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Company · Redmond · United States

Microsoft (United States)

In research, Microsoft (United States) stands highest in Computer Science (#60 of 4,667 worldwide), Artificial Intelligence (#53 of 1,884 worldwide) and Physical Sciences (#637 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Signal Processing and Health Informatics — Hardware and Architecture is 13.2× its share of world research.

World rank, 2022–2025
#941
of 28,054 · #343 all time
Rank in United States
#166
of 4,192
Research works
14k
▼ 32% vs 2013–17
Citations
924k
66.6 per fractional work
Top-10% rate
31.7%
record average 16.5%
Open access
27%
world 28%

What is Microsoft (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 #60 of 4,667 32.5%839 #6
Artificial IntelligenceSubfield #53 of 1,884 34.2%342 #6
Physical SciencesDomain #637 of 12,888 31.5%1,092 #240
Information SystemsSubfield #181 of 1,291 31.1%114 #2
Computer Vision and Pattern RecognitionSubfield #149 of 941 37.1%104 #9
Social SciencesDomain #1,678 of 10,521 32.7%238 #569
EngineeringField #1,524 of 6,636 24.8%152 #609
Social SciencesField #1,632 of 6,365 37.6%88 #529
Computer Networks and CommunicationsSubfield #189 of 705 23.2%111 #7
Health SciencesDomain #4,312 of 11,982 26.0%93 #3885

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 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#6 #60
  2. Artificial Intelligence#6 #53
  3. Physical Sciences#240 #637
  4. Information Systems#2 #181
  5. Computer Vision and Pattern Recognition#9 #149
  6. Social Sciences#569 #1,678
  7. Engineering#609 #1,524
  8. Social Sciences#529 #1,632
  9. Computer Networks and Communications#7 #189
  10. Health Sciences#3,885 #4,312
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 Microsoft (United States) specialise in?

Where its research is concentrated relative to its size: Hardware and Architecture takes 13.2× the share of its output that it takes of world research.

  1. Hardware and ArchitectureSubfield · 22.1 works13×
  2. Signal ProcessingSubfield · 56.6 works13×
  3. Health InformaticsSubfield · 20.2 works11×
  4. Artificial IntelligenceSubfield · 341.7 works9.5×
  5. Computer Networks and CommunicationsSubfield · 111.1 works8.4×
  6. Human-Computer InteractionSubfield · 24.1 works7.9×
  7. Computer ScienceField · 839.4 works7.2×
← 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: 0.09× its world share, 7 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.39× its world share, 31 worksBiochemistry, Geneti…Immunology and Microbiology: 0.13× its world share, 2 worksImmunology and Micro…Neuroscience: 1.11× its world share, 27 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.19× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.10× its world share, 0 worksChemical EngineeringChemistry: 0.11× its world share, 3 worksChemistryComputer Science: 7.25× its world share, 839 worksComputer ScienceEarth and Planetary Sciences: 0.34× its world share, 8 worksEarth and Planetary …Energy: 0.15× its world share, 2 worksEnergyEngineering: 0.68× its world share, 152 worksEngineeringEnvironmental Science: 0.26× its world share, 19 worksEnvironmental ScienceMaterials Science: 0.23× its world share, 12 worksMaterials ScienceMathematics: 1.35× its world share, 24 worksMathematicsPhysics and Astronomy: 0.99× its world share, 33 worksPhysics and AstronomyDentistry: 0.03× its world share, 0 worksDentistryHealth Professions: 0.51× its world share, 20 worksHealth ProfessionsMedicine: 0.25× its world share, 72 worksMedicineNursing: 0.09× its world share, 1 worksNursingArts and Humanities: 0.14× its world share, 6 worksArts and HumanitiesBusiness, Management and Accounting: 1.00× its world share, 48 worksBusiness, Management…Decision Sciences: 3.56× its world share, 51 worksDecision SciencesEconomics, Econometrics and Finance: 0.50× its world share, 16 worksEconomics, Econometr…Psychology: 0.61× its world share, 28 worksPsychologySocial Sciences: 0.47× its world share, 88 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 7.2×. Every wedge is a field page.

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

Ranked on the composite score, Li Deng, John Platt and Susan Dumais lead among researchers whose main affiliation is Microsoft (United States).

  1. 1 Li Deng · #211 worldwide 4.3k citations · 131 works
  2. 2 John Platt · #1,085 worldwide 2.7k citations · 108 works
  3. 3 Susan Dumais · #1,245 worldwide 4.8k citations · 85 works
  4. 4 David Heckerman · #3,679 worldwide 1.5k citations · 83 works
  5. 5 Richard Szeliski · #3,813 worldwide 2.9k citations · 65 works
  6. 6 Thomas Zimmermann · #3,896 worldwide 1.5k citations · 133 works
  7. 7 Zhengyou Zhang · #4,156 worldwide 2.1k citations · 132 works
  8. 8 Xiaodong He · #4,822 worldwide 1.4k citations · 93 works
  9. 9 Kunal Talwar · #4,916 worldwide 2.8k citations · 60 works
  10. 10 Ranveer Chandra · #5,810 worldwide 1.5k citations · 59 works
All ranked researchers at Microsoft (United States)

Which keywords describe research at Microsoft (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Distributed Systems, Information Retrieval, Convolutional Neural Networks and Topic Modeling.

▲ 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 Learning244▲ 4.8×72 topics
  2. Machine Learning195▲ 4.0×80 topics
  3. Neural Networks172▲ 7.5×36 topics
  4. Big Data118▲ 8.8×22 topics
  5. Distributed Systems67▲ 27×6 topics
  6. Artificial Intelligence64▲ 3.2×29 topics
  7. Convolutional Neural Networks63▲ 5.8×14 topics
  8. Information Retrieval58▲ 18×5 topics
  9. Healthcare57▲ 3.4×18 topics
  10. Topic Modeling51▲ 23×2 topics
  11. Text Classification50▲ 21×3 topics
  12. Machine Translation49▲ 20×2 topics
  13. Semantic Similarity49▲ 27×1 topic
  14. Word Representation49▲ 27×1 topic
  15. Data Mining47▲ 4.2×15 topics
  16. Deep Neural Networks46▲ 28×3 topics
  17. Anomaly Detection43▲ 9.9×5 topics
  18. Cloud Computing42▲ 10×7 topics
  19. Corpus Linguistics42▲ 13×4 topics
  20. Security41▲ 4.3×18 topics
  21. Energy Efficiency41▲ 2.9×17 topics
  22. Neural Machine Translation41▲ 28×1 topic
  23. Statistical Machine Translation41▲ 28×1 topic
  24. Resource Management40▲ 16×3 topics
  25. Supply Chain Management39▲ 2.8×13 topics
  26. Virtualization37▲ 31×3 topics
  27. Medical Imaging33▲ 4.3×7 topics
  28. IoT Security31▲ 6.5×3 topics
  29. Precision Medicine30▲ 4.4×6 topics
  30. Feature Extraction30▲ 4.3×10 topics
  31. Surveillance29▲ 7.3×5 topics
  32. Data Centers29▲ 33×1 topic
  33. MapReduce29▲ 33×1 topic
  34. Parallel Computing26▲ 15×5 topics
  35. Hidden Markov Models25▲ 29×2 topics
  36. Acoustic Modeling23▲ 42×1 topic
  37. Speaker Verification23▲ 42×1 topic
  38. High-Performance Computing23▲ 19×2 topics
  39. Data Integration22▲ 8.7×6 topics
  40. Semi-Supervised Learning21▲ 13×3 topics

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

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Cloud Computing and Resource Management and Speech Recognition and Synthesis.

  1. 1 Topic ModelingArtificial Intelligence 49 works
  2. 2 Natural Language Processing TechniquesArtificial Intelligence 41 works
  3. 3 Cloud Computing and Resource ManagementInformation Systems 29 works
  4. 4 Speech Recognition and SynthesisArtificial Intelligence 23 works
  5. 5 Artificial Intelligence in Healthcare and EducationHealth Informatics 20 works
  6. 6 Software System Performance and ReliabilityComputer Networks and Communications 20 works
  7. 7 Big Data and Business IntelligenceManagement Information Systems 20 works
  8. 8 Speech and Audio ProcessingSignal Processing 18 works
  9. 9 Software Engineering ResearchInformation Systems 18 works
  10. 10 Multimodal Machine Learning ApplicationsComputer Vision and Pattern Recognition 18 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 available26.8%not open73.2%

World: 28% of research is openly available.

with international co-authors33.8%domestic only66.2%

World: 19% is written across borders.

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

Output in 2018–2022 was 32% lower 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 Redmond

All research institutions in Redmond

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.