Apple (United States)
In research, Apple (United States) stands highest in Computer Science (#309 of 4,667 worldwide), Physical Sciences (#3,155 of 12,888 worldwide) and Engineering (#4,212 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 5.7× its share of world research.
- World rank, 2022–2025
- #4,665 of 28,054 · #5,166 all time
- Rank in United States
- #648 of 4,192
- Research works
- 1.2k ▲ 108% vs 2013–17
- Citations
- 34k 28.0 per fractional work
- Top-10% rate
- 24.8% record average 16.5%
- Open access
- 30% world 28%
What is Apple (United States) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #309 of 4,667 | 31.4% | 84 | #483 | |
| Physical SciencesDomain | #3,155 of 12,888 | 25.6% | 164 | #3488 | |
| EngineeringField | #4,212 of 6,636 | 20.5% | 62 | #3444 |
Each strip is that field’s whole ranked pool, with the notch where Apple (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.
- Computer Science#483 #309
- Physical Sciences#3,488 #3,155
- Engineering#3,444 #4,212
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does Apple (United States) specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 5.7× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 34.0 works5.7×
- Computer ScienceField · 83.8 works4.4×
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, 4.4×. Every wedge is a field page.
- Computer Science 4.4×
- Decision Sciences 1.9×
- Engineering 1.7×
- Neuroscience 1.2×
- Psychology 1.2×
- Physics and Astronomy 1.2×
- Mathematics 1.1×
- Health Professions 0.8×
- Dentistry 0.8×
- Veterinary 0.6×
- Medicine 0.5×
- Chemical Engineering 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Business, Management and Accounting 0.4×
- Social Sciences 0.4×
- Economics, Econometrics and Finance 0.4×
- Chemistry 0.4×
- Agricultural and Biological Sciences 0.4×
- Materials Science 0.4×
- Arts and Humanities 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Environmental Science 0.3×
- Immunology and Microbiology 0.1×
- Nursing 0.1×
- Earth and Planetary Sciences 0.0×
Who are the top researchers at Apple (United States)?
Ranked on the composite score, David C. Dwyer, Jerome R. Bellegarda and Charles Lins lead among researchers whose main affiliation is Apple (United States).
- 1 David C. Dwyer United States · #717,011 worldwide 47 citations · 15 works
- 2 Jerome R. Bellegarda United States · #808,447 worldwide 66 citations · 32 works
- 3 Charles Lins United States · #1,434,832 worldwide 0 citations · 21 works
Which keywords describe research at Apple (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Information Retrieval, Deep Neural Networks, Text Classification, Machine Translation and Word Representation.
- SCR Devices
- Delta-Sigma Modulator
- Frequency Synthesizer
- Hidden Markov Models
- Semi-Supervised Learning
- Heterogeneous Networks
- Circadian Rhythms
- Channel Modeling
- Meta-Learning
- Surveillance
- Neural Machine Translation
- Integrated Circuits
- Unsupervised Learning
- Machine Translation
- Anomaly Detection
- Deep Neural Networks
- Big Data
- Information Retrieval
- Epidemiology
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Energy Efficiency
- Security
- Text Classification
- Classification
- Word Representation
- Corpus Linguistics
- CMOS Technology
- Statistical Machine Translation
- Distributed Systems
- Representation Learning
- CMOS
- Convolutional Networks
- Wearable Sensors
- Health Monitoring
- Wireless Networks
- Hyperparameter Optimization
- ESD Protection
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
- Deep Learning34▲ 4.0×56 topics
- Neural Networks21▲ 5.6×24 topics
- Machine Learning15▲ 1.85×43 topics
- Epidemiology9◆ 0.89×30 topics
- Convolutional Neural Networks6▲ 3.4×10 topics
- Information Retrieval6▲ 11×4 topics
- Energy Efficiency5▲ 2.2×12 topics
- Big Data5▲ 2.2×11 topics
- Security5▲ 3.1×11 topics
- Deep Neural Networks5▲ 18×3 topics
- Text Classification5▲ 12×2 topics
- Anomaly Detection4▲ 6.2×3 topics
- Classification4▲ 4.0×9 topics
- Machine Translation4▲ 11×1 topic
- Word Representation4▲ 15×1 topic
- Unsupervised Learning4▲ 12×3 topics
- Corpus Linguistics4▲ 7.3×2 topics
- Integrated Circuits4▲ 9.8×3 topics
- CMOS Technology4▲ 18×4 topics
- Neural Machine Translation4▲ 16×1 topic
- Statistical Machine Translation4▲ 16×1 topic
- Surveillance4▲ 5.3×2 topics
- Distributed Systems4▲ 8.6×6 topics
- Meta-Learning4▲ 17×2 topics
- Representation Learning3▲ 10×3 topics
- Channel Modeling3▲ 11×4 topics
- CMOS3▲ 26×2 topics
- Circadian Rhythms3▲ 12×2 topics
- Convolutional Networks3▲ 9.2×3 topics
- Heterogeneous Networks3▲ 13×2 topics
- Wearable Sensors3▲ 11×3 topics
- Semi-Supervised Learning3▲ 11×3 topics
- Health Monitoring3▲ 5.6×3 topics
- Hidden Markov Models3▲ 19×2 topics
- Wireless Networks3▲ 7.1×6 topics
- Frequency Synthesizer3▲ 26×2 topics
- Hyperparameter Optimization2▲ 25×2 topics
- Delta-Sigma Modulator2▲ 30×2 topics
- ESD Protection2▲ 78×1 topic
- SCR Devices2▲ 78×1 topic
Which research topics does Apple (United States) publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Electrostatic Discharge in Electronics and Multimodal Machine Learning Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 4 works
- 2 Natural Language Processing Techniques Artificial Intelligence 4 works
- 3 Electrostatic Discharge in Electronics Electrical and Electronic Engineering 2 works
- 4 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 6 Sleep and related disorders Experimental and Cognitive Psychology 2 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works
- 8 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 9 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 2 works
- 10 Industrial Vision Systems and Defect Detection Industrial and Manufacturing Engineering 2 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 Apple (United States)'s research output changed?
Output in 2018–2022 was 108% 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 Cupertino
- Seagate (United States)
- Affymax (United States)
- De Anza College
- Cellular Biomedicine Group (United States)
- Integrated Optical Circuit Consultants (United States)
- Durect (United States)
- CRC Health Group
- Silicon Mitus (United States)
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.