Financial Literacy, Pension, Retirement Analysis
Financial Literacy, Pension, Retirement Analysis is a research topic within Accounting. Science Explorer counts 31k research works in it since 1950. 27.1% of them reached the world's top 10% most cited for their field and year.
This cluster of papers explores the importance of financial literacy, retirement planning, and household finance. It delves into topics such as consumer behavior, wealth inequality, investment decisions, asset allocation, income inequality, and the influence of behavioral economics on savings behavior.
- Financial Literacy
- Retirement Planning
- Household Finance
- Consumer Behavior
- Wealth Inequality
- Investment Decisions
- Asset Allocation
- Income Inequality
- Behavioral Economics
- Savings Behavior
- Research works
- 31k fractional, since 1950
- In the world top 10%
- 8.3k per year above
- Top-10% rate
- 27.1% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +29% the tick is no change
Which countries lead Financial Literacy, Pension, Retirement Analysis research?
By volume, the United States and Indonesia publish the most (1.5k and 675 works in 2022–2025).
By volume, 2022–2025
- 1 United States 1.5k works
- 2 Indonesia 675 works
- 3 China 614 works
- 4 India 557 works
- 5 Malaysia 257 works
- 6 United Kingdom 254 works
- 7 Brazil 183 works
- 8 Germany 174 works
- 9 Australia 172 works
- 10 Türkiye 142 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Financial Literacy, Pension, Retirement Analysis research?
By volume in 2022–2025, Universiti Teknologi MARA publishes the most Financial Literacy, Pension, Retirement Analysis research, followed by Northern University of Malaysia and National Bureau of Economic Research.
By volume, 2022–2025
- 1 Universiti Teknologi MARAMalaysia 43 works
- 2 Northern University of MalaysiaMalaysia 33 works
- 3 National Bureau of Economic ResearchUnited States 28 works
- 4 University of ChicagoUnited States 24 works
- 5 Tribhuvan UniversityNepal 23 works
- 6 Federal Reserve Board of GovernorsUnited States 22 works
- 7 University of PennsylvaniaUnited States 20 works
- 8 Renmin University of ChinaChina 20 works
- 9 Southwestern University of Finance and EconomicsChina 19 works
- 10 Department of CommerceAustralia 19 works
Who are the leading researchers in Financial Literacy, Pension, Retirement Analysis?
The most-cited researchers publishing on Financial Literacy, Pension, Retirement Analysis include Robert J. Barro, Joseph E. Stiglitz and Richard H. Thaler.
- 1 Robert J. Barro United States 7.9k citations
- 2 Joseph E. Stiglitz United States 7.4k citations
- 3 Richard H. Thaler United States 5.9k citations
- 4 Richard Blundell United Kingdom 5.2k citations
- 5 George Loewenstein United States 3.9k citations
- 6 Lawrence H. Summers United States 3.9k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Financial Literacy, Pension, Retirement Analysis research done?
The largest centres of Financial Literacy, Pension, Retirement Analysis research in 2022–2025 are Beijing (China), Washington D.C. (United States), Jakarta (Indonesia) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Jitra and Shah Alam.
Largest cities, 2022–2025
- 1 Beijing China 157 works
- 2 Washington D.C. United States 133 works
- 3 Jakarta Indonesia 95 works
- 4 London United Kingdom 93 works
- 5 New York United States 71 works
- 6 Kuala Lumpur Malaysia 64 works
- 7 Surabaya Indonesia 64 works
- 8 Seoul South Korea 54 works
- 9 Shanghai China 49 works
- 10 Shah Alam Malaysia 48 works
Where it is the local speciality
- JitraMY · 33.2 works27×
- Shah AlamMY · 47.6 works7.6×
Location quotient: how much more of its research is in Financial Literacy, Pension, Retirement Analysis than the world average.
Where is the best place to study Financial Literacy, Pension, Retirement Analysis?
Among universities, judged by research, Southwestern University of Finance and Economics, Northern University of Malaysia and Universiti Teknologi MARA score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Southwestern University of Finance and EconomicsChina | 71.5 | 47.4% | 19.7× | 19 | +28.7% |
| 2 | Northern University of MalaysiaMalaysia | 66.6 | 11.1% | 27.1× | 33 | +295.2% |
| 3 | Universiti Teknologi MARAMalaysia | 65.5 | 13.7% | 8.2× | 43 | +236.0% |
| 4 | University of MalayaMalaysia | 64.4 | 48.8% | 4.6× | 17 | +137.3% |
| 5 | Capital University of Economics and BusinessChina | 59.7 | 44.8% | 17.2× | 8 | +31.0% |
| 6 | Renmin University of ChinaChina | 58.1 | 34.7% | 8.9× | 20 | -15.8% |
| 7 | Central University of Finance and EconomicsChina | 56.4 | 28.4% | 21.9× | 17 | +2.5% |
| 8 | University of South AfricaSouth Africa | 56.0 | 32.2% | 5.0× | 15 | +293.1% |
| 9 | University of International Business and EconomicsChina | 55.3 | 31.7% | 23.3× | 15 | -34.2% |
| 10 | Tribhuvan UniversityNepal | 54.3 | 24.0% | 7.9× | 23 | — |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Financial Literacy, Pension, Retirement Analysis research growing?
Output in 2018–2022 was 29% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Financial Literacy, Pension, Retirement Analysis.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.