Science Explorer Interactive view Map

Alphabet (United States)

Research works
117
▲ 80% vs 2013–17
Citations
4.7k
40.2 per fractional work
Top-10% rate
14.6%
record average 16.5%
Open access
43%
world 28%

Not ranked overall: Alphabet (United States) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.

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: 0.23× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.53× its world share, 0 worksBiochemistry, Geneti…Immunology and Microbiology: 0.16× its world share, 0 worksImmunology and Micro…Neuroscience: 2.66× its world share, 1 worksNeuroscienceComputer Science: 2.51× its world share, 3 worksComputer ScienceEnergy: 0.35× its world share, 0 worksEnergyEngineering: 1.09× its world share, 3 worksEngineeringEnvironmental Science: 0.23× its world share, 0 worksEnvironmental ScienceMathematics: 0.55× its world share, 0 worksMathematicsPhysics and Astronomy: 2.40× its world share, 1 worksPhysics and AstronomyHealth Professions: 2.20× its world share, 1 worksHealth ProfessionsMedicine: 0.46× its world share, 2 worksMedicineNursing: 1.32× its world share, 0 worksNursingArts and Humanities: 0.90× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 1.23× its world share, 1 worksBusiness, Management…Decision Sciences: 1.68× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.09× its world share, 0 worksEconomics, Econometr…Psychology: 4.73× its world share, 2 worksPsychologySocial Sciences: 0.81× its world share, 2 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Psychology, 4.7×. Every wedge is a field page.

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

Ranked on the composite score, Jean Balazuc lead among researchers whose main affiliation is Alphabet (United States).

  1. 1 Jean Balazuc United States · #999,700 worldwide 8 citations · 15 works
All ranked researchers at Alphabet (United States)

Which keywords describe research at Alphabet (United States)?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Quantum Information, Quantum Algorithms, Quantum Computation, Machine Learning, Neural Networks, Semi-Supervised Learning and Gaussian Processes.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years 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 Learning14▲ 5.4×38 topics
  2. Machine Learning11▲ 4.5×36 topics
  3. Quantum Information11▲ 71×2 topics
  4. Quantum Algorithms9▲ 238×1 topic
  5. Quantum Computation9▲ 238×1 topic
  6. Neural Networks6▲ 4.6×20 topics
  7. Semi-Supervised Learning4▲ 65×2 topics
  8. Gaussian Processes4▲ 133×2 topics
  9. Entanglement4▲ 18×4 topics
  10. Image Classification3▲ 38×2 topics
  11. Security3▲ 6.4×8 topics
  12. Active Learning3▲ 23×1 topic
  13. Text Categorization3▲ 166×1 topic
  14. Convolutional Neural Networks3▲ 5.6×8 topics
  15. Data Mining3▲ 5.4×8 topics
  16. Privacy3▲ 12×3 topics
  17. Healthcare2▲ 3.0×8 topics
  18. Online Learning2▲ 4.8×7 topics
  19. Convex Optimization2▲ 26×4 topics
  20. Social Justice2▲ 3.9×3 topics
  21. Bell Inequality2▲ 37×1 topic
  22. Classification2▲ 4.8×6 topics
  23. Decoherence2▲ 37×1 topic
  24. Deep Neural Networks2▲ 26×3 topics
  25. Consumer Behavior2▲ 4.4×3 topics
  26. Meta-Learning2▲ 44×2 topics
  27. Causal Discovery2▲ 33×2 topics
  28. Hyperparameter Optimization2▲ 60×2 topics
  29. Information Retrieval2▲ 9.8×3 topics
  30. Algorithmic Information Theory2▲ 49×1 topic
  31. Computability2▲ 49×1 topic
  32. Neural Machine Translation2▲ 16×1 topic
  33. Performance2▲ 15×2 topics
  34. Representation Learning2▲ 22×2 topics
  35. Sparse Representation2▲ 6.9×4 topics
  36. Statistical Machine Translation2▲ 16×1 topic
  37. Text Classification2▲ 14×2 topics
  38. Unsupervised Learning2▲ 13×3 topics
  39. Citizen Participation1▲ 10×2 topics
  40. Cryptography1▲ 11×2 topics

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

By volume in 2022–2025: Emotional Intelligence and Performance, CCD and CMOS Imaging Sensors, French Language Learning Methods and Blockchain Technology Applications and Security.

  1. 1 Emotional Intelligence and Performance Social Psychology 1 works
  2. 2 CCD and CMOS Imaging Sensors Electrical and Electronic Engineering 1 works
  3. 3 French Language Learning Methods Linguistics and Language 1 works
  4. 4 Blockchain Technology Applications and Security Information Systems 1 works
  5. 5 FinTech, Crowdfunding, Digital Finance Management Information Systems 0 works
  6. 6 Oral and Craniofacial Lesions Speech and Hearing 0 works
  7. 7 Sociology and Education Studies Sociology and Political Science 0 works
  8. 8 Privacy-Preserving Technologies in Data Artificial Intelligence 0 works
  9. 9 Imbalanced Data Classification Techniques Artificial Intelligence 0 works
  10. 10 Libraries and Information Services Museology 0 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 available42.8%not open57.2%

World: 28% of research is openly available.

with international co-authors36.8%domestic only63.2%

World: 19% is written across borders.

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

Output in 2018–2022 was 80% 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.