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Company · Purchase · United States

Mastercard (United States)

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.

  1. Business, Management and AccountingField · 21.6 works9.5×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.07× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 0.46× its world share, 0 worksNeuroscienceChemistry: 0.10× its world share, 0 worksChemistryComputer Science: 4.94× its world share, 27 worksComputer ScienceEngineering: 0.38× its world share, 4 worksEngineeringEnvironmental Science: 0.10× its world share, 0 worksEnvironmental ScienceMathematics: 0.13× its world share, 0 worksMathematicsPhysics and Astronomy: 0.43× its world share, 1 worksPhysics and AstronomyDentistry: 1.95× its world share, 1 worksDentistryHealth Professions: 0.26× its world share, 0 worksHealth ProfessionsMedicine: 0.17× its world share, 2 worksMedicineBusiness, Management and Accounting: 9.52× its world share, 22 worksBusiness, Management…Decision Sciences: 1.14× its world share, 1 worksDecision SciencesEconomics, Econometrics and Finance: 3.08× its world share, 5 worksEconomics, Econometr…Psychology: 0.35× its world share, 1 worksPsychologySocial Sciences: 0.64× its world share, 6 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Business, Management and Accounting, 9.5×. Every wedge is a field page.

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. 1 Murali Malempati United States · #725,839 worldwide 9 citations · 17 works
All ranked researchers at Mastercard (United States)

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Machine Learning13▲ 5.8×21 topics
  2. Supply Chain Management10▲ 15×5 topics
  3. Big Data9▲ 14×7 topics
  4. Investment Decisions9▲ 105×2 topics
  5. Entrepreneurship9▲ 33×3 topics
  6. Social Capital9▲ 24×3 topics
  7. Crowdfunding9▲ 170×1 topic
  8. Fintech9▲ 160×1 topic
  9. Neural Networks8▲ 7.3×10 topics
  10. Deep Learning7▲ 2.9×20 topics
  11. Sustainability7▲ 4.0×6 topics
  12. Analytics6▲ 85×1 topic
  13. Business Intelligence6▲ 85×1 topic
  14. Firm Performance6▲ 43×2 topics
  15. Healthcare5▲ 6.5×6 topics
  16. Financial Crisis4▲ 57×2 topics
  17. Ensemble Learning4▲ 93×2 topics
  18. Predictive Modeling4▲ 22×2 topics
  19. Artificial Intelligence4▲ 4.3×8 topics
  20. Bankruptcy Prediction4▲ 282×1 topic
  21. Credit Scoring4▲ 282×1 topic
  22. Internet of Things4▲ 6.9×5 topics
  23. Security4▲ 9.0×5 topics
  24. Privacy3▲ 16×2 topics
  25. Classification3▲ 9.9×3 topics
  26. Regulation3▲ 8.4×4 topics
  27. Blockchain3▲ 18×1 topic
  28. Smart Contracts3▲ 26×1 topic
  29. Digital Transformation3▲ 7.8×9 topics
  30. Imbalanced Data3▲ 106×1 topic
  31. Risk Management3▲ 7.9×2 topics
  32. SMOTE3▲ 106×1 topic
  33. Economic Growth2▲ 4.2×3 topics
  34. Anomaly Detection2▲ 11×4 topics
  35. Catastrophe Bonds2▲ 73×1 topic
  36. Financial Performance2▲ 5.5×2 topics
  37. Insurance2▲ 40×1 topic
  38. IoT Security2▲ 8.6×3 topics
  39. Cybersecurity2▲ 9.9×4 topics
  40. 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.

  1. 1 FinTech, Crowdfunding, Digital Finance Management Information Systems 9 works
  2. 2 Big Data and Business Intelligence Management Information Systems 6 works
  3. 3 Financial Distress and Bankruptcy Prediction Accounting 4 works
  4. 4 Blockchain Technology Applications and Security Information Systems 3 works
  5. 5 Imbalanced Data Classification Techniques Artificial Intelligence 3 works
  6. 6 Insurance and Financial Risk Management Economics and Econometrics 2 works
  7. 7 Artificial Intelligence in Healthcare and Education Health Informatics 1 works
  8. 8 Network Security and Intrusion Detection Computer Networks and Communications 1 works
  9. 9 Reservoir Engineering and Simulation Methods Ocean Engineering 1 works
  10. 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.

openly available54.0%not open46.0%

World: 28% of research is openly available.

with international co-authors19.4%domestic only80.6%

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.

1990200020102020
grewheldshrank

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

All research institutions in Purchase

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.