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Morgan Stanley (United States)

In research, Morgan Stanley (United States) stands highest in Social Sciences (#8,223 of 10,521 worldwide), 2022–2025. Relative to its size it is most specialised in Finance, Economics, Econometrics and Finance and Artificial Intelligence — Finance is 48.5× its share of world research.

morganstanley.com/about-us/global-offices/united-statesROR OpenAlex
World rank, 2022–2025
#21,306
of 28,054 · #15,576 all time
Rank in United States
#3,142
of 4,192
Research works
896
▲ 9% vs 2013–17
Citations
24k
26.7 per fractional work
Top-10% rate
18.9%
record average 16.5%
Open access
29%
world 28%

What is Morgan Stanley (United States) known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Social SciencesDomain #8,223 of 10,521 15.3%74 #4310

Each strip is that field’s whole ranked pool, with the notch where Morgan Stanley (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 Morgan Stanley (United States) specialise in?

Where its research is concentrated relative to its size: Finance takes 48.5× the share of its output that it takes of world research.

  1. FinanceSubfield · 21.2 works48×
  2. Economics, Econometrics and FinanceField · 37.2 works12×
  3. Artificial IntelligenceSubfield · 20.0 works5.7×
← 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: 0.12× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.06× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 0.17× its world share, 0 worksNeuroscienceComputer Science: 3.54× its world share, 40 worksComputer ScienceEarth and Planetary Sciences: 0.07× its world share, 0 worksEarth and Planetary …Energy: 0.17× its world share, 0 worksEnergyEngineering: 0.31× its world share, 7 worksEngineeringEnvironmental Science: 0.23× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.02× its world share, 0 worksMaterials ScienceMathematics: 1.74× its world share, 3 worksMathematicsPhysics and Astronomy: 0.10× its world share, 0 worksPhysics and AstronomyDentistry: 0.34× its world share, 0 worksDentistryHealth Professions: 1.85× its world share, 7 worksHealth ProfessionsMedicine: 0.32× its world share, 9 worksMedicineNursing: 1.41× its world share, 1 worksNursingArts and Humanities: 0.39× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 2.49× its world share, 12 worksBusiness, Management…Decision Sciences: 7.72× its world share, 11 worksDecision SciencesEconomics, Econometrics and Finance: 12.02× its world share, 37 worksEconomics, Econometr…Psychology: 0.85× its world share, 4 worksPsychologySocial Sciences: 0.48× its world share, 9 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Economics, Econometrics and Finance, 12.0×. Every wedge is a field page.

Who are the top researchers at Morgan Stanley (United States)?

Ranked on the composite score, Martin L. Leibowitz and King Wang lead among researchers whose main affiliation is Morgan Stanley (United States).

  1. 1 Martin L. Leibowitz United States · #850,863 worldwide 92 citations · 29 works
  2. 2 King Wang United States · #1,393,299 worldwide 11 citations · 21 works
All ranked researchers at Morgan Stanley (United States)

Which keywords describe research at Morgan Stanley (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Risk Management, Economic Growth, Asset Pricing, Neural Networks, Deep Learning, Liquidity, Monte Carlo Simulation and Option Pricing.

▲ 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. Deep Learning12▲ 2.4×32 topics
  2. Neural Networks9▲ 4.1×18 topics
  3. Machine Learning9▲ 1.90×27 topics
  4. Economic Growth8▲ 6.8×9 topics
  5. Risk Management8▲ 12×6 topics
  6. Asset Pricing8▲ 62×2 topics
  7. Liquidity6▲ 56×3 topics
  8. Monte Carlo Simulation6▲ 21×2 topics
  9. Internet of Things6▲ 4.6×11 topics
  10. Option Pricing6▲ 164×1 topic
  11. Stochastic Calculus6▲ 164×1 topic
  12. Finance5▲ 19×4 topics
  13. Big Data5▲ 4.1×13 topics
  14. Monetary Policy5▲ 15×6 topics
  15. Financial Stability5▲ 17×7 topics
  16. Security5▲ 5.0×8 topics
  17. Supply Chain Management5▲ 3.5×5 topics
  18. Market Efficiency4▲ 43×2 topics
  19. Homomorphic Encryption4▲ 64×1 topic
  20. Identity-Based Encryption4▲ 64×1 topic
  21. Investor Sentiment4▲ 65×1 topic
  22. Stock Returns4▲ 65×1 topic
  23. Agent-Based Modeling4▲ 20×4 topics
  24. Convex Optimization4▲ 34×3 topics
  25. Regulation4▲ 4.9×4 topics
  26. Competitive Economy4▲ 110×1 topic
  27. Monetary Equilibrium4▲ 110×1 topic
  28. Primary Care4▲ 6.4×8 topics
  29. Fiscal Policy3▲ 11×6 topics
  30. Privacy3▲ 8.0×3 topics
  31. Game Theory3▲ 13×4 topics
  32. Stochastic Programming3▲ 101×2 topics
  33. Conditional Value-at-Risk3▲ 201×1 topic
  34. Robust Optimization3▲ 201×1 topic
  35. Technology Adoption3▲ 13×2 topics
  36. Blockchain3▲ 8.8×1 topic
  37. GARCH Models3▲ 95×1 topic
  38. Smart Contracts3▲ 13×1 topic
  39. Volatility3▲ 95×1 topic
  40. Investment Under Uncertainty3▲ 222×1 topic

Which research topics does Morgan Stanley (United States) publish most on?

By volume in 2022–2025: Stochastic processes and financial applications, Financial Markets and Investment Strategies, Cryptography and Data Security and Economic theories and models.

Stochastic processes and…6Stochastic processes and financial applications: 6 fractional worksFinancial Markets and In…4Financial Markets and Investment Strategies: 4 fractional worksCryptography and Data Se…4Cryptography and Data Security: 4 fractional worksEconomic theories and mo…4Economic theories and models: 4 fractional worksRisk and Portfolio Optimization: 3 fractional worksBlockchain Technology Applications and Security: 3 fractional worksFinancial Risk and Volat…3Financial Risk and Volatility Modeling: 3 fractional worksCapital Investment and R…3Capital Investment and Risk Analysis: 3 fractional worksComplex Systems and Time…3Complex Systems and Time Series Analysis: 3 fractional worksPrivacy-Preserving Techn…2Privacy-Preserving Technologies in Data: 2 fractional works
FinanceArtificial IntelligenceEconomics and EconometricsManagement Science and Operations Research1 others

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Stochastic processes and financial applications Finance 6 works
  2. 2 Financial Markets and Investment Strategies Finance 4 works
  3. 3 Cryptography and Data Security Artificial Intelligence 4 works
  4. 4 Economic theories and models Economics and Econometrics 4 works
  5. 5 Risk and Portfolio Optimization Management Science and Operations Research 3 works
  6. 6 Blockchain Technology Applications and Security Information Systems 3 works
  7. 7 Financial Risk and Volatility Modeling Finance 3 works
  8. 8 Capital Investment and Risk Analysis Finance 3 works
  9. 9 Complex Systems and Time Series Analysis Economics and Econometrics 3 works
  10. 10 Privacy-Preserving Technologies in Data 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.

openly available29.3%not open70.7%

World: 28% of research is openly available.

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

World: 19% is written across borders.

How has Morgan Stanley (United States)'s research output changed?

Output in 2018–2022 was 9% 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 New York

All research institutions in New York

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.