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Mohammad Reza Pahlavan-Rad
Observed names:
M. R. Pahlavan-Rad,
Mohammad R. Pahlavan‐Rad,
Pahlavan-Rad Mohammad Reza
Institution:
Agricultural Research & Education Organization
Observed institutions:
Agricultural Research & Education Organization,
Gorgan University of Agricultural Sciences and Natural Resources
OpenAlex ID:
A5003034668
Development and analysis of the Soil Water Infiltration Global database
2018
·
Mehdi Rahmati
, Lutz Weihermüller
, et al.
·
Earth system science data
·
174
PDF
Spatial variability of soil texture fractions and pH in a flood plain (case study from eastern Iran)
2017
·
Mohammad Reza Pahlavan-Rad
, Alireza Akbarimoghaddam
·
CATENA
·
141
Response of Wheat Plants to Zinc, Iron, and Manganese Applications and Uptake and Concentration of Zinc, Iron, and Manganese in Wheat Grains
2009
·
Mohammad R. Pahlavan‐Rad
, Mohammad Pessarakli
·
Communications in Soil Science and Plant Analysis
·
97
Prediction of soil water infiltration using multiple linear regression and random forest in a dry flood plain, eastern Iran
2020
·
Mohammad Reza Pahlavan-Rad
, Khodadad Dahmardeh
, et al.
·
CATENA
·
83
Predicting regional spatial distribution of soil texture in floodplains using remote sensing data: A case of southeastern Iran
2019
·
Mohammad Shahriari
, Masoomeh Delbari
, et al.
·
CATENA
·
69
Legacy soil maps as a covariate in digital soil mapping: A case study from Northern Iran
2016
·
Mohammad Reza Pahlavan-Rad
, Farhad Khormali
, et al.
·
Geoderma
·
54
Predicting soil organic carbon concentrations in a low relief landscape, eastern Iran
2018
·
Mohammad Reza Pahlavan-Rad
, Khodadad Dahmardeh
, et al.
·
Geoderma Regional
·
49
Digital soil mapping of deltaic soils: A case of study from Hirmand (Helmand) river delta
2017
·
Khalilollah Mirakzehi
, Mohammad Reza Pahlavan-Rad
, et al.
·
Geoderma
·
31
Digital soil mapping using machine learning-based methods to predict soil organic carbon in two different districts in the Czech Republic
2024
·
Shahin Nozari
, Mohammad Reza Pahlavan-Rad
, et al.
·
Soil and Water Research
·
21
PDF
Predicting the spatial distribution of organic carbon in soil by combining machine learning algorithms and spline depth function in a part of Golestan Province, Iran
2025
·
Maryam Emami
, Farhad Khormali
, et al.
·
Soil and Tillage Research
·
16
Prediction of Soil Properties Using Random Forest with Sparse Data in a Semi-Active Volcanic Mountain
2020
·
H. Piri Sahragard
, M. R. Pahlavan-Rad
·
Eurasian Soil Science
·
10
Nutrient Uptake, Soil and Plant Nutrient Contents, and Yield Components of Wheat Plants Under Different Planting Systems and Various Irrigation Frequencies
2011
·
M. R. Pahlavan-Rad
, S. A. R. Movahedi-Naeini
, et al.
·
Journal of Plant Nutrition
·
7
Spatial prediction of WRB soil classes in an arid floodplain using multinomial logistic regression and random forest models, south-east of Iran
2020
·
Seyed Javad Forghani
, Mohammad Reza Pahlavan-Rad
, et al.
·
Arabian Journal of Geosciences
·
6
Digital modeling of surface and subsurface soil salinity in Golestan Province, Iran
2024
·
Maryam Emami
, Farhad Khormali
, et al.
·
Geoderma Regional
·
5
Responses of Wheat Plants in Terms of Soil Water Content, Bulk Density, Salinity, and Root Growth Under Different Planting Systems and Various Irrigation Frequencies
2010
·
M. R. Pahlavan-Rad
, S. A. R. Movahedi-Naeini
, et al.
·
Journal of Plant Nutrition
·
3
Effects of Application of Zn, Fe and Mn on Yield, Yield Component, Nutrient Concentration and Uptake in Wheat Grain
2008
·
Mohammad Reza Pahlavan-Rad
, Keykha Gh.A.
, et al.
·
1
リモートセンシングデータを用いた洪水平原における土壌テクスチャの地域空間分布の予測:イラン南東部の事例【jst・京大機械翻訳】
2019
·
Shahriari Mohammad
, Masoomeh Delbari
, et al.
·
CATENA
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Works count:
17
Citation count:
767
H-index:
10
I10-index:
11
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