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Geometric Analysis and Curvature Flows

Geometric Analysis and Curvature Flows is a research topic within Applied Mathematics. Science Explorer counts 26k research works in it since 1950. 16.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the mathematical theory and applications of optimal transport, including topics such as Ricci curvature, Wasserstein distance, metric measure spaces, gradient flows, Sobolev inequalities, the Monge-Kantorovich problem, mean curvature flow, and minimal surfaces.

  • Optimal Transport
  • Ricci Curvature
  • Wasserstein Distance
  • Metric Measure Spaces
  • Gradient Flows
  • Sobolev Inequalities
  • Monge-Kantorovich Problem
  • Mean Curvature Flow
  • Geometric Applications
  • Minimal Surfaces
Research works
26k
fractional, since 1950
In the world top 10%
4.3k
per year above
Top-10% rate
16.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+10%
the tick is no change

Which countries lead Geometric Analysis and Curvature Flows research?

By volume, China and the United States publish the most (842 and 616 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 842 works
  2. 2 United States 616 works
  3. 3 France 258 works
  4. 4 Italy 251 works
  5. 5 India 240 works
  6. 6 Germany 224 works
  7. 7 Türkiye 223 works
  8. 8 Japan 197 works
  9. 9 Brazil 183 works
  10. 10 Russia 156 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.

China: 26.4%United States: 19.3%France: 8.1%Italy: 7.9%6 others listed: 38.3%26%largest
China842 · 26.4%United States616 · 19.3%France258 · 8.1%Italy251 · 7.9%6 others listed1,223 · 38.3%

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

Which institutions lead Geometric Analysis and Curvature Flows research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Geometric Analysis and Curvature Flows research, followed by Tsinghua University and University of Science and Technology of China.

Who are the leading researchers in Geometric Analysis and Curvature Flows?

The most-cited researchers publishing on Geometric Analysis and Curvature Flows include Stanley Osher, Terence Tao and Élliott H. Lieb.

  1. 1 Stanley Osher United States 8k citations
  2. 2 Terence Tao United States 3.1k citations
  3. 3 Élliott H. Lieb United States 2.5k citations
  4. 4 G. W. Gibbons United Kingdom 2.2k citations

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

Where is Geometric Analysis and Curvature Flows research done?

The largest centres of Geometric Analysis and Curvature Flows research in 2022–2025 are Beijing (China), Paris (France), Shanghai (China) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Qazvin.

Largest cities, 2022–2025

  1. 1 Beijing China 166 works
  2. 2 Paris France 93 works
  3. 3 Shanghai China 74 works
  4. 4 Moscow Russia 70 works
  5. 5 Tokyo Japan 54 works
  6. 6 New York United States 49 works
  7. 7 Wuhan China 46 works
  8. 8 Nanjing China 41 works
  9. 9 Riyadh Saudi Arabia 41 works
  10. 10 Hangzhou China 37 works

Where it is the local speciality

  1. QazvinIR · 20.3 works36×
← less than its size predictsmore →

Location quotient: how much more of its research is in Geometric Analysis and Curvature Flows than the world average.

See Geometric Analysis and Curvature Flows on the map

Where is the best place to study Geometric Analysis and Curvature Flows?

Among universities, judged by research, Hangzhou Normal University, Imam Khomeini International University and University of Jyväskylä 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%25%50%mean 24.85%fractional works in this node (log) →share in the world top 10% →Hangzhou Normal University: 11, 57.5%Imam Khomeini International University: 20, 17.3%University of Jyväskylä: 16, 32.9%Jazan University: 12, 18.9%University of Vienna: 22, 20.7%Imam Mohammad ibn Saud Islamic University: 14, 22.8%Stony Brook University: 14, 26.7%Courant Institute of Mathematical Sciences: 10, 32.8%Université Mustapha Stambouli de Mascara: 11, 7.6%Universidad de Granada: 27, 11.3%Hangzhou Normal Univ…University of Jyväsk…Jazan UniversityImam Khomeini Intern…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Hangzhou Normal UniversityChina 63.957.5%12.3×11 +4.2%
2 Imam Khomeini International UniversityIran 63.117.3%82.7×20 +466.7%
3 University of JyväskyläFinland 61.632.9%20.2×16 +57.1%
4 Jazan UniversitySaudi Arabia 60.718.9%12.9×12 +345.9%
5 University of ViennaAustria 60.120.7%10.3×22 +64.8%
6 Imam Mohammad ibn Saud Islamic UniversitySaudi Arabia 58.122.8%17.2×14
7 Stony Brook UniversityUnited States 53.626.7%10.7×14 +39.5%
8 Courant Institute of Mathematical SciencesUnited States 53.332.8%101.8×10 +10.6%
9 Université Mustapha Stambouli de MascaraAlgeria 51.87.6%83.0×11 +242.5%
10 Universidad de GranadaSpain 50.911.3%11.8×27 -30.6%

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 Geometric Analysis and Curvature Flows research growing?

Output in 2018–2022 was 10% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Geometric Analysis and Curvature Flows.

19801990200020102020
grewheldshrank

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.