Wim Cornelis

Civil and Structural Engineering · 2001–2016

A researcher in the Science corpus: 12 papers; trusts 28 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 41 citations into it; #1,077 of 6,160 by trust here, #1,616 by citations
• Environmental Engineering — 41 citations into it; #1,326 of 5,479 by trust here, #1,477 by citations
• Soil Science — 21 citations into it; #365 of 2,166 by trust here, #724 by citations
• Management, Monitoring, Policy and Law — 11 citations into it; #2,182 of 2,821 by trust here, #1,948 by citations
• Artificial Intelligence — 7 citations into it
• Water Science and Technology — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Plant Science — 5 citations into it

Whom Wim Cornelis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Hirotugu Akaike
2. Yakov A. Pachepsky
3. Attila Nemes
4. Leo Breiman
5. M. G. Schaap
6. Budiman Minasny
7. Navin Twarakavi
8. Harry Vereecken
9. B. Vos
10. Vladimir Naumovich Vapni

Who trusts Wim Cornelis overall

1. Mansonia Pulido Moncada
2. Attila Nemes
3. Harry Vereecken
4. Amir Haghverdi
5. Muhammed Khlosi
6. Y. Botula
7. Steffen Zacharias
8. Donald Gabriëls
9. Allan Lilly
10. Yones Khaledian

Papers from Wim Cornelis's perspective

Ordered by how strongly the researchers Wim Cornelis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics
2. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
3. Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve
4. Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties
5. Functional evaluation of pedotransfer functions derived from different scales of data collection
6. Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines
7. Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review
8. Using Support Vector Machines to Develop Pedotransfer Functions for Water Retention of Soils in Poland
9. Neural Networks: A Comprehensive Foundation
10. The Nature of Statistical Learning Theory

Their papers

• Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil (2016) — 56 citations
• Comparing Aggregate Stability Tests for Soil Physical Quality Indicators (2015) — 117 citations
• Evaluation of Soil Physical Quality Index S for Some Tropical and Temperate Medium-Textured Soils (2015) — 60 citations
• Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method (2014) — 53 citations
• Data-driven analysis of soil quality indicators using limited data (2014) — 67 citations
• Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric k‐Nearest Neighbor Approach (2013) — 72 citations
• A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data (2012) — 78 citations
• Comparison of Single‐ and Double‐Ring Infiltrometer Methods on Stony Soils (2010) — 61 citations
• Measuring and modelling the soil shrinkage characteristic curve (2006) — 167 citations
• A simplified parametric model to describe the magnitude and geometry of soil shrinkage (2006) — 59 citations
• Comparison of Unimodal Analytical Expressions for the Soil-Water Retention Curve (2005) — 164 citations
• Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve (2001) — 253 citations