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Amazon (Germany)

In research, Amazon (Germany) stands highest in Computer Science (#1,508 of 4,667 worldwide), Physical Sciences (#6,698 of 12,888 worldwide) and Artificial Intelligence (#1,204 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science — Artificial Intelligence is 9.9× its share of world research.

amazon.deROR OpenAlex
World rank, 2022–2025
#9,994
of 28,054 · #15,012 all time
Rank in Germany
#397
of 1,178
Research works
859
▲ 257% vs 2013–17
Citations
15k
16.9 per fractional work
Top-10% rate
17.1%
record average 16.5%
Open access
73%
world 28%

What is Amazon (Germany) 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 #1,508 of 4,667 21.5%175 #1790
Physical SciencesDomain #6,698 of 12,888 19.1%241 #9928
Artificial IntelligenceSubfield #1,204 of 1,884 20.2%84 #1727
Social SciencesDomain #7,517 of 10,521 15.0%79 #10069

Each strip is that field’s whole ranked pool, with the notch where Amazon (Germany) 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Computer Science#1,790 #1,508
  2. Physical Sciences#9,928 #6,698
  3. Artificial Intelligence#1,727 #1,204
  4. Social Sciences#10,069 #7,517
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Amazon (Germany) specialise in?

Where its research is concentrated relative to its size: Artificial Intelligence takes 9.9× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 84.2 works9.9×
  2. Computer Vision and Pattern RecognitionSubfield · 43.6 works9.8×
  3. Computer ScienceField · 174.9 works6.4×
← less than its size predicts1×more →

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: 0.54× its world share, 9 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.19× its world share, 4 worksBiochemistry, Geneti…Immunology and Microbiology: 0.26× its world share, 1 worksImmunology and Micro…Neuroscience: 0.61× its world share, 4 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.12× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.09× its world share, 0 worksChemical EngineeringChemistry: 0.06× its world share, 0 worksChemistryComputer Science: 6.37× its world share, 175 worksComputer ScienceEarth and Planetary Sciences: 0.36× its world share, 2 worksEarth and Planetary …Energy: 0.53× its world share, 2 worksEnergyEngineering: 0.75× its world share, 40 worksEngineeringEnvironmental Science: 0.75× its world share, 13 worksEnvironmental ScienceMaterials Science: 0.03× its world share, 0 worksMaterials ScienceMathematics: 1.63× its world share, 7 worksMathematicsPhysics and Astronomy: 0.28× its world share, 2 worksPhysics and AstronomyDentistry: 0.23× its world share, 0 worksDentistryHealth Professions: 0.54× its world share, 5 worksHealth ProfessionsMedicine: 0.15× its world share, 10 worksMedicineNursing: 0.35× its world share, 1 worksNursingVeterinary: 0.42× its world share, 0 worksVeterinaryArts and Humanities: 0.35× its world share, 4 worksArts and HumanitiesBusiness, Management and Accounting: 1.40× its world share, 16 worksBusiness, Management…Decision Sciences: 3.71× its world share, 13 worksDecision SciencesEconomics, Econometrics and Finance: 1.39× its world share, 10 worksEconomics, Econometr…Psychology: 0.40× its world share, 4 worksPsychologySocial Sciences: 0.71× its world share, 32 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.4×. Every wedge is a field page.

Who are the top researchers at Amazon (Germany)?

Ranked on the composite score, Mu Li, Bing Xiang and Ramesh Nallapati lead among researchers whose main affiliation is Amazon (Germany).

  1. 1 Mu Li Germany · #45,235 worldwide 1.1k citations · 30 works
  2. 2 Bing Xiang Germany · #46,029 worldwide 421 citations · 45 works
  3. 3 Ramesh Nallapati Germany · #47,618 worldwide 699 citations · 32 works
  4. 4 Zhiheng Huang Germany · #47,933 worldwide 9k citations · 28 works
  5. 5 Tim Januschowski Germany · #152,178 worldwide 239 citations · 21 works
  6. 6 Jan Gasthaus Germany · #185,601 worldwide 154 citations · 22 works
  7. 7 David Salinas Germany · #620,115 worldwide 119 citations · 35 works
  8. 8 Laurent Callot Germany · #945,011 worldwide 39 citations · 16 works
  9. 9 Charith Peris Germany · #945,316 worldwide 47 citations · 19 works
  10. 10 Jie Ma Germany · #1,154,433 worldwide 33 citations · 15 works
All ranked researchers at Amazon (Germany)

Which keywords describe research at Amazon (Germany)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Information Retrieval, Text Classification, Topic Modeling, Machine Translation and Semantic Similarity.

▲ 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 Learning76▲ 6.2×52 topics
  2. Neural Networks51▲ 9.4×28 topics
  3. Machine Learning38▲ 3.2×50 topics
  4. Information Retrieval20▲ 27×4 topics
  5. Text Classification18▲ 33×3 topics
  6. Convolutional Neural Networks17▲ 6.5×10 topics
  7. Topic Modeling17▲ 32×2 topics
  8. Machine Translation16▲ 27×2 topics
  9. Semantic Similarity16▲ 37×1 topic
  10. Word Representation16▲ 37×1 topic
  11. Big Data14▲ 4.4×17 topics
  12. Representation Learning14▲ 28×3 topics
  13. Sustainability14▲ 1.60×31 topics
  14. Corpus Linguistics13▲ 17×3 topics
  15. Neural Machine Translation13▲ 38×1 topic
  16. Statistical Machine Translation13▲ 38×1 topic
  17. Unsupervised Learning12▲ 24×3 topics
  18. Semi-Supervised Learning12▲ 30×3 topics
  19. Artificial Intelligence10▲ 2.1×16 topics
  20. Meta-Learning9▲ 32×2 topics
  21. Deep Neural Networks8▲ 22×3 topics
  22. Semantic Reasoning7▲ 24×2 topics
  23. Visual Question Answering7▲ 24×2 topics
  24. Image Captioning7▲ 39×1 topic
  25. Image Classification7▲ 11×3 topics
  26. Multimodal Fusion7▲ 39×1 topic
  27. Surveillance6▲ 6.7×3 topics
  28. Convolutional Networks6▲ 12×3 topics
  29. Transfer Learning6▲ 9.0×3 topics
  30. Pose Estimation6▲ 15×3 topics
  31. Domain Adaptation6▲ 32×1 topic
  32. Few-Shot Learning6▲ 32×1 topic
  33. Feature Matching6▲ 26×1 topic
  34. Local Descriptors6▲ 26×1 topic
  35. Time Series6▲ 8.8×3 topics
  36. Data Integration5▲ 8.9×5 topics
  37. Generative Adversarial Networks5▲ 17×2 topics
  38. Hyperparameter Optimization5▲ 33×2 topics
  39. Reinforcement Learning5▲ 12×4 topics
  40. Image Recognition5▲ 9.8×1 topic

Which research topics does Amazon (Germany) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.

Topic Modeling16Topic Modeling: 16 fractional worksNatural Language Processing Techniques: 13 fractional worksMultimodal Machine Learning Applications: 7 fractional worksDomain Adaptation and Few-Shot Learning: 6 fractional worksAdvanced Image and Video Retrieval Techniques: 6 fractional worksAdvanced Neural Network Applications: 5 fractional worksGenerative Adversarial Networks and Image Synthesis: 4 fractional worksSpeech Recognition and Synthesis: 4 fractional worksSpeech and dialogue systems: 4 fractional worksAdvanced Graph Neural Networks: 4 fractional works
Artificial IntelligenceComputer Vision and Pattern Recognition

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Topic Modeling Artificial Intelligence 16 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 13 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 7 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 6 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 6 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 5 works
  7. 7 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 4 works
  8. 8 Speech Recognition and Synthesis Artificial Intelligence 4 works
  9. 9 Speech and dialogue systems Artificial Intelligence 4 works
  10. 10 Advanced Graph Neural Networks Artificial Intelligence 4 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 available73.3%not open26.7%

World: 28% of research is openly available.

with international co-authors54.0%domestic only46.0%

World: 19% is written across borders.

How has Amazon (Germany)'s research output changed?

Output in 2018–2022 was 257% higher than in 2013–2017.

1990200020102020
grewheldshrank

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 Berlin

All research institutions in Berlin

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.