- World rank, 2022–2025
- #27,146 of 28,054 · #41,431 all time
- Rank in United States
- #4,084 of 4,192
- Research works
- 130 ▲ 14% vs 2013–17
- Citations
- 394 3.0 per fractional work
- Top-10% rate
- 13.4% record average 16.5%
- Open access
- 54% world 28%
What does Mastercard (United States) specialise in?
Where its research is concentrated relative to its size: Business, Management and Accounting takes 9.5× the share of its output that it takes of world research.
- Business, Management and AccountingField · 21.6 works9.5×
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: Business, Management and Accounting, 9.5×. Every wedge is a field page.
- Business, Management and Accounting 9.5×
- Computer Science 4.9×
- Economics, Econometrics and Finance 3.1×
- Dentistry 1.9×
- Decision Sciences 1.1×
- Social Sciences 0.6×
- Neuroscience 0.5×
- Physics and Astronomy 0.4×
- Engineering 0.4×
- Psychology 0.3×
- Health Professions 0.3×
- Medicine 0.2×
- Mathematics 0.1×
- Chemistry 0.1×
- Environmental Science 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at Mastercard (United States)?
Ranked on the composite score, Murali Malempati lead among researchers whose main affiliation is Mastercard (United States).
- 1 Murali Malempati United States · #725,839 worldwide 9 citations · 17 works
Which keywords describe research at Mastercard (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Supply Chain Management, Investment Decisions, Big Data, Entrepreneurship, Social Capital, Crowdfunding and Fintech.
- Surveillance
- IoT Security
- Financial Performance
- Anomaly Detection
- SMOTE
- Imbalanced Data
- Smart Contracts
- Regulation
- Privacy
- Internet of Things
- Bankruptcy Prediction
- Predictive Modeling
- Financial Crisis
- Firm Performance
- Analytics
- Deep Learning
- Fintech
- Social Capital
- Investment Decisions
- Supply Chain Management
- Machine Learning
- Big Data
- Entrepreneurship
- Crowdfunding
- Neural Networks
- Sustainability
- Business Intelligence
- Healthcare
- Ensemble Learning
- Artificial Intelligence
- Credit Scoring
- Security
- Classification
- Blockchain
- Digital Transformation
- Risk Management
- Economic Growth
- Catastrophe Bonds
- Insurance
- Cybersecurity
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
- Machine Learning13▲ 5.8×21 topics
- Supply Chain Management10▲ 15×5 topics
- Big Data9▲ 14×7 topics
- Investment Decisions9▲ 105×2 topics
- Entrepreneurship9▲ 33×3 topics
- Social Capital9▲ 24×3 topics
- Crowdfunding9▲ 170×1 topic
- Fintech9▲ 160×1 topic
- Neural Networks8▲ 7.3×10 topics
- Deep Learning7▲ 2.9×20 topics
- Sustainability7▲ 4.0×6 topics
- Analytics6▲ 85×1 topic
- Business Intelligence6▲ 85×1 topic
- Firm Performance6▲ 43×2 topics
- Healthcare5▲ 6.5×6 topics
- Financial Crisis4▲ 57×2 topics
- Ensemble Learning4▲ 93×2 topics
- Predictive Modeling4▲ 22×2 topics
- Artificial Intelligence4▲ 4.3×8 topics
- Bankruptcy Prediction4▲ 282×1 topic
- Credit Scoring4▲ 282×1 topic
- Internet of Things4▲ 6.9×5 topics
- Security4▲ 9.0×5 topics
- Privacy3▲ 16×2 topics
- Classification3▲ 9.9×3 topics
- Regulation3▲ 8.4×4 topics
- Blockchain3▲ 18×1 topic
- Smart Contracts3▲ 26×1 topic
- Digital Transformation3▲ 7.8×9 topics
- Imbalanced Data3▲ 106×1 topic
- Risk Management3▲ 7.9×2 topics
- SMOTE3▲ 106×1 topic
- Economic Growth2▲ 4.2×3 topics
- Anomaly Detection2▲ 11×4 topics
- Catastrophe Bonds2▲ 73×1 topic
- Financial Performance2▲ 5.5×2 topics
- Insurance2▲ 40×1 topic
- IoT Security2▲ 8.6×3 topics
- Cybersecurity2▲ 9.9×4 topics
- Surveillance2▲ 8.5×2 topics
Which research topics does Mastercard (United States) publish most on?
By volume in 2022–2025: FinTech, Crowdfunding, Digital Finance, Big Data and Business Intelligence, Financial Distress and Bankruptcy Prediction and Blockchain Technology Applications and Security.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 FinTech, Crowdfunding, Digital Finance Management Information Systems 9 works
- 2 Big Data and Business Intelligence Management Information Systems 6 works
- 3 Financial Distress and Bankruptcy Prediction Accounting 4 works
- 4 Blockchain Technology Applications and Security Information Systems 3 works
- 5 Imbalanced Data Classification Techniques Artificial Intelligence 3 works
- 6 Insurance and Financial Risk Management Economics and Econometrics 2 works
- 7 Artificial Intelligence in Healthcare and Education Health Informatics 1 works
- 8 Network Security and Intrusion Detection Computer Networks and Communications 1 works
- 9 Reservoir Engineering and Simulation Methods Ocean Engineering 1 works
- 10 Topic Modeling Artificial Intelligence 1 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 Mastercard (United States)'s research output changed?
Output in 2018–2022 was 14% 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 Purchase
- Purchase College
- Nutrition 21 (United States)
- Manhattanville College
- Pepsi (United States)
- Atos (United States)
- Cancer Support Team
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.