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Topic · Management Science and Operations Research

demographic modeling and climate adaptation

demographic modeling and climate adaptation is a research topic within Management Science and Operations Research. Science Explorer counts 11k research works in it since 1950. 10.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and application of spatial microsimulation models for policy analysis, with a particular emphasis on small area estimation, climate change, health inequalities, synthetic data generation, and the geographical impact of policies. The papers also cover topics such as dynamic microsimulation, social policy evaluation, and population dynamics.

  • Spatial Microsimulation
  • Small Area Estimation
  • Policy Analysis
  • Climate Change
  • Health Inequalities
  • Synthetic Data Generation
  • Geographical Impact
  • Dynamic Microsimulation
  • Social Policy Evaluation
  • Population Dynamics
Research works
11k
fractional, since 1950
In the world top 10%
1.2k
per year above
Top-10% rate
10.6%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+7%
the tick is no change
Largest producer
United States
28% of the 10 largest, 2022-now
demographic modeling and climate adaptation

Which countries lead demographic modeling and climate adaptation research?

By volume, the United States and the United Kingdom publish the most (386 and 279 works in 2022-now).

By volume, 2022-now

  1. 1 United States 386 works
  2. 2 United Kingdom 279 works
  3. 3 Australia 190 works
  4. 4 Germany 121 works
  5. 5 China 81 works
  6. 6 Canada 80 works
  7. 7 Italy 76 works
  8. 8 Netherlands 70 works
  9. 9 Indonesia 52 works
  10. 10 France 47 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.

United States: 27.9%United Kingdom: 20.2%Australia: 13.7%Germany: 8.7%6 others listed: 29.4%28%largest
United States386 · 27.9%United Kingdom279 · 20.2%Australia190 · 13.7%Germany121 · 8.7%6 others listed407 · 29.4%

Shares of the rows listed above, not of the whole node.

Which institutions lead demographic modeling and climate adaptation research?

By volume in 2022-now, The University of Melbourne publishes the most demographic modeling and climate adaptation research, followed by Australian National University and University College London.

By volume, 2022-now

  1. 1 The University of MelbourneAustralia 24 works
  2. 2 Australian National UniversityAustralia 17 works
  3. 3 University College LondonUnited Kingdom 15 works
  4. 4 Sapienza University of RomeItaly 15 works
  5. 5 Centre National de la Recherche ScientifiqueFrance 14 works
  6. 6 University of North Carolina at Chapel HillUnited States 12 works
  7. 7 University of OxfordUnited Kingdom 11 works
  8. 8 UNSW SydneyAustralia 11 works
  9. 9 University of GlasgowUnited Kingdom 11 works
  10. 10 The University of QueenslandAustralia 11 works

Who are the leading researchers in demographic modeling and climate adaptation?

The most-cited researchers publishing on demographic modeling and climate adaptation include Theo Vos, George Davey Smith and Ali H. Mokdad.

  1. 1 Theo Vos United States 439k citations
  2. 2 George Davey Smith United Kingdom 435k citations
  3. 3 Ali H. Mokdad United States 429k citations
  4. 4 Zulfiqar Ahmed Bhutta Pakistan 371k citations
  5. 5 Donald B. Rubin United States 301k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in demographic modeling and climate adaptation?

The most cited paper in demographic modeling and climate adaptation is "Regression Models and Life-Tables" (D. R. Cox, 1972), with 39,869 citations. Next come "Regression Models and Life-Tables" (26,650) and "The next generation of scenarios for climate change research and assessment" (6,734).

Most cited papers
#PaperReleasedCitations
1 Regression Models and Life-Tables D. R. Cox · Journal of the Royal Statistical Society Series B (Statistical Methodology) 1972 39,869
2 Regression Models and Life-Tables David R. Cox · Springer series in statistics Book chapter 1992 26,650
3 The next generation of scenarios for climate change research and assessment Richard H. Moss, Jae Edmonds, Kathy A. Hibbard et al. · Nature Feb 2010 6,734
4 Climate change 2001: The scientific basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change David Griggs, M. Noguer · Weather Aug 2002 5,819
5 A new scenario framework for climate change research: the concept of shared socioeconomic pathways Brian C. O’Neill, Elmar Kriegler, Keywan Riahi et al. · Climatic Change Open access 14 Oct 2013 2,814
All 99 most cited papers, with filters and sorting

Where is demographic modeling and climate adaptation research done?

The largest centres of demographic modeling and climate adaptation research in 2022-now are London (United Kingdom), Melbourne (Australia), Canberra (Australia) and Sydney (Australia). Among places with at least 20 works in it, it is an unusually large share of all research in Canberra.

Largest cities, 2022-now

  1. 1 LondonUnited Kingdom 64 works
  2. 2 MelbourneAustralia 51 works
  3. 3 CanberraAustralia 34 works
  4. 4 SydneyAustralia 30 works
  5. 5 RomeItaly 28 works
  6. 6 Washington D.C.United States 22 works
  7. 7 BeijingChina 21 works
  8. 8 BrisbaneAustralia 20 works
  9. 9 New YorkUnited States 19 works
  10. 10 TokyoJapan 16 works

Where it is the local speciality

  1. CanberraAU · 33.9 works13×
← less than its size predicts1×more →

Location quotient: how much more of its research is in demographic modeling and climate adaptation than the world average.

See demographic modeling and climate adaptation on the map

Where is the best place to study demographic modeling and climate adaptation?

Among universities, judged by research, Sapienza University of Rome, The University of Melbourne and University College London 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.

0%20%40%60%mean 17.93%fractional works in this field (log) →share of work in the world top 10% →Sapienza University …University of OxfordThe University of Me…University College L…
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Sapienza University of RomeItaly 77.948.5%7.8×15 +741.9%
2The University of MelbourneAustralia 61.411.2%13.3×24 +9.9%
3University College LondonUnited Kingdom 51.810.5%5.7×15 +26.0%
4University of OxfordUnited Kingdom 46.019.0%4.9×11 +19.0%
5Australian National UniversityAustralia 43.310.7%19.7×16 -15.9%
6University of GlasgowUnited Kingdom 42.211.3%10.2×11 +11.3%
7The University of QueenslandAustralia 41.121.2%6.8×11 -2.7%
8University of LeedsUnited Kingdom 39.821.7%10.3×10 -24.9%
9UNSW SydneyAustralia 36.614.4%7.5×11 -42.0%
10University of LiverpoolUnited Kingdom 36.310.8%9.0×8 +116.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in demographic modeling and climate adaptation, country by country

Is demographic modeling and climate adaptation research growing?

Output in 2022-2025 was 7% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are demographic modeling and climate adaptation.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is demographic modeling and climate adaptation as a percentage of every work published that year, 0.0086% in 2024.

still counting0.0050%0.010%0.015%demographic modeling and climate adaptation0.0090% in 202519801990200020102020

Fractional works of demographic modeling and climate adaptation over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%demographic modeling and climate adaptation10.9% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

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.

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