- World rank, 2022-now
- #21,224 of 22,385 · #33,228 all time
- Rank in United States
- #3,140 of 3,332
- Research works
- 130 ▲ 619% vs 2018-21
- Citations
- 394 3.0 per fractional work
- Top-10% rate
- 5.8% all institutions 10.0%
- vs its own fields
- 0.99× 1.00× is exactly expected
- Open access
- 54% world 40%
- International
- 19% world 18%
Which fields of science does Mastercard (United States) work in?
In 2022-now, 51% of research at Mastercard (United States) is in Physical Sciences, 43% in Social Sciences. Its largest fields are Computer Science (44%), Business, Management and Accounting (25%), Social Sciences (8%). It does 1.7× the world's share of Social 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 18 fields, with their numbers
- Physical Sciences4551.2%
- Computer Science3944.3%
- Engineering55.5%
- Physics and Astronomy10.8%
- Environmental Science00.4%
- Chemistry00.1%
- Mathematics00.1%
- Energy00.1%
- Social Sciences3843.2%
- Health Sciences44.1%
- Medicine22.8%
- Dentistry10.8%
- Health Professions00.6%
- Life Sciences11.5%
What does Mastercard (United States) specialise in?
Where its research is concentrated relative to its size: Business, Management and Accounting takes 7.7× the share of its output that it takes of world research.
- Business, Management and AccountingField · 21.7 works7.7×
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, 7.7×. Every wedge is a field page.
All 18 fields, with their numbers
- Business, Management and Accounting7.73×22 works
- Computer Science5.69×39 works
- Economics, Econometrics and Finance2.58×5 works
- Dentistry1.58×1 works
- Psychology1.22×3 works
- Decision Sciences1.05×1 works
- Social Sciences0.63×7 works
- Neuroscience0.37×0 works
- Engineering0.36×5 works
- Physics and Astronomy0.34×1 works
- Health Professions0.21×0 works
- Medicine0.14×2 works
- Biochemistry, Genetics and Molecular Biology0.12×1 works
- Mathematics0.11×0 works
- Chemistry0.08×0 works
- Environmental Science0.08×0 works
- Energy0.07×0 works
- Agricultural and Biological Sciences0.05×0 works
- Business, Management and Accounting 7.7×
- Computer Science 5.7×
- Economics, Econometrics and Finance 2.6×
- Dentistry 1.6×
- Psychology 1.2×
- Decision Sciences 1.1×
- Social Sciences 0.6×
- Neuroscience 0.4×
- Engineering 0.4×
- Physics and Astronomy 0.3×
- Health Professions 0.2×
- Medicine 0.1×
- Biochemistry, Genetics and Molecular Biology 0.1×
- Mathematics 0.1×
- Chemistry 0.1×
- Environmental Science 0.1×
- Energy 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at Mastercard (United States)?
Ranked on the quality score, Harish Kumar Sriram, Murali Malempati and Kishore Challa lead among researchers whose main affiliation is Mastercard (United States).
- 1
Harish Kumar Sriram
United States · #747,447 worldwide 426 citations · 54 works
- 2
Murali Malempati
United States · #1,014,832 worldwide 328 citations · 47 works
- 3
Kishore Challa
United States · #1,226,478 worldwide 247 citations · 32 works
- 4
Srinivas Rao Challa
United States · #1,755,175 worldwide 92 citations · 12 works
- 5
Srinivasarao Dharmireddi
United States · #2,995,373 worldwide 38 citations · 15 works
- 6
Mahadevan Balakrishnan
United States · #4,854,204 worldwide 26 citations · 26 works
Which keywords describe research at Mastercard (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Supply Chain Management, Big Data, Investment Decisions, Entrepreneurship, Social Capital, Crowdfunding and Fintech.
- Identity-Based Encryption
- Insurance
- Catastrophe Bonds
- Distributed Systems
- Digital Transformation
- Imbalanced Data
- Classification
- Blockchain
- Bankruptcy Prediction
- Support Vector Machines
- Artificial Intelligence
- Internet of Things
- Firm Performance
- Analytics
- Sustainability
- Neural Networks
- Crowdfunding
- Deep Learning
- Investment Decisions
- Supply Chain Management
- Machine Learning
- Big Data
- Entrepreneurship
- Social Capital
- Fintech
- Security
- Healthcare
- Business Intelligence
- Privacy
- Financial Crisis
- Predictive Modeling
- Ensemble Learning
- Credit Scoring
- Smart Contracts
- Regulation
- SMOTE
- Risk Management
- Anomaly Detection
- Cybersecurity
- Homomorphic Encryption
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
- Machine Learning17▲ 5.7×27 topics
- Supply Chain Management11▲ 14×5 topics
- Big Data10▲ 11×7 topics
- Investment Decisions9▲ 85×2 topics
- Entrepreneurship9▲ 26×3 topics
- Deep Learning9▲ 2.9×24 topics
- Social Capital9▲ 20×3 topics
- Crowdfunding9▲ 138×1 topic
- Fintech9▲ 128×1 topic
- Neural Networks9▲ 6.4×12 topics
- Security7▲ 12×11 topics
- Sustainability7▲ 3.2×6 topics
- Healthcare6▲ 6.6×6 topics
- Analytics6▲ 72×1 topic
- Business Intelligence6▲ 72×1 topic
- Firm Performance6▲ 36×2 topics
- Privacy6▲ 22×5 topics
- Internet of Things6▲ 7.4×6 topics
- Financial Crisis5▲ 48×2 topics
- Artificial Intelligence5▲ 3.7×9 topics
- Predictive Modeling5▲ 19×2 topics
- Support Vector Machines5▲ 17×3 topics
- Ensemble Learning4▲ 74×2 topics
- Bankruptcy Prediction4▲ 202×1 topic
- Credit Scoring4▲ 202×1 topic
- Blockchain4▲ 21×1 topic
- Smart Contracts4▲ 31×1 topic
- Classification4▲ 9.8×3 topics
- Regulation3▲ 6.9×4 topics
- Imbalanced Data3▲ 94×1 topic
- SMOTE3▲ 94×1 topic
- Digital Transformation3▲ 6.2×9 topics
- Risk Management3▲ 6.5×2 topics
- Distributed Systems3▲ 17×4 topics
- Anomaly Detection2▲ 10×4 topics
- Catastrophe Bonds2▲ 65×1 topic
- Cybersecurity2▲ 10×4 topics
- Insurance2▲ 34×1 topic
- Homomorphic Encryption2▲ 54×1 topic
- Identity-Based Encryption2▲ 54×1 topic
Which research topics does Mastercard (United States) publish most on?
By volume in 2022-now: 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 4 works
- 5 Imbalanced Data Classification Techniques Artificial Intelligence 3 works
- 6 Insurance and Financial Risk Management Economics and Econometrics 2 works
- 7 Cryptography and Data Security Artificial Intelligence 2 works
- 8 Distributed systems and fault tolerance Computer Networks and Communications 2 works
- 9 Artificial Intelligence in Healthcare and Education Health Informatics 1 works
- 10 Explainable Artificial Intelligence (XAI) 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: 40% of research is openly available.
World: 18% is written across borders.
How has Mastercard (United States)'s research output changed?
Output in 2022-2025 was 619% 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 Mastercard (United States) as a percentage of every work published that year, 0.00019% in 2024.
Fractional works of Mastercard (United States) over all fractional works that year. How the balance of science has shifted.
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 have tabs of their own, above.
Discussion
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