8×51 topics
  3. Neural Networks17▲ 8.0×23 topics
  4. Deep Neural Networks8▲ 54×3 topics
  5. Convolutional Neural Networks8▲ 7.8×11 topics
  6. Information Retrieval6▲ 21×3 topics
  7. Text Classification6▲ 28×2 topics
  8. Classification6▲ 9.2×10 topics
  9. Machine Translation5▲ 24×2 topics
  10. Topic Modeling5▲ 27×2 topics
  11. Unsupervised Learning5▲ 27×3 topics
  12. Corpus Linguistics5▲ 18×2 topics
  13. Remote Sensing5▲ 3.1×16 topics
  14. Semantic Similarity5▲ 32×1 topic
  15. Word Representation5▲ 32×1 topic
  16. Neural Machine Translation5▲ 38×1 topic
  17. Statistical Machine Translation5▲ 38×1 topic
  18. Meta-Learning5▲ 45×2 topics
  19. Artificial Intelligence5▲ 2.6×11 topics
  20. Big Data5▲ 3.9×11 topics
  21. Surveillance4▲ 12×4 topics
  22. Interpretable Models4▲ 74×1 topic
  23. Machine Learning Interpretability4▲ 74×1 topic
  24. Representation Learning4▲ 21×3 topics
  25. Feature Extraction4▲ 6.1×7 topics
  26. Semi-Supervised Learning4▲ 25×3 topics
  27. Medical Image Analysis4▲ 14×4 topics
  28. Hyperparameter Optimization3▲ 62×2 topics
  29. Medical Imaging3▲ 4.9×7 topics
  30. Convolutional Networks3▲ 16×3 topics
  31. Precision Medicine3▲ 5.0×6 topics
  32. Transfer Learning3▲ 12×3 topics
  33. Image Classification3▲ 13×2 topics
  34. Instance Selection3▲ 73×1 topic
  35. Noisy Labels3▲ 73×1 topic
  36. 3D Reconstruction3▲ 23×2 topics
  37. Point Clouds3▲ 23×2 topics
  38. High-Dimensional Data3▲ 13×3 topics
  39. Terrestrial Laser Scanning3▲ 16×2 topics
  40. 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.

  1. 1 Topic Modeling Artificial Intelligence 5 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 5 works
  3. 3 Explainable Artificial Intelligence (XAI) Artificial Intelligence 4 works
  4. 4 Machine Learning and Data Classification Artificial Intelligence 3 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
  6. 6 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
  8. 8 Ethics and Social Impacts of AI Safety Research 2 works
  9. 9 3D Shape Modeling and Analysis Computational Mechanics 2 works
  10. 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.

openly available66.4%not open33.6%

World: 28% of research is openly available.

with international co-authors42.5%domestic only57.5%

World: 19% is written across borders.

Other research institutions in Munich

All research institutions in Munich

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.