Amir Haghverdi

Civil and Structural Engineering · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Civil and Structural Engineering — 22 citations into it; #4,336 of 6,160 by trust here, #5,195 by citations
• Environmental Engineering — 22 citations into it
• Soil Science — 6 citations into it
• Management, Monitoring, Policy and Law — 5 citations into it; #2,020 of 2,821 by trust here, #2,513 by citations

Whom Amir Haghverdi trusts overall

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

1. Budiman Minasny
2. Yakov A. Pachepsky
3. Leo Breiman
4. Harry Vereecken
5. Attila Nemes
6. Navin Twarakavi
7. J. Wösten
8. Wim Cornelis
9. M. G. Schaap
10. Alex B. McBratney

Who trusts Amir Haghverdi overall

1. Y. Botula
2. Muhammed Khlosi
3. Wim Cornelis
4. H. Öztürk
5. Attila Nemes
6. Monther Alhamdoosh

Papers from Amir Haghverdi's perspective

Ordered by how strongly the researchers Amir Haghverdi 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. Evaluation of Pedotransfer Functions for Predicting the Soil Moisture Retention Curve
3. Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties
4. Functional evaluation of pedotransfer functions derived from different scales of data collection
5. Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines
6. Using Support Vector Machines to Develop Pedotransfer Functions for Water Retention of Soils in Poland
7. Bagging Predictors
8. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions
9. The Nature of Statistical Learning Theory
10. The neuro-m method for fitting neural network parametric pedotransfer functions

Their papers

• Measurement and estimation of the soil water retention curve using the evaporation method and the pseudo continuous pedotransfer function (2018) — 46 citations
• Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method (2014) — 53 citations
• A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data (2012) — 78 citations