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Topic · Oceanography

Ocean Waves and Remote Sensing

Ocean Waves and Remote Sensing is a research topic within Oceanography. Science Explorer counts 31k research works in it since 1950. 18.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the dynamics of ocean surface waves, their interaction with wind, and the associated phenomena such as rogue waves, tropical cyclones, and Langmuir turbulence. It covers topics such as wave modeling, wind stress, satellite altimetry, and the impact of surface waves on air-sea interaction.

  • Ocean Waves
  • Wind Stress
  • Wave Climate
  • Rogue Waves
  • Tropical Cyclones
  • Wave Modeling
  • Surface Turbulence
  • Satellite Altimetry
  • Langmuir Turbulence
  • Air-Sea Interaction
Research works
31k
fractional, since 1950
In the world top 10%
5.7k
per year above
Top-10% rate
18.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
the tick is no change

Which countries lead Ocean Waves and Remote Sensing research?

By volume, China and the United States publish the most (1.6k and 659 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.6k works
  2. 2 United States 659 works
  3. 3 India 285 works
  4. 4 France 262 works
  5. 5 Russia 181 works
  6. 6 United Kingdom 163 works
  7. 7 Italy 134 works
  8. 8 Japan 127 works
  9. 9 Australia 103 works
  10. 10 Germany 96 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: 44.8%United States: 18.1%India: 7.8%France: 7.2%6 others listed: 22.1%45%largest
China1,634 · 44.8%United States659 · 18.1%India285 · 7.8%France262 · 7.2%6 others listed804 · 22.1%

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

Which institutions lead Ocean Waves and Remote Sensing research?

By volume in 2022–2025, Ocean University of China publishes the most Ocean Waves and Remote Sensing research, followed by Ministry of Natural Resources and National University of Defense Technology.

Who are the leading researchers in Ocean Waves and Remote Sensing?

The most-cited researchers publishing on Ocean Waves and Remote Sensing include J. Mueller, Norden E. Huang and Quanan Zheng.

  1. 1 J. Mueller United States 8.7k citations
  2. 2 Norden E. Huang United States 5.4k citations
  3. 3 Quanan Zheng United States 4.5k citations
  4. 4 Jean‐Raymond Bidlot United Kingdom 3.7k citations
  5. 5 S. Haykin Canada 3.5k citations
  6. 6 C. Guedes Soares Portugal 2.7k citations

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

Where is Ocean Waves and Remote Sensing research done?

The largest centres of Ocean Waves and Remote Sensing research in 2022–2025 are Beijing (China), Qingdao (China), Shanghai (China) and Nanjing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Zhoushan and Brest.

Largest cities, 2022–2025

  1. 1 Beijing China 350 works
  2. 2 Qingdao China 220 works
  3. 3 Shanghai China 130 works
  4. 4 Nanjing China 117 works
  5. 5 Guangzhou China 103 works
  6. 6 Moscow Russia 78 works
  7. 7 Paris France 69 works
  8. 8 Wuhan China 67 works
  9. 9 Changsha China 65 works
  10. 10 Dalian China 58 works

Where it is the local speciality

  1. ZhoushanCN · 23.3 works26×
  2. BrestFR · 24.0 works22×
← less than its size predictsmore →

Location quotient: how much more of its research is in Ocean Waves and Remote Sensing than the world average.

See Ocean Waves and Remote Sensing on the map

Where is the best place to study Ocean Waves and Remote Sensing?

Among universities, judged by research, National University of Defense Technology, Zhejiang Ocean University and Ocean University of China 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%10%20%30%mean 21.56%fractional works in this node (log) →share in the world top 10% →National University of Defense Technology: 53, 23.2%Zhejiang Ocean University: 22, 22.2%Ocean University of China: 92, 17.6%Nanjing University of Information Science and Technology: 44, 15.2%Memorial University of Newfoundland: 11, 23.5%Harbin Engineering University: 21, 19.0%Delft University of Technology: 26, 23.5%Dalian University of Technology: 35, 28.1%Shanghai Ocean University: 22, 25.6%Norwegian University of Science and Technology: 17, 17.7%National University …Zhejiang Ocean Unive…Ocean University of …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 National University of Defense TechnologyChina 69.123.2%14.9×53 +221.0%
2 Zhejiang Ocean UniversityChina 62.822.2%28.6×22 +477.4%
3 Ocean University of ChinaChina 61.217.6%39.7×92 +24.4%
4 Nanjing University of Information Science and TechnologyChina 58.115.2%23.5×44 +84.2%
5 Memorial University of NewfoundlandCanada 54.723.5%12.0×11 +92.1%
6 Harbin Engineering UniversityChina 53.619.0%8.9×21 +147.9%
7 Delft University of TechnologyNetherlands 53.323.5%8.4×26 +18.0%
8 Dalian University of TechnologyChina 51.928.1%8.1×35 -18.1%
9 Shanghai Ocean UniversityChina 51.325.6%21.3×22 -31.6%
10 Norwegian University of Science and TechnologyNorway 49.217.7%6.8×17 +140.7%

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 Ocean Waves and Remote Sensing research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Ocean Waves and Remote Sensing.

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.