Microsoft (United States)
In research, Microsoft (United States) stands highest in Computer Science (#18 of 4,417 worldwide), Artificial Intelligence (#13 of 1,862 worldwide) and Computer Vision and Pattern Recognition (#16 of 963 worldwide), 2022-now. Relative to its size it is most specialised in Software, Hardware and Architecture and Signal Processing (Software is 14.8× its share of world research).
- World rank, 2022-now
- #293 of 22,385 · #161 all time
- Rank in United States
- #83 of 3,332
- Research works
- 28k ▼ 10% vs 2018-21
- Citations
- 2M 71.0 per fractional work
- Top-10% rate
- 20.7% all institutions 10.0%
- vs its own fields
- 1.71× 1.00× is exactly expected
- Open access
- 30% world 40%
- International
- 41% world 18%
What is Microsoft (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 | #18 of 4,417 | 23.6% | 2,154 | #7 | |
| Artificial IntelligenceSubfield | #13 of 1,862 | 22.4% | 916 | #7 | |
| Computer Vision and Pattern RecognitionSubfield | #16 of 963 | 30.1% | 395 | #2 | |
| Physical SciencesDomain | #197 of 10,670 | 22.8% | 2,724 | #94 | |
| Information SystemsSubfield | #27 of 1,321 | 18.9% | 247 | #1 | |
| Computer Networks and CommunicationsSubfield | #18 of 728 | 21.0% | 230 | #2 | |
| Social SciencesDomain | #448 of 9,585 | 19.0% | 560 | #249 | |
| EngineeringField | #313 of 5,901 | 18.5% | 356 | #216 | |
| Signal ProcessingSubfield | #10 of 169 | 24.3% | 134 | #1 | |
| Health SciencesDomain | #765 of 9,902 | 15.6% | 232 | #886 |
Each strip is that field's whole ranked pool, with the notch where Microsoft (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#7 #18
- Artificial Intelligence#7 #13
- Computer Vision and Pattern Recognition#2 #16
- Physical Sciences#94 #197
- Information Systems#1 #27
- Computer Networks and Communications#2 #18
- Social Sciences#249 #448
- Engineering#216 #313
- Signal Processing#1 #10
- Health Sciences#886 #765
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 Microsoft (United States) work in?
In 2022-now, 74% of research at Microsoft (United States) is in Physical Sciences, 15% in Social Sciences. Its largest fields are Computer Science (58%), Engineering (10%), Social Sciences (6%). It does 1.9× 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 Sciences3,02474.1%
- Computer Science2,38458.4%
- Engineering3979.7%
- Physics and Astronomy751.8%
- Environmental Science451.1%
- Mathematics451.1%
- Materials Science391.0%
- Earth and Planetary Sciences240.6%
- Chemistry80.2%
- Energy30.1%
- Chemical Engineering30.1%
- Social Sciences62015.2%
- Social Sciences2325.7%
- Decision Sciences1303.2%
- Business, Management and Accounting1112.7%
- Psychology751.8%
- Economics, Econometrics and Finance481.2%
- Arts and Humanities250.6%
- Health Sciences2666.5%
- Medicine2065.1%
- Health Professions511.3%
- Nursing50.1%
- Dentistry30.1%
- Veterinary10.0%
- Life Sciences1714.2%
What does Microsoft (United States) specialise in?
Where its research is concentrated relative to its size: Software takes 14.8× the share of its output that it takes of world research.
- SoftwareSubfield · 38.9 works15×
- Hardware and ArchitectureSubfield · 58.8 works13×
- Signal ProcessingSubfield · 142.8 works12×
- Artificial IntelligenceSubfield · 1,008.8 works10×
- Computer Vision and Pattern RecognitionSubfield · 424.9 works8.3×
- Health InformaticsSubfield · 39.1 works8.0×
- Computer ScienceField · 2,384.3 works7.5×
- Computer Networks and CommunicationsSubfield · 263.0 works7.2×
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, 7.5×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science7.51×2,384 works
- Decision Sciences3.28×130 works
- Mathematics0.93×45 works
- Business, Management and Accounting0.84×111 works
- Physics and Astronomy0.83×75 works
- Neuroscience0.80×53 works
- Engineering0.65×397 works
- Psychology0.60×75 works
- Economics, Econometrics and Finance0.55×48 works
- Health Professions0.48×51 works
- Social Sciences0.45×232 works
- Biochemistry, Genetics and Molecular Biology0.40×88 works
- Earth and Planetary Sciences0.37×24 works
- Materials Science0.27×39 works
- Medicine0.26×206 works
- Nursing0.25×5 works
- Environmental Science0.22×45 works
- Arts and Humanities0.21×25 works
- Immunology and Microbiology0.18×7 works
- Chemical Engineering0.18×3 works
- Pharmacology, Toxicology and Pharmaceutics0.16×2 works
- Dentistry0.15×3 works
- Veterinary0.13×1 works
- Chemistry0.12×8 works
- Agricultural and Biological Sciences0.10×20 works
- Energy0.09×3 works
- Computer Science 7.5×
- Decision Sciences 3.3×
- Mathematics 0.9×
- Business, Management and Accounting 0.8×
- Physics and Astronomy 0.8×
- Neuroscience 0.8×
- Engineering 0.7×
- Psychology 0.6×
- Economics, Econometrics and Finance 0.6×
- Health Professions 0.5×
- Social Sciences 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Earth and Planetary Sciences 0.4×
- Materials Science 0.3×
- Medicine 0.3×
- Nursing 0.2×
- Environmental Science 0.2×
- Arts and Humanities 0.2×
- Immunology and Microbiology 0.2×
- Chemical Engineering 0.2×
- Pharmacology, Toxicology and Pharmaceutics 0.2×
- Dentistry 0.1×
- Veterinary 0.1×
- Chemistry 0.1×
- Agricultural and Biological Sciences 0.1×
- Energy 0.1×
Who are the top researchers at Microsoft (United States)?
Ranked on the quality score, Richard Szeliski, C. Lawrence Zitnick and Zhe Gan lead among researchers whose main affiliation is Microsoft (United States).
- 1
Richard Szeliski
United States · #934 worldwide 58k citations · 310 works
- 2
C. Lawrence Zitnick
United States · #3,235 worldwide 86k citations · 160 works
- 3
Zhe Gan
United States · #5,905 worldwide 17k citations · 251 works
- 4
Srikanth Kandula
United States · #6,502 worldwide 19k citations · 132 works
- 5
Wen-tau Yih
United States · #10,602 worldwide 19k citations · 188 works
- 6
Meredith Ringel Morris
United States · #11,828 worldwide 19k citations · 278 works
- 7
Paramvir Bahl
United States · #11,928 worldwide 33k citations · 140 works
- 8
Susan Dumais
United States · #12,508 worldwide 58k citations · 340 works
- 9
Ratul Mahajan
United States · #14,269 worldwide 18k citations · 206 works
- 10
Nachiappan Nagappan
United States · #16,330 worldwide 16k citations · 246 works
Which keywords describe research at Microsoft (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Information Retrieval, Text Classification, Topic Modeling and Convolutional Neural Networks.
- MapReduce
- Speaker Verification
- Hidden Markov Models
- Meta-Learning
- Image Captioning
- Visual Question Answering
- Surveillance
- Virtualization
- Cloud Computing
- Representation Learning
- Security
- Healthcare
- Statistical Machine Translation
- Corpus Linguistics
- Artificial Intelligence
- Semantic Similarity
- Topic Modeling
- Convolutional Neural Networks
- Big Data
- Neural Networks
- Deep Learning
- Machine Learning
- Information Retrieval
- Text Classification
- Machine Translation
- Word Representation
- Distributed Systems
- Neural Machine Translation
- Deep Neural Networks
- Data Mining
- Anomaly Detection
- Unsupervised Learning
- Semi-Supervised Learning
- Resource Management
- Semantic Reasoning
- IoT Security
- Multimodal Fusion
- Convolutional Networks
- Acoustic Modeling
- Data Centers
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 Learning810▲ 5.8×75 topics
- Neural Networks573▲ 9.1×36 topics
- Machine Learning505▲ 3.7×86 topics
- Big Data267▲ 6.8×23 topics
- Information Retrieval205▲ 23×5 topics
- Convolutional Neural Networks193▲ 6.5×14 topics
- Text Classification182▲ 27×3 topics
- Topic Modeling178▲ 28×2 topics
- Machine Translation172▲ 25×2 topics
- Semantic Similarity171▲ 34×1 topic
- Word Representation171▲ 34×1 topic
- Artificial Intelligence163▲ 2.8×39 topics
- Distributed Systems152▲ 22×6 topics
- Corpus Linguistics138▲ 16×5 topics
- Neural Machine Translation136▲ 36×1 topic
- Statistical Machine Translation136▲ 36×1 topic
- Deep Neural Networks122▲ 24×3 topics
- Healthcare117▲ 2.5×24 topics
- Data Mining116▲ 3.9×18 topics
- Security112▲ 4.1×21 topics
- Anomaly Detection112▲ 9.5×5 topics
- Representation Learning107▲ 16×3 topics
- Unsupervised Learning103▲ 17×3 topics
- Cloud Computing99▲ 8.5×8 topics
- Semi-Supervised Learning92▲ 18×3 topics
- Virtualization82▲ 24×3 topics
- Resource Management81▲ 12×3 topics
- Surveillance80▲ 7.0×6 topics
- Semantic Reasoning78▲ 21×2 topics
- Visual Question Answering78▲ 21×2 topics
- IoT Security77▲ 6.2×3 topics
- Image Captioning77▲ 34×1 topic
- Multimodal Fusion77▲ 34×1 topic
- Meta-Learning73▲ 21×2 topics
- Convolutional Networks66▲ 12×3 topics
- Hidden Markov Models66▲ 27×3 topics
- Acoustic Modeling63▲ 41×1 topic
- Speaker Verification63▲ 41×1 topic
- Data Centers62▲ 26×1 topic
- MapReduce62▲ 26×1 topic
Which research topics does Microsoft (United States) publish most on?
By volume in 2022-now: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Speech Recognition and Synthesis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 171 works
- 2 Natural Language Processing Techniques Artificial Intelligence 136 works
- 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 77 works
- 4 Speech Recognition and Synthesis Artificial Intelligence 63 works
- 5 Cloud Computing and Resource Management Information Systems 62 works
- 6 Software System Performance and Reliability Computer Networks and Communications 49 works
- 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 48 works
- 8 Ethics and Social Impacts of AI Safety Research 42 works
- 9 Speech and Audio Processing Signal Processing 42 works
- 10 Artificial Intelligence in Healthcare and Education Health Informatics 39 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 Microsoft (United States)'s research output changed?
Output in 2022-2025 was 10% lower 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 Microsoft (United States) as a percentage of every work published that year, 0.015% in 2024.
Fractional works of Microsoft (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 28.6% in 2012.
Other research institutions in Redmond
- Northwest Research Associates
- Sigma Research (United States)
- MicroVision (United States)
- OFM Research (United States)
- Redmond Fire Department
- STI Optronics (United States)
- B.E. Meyers & Co (United States)
- DigiPen Institute of Technology
Which institutions have research most like Microsoft (United States)'s?
Among the world's leading institutions, Alphabet (United States) has the research profile closest to Microsoft (United States)'s, with both strong in Computer Science.
- 1
Alphabet (United States)
United States · Both strong in Computer Science, Decision Sciences 0.89 Compare
- 2
University of Luxembourg
Luxembourg · Both strong in Computer Science, Decision Sciences 0.76 Compare
- 3
Carnegie Mellon University
United States · Both strong in Computer Science, Decision Sciences 0.74 Compare
- 4
Northeastern University
United States · Both strong in Computer Science, Decision Sciences 0.72 Compare
- 5
The University of Texas at Dallas
United States · Both strong in Computer Science, Decision Sciences 0.68 Compare
Similarity is the correlation of each side's location quotients across every field it publishes in, on a log scale: 1 is the same shape of research, 0 is unrelated. It ignores size. How it is measured.
Compare Microsoft (United States) with
- vs
Anhui University
- vs
Leipzig University
- vs
Ocean University of China
- vs
Czech Academy of Sciences
- vs
University of Turin
- vs
University of Iowa
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 Microsoft Research publish research on?
In research, Microsoft (United States) stands highest in Computer Science (#18 of 4,417 worldwide), Artificial Intelligence (#13 of 1,862 worldwide) and Computer Vision and Pattern Recognition (#16 of 963 worldwide), 2022-now. Relative to its size it is most specialised in Software, Hardware and Architecture and Signal Processing (Software is 14.8× its share of world research).
Also asked as
- What does Microsoft Research Asia publish research on?
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