BlackRock (United States)
In research, BlackRock (United States) stands highest in Social Sciences (#12,885 of 16,945 worldwide) and Economics, Econometrics and Finance (#2,683 of 3,268 worldwide), over all time.
- World rank, all time
- #35,522 of 42,892
- Rank in United States
- #7,525 of 8,685
- Research works
- 221 ◆ 2% vs 2013–17
- Citations
- 4.7k 21.4 per fractional work
- Top-10% rate
- 12.4% record average 16.5%
- Open access
- 63% world 28%
What is BlackRock (United States) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Social SciencesDomain | #12,885 of 16,945 | 14.5% | 186 | |
| Economics, Econometrics and FinanceField | #2,683 of 3,268 | 15.0% | 126 |
Each strip is that field’s whole ranked pool, with the notch where BlackRock (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).
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: Economics, Econometrics and Finance, 17.7×. Every wedge is a field page.
- Economics, Econometrics and Finance 17.7×
- Decision Sciences 14.8×
- Computer Science 3.9×
- Business, Management and Accounting 3.1×
- Earth and Planetary Sciences 0.9×
- Mathematics 0.6×
- Energy 0.6×
- Neuroscience 0.5×
- Physics and Astronomy 0.5×
- Social Sciences 0.1×
- Health Professions 0.1×
- Environmental Science 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at BlackRock (United States)?
Ranked on the composite score, Andrew Ang, Ananth Madhavan and Dhagash Mehta lead among researchers whose main affiliation is BlackRock (United States).
- 1 Andrew Ang United States · #7,409 worldwide 1.3k citations · 54 works
- 2 Ananth Madhavan United States · #52,513 worldwide 575 citations · 40 works
- 3 Dhagash Mehta United States · #662,072 worldwide 69 citations · 46 works
Which keywords describe research at BlackRock (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Asset Pricing, Monetary Policy, Liquidity, Market Efficiency, Stock Returns and Support Vector Machines.
- Verification and Validation
- Self-Organizing Maps
- High-Dimensional Data
- Dimensionality Reduction
- Machine Learning
- Banking
- Machine Translation
- Big Data
- Regulation
- Risk Management
- Corporate Governance
- Finance
- Stock Market Prediction
- Support Vector Machines
- Market Efficiency
- Monetary Policy
- Neural Networks
- Deep Learning
- Asset Pricing
- Liquidity
- Stock Returns
- Agent-Based Modeling
- Time Series Forecasting
- Economic Growth
- Information Retrieval
- Investment
- Time Series
- Financial Performance
- Word Representation
- Credit
- Backpropagation Learning
- Econophysics
- Multifractal Analysis
- Simulation Optimization
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 34 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 34 words, with their numbers
- Deep Learning6▲ 5.7×7 topics
- Neural Networks6▲ 12×7 topics
- Asset Pricing3▲ 122×2 topics
- Monetary Policy3▲ 41×4 topics
- Liquidity3▲ 116×3 topics
- Market Efficiency3▲ 123×1 topic
- Stock Returns3▲ 191×1 topic
- Support Vector Machines2▲ 25×3 topics
- Agent-Based Modeling2▲ 50×2 topics
- Stock Market Prediction2▲ 120×1 topic
- Time Series Forecasting2▲ 120×1 topic
- Finance2▲ 33×3 topics
- Economic Growth2▲ 6.6×5 topics
- Corporate Governance2▲ 7.1×4 topics
- Information Retrieval2▲ 24×2 topics
- Risk Management1▲ 9.4×4 topics
- Investment1▲ 44×3 topics
- Regulation1▲ 8.1×2 topics
- Time Series1▲ 25×2 topics
- Big Data1▲ 4.4×4 topics
- Financial Performance1▲ 6.8×3 topics
- Machine Translation1▲ 24×1 topic
- Word Representation1▲ 33×1 topic
- Banking1▲ 82×1 topic
- Credit1▲ 82×1 topic
- Machine Learning1◆ 1.11×5 topics
- Backpropagation Learning1▲ 41×1 topic
- Dimensionality Reduction1▲ 46×2 topics
- Econophysics1▲ 107×1 topic
- High-Dimensional Data1▲ 21×2 topics
- Multifractal Analysis1▲ 107×1 topic
- Self-Organizing Maps1▲ 41×1 topic
- Simulation Optimization1▲ 205×1 topic
- Verification and Validation1▲ 205×1 topic
Which research topics does BlackRock (United States) publish most on?
By volume in 2022–2025: Financial Markets and Investment Strategies, Stock Market Forecasting Methods, Topic Modeling and Banking stability, regulation, efficiency.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Financial Markets and Investment Strategies Finance 3 works
- 2 Stock Market Forecasting Methods Management Science and Operations Research 2 works
- 3 Topic Modeling Artificial Intelligence 1 works
- 4 Banking stability, regulation, efficiency Finance 1 works
- 5 Complex Systems and Time Series Analysis Economics and Econometrics 1 works
- 6 Neural Networks and Applications Artificial Intelligence 1 works
- 7 Simulation Techniques and Applications Management Science and Operations Research 1 works
- 8 Credit Risk and Financial Regulations Finance 1 works
- 9 Market Dynamics and Volatility Economics and Econometrics 1 works
- 10 Stochastic processes and financial applications Finance 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 BlackRock (United States)'s research output changed?
Output in 2018–2022 was 2% lower 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 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.