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Topic · Ecology

Hydrology and Sediment Transport Processes

Hydrology and Sediment Transport Processes is a research topic within Ecology. Science Explorer counts 37k research works in it since 1950. 23.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the ecological dynamics and human impacts on riverine landscapes, focusing on topics such as river restoration, riparian vegetation, fluvial processes, sediment transport, channel morphology, hydrological impacts, vegetation dynamics, geomorphological effects, and floodplain connectivity.

  • River Restoration
  • Riparian Vegetation
  • Fluvial Processes
  • Sediment Transport
  • Channel Morphology
  • Hydrological Impacts
  • Vegetation Dynamics
  • Geomorphological Effects
  • Floodplain Connectivity
  • Human Influence
Research works
37k
fractional, since 1950
In the world top 10%
8.5k
per year above
Top-10% rate
23.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+23%
the tick is no change

Which countries lead Hydrology and Sediment Transport Processes research?

By volume, China and the United States publish the most (1.4k and 985 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.4k works
  2. 2 United States 985 works
  3. 3 India 498 works
  4. 4 Iran 220 works
  5. 5 Italy 209 works
  6. 6 United Kingdom 209 works
  7. 7 France 203 works
  8. 8 Canada 196 works
  9. 9 Japan 153 works
  10. 10 Australia 150 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: 33.3%United States: 23.3%India: 11.8%Iran: 5.2%6 others listed: 26.5%33%largest
China1,407 · 33.3%United States985 · 23.3%India498 · 11.8%Iran220 · 5.2%6 others listed1,120 · 26.5%

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

Which institutions lead Hydrology and Sediment Transport Processes research?

By volume in 2022–2025, Hohai University publishes the most Hydrology and Sediment Transport Processes research, followed by Chinese Academy of Sciences and United States Geological Survey.

Who are the leading researchers in Hydrology and Sediment Transport Processes?

The most-cited researchers publishing on Hydrology and Sediment Transport Processes include Guangming Zeng, Jozef Deckers and Jean Poesen.

  1. 1 Guangming Zeng China 5.6k citations
  2. 2 Jozef Deckers Belgium 2.8k citations
  3. 3 Jean Poesen Belgium 2.4k citations
  4. 4 M. J. Kirkby United Kingdom 2.4k citations

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

Where is Hydrology and Sediment Transport Processes research done?

The largest centres of Hydrology and Sediment Transport Processes research in 2022–2025 are Beijing (China), Nanjing (China), Wuhan (China) and Chengdu (China). Among places with at least 20 works in it, it is an unusually large share of all research in Yangling, Reston and Chengdu.

Largest cities, 2022–2025

  1. 1 Beijing China 342 works
  2. 2 Nanjing China 135 works
  3. 3 Wuhan China 109 works
  4. 4 Chengdu China 84 works
  5. 5 Tehran Iran 71 works
  6. 6 Xi'an China 57 works
  7. 7 Paris France 57 works
  8. 8 Washington D.C. United States 55 works
  9. 9 Zhengzhou China 55 works
  10. 10 Reston United States 50 works

Where it is the local speciality

  1. YanglingCN · 22.1 works88×
  2. RestonUS · 50.2 works37×
  3. Chengdu26.7 works25×
← less than its size predictsmore →

Location quotient: how much more of its research is in Hydrology and Sediment Transport Processes than the world average.

See Hydrology and Sediment Transport Processes on the map

Where is the best place to study Hydrology and Sediment Transport Processes?

Among universities, judged by research, University of Northern British Columbia, Colorado State University and Northwest A&F 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%60%mean 29.4%fractional works in this node (log) →share in the world top 10% →University of Northern British Columbia: 9, 53.5%Colorado State University: 22, 41.4%Northwest A&F University: 21, 29.2%Hohai University: 58, 22.1%BOKU University: 18, 23.6%Indian Institute of Technology Guwahati: 22, 18.5%National Institute of Technology Rourkela: 10, 41.1%Indian Institute of Technology Roorkee: 27, 19.4%Wuhan University: 49, 24.2%Xi'an University of Technology: 27, 21.0%University of Northe…Colorado State Unive…Northwest A&F Univer…Hohai University
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 Northern British ColumbiaCanada 65.553.5%39.7×9 +17.9%
2 Colorado State UniversityUnited States 64.341.4%10.4×22 +2.4%
3 Northwest A&F UniversityChina 62.629.2%9.4×21 +123.2%
4 Hohai UniversityChina 62.522.1%18.1×58 -5.3%
5 BOKU UniversityAustria 62.123.6%31.1×18 +46.1%
6 Indian Institute of Technology GuwahatiIndia 61.718.5%11.3×22 +213.5%
7 National Institute of Technology RourkelaIndia 57.841.1%7.1×10 +368.9%
8 Indian Institute of Technology RoorkeeIndia 56.719.4%10.2×27 +72.4%
9 Wuhan UniversityChina 56.224.2%7.0×49 +39.3%
10 Xi'an University of TechnologyChina 55.921.0%14.0×27 +57.6%

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 Hydrology and Sediment Transport Processes research growing?

Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Hydrology and Sediment Transport Processes.

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.