Census and Population Estimation
Census and Population Estimation is a research topic within Statistics and Probability. Science Explorer counts 5.5k research works in it since 1950. 13.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the application of capture-recapture models to estimate population size, particularly in the context of heterogeneous detection probabilities, mixture models, Bayesian analysis, and covariate adjustment. It also addresses the challenges of estimating population size for hidden and elusive populations using multiple systems estimation and dealing with incomplete data.
- Capture-Recapture
- Population Size Estimation
- Heterogeneous Detection Probabilities
- Mixture Models
- Bayesian Analysis
- Species Richness Estimation
- Covariate Adjustment
- Hidden and Elusive Populations
- Multiple Systems Estimation
- Incomplete Data
- Research works
- 5.5k fractional, since 1950
- In the world top 10%
- 753 per year above
- Top-10% rate
- 13.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- -3% the tick is no change
Which countries lead Census and Population Estimation research?
By volume, the United States and the United Kingdom publish the most (203 and 72 works in 2022–2025).
By volume, 2022–2025
- 1 United States 203 works
- 2 United Kingdom 72 works
- 3 Canada 32 works
- 4 Italy 28 works
- 5 France 26 works
- 6 India 24 works
- 7 Australia 22 works
- 8 Germany 14 works
- 9 Brazil 13 works
- 10 China 11 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 Census and Population Estimation research?
By volume in 2022–2025, Istituto Nazionale di Statistica publishes the most Census and Population Estimation research, followed by University of Southampton and United States Census Bureau.
By volume, 2022–2025
- 1 Istituto Nazionale di Statistica Italy 7 works
- 2 University of Southampton United Kingdom 6 works
- 3 United States Census Bureau United States 6 works
- 4 Sapienza University of Rome Italy 5 works
- 5 Office for National Statistics United Kingdom 5 works
- 6 University of Michigan United States 5 works
- 7 Imperial College London United Kingdom 4 works
- 8 University of Otago New Zealand 4 works
- 9 University of North Carolina at Chapel Hill United States 4 works
- 10 Emory University United States 4 works
Who are the leading researchers in Census and Population Estimation?
The most-cited researchers publishing on Census and Population Estimation include Donald B. Rubin and John W. Tukey.
- 1 Donald B. Rubin 4.7k citations
- 2 John W. Tukey 4.4k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Census and Population Estimation research done?
The largest centres of Census and Population Estimation research in 2022–2025 are London (United Kingdom), Rome (Italy), New York (United States) and Washington D.C. (United States). Among places with at least 20 works in it, it is an unusually large share of all research in London.
Largest cities, 2022–2025
- 1 London United Kingdom 21 works
- 2 Rome Italy 17 works
- 3 New York United States 16 works
- 4 Washington D.C. United States 13 works
- 5 Paris France 9 works
- 6 Atlanta United States 7 works
- 7 Southampton United Kingdom 7 works
- 8 Montreal Canada 6 works
- 9 Ottawa Canada 6 works
- 10 Suitland United States 6 works
Where it is the local speciality
- LondonGB · 20.9 works3.8×
Location quotient: how much more of its research is in Census and Population Estimation than the world average.
Is Census and Population Estimation research growing?
Output in 2018–2022 was 3% lower than in 2013–2017, peaking in 2025. The fastest-growing topics are Census and Population Estimation.
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.