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Amazon (United States)

In research, Amazon (United States) stands highest in Computer Science (#306 of 4,667 worldwide), Artificial Intelligence (#200 of 1,884 worldwide) and Physical Sciences (#2,188 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition — Signal Processing is 11.7× its share of world research.

amazon.comROR OpenAlex
World rank, 2022–2025
#3,184
of 28,054 · #6,278 all time
Rank in United States
#453
of 4,192
Research works
4k
▲ 293% vs 2013–17
Citations
54k
13.5 per fractional work
Top-10% rate
15.1%
record average 16.5%
Open access
60%
world 28%

What is Amazon (United States) 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 #306 of 4,667 16.3%987 #817
Artificial IntelligenceSubfield #200 of 1,884 17.9%468 #451
Physical SciencesDomain #2,188 of 12,888 15.9%1,347 #4764
Social SciencesDomain #3,356 of 10,521 16.5%413 #5319
EngineeringField #2,437 of 6,636 13.7%212 #5156
Computer Vision and Pattern RecognitionSubfield #359 of 941 13.2%162 #610
Information SystemsSubfield #514 of 1,291 16.3%131 #784
Computer Networks and CommunicationsSubfield #368 of 705 14.8%87 #781
Business, Management and AccountingField #1,460 of 2,578 20.0%102 #2699
Social SciencesField #3,700 of 6,365 12.9%154 #5396

Each strip is that field’s whole ranked pool, with the notch where Amazon (United States) 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#817 #306
  2. Artificial Intelligence#451 #200
  3. Physical Sciences#4,764 #2,188
  4. Social Sciences#5,319 #3,356
  5. Engineering#5,156 #2,437
  6. Computer Vision and Pattern Recognition#610 #359
  7. Information Systems#784 #514
  8. Computer Networks and Communications#781 #368
  9. Business, Management and Accounting#2,699 #1,460
  10. Social Sciences#5,396 #3,700
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 (United States) specialise in?

Where its research is concentrated relative to its size: Signal Processing takes 11.7× the share of its output that it takes of world research.

  1. Signal ProcessingSubfield · 72.1 works12×
  2. Artificial IntelligenceSubfield · 467.7 works9.5×
  3. Computer Vision and Pattern RecognitionSubfield · 161.9 works6.3×
  4. Computer ScienceField · 987.4 works6.2×
  5. Management Information SystemsSubfield · 47.5 works5.7×
← 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: 0.61× its world share, 59 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.25× its world share, 27 worksBiochemistry, Geneti…Immunology and Microbiology: 0.22× its world share, 4 worksImmunology and Micro…Neuroscience: 0.38× its world share, 12 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.26× its world share, 2 worksPharmacology, Toxico…Chemical Engineering: 0.11× its world share, 1 worksChemical EngineeringChemistry: 0.08× its world share, 3 worksChemistryComputer Science: 6.23× its world share, 987 worksComputer ScienceEarth and Planetary Sciences: 0.31× its world share, 10 worksEarth and Planetary …Energy: 0.28× its world share, 5 worksEnergyEngineering: 0.69× its world share, 212 worksEngineeringEnvironmental Science: 0.85× its world share, 86 worksEnvironmental ScienceMaterials Science: 0.11× its world share, 8 worksMaterials ScienceMathematics: 0.80× its world share, 19 worksMathematicsPhysics and Astronomy: 0.35× its world share, 16 worksPhysics and AstronomyDentistry: 1.59× its world share, 16 worksDentistryHealth Professions: 0.94× its world share, 51 worksHealth ProfessionsMedicine: 0.26× its world share, 103 worksMedicineNursing: 0.36× its world share, 4 worksNursingVeterinary: 0.27× its world share, 1 worksVeterinaryArts and Humanities: 0.36× its world share, 22 worksArts and HumanitiesBusiness, Management and Accounting: 1.56× its world share, 102 worksBusiness, Management…Decision Sciences: 3.45× its world share, 68 worksDecision SciencesEconomics, Econometrics and Finance: 0.80× its world share, 35 worksEconomics, Econometr…Psychology: 0.53× its world share, 33 worksPsychologySocial Sciences: 0.60× its world share, 154 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.2×. Every wedge is a field page.

Who are the top researchers at Amazon (United States)?

Ranked on the composite score, Hang Zhang, Haibin Lin and Shervin Malmasi lead among researchers whose main affiliation is Amazon (United States).

  1. 1 Hang Zhang · #37,243 worldwide 731 citations · 39 works
  2. 2 Haibin Lin · #89,939 worldwide 552 citations · 24 works
  3. 3 Shervin Malmasi · #101,641 worldwide 272 citations · 39 works
  4. 4 Wael Hamza · #175,387 worldwide 257 citations · 20 works
  5. 5 Martin J. A. Schuetz · #420,910 worldwide 154 citations · 15 works
  6. 6 Behnam Hedayatnia · #435,346 worldwide 145 citations · 17 works
  7. 7 Karthik Subbian · #535,446 worldwide 157 citations · 22 works
  8. 8 Spyros Matsoukas · #536,002 worldwide 109 citations · 36 works
  9. 9 Zongyi Liu · #655,313 worldwide 127 citations · 15 works
  10. 10 Eric Engle · #720,605 worldwide 20 citations · 43 works
All ranked researchers at Amazon (United States)

Which keywords describe research at Amazon (United States)?

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, Big Data and Convolutional Neural Networks.

▲ 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 Learning374▲ 5.4×76 topics
  2. Neural Networks261▲ 8.3×32 topics
  3. Machine Learning203▲ 3.0×84 topics
  4. Information Retrieval108▲ 24×5 topics
  5. Big Data100▲ 5.4×28 topics
  6. Convolutional Neural Networks94▲ 6.3×14 topics
  7. Text Classification93▲ 29×3 topics
  8. Topic Modeling85▲ 28×3 topics
  9. Sustainability84▲ 1.69×64 topics
  10. Machine Translation83▲ 24×2 topics
  11. Semantic Similarity82▲ 33×1 topic
  12. Word Representation82▲ 33×1 topic
  13. Healthcare66▲ 2.9×23 topics
  14. Supply Chain Management58▲ 3.0×19 topics
  15. Deep Neural Networks58▲ 26×3 topics
  16. Artificial Intelligence57▲ 2.0×34 topics
  17. Corpus Linguistics53▲ 12×5 topics
  18. Neural Machine Translation52▲ 26×1 topic
  19. Statistical Machine Translation52▲ 26×1 topic
  20. Internet of Things51▲ 2.9×23 topics
  21. Security49▲ 3.7×20 topics
  22. Data Mining48▲ 3.2×17 topics
  23. Distributed Systems47▲ 14×6 topics
  24. Representation Learning44▲ 16×3 topics
  25. Semi-Supervised Learning44▲ 19×3 topics
  26. Anomaly Detection42▲ 7.0×3 topics
  27. Hidden Markov Models38▲ 32×2 topics
  28. Acoustic Modeling37▲ 48×1 topic
  29. IoT Security37▲ 5.6×3 topics
  30. Speaker Verification37▲ 48×1 topic
  31. Cloud Computing36▲ 6.3×10 topics
  32. Unsupervised Learning33▲ 11×3 topics
  33. Predictive Analytics31▲ 14×2 topics
  34. Firm Performance30▲ 7.8×4 topics
  35. Meta-Learning29▲ 18×2 topics
  36. Reinforcement Learning29▲ 13×4 topics
  37. Analytics29▲ 15×1 topic
  38. Business Intelligence29▲ 15×1 topic
  39. Resource Management29▲ 8.2×4 topics
  40. Data Integration28▲ 8.2×6 topics

Which research topics does Amazon (United States) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Speech Recognition and Synthesis and Big Data and Business Intelligence.

Topic Modeling82Topic Modeling: 82 fractional worksNatural Language Processing Techniques: 52 fractional worksSpeech Recognition and Synthesis: 37 fractional worksBig Data and Business Intelligence: 29 fractional worksMultimodal Machine Learning Applications: 26 fractional worksSpeech and Audio Processing: 23 fractional worksMusic and Audio Processing: 22 fractional worksSpeech and dialogue systems: 22 fractional worksCloud Computing and Resource Management: 22 fractional worksRecommender Systems and Techniques: 19 fractional works
Artificial IntelligenceManagement Information SystemsComputer Vision and Pattern RecognitionSignal Processing1 others

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

  1. 1 Topic ModelingArtificial Intelligence 82 works
  2. 2 Natural Language Processing TechniquesArtificial Intelligence 52 works
  3. 3 Speech Recognition and SynthesisArtificial Intelligence 37 works
  4. 4 Big Data and Business IntelligenceManagement Information Systems 29 works
  5. 5 Multimodal Machine Learning ApplicationsComputer Vision and Pattern Recognition 26 works
  6. 6 Speech and Audio ProcessingSignal Processing 23 works
  7. 7 Music and Audio ProcessingSignal Processing 22 works
  8. 8 Speech and dialogue systemsArtificial Intelligence 22 works
  9. 9 Cloud Computing and Resource ManagementInformation Systems 22 works
  10. 10 Recommender Systems and TechniquesInformation Systems 19 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 available59.8%not open40.2%

World: 28% of research is openly available.

with international co-authors38.2%domestic only61.8%

World: 19% is written across borders.

How has Amazon (United States)'s research output changed?

Output in 2018–2022 was 293% 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 Seattle

All research institutions in Seattle

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.