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Topic · Global and Planetary Change

Flood Risk Assessment and Management

Flood Risk Assessment and Management is a research topic within Global and Planetary Change. Science Explorer counts 52k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the assessment, mapping, and management of global flood risk, incorporating aspects such as remote sensing, climate change impacts, surface water mapping, flood inundation modeling, urban flooding, risk perception, hydrological modeling, satellite imagery, and disaster management.

  • Flood Risk
  • Remote Sensing
  • Climate Change
  • Surface Water Mapping
  • Flood Inundation Modeling
  • Urban Flooding
  • Risk Perception
  • Hydrological Modeling
  • Satellite Imagery
  • Disaster Management
Research works
52k
fractional, since 1950
In the world top 10%
5.2k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+28%
the tick is no change
Largest producer
China
32% of the 10 largest, 2022-now
Flood Risk Assessment and Management

Which countries lead Flood Risk Assessment and Management research?

By volume, China and the United States publish the most (3.8k and 2.2k works in 2022-now).

By volume, 2022-now

  1. 1 China 3.8k works
  2. 2 United States 2.2k works
  3. 3 India 2.2k works
  4. 4 Indonesia 653 works
  5. 5 United Kingdom 618 works
  6. 6 Italy 533 works
  7. 7 Germany 453 works
  8. 8 Japan 446 works
  9. 9 Australia 422 works
  10. 10 Türkiye 396 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: 32.2%United States: 19.1%India: 18.6%Indonesia: 5.6%6 others listed: 24.5%32%largest
China3,764 · 32.2%United States2,237 · 19.1%India2,177 · 18.6%Indonesia653 · 5.6%6 others listed2,868 · 24.5%

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

Which institutions lead Flood Risk Assessment and Management research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Flood Risk Assessment and Management research, followed by Hohai University and Centre National de la Recherche Scientifique.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 311 works
  2. 2 Hohai UniversityChina 159 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 114 works
  4. 4 Ministry of Water Resources of the People's Republic of ChinaChina 108 works
  5. 5 Wuhan UniversityChina 103 works
  6. 6 Beijing Normal UniversityChina 87 works
  7. 7 Indian Institute of Technology RoorkeeIndia 83 works
  8. 8 Helmholtz Association of German Research CentresGermany 81 works
  9. 9 China Institute of Water Resources and Hydropower ResearchChina 80 works
  10. 10 University of Chinese Academy of SciencesChina 69 works

Who are the leading researchers in Flood Risk Assessment and Management?

The most-cited researchers publishing on Flood Risk Assessment and Management include Yoshua Bengio, Jun Wang and Xiaogang Wang.

  1. 1 Yoshua Bengio Canada 476k citations
  2. 2 Jun Wang China 340k citations
  3. 3 Xiaogang Wang China 260k citations
  4. 4 Philippe Ciais France 237k citations
  5. 5 Kai You Wang China 224k citations
  6. 6 Guangming Zeng China 204k citations
  7. 7 Paul M. Thompson United States 196k citations
  8. 8 Carl Folke Sweden 182k 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 Flood Risk Assessment and Management?

The most cited paper in Flood Risk Assessment and Management is "The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features" (Stuart K. McFeeters, 1996), with 7,778 citations. Next come "Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling" (7,007) and "A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant" (6,834).

Most cited papers
#PaperReleasedCitations
1 The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features Stuart K. McFeeters · International Journal of Remote Sensing May 1996 7,778
2 Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling Hoshin V. Gupta, Harald Kling, Koray K. Yılmaz et al. · Journal of Hydrology Open access 9 Aug 2009 7,007
3 A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant Keith John Beven, Mike J. Kirkby · Hydrological Sciences Bulletin Open access Mar 1979 6,834
4 Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi, Zhourong Chen, Hao Wang et al. · arXiv (Cornell University) PreprintOpen access 13 Jun 2015 6,650
5 Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery Hanqiu Xu · International Journal of Remote Sensing Open access 7 Jul 2006 6,019
All 100 most cited papers, with filters and sorting

Where is Flood Risk Assessment and Management research done?

The largest centres of Flood Risk Assessment and Management research in 2022-now are Beijing (China), Nanjing (China), Wuhan (China) and New Delhi (India). Among places with at least 20 works in it, it is an unusually large share of all research in Arba Minch.

Largest cities, 2022-now

  1. 1 BeijingChina 982 works
  2. 2 NanjingChina 361 works
  3. 3 WuhanChina 308 works
  4. 4 New DelhiIndia 177 works
  5. 5 TehranIran 174 works
  6. 6 DhakaBangladesh 160 works
  7. 7 GuangzhouChina 156 works
  8. 8 ZhengzhouChina 154 works
  9. 9 ChengduChina 149 works
  10. 10 TokyoJapan 144 works

Where it is the local speciality

  1. Arba MinchET · 32.3 works26×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Flood Risk Assessment and Management than the world average.

See Flood Risk Assessment and Management on the map

Where is the best place to study Flood Risk Assessment and Management?

Among universities, judged by research, China University of Geosciences, Beijing Normal University and Hohai University score highest, combining citation 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 18.59%fractional works in this field (log) →share of work in the world top 10% →Hong Kong Polytechni…China University of …Beijing Normal Unive…Hohai University
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.

Citation 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
1China University of GeosciencesChina 67.822.4%7.5×54 +97.8%
2Beijing Normal UniversityChina 65.617.9%6.9×87 +18.8%
3Hohai UniversityChina 65.513.0%17.0×159 +30.6%
4Hong Kong Polytechnic UniversityChina 64.324.6%1.9×27 +138.8%
5Wuhan UniversityChina 64.017.9%4.5×103 +45.4%
6University of TwenteNetherlands 63.219.3%7.6×36 +32.5%
7University of Chinese Academy of SciencesChina 61.918.9%2.7×70 +52.5%
8Indian Institute of Technology GandhinagarIndia 61.422.4%11.6×18 +25.0%
9Indian Institute of Technology RoorkeeIndia 60.813.4%11.6×82 +108.5%
10Texas A&M UniversityUnited States 60.016.1%4.0×53 +11.8%

Universities only. The score blends citation 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 Flood Risk Assessment and Management, country by country

Is Flood Risk Assessment and Management research growing?

Output in 2022-2025 was 28% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Flood Risk Assessment and Management.

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 Flood Risk Assessment and Management as a percentage of every work published that year, 0.075% in 2024.

still counting0.050%0.10%Flood Risk Assessment and Management0.073% in 202519801990200020102020

Fractional works of Flood Risk Assessment and Management 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%Flood Risk Assessment and Management10.0% 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.

Questions people ask

Who leads flood risk research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Flood Risk Assessment and Management research, followed by Hohai University and Centre National de la Recherche Scientifique. By volume, China and the United States publish the most (3.8k and 2.2k works in 2022-now).

All 1,273 questions in the Question Catalogue

Discussion

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