D-Index & Metrics Best Publications
Earth Science
UK
2022

D-Index & Metrics 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.

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 98 Citations 51,672 275 World Ranking 59 National Ranking 6

Research.com Recognitions

Awards & Achievements

2022 - Research.com Earth Science in United Kingdom Leader Award

2017 - Member of the National Academy of Engineering For contributions to the understanding of hydrological processes and development of the foundations of modern hydrological modeling.

2017 - Fellow of the Royal Society, United Kingdom

1995 - Fellow of American Geophysical Union (AGU)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Hydrology
  • Ecology

His primary scientific interests are in Hydrology, GLUE, Surface runoff, Equifinality and Hydrograph. In his study, which falls under the umbrella issue of Hydrology, Topographic Wetness Index and Spatial variability is strongly linked to Structural basin. His GLUE research is multidisciplinary, incorporating elements of Uncertainty analysis, Statistics, Range, Sample and Algorithm.

His research in Surface runoff intersects with topics in Storm, Soil science, Water table and Infiltration. His biological study spans a wide range of topics, including Statistical hypothesis testing, Management science, Calibration, Econometrics and Operations research. His research investigates the connection between Hydrograph and topics such as Flow that intersect with problems in Calibration.

His most cited work include:

  • 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 (3985 citations)
  • A physically based, variable contributing area model of basin hydrology (3605 citations)
  • The future of distributed models: model calibration and uncertainty prediction. (3210 citations)

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

Keith Beven mainly investigates Hydrology, Flood myth, GLUE, Surface runoff and Drainage basin. Keith Beven interconnects Soil science and Soil water in the investigation of issues within Hydrology. His research investigates the connection with GLUE and areas like Econometrics which intersect with concerns in Uncertainty analysis.

Many of his studies involve connections with topics such as Infiltration and Surface runoff. Drainage basin is often connected to Structural basin in his work. His Flood forecasting research includes elements of Probabilistic logic and Operations research.

He most often published in these fields:

  • Hydrology (48.31%)
  • Flood myth (19.09%)
  • GLUE (18.80%)

What were the highlights of his more recent work (between 2013-2021)?

  • Hydrology (48.31%)
  • Flood myth (19.09%)
  • Hydrology (11.31%)

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

His primary areas of investigation include Hydrology, Flood myth, Hydrology, Operations research and Drainage basin. His studies deal with areas such as Scale and Flow as well as Hydrology. His Flood myth research is multidisciplinary, relying on both Floodplain, Meteorology, Communication channel and Flooding.

His research in Hydrology focuses on subjects like Streamflow, which are connected to Climatology. His studies in Operations research integrate themes in fields like Calibration and validation, Uncertainty analysis, Flood forecasting and GLUE. His Drainage basin study combines topics from a wide range of disciplines, such as Piezometer and Water table.

Between 2013 and 2021, his most popular works were:

  • Sensitivity analysis of environmental models (457 citations)
  • Debates—The future of hydrological sciences: A (common) path forward? A call to action aimed at understanding velocities, celerities and residence time distributions of the headwater hydrograph (242 citations)
  • GLUE: 20 years on (154 citations)

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

  • Statistics
  • Ecology
  • Hydrology

His scientific interests lie mostly in Hydrology, Management science, Flood myth, GLUE and Hydrology. His Hydrology study deals with Flow intersecting with Water content. His Management science research is multidisciplinary, incorporating perspectives in Variation and Socio-hydrology.

His biological study spans a wide range of topics, including Uncertainty analysis, Floodplain, Environmental planning and Scale. His work carried out in the field of GLUE brings together such families of science as Operations research, Algorithm, Differential evolution and Equifinality. The study incorporates disciplines such as Drainage basin, Representation and Groundwater in addition to Hydrology.

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 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

K. J. Beven;M. J. Kirkby.
Hydrological Sciences Journal-journal Des Sciences Hydrologiques (1979)

8119 Citations

A physically based, variable contributing area model of basin hydrology

MJ Kirkby;KJ Beven.
Hydrological Sciences Bulletin (1979)

6235 Citations

The future of distributed models: model calibration and uncertainty prediction.

Keith J. Beven;Andrew M. Binley.
Hydrological Processes (1992)

4902 Citations

Rainfall-Runoff Modelling: The Primer

Keith J. Beven.
(2012)

3678 Citations

Macropores and water flow in soils

Keith Beven;Peter Germann.
Water Resources Research (1982)

3545 Citations

Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

Keith Beven;Jim Freer.
Journal of Hydrology (2001)

2243 Citations

Changing ideas in hydrology — The case of physically-based models

Keith Beven.
Journal of Hydrology (1989)

2214 Citations

A manifesto for the equifinality thesis

Keith Beven.
Journal of Hydrology (2006)

2154 Citations

THE PREDICTION OF HILLSLOPE FLOW PATHS FOR DISTRIBUTED HYDROLOGICAL MODELLING USING DIGITAL TERRAIN MODELS

P. Quinn;K. Beven;P. Chevallier;O. Planchon.
Hydrological Processes (1991)

1917 Citations

Prophecy, reality and uncertainty in distributed hydrological modelling

Keith J. Beven.
Advances in Water Resources (1993)

1481 Citations

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