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Google (United States)

In research, Google (United States) stands highest in Computer Science (#3 of 4,667 worldwide), Artificial Intelligence (#11 of 1,884 worldwide) and Physical Sciences (#156 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Signal Processing and Computer Graphics and Computer-Aided Design — Hardware and Architecture is 11.1× its share of world research.

google.comROR OpenAlex
World rank, 2022–2025
#296
of 28,054 · #393 all time
Rank in United States
#65
of 4,192
Research works
26k
▲ 8% vs 2013–17
Citations
1.3M
52.1 per fractional work
Top-10% rate
27.4%
record average 16.5%
Open access
35%
world 28%

What is Google (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 #3 of 4,667 30.6%1,717 #17
Artificial IntelligenceSubfield #11 of 1,884 30.4%698 #5
Physical SciencesDomain #156 of 12,888 29.7%2,316 #315
Computer Vision and Pattern RecognitionSubfield #12 of 941 39.4%368 #11
Information SystemsSubfield #92 of 1,291 28.1%184 #10
Social SciencesDomain #778 of 10,521 25.3%840 #511
EngineeringField #571 of 6,636 24.3%385 #510
Health SciencesDomain #1,280 of 11,982 22.0%364 #1125
MedicineField #1,166 of 10,443 21.0%249 #1122
Social SciencesField #741 of 6,365 24.0%296 #464

Each strip is that field’s whole ranked pool, with the notch where Google (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#17 #3
  2. Artificial Intelligence#5 #11
  3. Physical Sciences#315 #156
  4. Computer Vision and Pattern Recognition#11 #12
  5. Information Systems#10 #92
  6. Social Sciences#511 #778
  7. Engineering#510 #571
  8. Health Sciences#1,125 #1,280
  9. Medicine#1,122 #1,166
  10. Social Sciences#464 #741
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 Google (United States) specialise in?

Where its research is concentrated relative to its size: Hardware and Architecture takes 11.1× the share of its output that it takes of world research.

  1. Hardware and ArchitectureSubfield · 47.2 works11×
  2. Signal ProcessingSubfield · 113.9 works9.9×
  3. Computer Graphics and Computer-Aided DesignSubfield · 28.8 works9.2×
  4. Computer Vision and Pattern RecognitionSubfield · 368.4 works7.7×
  5. Artificial IntelligenceSubfield · 697.6 works7.6×
  6. Sensory SystemsSubfield · 20.4 works7.0×
  7. Developmental and Educational PsychologySubfield · 118.9 works6.9×
← 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: 0.15× its world share, 28 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.33× its world share, 66 worksBiochemistry, Geneti…Immunology and Microbiology: 0.10× its world share, 4 worksImmunology and Micro…Neuroscience: 2.67× its world share, 164 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.11× its world share, 2 worksPharmacology, Toxico…Chemical Engineering: 0.03× its world share, 0 worksChemical EngineeringChemistry: 0.08× its world share, 5 worksChemistryComputer Science: 5.84× its world share, 1,717 worksComputer ScienceEarth and Planetary Sciences: 0.38× its world share, 23 worksEarth and Planetary …Energy: 0.07× its world share, 3 worksEnergyEngineering: 0.68× its world share, 385 worksEngineeringEnvironmental Science: 0.35× its world share, 66 worksEnvironmental ScienceMaterials Science: 0.14× its world share, 18 worksMaterials ScienceMathematics: 0.85× its world share, 38 worksMathematicsPhysics and Astronomy: 0.73× its world share, 62 worksPhysics and AstronomyDentistry: 0.36× its world share, 7 worksDentistryHealth Professions: 1.06× its world share, 106 worksHealth ProfessionsMedicine: 0.34× its world share, 249 worksMedicineNursing: 0.11× its world share, 2 worksNursingVeterinary: 0.16× its world share, 1 worksVeterinaryArts and Humanities: 0.35× its world share, 39 worksArts and HumanitiesBusiness, Management and Accounting: 0.73× its world share, 89 worksBusiness, Management…Decision Sciences: 2.72× its world share, 99 worksDecision SciencesEconomics, Econometrics and Finance: 0.48× its world share, 39 worksEconomics, Econometr…Psychology: 2.41× its world share, 277 worksPsychologySocial Sciences: 0.62× its world share, 296 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.8×. Every wedge is a field page.

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

Ranked on the composite score, Quoc V. Le, Tara N. Sainath and Nicolas Heess lead among researchers whose main affiliation is Google (United States).

  1. 1 Quoc V. Le United States · #981 worldwide 8.6k citations · 89 works
  2. 2 Tara N. Sainath United States · #1,150 worldwide 3.5k citations · 93 works
  3. 3 Nicolas Heess United States · #1,908 worldwide 3k citations · 78 works
  4. 4 Yonghui Wu United States · #2,016 worldwide 2.8k citations · 78 works
  5. 5 Alon Halevy United States · #2,060 worldwide 2k citations · 80 works
  6. 6 Martin Wattenberg United States · #3,496 worldwide 2.5k citations · 65 works
  7. 7 Oriol Vinyals United States · #4,470 worldwide 7.4k citations · 59 works
  8. 8 Razvan Pascanu United States · #5,805 worldwide 2.3k citations · 58 works
  9. 9 Sebastian Ruder United States · #6,285 worldwide 2k citations · 57 works
  10. 10 Ed H. United States · #6,661 worldwide 1.5k citations · 103 works
All ranked researchers at Google (United States)

Which keywords describe research at Google (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Language Development, Information Retrieval, Bilingualism and Text Classification.

▲ 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 Learning603▲ 4.7×77 topics
  2. Neural Networks394▲ 6.8×36 topics
  3. Machine Learning337▲ 2.7×82 topics
  4. Convolutional Neural Networks157▲ 5.7×14 topics
  5. Quality of Life141▲ 2.6×43 topics
  6. Big Data126▲ 3.7×27 topics
  7. Language Development124▲ 27×6 topics
  8. Information Retrieval122▲ 15×6 topics
  9. Bilingualism117▲ 23×7 topics
  10. Text Classification112▲ 19×3 topics
  11. Topic Modeling108▲ 19×3 topics
  12. Machine Translation106▲ 17×2 topics
  13. Semantic Similarity105▲ 23×1 topic
  14. Word Representation105▲ 23×1 topic
  15. Unsupervised Learning99▲ 18×3 topics
  16. Security87▲ 3.5×19 topics
  17. Deep Neural Networks87▲ 21×3 topics
  18. Corpus Linguistics85▲ 10×5 topics
  19. Data Mining84▲ 3.0×16 topics
  20. Neural Plasticity83▲ 12×4 topics
  21. Neural Machine Translation81▲ 22×1 topic
  22. Statistical Machine Translation81▲ 22×1 topic
  23. Social Interaction80▲ 5.3×11 topics
  24. Convolutional Networks77▲ 15×3 topics
  25. Representation Learning70▲ 13×3 topics
  26. Speech Perception67▲ 21×3 topics
  27. Hearing Loss65▲ 15×3 topics
  28. Distributed Systems64▲ 10×6 topics
  29. Hidden Markov Models61▲ 28×3 topics
  30. Speech and Language Disorder59▲ 82×1 topic
  31. Statistical Learning59▲ 82×1 topic
  32. Acoustic Modeling58▲ 41×1 topic
  33. Speaker Verification58▲ 41×1 topic
  34. Semantic Reasoning58▲ 19×2 topics
  35. Visual Question Answering58▲ 19×2 topics
  36. Image Captioning57▲ 31×1 topic
  37. Multimodal Fusion57▲ 31×1 topic
  38. Semi-Supervised Learning57▲ 14×3 topics
  39. Speech Production56▲ 46×2 topics
  40. Meta-Learning50▲ 16×2 topics

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

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Language Development and Disorders and Speech Recognition and Synthesis.

Topic Modeling105Topic Modeling: 105 fractional worksNatural Language Processing Techniques: 81 fractional worksLanguage Development and…59Language Development and Disorders: 59 fractional worksSpeech Recognition and S…58Speech Recognition and Synthesis: 58 fractional worksMultimodal Machine Learning Applications: 57 fractional worksHearing Loss and Rehabilitation: 40 fractional worksPrivacy-Preserving Techn…37Privacy-Preserving Technologies in Data: 37 fractional worksAdvanced Vision and Imaging: 37 fractional worksDomain Adaptation and Few-Shot Learning: 36 fractional worksNeurobiology of Language and Bilingualism: 35 fractional works
Artificial IntelligenceDevelopmental and Educational PsychologyComputer Vision and Pattern RecognitionCognitive Neuroscience

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

  1. 1 Topic Modeling Artificial Intelligence 105 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 81 works
  3. 3 Language Development and Disorders Developmental and Educational Psychology 59 works
  4. 4 Speech Recognition and Synthesis Artificial Intelligence 58 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 57 works
  6. 6 Hearing Loss and Rehabilitation Cognitive Neuroscience 40 works
  7. 7 Privacy-Preserving Technologies in Data Artificial Intelligence 37 works
  8. 8 Advanced Vision and Imaging Computer Vision and Pattern Recognition 37 works
  9. 9 Domain Adaptation and Few-Shot Learning Artificial Intelligence 36 works
  10. 10 Neurobiology of Language and Bilingualism Cognitive Neuroscience 35 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 available34.8%not open65.2%

World: 28% of research is openly available.

with international co-authors24.5%domestic only75.5%

World: 19% is written across borders.

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

Output in 2018–2022 was 8% 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 Mountain View

All research institutions in Mountain View

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.