Amazon (United States)
In research, Amazon (United States) stands highest in Computer Science (#340 of 4,417 worldwide), Physical Sciences (#916 of 10,670 worldwide) and Artificial Intelligence (#263 of 1,862 worldwide), 2022-now. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition (Signal Processing is 11.1× its share of world research).
- World rank, 2022-now
- #1,236 of 22,385 · #1,569 all time
- Rank in United States
- #271 of 3,332
- Research works
- 5k ▲ 95% vs 2018-21
- Citations
- 70k 14.2 per fractional work
- Top-10% rate
- 9.0% all institutions 10.0%
- vs its own fields
- 0.99× 1.00× is exactly expected
- Open access
- 63% world 40%
- International
- 42% world 18%
What is Amazon (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #340 of 4,417 | 10.1% | 1,192 | #446 | |
| Physical SciencesDomain | #916 of 10,670 | 10.2% | 1,622 | #1212 | |
| Artificial IntelligenceSubfield | #263 of 1,862 | 10.7% | 568 | #326 | |
| Social SciencesDomain | #1,494 of 9,585 | 9.2% | 498 | #1643 | |
| Business, Management and AccountingField | #484 of 2,581 | 9.9% | 119 | #923 | |
| EngineeringField | #1,298 of 5,901 | 9.3% | 255 | #1722 | |
| Health SciencesDomain | #3,060 of 9,902 | 5.3% | 191 | #4498 | |
| Computer Vision and Pattern RecognitionSubfield | #318 of 963 | 9.9% | 208 | #383 | |
| Social SciencesField | #2,014 of 5,988 | 8.2% | 187 | #1843 | |
| Life SciencesDomain | #2,166 of 6,403 | 6.7% | 123 | #2291 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#446 #340
- Physical Sciences#1,212 #916
- Artificial Intelligence#326 #263
- Social Sciences#1,643 #1,494
- Business, Management and Accounting#923 #484
- Engineering#1,722 #1,298
- Health Sciences#4,498 #3,060
- Computer Vision and Pattern Recognition#383 #318
- Social Sciences#1,843 #2,014
- Life Sciences#2,291 #2,166
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Amazon (United States) work in?
In 2022-now, 66% of research at Amazon (United States) is in Physical Sciences, 21% in Social Sciences. Its largest fields are Computer Science (49%), Engineering (10%), Social Sciences (8%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences1,83466.4%
- Computer Science1,35949.2%
- Engineering28110.2%
- Environmental Science1094.0%
- Mathematics301.1%
- Physics and Astronomy190.7%
- Earth and Planetary Sciences140.5%
- Materials Science100.4%
- Energy70.3%
- Chemistry40.1%
- Chemical Engineering10.0%
- Social Sciences58421.1%
- Social Sciences2117.6%
- Business, Management and Accounting1405.1%
- Decision Sciences1003.6%
- Economics, Econometrics and Finance542.0%
- Psychology471.7%
- Arts and Humanities311.1%
- Health Sciences2097.6%
- Medicine1284.6%
- Health Professions592.2%
- Dentistry160.6%
- Nursing40.2%
- Veterinary10.0%
- Life Sciences1364.9%
What does Amazon (United States) specialise in?
Where its research is concentrated relative to its size: Signal Processing takes 11.1× the share of its output that it takes of world research.
- Signal ProcessingSubfield · 93.1 works11×
- Artificial IntelligenceSubfield · 640.9 works9.6×
- Computer Vision and Pattern RecognitionSubfield · 228.2 works6.5×
- Computer ScienceField · 1,358.9 works6.3×
- Management Science and Operations ResearchSubfield · 74.3 works5.5×
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, 6.3×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science6.32×1,359 works
- Decision Sciences3.76×100 works
- Business, Management and Accounting1.57×140 works
- Dentistry1.20×16 works
- Economics, Econometrics and Finance0.92×54 works
- Mathematics0.91×30 works
- Health Professions0.82×60 works
- Environmental Science0.80×109 works
- Engineering0.68×281 works
- Social Sciences0.60×211 works
- Agricultural and Biological Sciences0.56×73 works
- Psychology0.56×47 works
- Neuroscience0.41×19 works
- Arts and Humanities0.39×31 works
- Earth and Planetary Sciences0.33×14 works
- Nursing0.32×4 works
- Physics and Astronomy0.31×19 works
- Veterinary0.28×1 works
- Energy0.27×7 works
- Biochemistry, Genetics and Molecular Biology0.25×37 works
- Medicine0.24×128 works
- Immunology and Microbiology0.22×6 works
- Pharmacology, Toxicology and Pharmaceutics0.21×2 works
- Materials Science0.11×10 works
- Chemical Engineering0.09×1 works
- Chemistry0.09×4 works
- Computer Science 6.3×
- Decision Sciences 3.8×
- Business, Management and Accounting 1.6×
- Dentistry 1.2×
- Economics, Econometrics and Finance 0.9×
- Mathematics 0.9×
- Health Professions 0.8×
- Environmental Science 0.8×
- Engineering 0.7×
- Social Sciences 0.6×
- Agricultural and Biological Sciences 0.6×
- Psychology 0.6×
- Neuroscience 0.4×
- Arts and Humanities 0.4×
- Earth and Planetary Sciences 0.3×
- Nursing 0.3×
- Physics and Astronomy 0.3×
- Veterinary 0.3×
- Energy 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Medicine 0.2×
- Immunology and Microbiology 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Materials Science 0.1×
- Chemical Engineering 0.1×
- Chemistry 0.1×
Who are the top researchers at Amazon (United States)?
Ranked on the quality score, Li Erran Li, Ramesh M. Nallapati and Dilek Zeynep Hakkani-Tür lead among researchers whose main affiliation is Amazon (United States).
- 1
Li Erran Li
United States · #75,481 worldwide 5.4k citations · 103 works
- 2
Ramesh M. Nallapati
United States · #104,620 worldwide 11k citations · 115 works
- 3
Dilek Zeynep Hakkani-Tür
United States · #236,132 worldwide 9.7k citations · 353 works
- 4
George Pepe Gallardo Gonzales
United States · #247,681 worldwide 693 citations · 24 works
- 5
Joseph Tighe
United States · #357,164 worldwide 2.2k citations · 71 works
- 6
Syama Sundar Rangapuram
United States · #398,986 worldwide 1.8k citations · 34 works
- 7
Shervin Malmasi
United States · #444,531 worldwide 4.6k citations · 159 works
- 8
Markus Dreyer
United States · #482,363 worldwide 974 citations · 60 works
- 9
Da Zhong Zheng
United States · #503,786 worldwide 2.6k citations · 94 works
- 10
Aman Chadha
United States · #580,865 worldwide 1.1k citations · 152 works
Which keywords describe research at Amazon (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Information Retrieval, Text Classification, Big Data, Topic Modeling and Machine Translation.
- Predictive Analytics
- Reinforcement Learning
- Image Captioning
- Semantic Reasoning
- Speaker Verification
- Acoustic Modeling
- Unsupervised Learning
- Anomaly Detection
- Internet of Things
- Distributed Systems
- Supply Chain Management
- Neural Machine Translation
- Security
- Healthcare
- Sustainability
- Semantic Similarity
- Topic Modeling
- Text Classification
- Information Retrieval
- Neural Networks
- Deep Learning
- Machine Learning
- Big Data
- Convolutional Neural Networks
- Machine Translation
- Word Representation
- Artificial Intelligence
- Deep Neural Networks
- Corpus Linguistics
- Statistical Machine Translation
- Representation Learning
- Semi-Supervised Learning
- Data Mining
- Cloud Computing
- Hidden Markov Models
- IoT Security
- Meta-Learning
- Visual Question Answering
- Multimodal Fusion
- Data Integration
Size is fractional works in 2022-now 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 Learning509▲ 5.3×78 topics
- Neural Networks359▲ 8.4×32 topics
- Machine Learning283▲ 3.1×86 topics
- Information Retrieval148▲ 25×5 topics
- Big Data141▲ 5.3×29 topics
- Text Classification128▲ 29×3 topics
- Convolutional Neural Networks120▲ 6.0×14 topics
- Topic Modeling117▲ 28×3 topics
- Machine Translation113▲ 25×2 topics
- Semantic Similarity113▲ 33×1 topic
- Word Representation113▲ 33×1 topic
- Sustainability107▲ 1.58×71 topics
- Artificial Intelligence88▲ 2.2×38 topics
- Healthcare84▲ 2.7×23 topics
- Deep Neural Networks81▲ 24×3 topics
- Security77▲ 4.2×20 topics
- Corpus Linguistics74▲ 13×5 topics
- Neural Machine Translation72▲ 29×1 topic
- Statistical Machine Translation72▲ 29×1 topic
- Supply Chain Management71▲ 2.9×21 topics
- Representation Learning67▲ 15×3 topics
- Distributed Systems66▲ 14×6 topics
- Semi-Supervised Learning64▲ 19×3 topics
- Internet of Things64▲ 2.7×25 topics
- Data Mining60▲ 3.0×17 topics
- Anomaly Detection57▲ 7.2×3 topics
- Cloud Computing51▲ 6.5×11 topics
- Unsupervised Learning49▲ 12×3 topics
- Hidden Markov Models46▲ 28×2 topics
- Acoustic Modeling44▲ 43×1 topic
- IoT Security44▲ 5.2×3 topics
- Speaker Verification44▲ 43×1 topic
- Meta-Learning44▲ 18×2 topics
- Semantic Reasoning41▲ 16×2 topics
- Visual Question Answering41▲ 16×2 topics
- Image Captioning40▲ 26×1 topic
- Multimodal Fusion40▲ 26×1 topic
- Reinforcement Learning40▲ 13×4 topics
- Data Integration39▲ 8.3×6 topics
- Predictive Analytics38▲ 13×2 topics
Which research topics does Amazon (United States) publish most on?
By volume in 2022-now: Topic Modeling, Natural Language Processing Techniques, Speech Recognition and Synthesis and Multimodal Machine Learning Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 113 works
- 2 Natural Language Processing Techniques Artificial Intelligence 72 works
- 3 Speech Recognition and Synthesis Artificial Intelligence 44 works
- 4 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 40 works
- 5 Big Data and Business Intelligence Management Information Systems 34 works
- 6 Speech and dialogue systems Artificial Intelligence 30 works
- 7 Speech and Audio Processing Signal Processing 29 works
- 8 Cloud Computing and Resource Management Information Systems 28 works
- 9 Music and Audio Processing Signal Processing 27 works
- 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 26 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: 40% of research is openly available.
World: 18% is written across borders.
How has Amazon (United States)'s research output changed?
Output in 2022-2025 was 95% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Amazon (United States) as a percentage of every work published that year, 0.012% in 2024.
Fractional works of Amazon (United States) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 18.8% in 2008.
Other research institutions in Seattle
- University of Washington
- Seattle University
- Fred Hutch Cancer Center
- Seattle Children's Hospital
- Allen Institute
- Virginia Mason Medical Center
- Cancer Research And Biostatistics
- Williams & Associates
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Questions people ask
What does Amazon publish research on?
In research, Amazon (United States) stands highest in Computer Science (#340 of 4,417 worldwide), Physical Sciences (#916 of 10,670 worldwide) and Artificial Intelligence (#263 of 1,862 worldwide), 2022-now. Relative to its size it is most specialised in Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition (Signal Processing is 11.1× its share of world research).
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