D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Earth Science D-index 72 Citations 18,898 195 World Ranking 337 National Ranking 31

Research.com Recognitions

Awards & Achievements

2015 - Fellow of American Geophysical Union (AGU)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Hydrology
  • Artificial intelligence

His primary areas of study are Flood myth, Hydrology, Floodplain, Meteorology and Synthetic aperture radar. His Flood myth research includes themes of Lidar, Remote sensing and Current. His Hydrology study combines topics in areas such as Hydraulics, Basis and Geomorphology.

His studies in Floodplain integrate themes in fields like Soil science, Communication channel, Shuttle Radar Topography Mission, Raster graphics and Altimeter. His Meteorology study incorporates themes from Elevation, Grid, Range, Data set and Geographic information system. His work deals with themes such as Radar imaging and Bathymetry, which intersect with Synthetic aperture radar.

His most cited work include:

  • A simple raster-based model for flood inundation simulation (925 citations)
  • Evaluation of 1D and 2D numerical models for predicting river flood inundation (727 citations)
  • A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling. (492 citations)

What are the main themes of his work throughout his whole career to date?

Paul D. Bates mostly deals with Flood myth, Hydrology, Remote sensing, Floodplain and Meteorology. His Flood myth research is multidisciplinary, relying on both Climatology, Flooding, Terrain, Current and Lidar. His Hydrology research incorporates elements of Hydraulics and Communication channel.

The various areas that Paul D. Bates examines in his Remote sensing study include Radar and Satellite. His work carried out in the field of Floodplain brings together such families of science as Elevation, Water level, Shuttle Radar Topography Mission, Flow and Hydrograph. His Meteorology study typically links adjacent topics like Flood forecasting.

He most often published in these fields:

  • Flood myth (50.47%)
  • Hydrology (32.77%)
  • Remote sensing (21.42%)

What were the highlights of his more recent work (between 2015-2021)?

  • Flood myth (50.47%)
  • Hydrology (32.77%)
  • Remote sensing (21.42%)

In recent papers he was focusing on the following fields of study:

His main research concerns Flood myth, Hydrology, Remote sensing, Floodplain and Hydrology. His Flood myth research incorporates themes from Flooding, Meteorology, Natural hazard, Climate change and Current. His Natural hazard research includes elements of Operations research, Probabilistic logic and Environmental planning.

As a part of the same scientific family, he mostly works in the field of Hydrology, focusing on Hydraulics and, on occasion, Structural basin. His Remote sensing research is multidisciplinary, incorporating elements of Elevation, Satellite and Communication channel. Paul D. Bates works mostly in the field of Hydrology, limiting it down to topics relating to Climatology and, in certain cases, Land ice and Earth system science.

Between 2015 and 2021, his most popular works were:

  • A high-accuracy map of global terrain elevations (252 citations)
  • A global framework for future costs and benefits of river-flood protection in urban areas (114 citations)
  • Estimates of present and future flood risk in the conterminous United States (98 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Hydrology
  • Artificial intelligence

Flood myth, Remote sensing, Floodplain, Hydrology and Digital elevation model are his primary areas of study. Paul D. Bates combines subjects such as Flooding, Elevation, Meteorology, Water resources and Current with his study of Flood myth. His study in the field of Synthetic aperture radar is also linked to topics like Equator.

As a member of one scientific family, he mostly works in the field of Floodplain, focusing on Benchmark and, on occasion, Transformation and Ensemble average. As part of his studies on Hydrology, Paul D. Bates often connects relevant subjects like Event. His research in Digital elevation model intersects with topics in Lidar, Geostatistics and Terrain.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A simple raster-based model for flood inundation simulation

P.D Bates;A.P.J De Roo.
Journal of Hydrology (2000)

1510 Citations

Evaluation of 1D and 2D numerical models for predicting river flood inundation

M.S. Horritt;P.D. Bates.
Journal of Hydrology (2002)

1182 Citations

A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling.

Paul D. Bates;Matthew S. Horritt;Timothy J. Fewtrell.
Journal of Hydrology (2010)

743 Citations

Predicting floodplain inundation: raster-based modelling versus the finite-element approach

M. S. Horritt;P. D. Bates.
Hydrological Processes (2001)

446 Citations

Effects of spatial resolution on a raster based model of flood flow

M.S Horritt;P.D Bates.
Journal of Hydrology (2001)

444 Citations

Simple spatially-distributed models for predicting flood inundation: A review

Neil M. Hunter;Paul D. Bates;Matthew S. Horritt;Matthew D. Wilson.
Geomorphology (2007)

443 Citations

Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE

G. Aronica;P. D. Bates;M. S. Horritt.
Hydrological Processes (2002)

440 Citations

Benchmarking 2D hydraulic models for urban flooding

N.M. Hunter;P.D. Bates;S. Neelz;G. Pender.
Proceedings of the Institution of Civil Engineers - Water Management (2008)

402 Citations

Flood frequency analysis for nonstationary annual peak records in an urban drainage basin

Gabriele Villarini;James A. Smith;Francesco Serinaldi;Jerad Bales.
Advances in Water Resources (2009)

392 Citations

Integration of high-resolution topographic data with floodplain flow models.

Kate Marks;Paul Bates.
Hydrological Processes (2000)

374 Citations

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