Attila Nemes

Civil and Structural Engineering · 2001–2013

A researcher in the Science corpus: 8 papers; trusts 23 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 43 citations into it; #738 of 6,160 by trust here, #1,706 by citations
• Environmental Engineering — 33 citations into it; #665 of 5,479 by trust here, #1,393 by citations
• Soil Science — 16 citations into it
• Water Science and Technology — 6 citations into it; #581 of 1,711 by trust here, #1,033 by citations
• Artificial Intelligence — 5 citations into it

Whom Attila Nemes trusts overall

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

1. M. G. Schaap
2. Budiman Minasny
3. F. Leij
4. Simon S. Haykin
5. Roger W. Johnson
6. Ashish Sharma
7. J. Wösten
8. Wim Cornelis
9. Yogendra P. Chaubey
10. Alex B. McBratney

Who trusts Attila Nemes overall

1. Steffen Zacharias
2. Harry Vereecken
3. Amir Haghverdi
4. M. G. Schaap
5. Behzad Ghanbarian
6. Allen G. Hunt
7. Gerd Wessolek
8. Marc Lebeau
9. Y. Botula
10. Navin Twarakavi

Papers from Attila Nemes's perspective

Ordered by how strongly the researchers Attila Nemes 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. Neural Networks: A Comprehensive Foundation
3. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
4. Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve
5. Functional evaluation of pedotransfer functions derived from different scales of data collection
6. Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties
7. Description of the unsaturated soil hydraulic database UNSODA version 2.0
8. Comparison of Unimodal Analytical Expressions for the Soil-Water Retention Curve
9. Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review
10. Neural Networks: A Comprehensive Foundation

Their papers

• Prediction of Water Retention of Soils from the Humid Tropics by the Nonparametric k‐Nearest Neighbor Approach (2013) — 72 citations
• Probabilistic Approach to the Identification of Input Variables to Estimate Hydraulic Conductivity (2008) — 79 citations
• Evaluation of different representations of the particle-size distribution to predict soil water retention (2006) — 53 citations
• Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006) — 138 citations
• Influence of Organic Matter on the Estimation of Saturated Hydraulic Conductivity (2005) — 166 citations
• SOIL TEXTURE AND PARTICLE-SIZE DISTRIBUTION AS INPUT TO ESTIMATE SOIL HYDRAULIC PROPERTIES (2004) — 48 citations
• Functional evaluation of pedotransfer functions derived from different scales of data collection (2003) — 181 citations
• Description of the unsaturated soil hydraulic database UNSODA version 2.0 (2001) — 387 citations