Visa (United States)
In research, Visa (United States) stands highest in Computer Science (#3,425 of 4,667 worldwide) and Physical Sciences (#11,667 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence and Computer Science — Artificial Intelligence is 13.8× its share of world research.
- World rank, 2022–2025
- #23,312 of 28,054 · #34,954 all time
- Rank in United States
- #3,492 of 4,192
- Research works
- 168 ▲ 381% vs 2013–17
- Citations
- 3.6k 21.7 per fractional work
- Top-10% rate
- 23.5% record average 16.5%
- Open access
- 34% world 28%
What is Visa (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 | #3,425 of 4,667 | 25.0% | 62 | — | |
| Physical SciencesDomain | #11,667 of 12,888 | 24.6% | 69 | #18989 |
Each strip is that field’s whole ranked pool, with the notch where Visa (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).
What does Visa (United States) specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 13.8× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 28.3 works14×
- Computer ScienceField · 61.8 works9.3×
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, 9.3×. Every wedge is a field page.
- Computer Science 9.3×
- Decision Sciences 4.5×
- Business, Management and Accounting 1.2×
- Mathematics 0.8×
- Engineering 0.4×
- Social Sciences 0.4×
- Physics and Astronomy 0.3×
- Economics, Econometrics and Finance 0.3×
- Psychology 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Neuroscience 0.2×
- Health Professions 0.2×
- Environmental Science 0.1×
- Medicine 0.1×
- Immunology and Microbiology 0.1×
- Materials Science 0.1×
Who are the top researchers at Visa (United States)?
Ranked on the composite score, Hao Yang, Rohit Sinha and Huiyuan Chen lead among researchers whose main affiliation is Visa (United States).
- 1 Hao Yang United States · #881,418 worldwide 47 citations · 18 works
- 2 Rohit Sinha United States · #931,605 worldwide 7 citations · 15 works
- 3 Huiyuan Chen United States · #998,735 worldwide 51 citations · 27 works
- 4 Mahashweta Das United States · #1,432,379 worldwide 27 citations · 21 works
- 5 Srinivasan Raghuraman United States · #1,438,977 worldwide 39 citations · 15 works
- 6 Zhongfang Zhuang United States · #1,580,051 worldwide 14 citations · 18 works
Which keywords describe research at Visa (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Security, Data Mining, Anomaly Detection, Supply Chain Management and Homomorphic Encryption.
- Support Vector Machines
- Hash Functions
- Matrix Factorization
- Differential Privacy
- Surveillance
- Network Security
- Performance Prediction
- Cybersecurity
- IoT Security
- Graph Neural Networks
- Blockchain
- Representation Learning
- Healthcare
- Security Analysis
- Cryptanalysis
- Privacy
- Homomorphic Encryption
- Anomaly Detection
- Security
- Machine Learning
- Deep Learning
- Neural Networks
- Data Mining
- Supply Chain Management
- Identity-Based Encryption
- Big Data
- Internet of Things
- Graph Convolutional Networks
- Semi-Supervised Learning
- Distributed Systems
- Smart Contracts
- Knowledge Graph Embedding
- Time Series
- Log Analysis
- Intrusion Detection
- Side-Channel Attacks
- Collaborative Filtering
- Federated Learning
- Block Ciphers
- Deep Neural Networks
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 Learning21▲ 7.1×28 topics
- Machine Learning15▲ 5.3×27 topics
- Neural Networks13▲ 9.6×16 topics
- Security8▲ 15×12 topics
- Data Mining8▲ 12×6 topics
- Anomaly Detection8▲ 30×3 topics
- Supply Chain Management6▲ 7.9×7 topics
- Homomorphic Encryption6▲ 151×1 topic
- Identity-Based Encryption6▲ 151×1 topic
- Privacy6▲ 22×4 topics
- Big Data5▲ 6.8×9 topics
- Cryptanalysis5▲ 72×3 topics
- Internet of Things5▲ 6.9×6 topics
- Security Analysis5▲ 35×4 topics
- Graph Convolutional Networks5▲ 51×2 topics
- Healthcare5▲ 4.8×6 topics
- Semi-Supervised Learning4▲ 48×3 topics
- Representation Learning4▲ 38×3 topics
- Distributed Systems4▲ 31×4 topics
- Blockchain4▲ 19×1 topic
- Smart Contracts4▲ 28×1 topic
- Graph Neural Networks4▲ 92×1 topic
- Knowledge Graph Embedding4▲ 92×1 topic
- IoT Security4▲ 13×3 topics
- Time Series3▲ 20×3 topics
- Cybersecurity3▲ 15×2 topics
- Log Analysis3▲ 93×1 topic
- Performance Prediction3▲ 55×1 topic
- Intrusion Detection3▲ 24×1 topic
- Network Security3▲ 26×1 topic
- Side-Channel Attacks3▲ 70×2 topics
- Surveillance3▲ 12×3 topics
- Collaborative Filtering3▲ 85×1 topic
- Differential Privacy3▲ 44×1 topic
- Federated Learning3▲ 44×1 topic
- Matrix Factorization3▲ 85×1 topic
- Block Ciphers2▲ 139×1 topic
- Hash Functions2▲ 139×1 topic
- Deep Neural Networks2▲ 26×2 topics
- Support Vector Machines2▲ 8.4×4 topics
Which research topics does Visa (United States) publish most on?
By volume in 2022–2025: Cryptography and Data Security, Blockchain Technology Applications and Security, Advanced Graph Neural Networks and Software System Performance and Reliability.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cryptography and Data Security Artificial Intelligence 6 works
- 2 Blockchain Technology Applications and Security Information Systems 4 works
- 3 Advanced Graph Neural Networks Artificial Intelligence 4 works
- 4 Software System Performance and Reliability Computer Networks and Communications 3 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 3 works
- 6 Privacy-Preserving Technologies in Data Artificial Intelligence 3 works
- 7 Recommender Systems and Techniques Information Systems 3 works
- 8 Cryptographic Implementations and Security Artificial Intelligence 2 works
- 9 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 2 works
- 10 Explainable Artificial Intelligence (XAI) Artificial Intelligence 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 Visa (United States)'s research output changed?
Output in 2018–2022 was 381% 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 Foster City
- Gilead Sciences (United States)
- SciClone Pharmaceuticals (United States)
- Interdisciplinary Dental Education Academy
- Notable Labs (United States)
- TeraRecon (United States)
- Guidewire (United States)
- Apollomics (United States)
- Active Spectrum (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.