Visa (United States)
In research, Visa (United States) stands highest in Computer Science (#2,168 of 4,417 worldwide) and Physical Sciences (#9,534 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Artificial Intelligence and Computer Science (Artificial Intelligence is 12.9× its share of world research).
- World rank, 2022-now
- #21,289 of 22,385 · #31,916 all time
- Rank in United States
- #3,147 of 3,332
- Research works
- 168 ▲ 107% vs 2018-21
- Citations
- 3.6k 21.7 per fractional work
- Top-10% rate
- 11.1% all institutions 10.0%
- vs its own fields
- 0.97× 1.00× is exactly expected
- Open access
- 34% world 40%
- International
- 27% world 18%
What is Visa (United States) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #2,168 of 4,417 | 11.8% | 62 | - | |
| Physical SciencesDomain | #9,534 of 10,670 | 12.0% | 69 | #14577 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Visa (United States) work in?
In 2022-now, 76% of research at Visa (United States) is in Physical Sciences, 19% in Social Sciences. Its largest fields are Computer Science (68%), Social Sciences (6%), Business, Management and Accounting (6%). It does 1.9× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 16 fields, with their numbers
- Physical Sciences7376.3%
- Computer Science6568.5%
- Engineering55.5%
- Mathematics10.9%
- Physics and Astronomy10.7%
- Environmental Science10.6%
- Materials Science00.2%
- Social Sciences1818.9%
- Health Sciences33.4%
- Medicine32.8%
- Health Professions00.5%
- Life Sciences11.5%
What does Visa (United States) specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 12.9× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 29.7 works13×
- Computer ScienceField · 65.2 works8.8×
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, 8.8×. Every wedge is a field page.
All 16 fields, with their numbers
- Computer Science8.81×65 works
- Decision Sciences4.55×4 works
- Business, Management and Accounting1.90×6 works
- Mathematics0.74×1 works
- Economics, Econometrics and Finance0.68×1 works
- Social Sciences0.49×6 works
- Engineering0.37×5 works
- Physics and Astronomy0.30×1 works
- Psychology0.23×1 works
- Biochemistry, Genetics and Molecular Biology0.22×1 works
- Health Professions0.20×0 works
- Neuroscience0.16×0 works
- Medicine0.15×3 works
- Environmental Science0.12×1 works
- Immunology and Microbiology0.05×0 works
- Materials Science0.05×0 works
- Computer Science 8.8×
- Decision Sciences 4.5×
- Business, Management and Accounting 1.9×
- Mathematics 0.7×
- Economics, Econometrics and Finance 0.7×
- Social Sciences 0.5×
- Engineering 0.4×
- Physics and Astronomy 0.3×
- Psychology 0.2×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Health Professions 0.2×
- Neuroscience 0.2×
- Medicine 0.1×
- Environmental Science 0.1×
- Immunology and Microbiology 0.1×
- Materials Science 0.1×
Who are the top researchers at Visa (United States)?
Ranked on the quality score, Peter Rindal, Chin‐Chia Michael Yeh and Srinivasan Raghuraman lead among researchers whose main affiliation is Visa (United States).
- 1
Peter Rindal
United States · #165,165 worldwide 2.4k citations · 49 works
- 2
Chin‐Chia Michael Yeh
United States · #703,779 worldwide 2.5k citations · 129 works
- 3
Srinivasan Raghuraman
United States · #720,335 worldwide 646 citations · 48 works
- 4
Hao Yang
United States · #791,893 worldwide 626 citations · 45 works
- 5
Huiyuan Chen
United States · #1,013,635 worldwide 1.6k citations · 122 works
- 6
Junpeng Wang
United States · #1,225,336 worldwide 1.2k citations · 90 works
- 7
Menghai Pan
United States · #1,525,707 worldwide 378 citations · 37 works
- 8
Mahashweta Das
United States · #1,745,087 worldwide 479 citations · 71 works
- 9
Yan Ling Zheng
United States · #2,211,847 worldwide 2.3k citations · 98 works
- 10
Navid Alamati
United States · #2,665,584 worldwide 240 citations · 24 works
Which keywords describe research at Visa (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Security, Data Mining, Big Data, Anomaly Detection and Supply Chain Management.
- Block Ciphers
- Deep Neural Networks
- Side-Channel Attacks
- Performance Prediction
- Log Analysis
- Time Series
- Differential Privacy
- IoT Security
- Graph Neural Networks
- Artificial Intelligence
- Representation Learning
- Smart Contracts
- Graph Convolutional Networks
- Cryptanalysis
- Identity-Based Encryption
- Privacy
- Supply Chain Management
- Big Data
- Security
- Machine Learning
- Deep Learning
- Neural Networks
- Data Mining
- Anomaly Detection
- Healthcare
- Homomorphic Encryption
- Internet of Things
- Security Analysis
- Blockchain
- Semi-Supervised Learning
- Distributed Systems
- Cybersecurity
- Knowledge Graph Embedding
- Surveillance
- Federated Learning
- Intrusion Detection
- Network Security
- Cloud Computing
- Collaborative Filtering
- Matrix Factorization
Size is fractional works in 2022-now 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▲ 6.3×28 topics
- Machine Learning18▲ 5.8×29 topics
- Neural Networks13▲ 8.7×16 topics
- Security10▲ 16×13 topics
- Data Mining8▲ 12×6 topics
- Big Data8▲ 8.7×10 topics
- Anomaly Detection8▲ 28×3 topics
- Supply Chain Management7▲ 8.3×7 topics
- Healthcare6▲ 5.8×7 topics
- Privacy6▲ 23×4 topics
- Homomorphic Encryption6▲ 136×1 topic
- Identity-Based Encryption6▲ 136×1 topic
- Internet of Things6▲ 7.3×7 topics
- Cryptanalysis5▲ 63×3 topics
- Security Analysis5▲ 32×4 topics
- Graph Convolutional Networks5▲ 44×2 topics
- Blockchain5▲ 22×1 topic
- Smart Contracts5▲ 32×1 topic
- Semi-Supervised Learning4▲ 39×3 topics
- Representation Learning4▲ 29×3 topics
- Distributed Systems4▲ 27×4 topics
- Artificial Intelligence4▲ 3.1×9 topics
- Cybersecurity4▲ 17×3 topics
- Graph Neural Networks4▲ 72×1 topic
- Knowledge Graph Embedding4▲ 72×1 topic
- IoT Security4▲ 12×3 topics
- Surveillance4▲ 13×3 topics
- Differential Privacy3▲ 50×1 topic
- Federated Learning3▲ 50×1 topic
- Time Series3▲ 19×3 topics
- Intrusion Detection3▲ 22×1 topic
- Log Analysis3▲ 74×1 topic
- Network Security3▲ 25×1 topic
- Performance Prediction3▲ 46×1 topic
- Cloud Computing3▲ 11×6 topics
- Side-Channel Attacks3▲ 59×2 topics
- Collaborative Filtering3▲ 75×1 topic
- Deep Neural Networks3▲ 22×2 topics
- Matrix Factorization3▲ 75×1 topic
- Block Ciphers2▲ 120×1 topic
Which research topics does Visa (United States) publish most on?
By volume in 2022-now: Cryptography and Data Security, Blockchain Technology Applications and Security, Advanced Graph Neural Networks and Privacy-Preserving Technologies in Data.
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 5 works
- 3 Advanced Graph Neural Networks Artificial Intelligence 4 works
- 4 Privacy-Preserving Technologies in Data Artificial Intelligence 3 works
- 5 Network Security and Intrusion Detection Computer Networks and Communications 3 works
- 6 Software System Performance and Reliability Computer Networks and Communications 3 works
- 7 Recommender Systems and Techniques Information Systems 3 works
- 8 Cryptographic Implementations and Security Artificial Intelligence 2 works
- 9 FinTech, Crowdfunding, Digital Finance Management Information Systems 2 works
- 10 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 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: 40% of research is openly available.
World: 18% is written across borders.
How has Visa (United States)'s research output changed?
Output in 2022-2025 was 107% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Visa (United States) as a percentage of every work published that year, 0.00038% in 2024.
Fractional works of Visa (United States) over all fractional works that year. How the balance of science has shifted.
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Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
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