D-Index & Metrics Best Publications

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 42 Citations 10,300 125 World Ranking 3061 National Ranking 1326

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Soil water
  • Thermodynamics

His primary scientific interests are in Soil water, Hydraulic conductivity, Pedotransfer function, Soil science and Water content. His research on Soil water frequently links to adjacent areas such as Artificial neural network. The various areas that Marcel G. Schaap examines in his Hydraulic conductivity study include Database, Geotechnical engineering, Soil texture, Soil properties and Vadose zone.

His studies in Vadose zone integrate themes in fields like Hydraulics and Mean squared error. His Pedotransfer function research is multidisciplinary, relying on both Agricultural engineering, Ecosystem services, Spatial variability and Scale. In the field of Soil science, his study on Water retention overlaps with subjects such as Earth system science.

His most cited work include:

  • rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions (1619 citations)
  • Neural network analysis for hierarchical prediction of soil hydraulic properties (510 citations)
  • Database-related accuracy and uncertainty of pedotransfer functions (385 citations)

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

The scientist’s investigation covers issues in Soil science, Soil water, Pedotransfer function, Water content and Hydrology. His study in Hydraulic conductivity, Vadose zone, Water retention and Soil texture is done as part of Soil science. His Hydraulic conductivity study incorporates themes from Hydraulics and Porosity, Geotechnical engineering.

The concepts of his Soil water study are interwoven with issues in Ensemble forecasting and Dielectric, Permittivity. His Pedotransfer function research incorporates elements of Mean squared error, Soil map, Artificial neural network and Spatial variability. His Water content research is multidisciplinary, incorporating elements of Pressure head, Soil test, Bulk density and Drainage.

He most often published in these fields:

  • Soil science (35.34%)
  • Soil water (31.58%)
  • Pedotransfer function (27.82%)

What were the highlights of his more recent work (between 2016-2020)?

  • Soil science (35.34%)
  • Pedotransfer function (27.82%)
  • Soil water (31.58%)

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

His scientific interests lie mostly in Soil science, Pedotransfer function, Soil water, Hydrology and Water retention. His biological study spans a wide range of topics, including Calibration and Inversion. His Pedotransfer function research incorporates themes from Mean squared error, Hydraulic conductivity, Vadose zone and Spatial variability.

His research in Hydraulic conductivity intersects with topics in Pearson product-moment correlation coefficient, Available water capacity, Field capacity and Statistical model. Marcel G. Schaap has researched Spatial variability in several fields, including Hydrology and Key. Marcel G. Schaap combines subjects such as Ensemble forecasting and Probabilistic logic with his study of Soil water.

Between 2016 and 2020, his most popular works were:

  • Pedotransfer functions in Earth system science: challenges and perspectives (130 citations)
  • Weighted recalibration of the Rosetta pedotransfer model with improved estimates of hydraulic parameter distributions and summary statistics (Rosetta3) (61 citations)
  • Estimation of Saturated Hydraulic Conductivity with Pedotransfer Functions: A Review (31 citations)

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

  • Statistics
  • Thermodynamics
  • Optics

Marcel G. Schaap mainly focuses on Pedotransfer function, Soil science, Soil water, Hydraulic conductivity and Water retention. His Pedotransfer function study integrates concerns from other disciplines, such as Mean squared error, Field capacity, Water content, Vadose zone and Hydraulic head. The study incorporates disciplines such as Pressure head and Resolution in addition to Water content.

His research on Soil science often connects related topics like Ecosystem services. His study in Soil water is interdisciplinary in nature, drawing from both Agricultural engineering, Spatial variability, Process and Scale. He integrates many fields in his works, including Hydraulic conductivity and Scale.

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

rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions

Marcel G. Schaap;Feike J. Leij;Martinus Th. van Genuchten.
Journal of Hydrology (2001)

2590 Citations

Neural network analysis for hierarchical prediction of soil hydraulic properties

Marcel G. Schaap;Feike J. Leij;Martinus Th. van Genuchten.
Soil Science Society of America Journal (1998)

831 Citations

Database-related accuracy and uncertainty of pedotransfer functions

Marcel G. Schaap;Feike J. Leij.
Soil Science (1998)

574 Citations

Improved Prediction of Unsaturated Hydraulic Conductivity with the Mualem-van Genuchten Model

Marcel G. Schaap;Feike J. Leij.
Soil Science Society of America Journal (2000)

509 Citations

Using pedotransfer functions to estimate the van Genuchten-Mualem Soil Hydraulic Properties: a review.

Harry Vereecken;Mélanie Weynants;Mathieu Javaux;Mathieu Javaux;Y. Pachepsky.
Vadose Zone Journal (2010)

402 Citations

Description of the unsaturated soil hydraulic database UNSODA version 2.0

A Nemes;M.G Schaap;F.J Leij;J.H.M Wösten.
Journal of Hydrology (2001)

379 Citations

Modeling water retention curves of sandy soils using neural networks

Marcel G. Schaap;Marcel G. Schaap;Willem Bouten.
Water Resources Research (1996)

377 Citations

Proposed approximation for contact angles in Shan-and-Chen-type multicomponent multiphase lattice Boltzmann models.

Haibo Huang;Daniel T. Thorne;Marcel G. Schaap;Michael C. Sukop.
Physical Review E (2007)

344 Citations

Using neural networks to predict soil water retention and soil hydraulic conductivity

Marcel G Schaap;Feike J Leij.
Soil & Tillage Research (1998)

329 Citations

Pedotransfer functions in Earth system science: challenges and perspectives

Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel.
Reviews of Geophysics (2017)

251 Citations

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