Leaderboards/Flood Risk Assessment and Management

Flood Risk Assessment and Management

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Khwairakpam Robindro Singh
Unknown
2
Anil Pangeni
Unknown
3
Yuchen Zhang
Northeast Agricultural University
4
Yazeed Alabbad
King Saud University
5
Zhouyayan Li
University of Iowa
6
Luke Grant
Environment and Climate Change Canada
7
James Donnelly
University of Warwick
8
Kumar Puran Tripathy
Texas A&M University
9
Diop Cheikh
Unknown
10
Naga Surekha Jonnala
National Institute of Technology Andhra Pradesh

Papers

1
Comparative Analysis of Flood Estimation using Log-Pearson Type III and Gumbel Max Models in the Cauvery River, India
International Journal of Innovative Science and Research Technology (IJISRT)|2024
733 cit.
2
Global emergence of unprecedented lifetime exposure to climate extremes
Nature|2025
106 cit.
3
A web-based decision support framework for optimizing road network accessibility and emergency facility allocation during flooding
Urban Informatics|2024
28 cit.
4
MultiRS flood mapper: a google earth engine application for water extent mapping with multimodal remote sensing and quantile-based postprocessing
Environmental Modelling & Software|2024
16 cit.
5
Lagged Soil Moisture Controls on the Persistence of Drought and Heatwaves in the United States
Geophysical Research Letters|2025
9 cit.
6
Geo-spatial analysis of built-environment exposure to flooding: Iowa case study
Discover Water|2024
7 cit.
7
Understanding flood risk in public transit systems: Insights from accessibility and vulnerability analysis in Iowa
International Journal of Disaster Risk Reduction|2025
5 cit.
8
Flood sequence mapping with multimodal remote sensing under the influence of dense vegetation
International Journal of Remote Sensing|2024
4 cit.
9
Publication in Environmental Modelling & Software (2024) [W4405097577]
Environmental Modelling & Software|2024
0 cit.
10
Publication in Applied Sciences (2025) [W4413377307]
Applied Sciences|2025
0 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Quoc Bao Pham
University of Silesia in Katowice
2
Daniel Klotz
BOKU University
3
Claire Brenner
BOKU University
4
Omid Ghorbanzadeh
BOKU University
5
Swades Pal
University of Gour Banga
6
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
King Fahd University of Petroleum and Minerals
7
D. A. Slayback
National Aeronautics and Space Administration
8
Jiayi Fang
Hangzhou Normal University
9
Hiep Van Le
University Of Transport Technology
10
Abderrahmane Boumezbeur
Université Larbi Tébessi

Papers

1
Uncertainty estimation with deep learning for rainfall–runoff modeling
Hydrology and earth system sciences|2022
220 cit.
2
Landslide detection using deep learning and object-based image analysis
Landslides|2022
199 cit.
3
Groundwater level prediction using machine learning algorithms in a drought-prone area
Neural Computing and Applications|2022
199 cit.
4
NeuralHydrology — A Python library for Deep Learningresearch in hydrology
The Journal of Open Source Software|2022
183 cit.
5
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
IEEE Transactions on Geoscience and Remote Sensing|2022
169 cit.
6
The extraordinary Zhengzhou flood of 7/20, 2021: How extreme weather and human response compounding to the disaster
Cities|2022
154 cit.
7
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Engineering Applications of Artificial Intelligence|2023
135 cit.
8
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|2022
114 cit.
9
A pH-Sensitive Surface of Chitosan/Sepiolite Clay/Algae Biocomposite for the Removal of Malachite Green and Remazol Brilliant Blue R Dyes: Optimization and Adsorption Mechanism Study
Journal of Polymers and the Environment|2022
108 cit.
10
Deep learning versus gradient boosting machine for pan evaporation prediction
Engineering Applications of Computational Fluid Mechanics|2022
102 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Biswajeet Pradhan
University of Technology Sydney
2
Günter Blöschl
TU Wien
3
Paul Bates
At Bristol
4
Saro Lee
Korea Institute of Geoscience and Mineral Resources
5
Dieu Tien Bui
University of South-Eastern Norway
6
Philip J. Ward
Vrije Universiteit Amsterdam
7
Hamid Reza Pourghasemi
Shiraz University
8
Jeroen C. J. H. Aerts
Vrije Universiteit Amsterdam
9
Binh Thai Pham
University Of Transport Technology
10
Dennis P. Lettenmaier
University of California, Los Angeles

Papers

1
Potential impacts of a warming climate on water availability in snow-dominated regions
Nature|2005
4.9k cit.
2
Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs
Climatic Change|2004
1.9k cit.
3
A high‐accuracy map of global terrain elevations
Geophysical Research Letters|2017
1.6k cit.
4
DECLINING MOUNTAIN SNOWPACK IN WESTERN NORTH AMERICA*
Bulletin of the American Meteorological Society|2005
1.5k cit.
5
A simple raster-based model for flood inundation simulation
Journal of Hydrology|2000
1.5k cit.
6
A distributed hydrology‐vegetation model for complex terrain
Water Resources Research|1994
1.4k cit.
7
A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling
Journal of Hydrology|2010
1.3k cit.
8
Changing climate both increases and decreases European river floods
Nature|2019
1.3k cit.
9
Lost food, wasted resources: Global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use
The Science of The Total Environment|2012
1.3k cit.
10
Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
Landslides|2015
1.3k cit.

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