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Arctic and Antarctic ice dynamics

Arctic and Antarctic ice dynamics is a research topic within Atmospheric Science. Science Explorer counts 30k research works in it since 1950. 20.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the variability and decline of Arctic sea ice, including topics such as climate change impacts, remote sensing techniques, ocean circulation, freshwater cycle, and comparisons with Antarctic sea ice. The research synthesizes historical trends, observational data, and modeling to understand the rapid changes in the Arctic sea ice cover.

  • Arctic
  • Sea Ice
  • Decline
  • Variability
  • Climate Change
  • Remote Sensing
  • Ocean Circulation
  • Freshwater Cycle
  • Antarctic Comparison
  • Atmospheric Circulation
Research works
30k
fractional, since 1950
In the world top 10%
6.1k
per year above
Top-10% rate
20.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+36%
the tick is no change

Which countries lead Arctic and Antarctic ice dynamics research?

By volume, China and the United States publish the most (1.6k and 1,000 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.6k works
  2. 2 United States 1,000 works
  3. 3 Russia 614 works
  4. 4 Canada 333 works
  5. 5 United Kingdom 245 works
  6. 6 Germany 216 works
  7. 7 Norway 176 works
  8. 8 India 164 works
  9. 9 France 160 works
  10. 10 Japan 146 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: 34.4%United States: 21.5%Russia: 13.2%Canada: 7.1%6 others listed: 23.7%34%largest
China1,604 · 34.4%United States1,000 · 21.5%Russia614 · 13.2%Canada333 · 7.1%6 others listed1,106 · 23.7%

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

Which institutions lead Arctic and Antarctic ice dynamics research?

By volume in 2022–2025, Chinese Academy of Sciences publishes the most Arctic and Antarctic ice dynamics research, followed by Ocean University of China and Nanjing University of Information Science and Technology.

Who are the leading researchers in Arctic and Antarctic ice dynamics?

The most-cited researchers publishing on Arctic and Antarctic ice dynamics include Adrian E. Raftery, Dahe Qin and S. Haykin.

  1. 1 Adrian E. Raftery United States 5k citations
  2. 2 Dahe Qin China 4.2k citations
  3. 3 S. Haykin Canada 3.5k citations

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

Where is Arctic and Antarctic ice dynamics research done?

The largest centres of Arctic and Antarctic ice dynamics research in 2022–2025 are Beijing (China), Moscow (Russia), Qingdao (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Bremerhaven, Fairbanks and Sevastopol'.

Largest cities, 2022–2025

  1. 1 Beijing China 445 works
  2. 2 Moscow Russia 260 works
  3. 3 Qingdao China 132 works
  4. 4 Shanghai China 123 works
  5. 5 Nanjing China 112 works
  6. 6 Saint Petersburg Russia 104 works
  7. 7 Ottawa Canada 86 works
  8. 8 Guangzhou China 85 works
  9. 9 Lanzhou China 69 works
  10. 10 Boulder United States 66 works

Where it is the local speciality

  1. BremerhavenDE · 49.7 works148×
  2. FairbanksUS · 35.6 works112×
  3. Sevastopol'RU · 23.0 works101×
  4. FalmouthUS · 35.3 works99×
  5. TromsøNO · 52.3 works42×
← less than its size predictsmore →

Location quotient: how much more of its research is in Arctic and Antarctic ice dynamics than the world average.

See Arctic and Antarctic ice dynamics on the map

Where is the best place to study Arctic and Antarctic ice dynamics?

Among universities, judged by research, University of Bremen, UiT The Arctic University of Norway and Harbin Engineering University 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%mean 26.56%fractional works in this node (log) →share in the world top 10% →University of Bremen: 17, 30.5%UiT The Arctic University of Norway: 26, 26.1%Harbin Engineering University: 30, 20.4%Nanjing University of Information Science and Technology: 53, 18.1%University of Bergen: 16, 26.5%University of Exeter: 11, 36.5%University of Alaska Fairbanks: 35, 21.5%University of Tasmania: 12, 29.0%University of Colorado Boulder: 24, 24.4%Oregon State University: 14, 32.6%University of BremenUiT The Arctic Unive…Harbin Engineering U…Nanjing University o…
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 University of BremenGermany 68.530.5%13.6×17 +158.0%
2 UiT The Arctic University of NorwayNorway 67.426.1%30.5×26 +104.1%
3 Harbin Engineering UniversityChina 65.420.4%10.7×30 +281.9%
4 Nanjing University of Information Science and TechnologyChina 64.418.1%24.3×53 +109.8%
5 University of BergenNorway 59.926.5%11.6×16 +38.5%
6 University of ExeterUnited Kingdom 59.136.5%4.8×11 +201.6%
7 University of Alaska FairbanksUnited States 58.421.5%119.2×35 -0.9%
8 University of TasmaniaAustralia 57.929.0%10.7×12 +30.4%
9 University of Colorado BoulderUnited States 57.524.4%11.4×24 +22.6%
10 Oregon State UniversityUnited States 57.132.6%8.9×14 +32.5%

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 Arctic and Antarctic ice dynamics research growing?

Output in 2018–2022 was 36% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Arctic and Antarctic ice dynamics.

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.