- 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.
Rings at 0.5×, 1× and 2×. Widest outward: Psychology, 4.7×. Every wedge is a field page.
- Psychology 4.7×
- Neuroscience 2.7×
- Computer Science 2.5×
- Physics and Astronomy 2.4×
- Health Professions 2.2×
- Decision Sciences 1.7×
- Nursing 1.3×
- Business, Management and Accounting 1.2×
- Engineering 1.1×
- Arts and Humanities 0.9×
- Social Sciences 0.8×
- Mathematics 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Medicine 0.5×
- Energy 0.3×
- Agricultural and Biological Sciences 0.2×
- Environmental Science 0.2×
- Immunology and Microbiology 0.2×
- Economics, Econometrics and Finance 0.1×
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 Jean Balazuc United States · #999,700 worldwide 8 citations · 15 works
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.
- Cryptography
- Unsupervised Learning
- Statistical Machine Translation
- Representation Learning
- Neural Machine Translation
- Algorithmic Information Theory
- Hyperparameter Optimization
- Meta-Learning
- Deep Neural Networks
- Classification
- Social Justice
- Online Learning
- Privacy
- Convolutional Neural Networks
- Active Learning
- Image Classification
- Gaussian Processes
- Neural Networks
- Quantum Algorithms
- Machine Learning
- Deep Learning
- Quantum Information
- Quantum Computation
- Semi-Supervised Learning
- Entanglement
- Security
- Text Categorization
- Data Mining
- Healthcare
- Convex Optimization
- Bell Inequality
- Decoherence
- Consumer Behavior
- Causal Discovery
- Information Retrieval
- Computability
- Performance
- Sparse Representation
- Text Classification
- Citizen Participation
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
- Deep Learning14▲ 5.4×38 topics
- Machine Learning11▲ 4.5×36 topics
- Quantum Information11▲ 71×2 topics
- Quantum Algorithms9▲ 238×1 topic
- Quantum Computation9▲ 238×1 topic
- Neural Networks6▲ 4.6×20 topics
- Semi-Supervised Learning4▲ 65×2 topics
- Gaussian Processes4▲ 133×2 topics
- Entanglement4▲ 18×4 topics
- Image Classification3▲ 38×2 topics
- Security3▲ 6.4×8 topics
- Active Learning3▲ 23×1 topic
- Text Categorization3▲ 166×1 topic
- Convolutional Neural Networks3▲ 5.6×8 topics
- Data Mining3▲ 5.4×8 topics
- Privacy3▲ 12×3 topics
- Healthcare2▲ 3.0×8 topics
- Online Learning2▲ 4.8×7 topics
- Convex Optimization2▲ 26×4 topics
- Social Justice2▲ 3.9×3 topics
- Bell Inequality2▲ 37×1 topic
- Classification2▲ 4.8×6 topics
- Decoherence2▲ 37×1 topic
- Deep Neural Networks2▲ 26×3 topics
- Consumer Behavior2▲ 4.4×3 topics
- Meta-Learning2▲ 44×2 topics
- Causal Discovery2▲ 33×2 topics
- Hyperparameter Optimization2▲ 60×2 topics
- Information Retrieval2▲ 9.8×3 topics
- Algorithmic Information Theory2▲ 49×1 topic
- Computability2▲ 49×1 topic
- Neural Machine Translation2▲ 16×1 topic
- Performance2▲ 15×2 topics
- Representation Learning2▲ 22×2 topics
- Sparse Representation2▲ 6.9×4 topics
- Statistical Machine Translation2▲ 16×1 topic
- Text Classification2▲ 14×2 topics
- Unsupervised Learning2▲ 13×3 topics
- Citizen Participation1▲ 10×2 topics
- 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.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Emotional Intelligence and Performance Social Psychology 1 works
- 2 CCD and CMOS Imaging Sensors Electrical and Electronic Engineering 1 works
- 3 French Language Learning Methods Linguistics and Language 1 works
- 4 Blockchain Technology Applications and Security Information Systems 1 works
- 5 FinTech, Crowdfunding, Digital Finance Management Information Systems 0 works
- 6 Oral and Craniofacial Lesions Speech and Hearing 0 works
- 7 Sociology and Education Studies Sociology and Political Science 0 works
- 8 Privacy-Preserving Technologies in Data Artificial Intelligence 0 works
- 9 Imbalanced Data Classification Techniques Artificial Intelligence 0 works
- 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.
World: 28% of research is openly available.
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.
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
- Ames Research Center
- Google (United States)
- Creative Commons
- Synopsys (United States)
- Search for Extraterrestrial Intelligence
- Khan Academy
- Intuit (United States)
- Research Institute for Advanced Computer Science
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.