Dr. Mohsen Hosseinalizadeh is an Associate Professor in Watershed Management Engineering at Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran. He holds a Ph.D. from the University of Tehran, where his research focused on optimizing sampling patterns for spatial simulation of erosion. His expertise includes soil erosion, spatial statistics, UAV applications in geo-hazards, and the evolution of loess landscapes. Dr. Hosseinalizadeh has authored numerous publications in high-impact journals and has supervised multiple MSc and Ph.D. students. He has received a scholarship for a sabbatical at the University of Münster, Germany, and actively contributes to environmental research and education.

Profile:

• Google Scholar 

🎓 Education:

• Ph.D. in Watershed Management Engineering, University of Tehran, Iran (2012)

• M.Sc. in Watershed Management Engineering, Gorgan University of Agricultural Sciences and Natural Resources (2005)

• B.Sc. in Rangeland and Watershed Management, Yazd University (2002)

🔬 Research Interests:

• Soil erosion modeling & spatial statistics

• UAV applications in geo-hazards

• Loess landscape evolution

📚 Publications & Academic Contributions:

• Authored 22+ research papers in leading journals such as Quaternary International, Geoderma, Catena, and Science of the Total Environment

• Specializes in spatial geostatistical analysis, gully headcut susceptibility modeling, and digital soil mapping

• Supervised 10 MSc and 4 Ph.D. students

🏆 Awards & Recognitions:

• Sabbatical Scholarship (University of Münster, Germany) awarded by the Ministry of Science and Technology of Iran (2010-2011)

🎓 Teaching & Academic Roles:

• Associate Professor at Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), Iran

• Courses taught: Geostatistics, Soil Erosion Modeling, Soil Bioengineering, and Climate Studies

Citations:

• Total Citations: 706

• Citations (Since 2020): 628

• h-index: 13

• h-index (Since 2020): 13

• i10-index: 14

• i10-index (Since 2020): 13

Publication Top Notes:

• Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models – Geoderma, 2019.

• Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree) – Geomorphology, 2019.

• How can statistical and artificial intelligence approaches predict piping erosion susceptibility? – Science of the Total Environment, 2019.

• Evaluation of factors affecting gully headcut location using summary statistics and the maximum entropy model: Golestan Province, NE Iran – Science of the Total Environment, 2019.

• GIS-based susceptibility assessment of the occurrence of gully headcuts and pipe collapses in a semi-arid environment: Golestan Province, NE Iran – Land Degradation & Development, 2019.

• Spatial point pattern analysis of piping erosion in loess-derived soils in Golestan Province, Iran – Geoderma, 2018.

• Change detection in piping, gully head forms, and mechanisms – Catena, 2021.

• An application of different summary statistics for modelling piping collapses and gully headcuts to evaluate their geomorphological interactions in Golestan Province, Iran – Catena, 2018.

• Gully head modelling in Iranian Loess Plateau under different scenarios – Catena, 2020.

• Effect of soil sample size on saturated soil hydraulic conductivity – Communications in Soil Science and Plant Analysis, 2017.

• Optimizing collapsed pipes mapping: Effects of DEM spatial resolution – Catena, 2020.

• A review on the gully erosion and land degradation in Iran – Gully Erosion Studies from India and Surrounding Regions, 2020.

• Combined effects of polyacrylamide and nanomagnetite amendment on soil and water quality, Khorasan Razavi, Iran – Journal of Environmental Management, 2018.

• Comparison of soil erosion by ¹³⁷Cs and RUSLE-3D for loess deposits northeast of Iran (Study Area: Aghemam Catchment) – Journal of Water and Soil Conservation, 2014.

• Analytical techniques for mapping multi-hazard with geo-environmental modeling approaches and UAV images – Scientific Reports, 2022.

• Assessment of spatial variability of soil erodibility using geostatistics and GIS (Case study: Mehr watershed of Sabzevar) – Iranian Journal of Natural Resources, 2007.

• Digital soil mapping and modeling in loess-derived soils of the Iranian Loess Plateau – Geocarto International, 2022.

• Efficiency assessment of the EGEM to estimate gully erosion in Iky-Aghzly watershed of Golestan province – Journal of Water and Soil Conservation, 2017.

• Multivariate geostatistical analysis of fallout radionuclides activity measured by in-situ gamma-ray spectrometry: Case study: Loessial paired sub-catchments in northeast Iran – Quaternary International, 2017.

• Evaluation of various deep learning algorithms for landslide and sinkhole detection from UAV imagery in a semi-arid environment – Earth Systems and Environment, 2024.