Academic Background
Dr. Mohsen Hosseinalizadeh is an Associate Professor at the Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), specializing in watershed management with a focus on soil erosion and conservation. His academic journey reflects a deep engagement with applied field research, particularly on the Iranian Loess Plateau. His scholarly impact is demonstrated by his citation metrics, showing 806 total citations, an h-index of 14, and an i10-index of 18 according to Google Scholar, and comparable performance metrics recorded in Scopus. His contributions have significantly advanced the understanding of soil degradation processes and remediation strategies in complex geologic terrains.
Research Focus
Dr. Mohsen Hosseinalizadeh research emphasizes watershed management, soil erosion modeling, and soil conservation. His work integrates advanced spatial statistics, machine learning, and field-based studies to address gully and piping erosion dynamics in semi-arid regions.
Work Experience
Over his academic career, Dr. Mohsen Hosseinalizadeh has contributed extensively to teaching, mentoring, and conducting multidisciplinary research in watershed and soil management. As a field expert, he has led projects on gully formation, soil biocrust variation, and bauxite remediation. His collaboration with researchers from countries such as the USA, Poland, Italy, Spain, and Costa Rica underscores his global academic engagement and scientific influence.
Key Contributions
Dr. Mohsen Hosseinalizadeh has played a key role in advancing knowledge of geomorphological processes, particularly through the application of artificial intelligence models in soil erosion studies. His innovative research has bridged theory and practice, offering new insights into erosion susceptibility and spatial variability of soil systems. His expertise in remote sensing and GIS-based modeling has enhanced the precision and applicability of environmental management frameworks.
Awards & Recognition
Dr. Mohsen Hosseinalizadeh has been honored with distinctions recognizing his outstanding contributions to soil and watershed management, including the Best Researcher Award for his innovative studies and high-impact publications in international journals.
Professional Roles & Memberships
Dr. Mohsen Hosseinalizadeh is an active member of the Iran Watershed Bureau and serves as a reviewer for several high-impact scientific journals. His collaborations with global experts have strengthened academic partnerships and promoted sustainable watershed practices worldwide.
Profile
Google Scholar | Orcid
Featured Publications
Hosseinalizadeh, M., Kariminejad, N., Chen, W., Pourghasemi, H. R., & Keesstra, S. (2019). Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models. Geoderma, 342, 1–11.
Hosseinalizadeh, M., Kariminejad, N., Chen, W., Pourghasemi, H. R., & Alinejad, M. (2019). Spatial modelling of gully headcuts using UAV data and classifier ensembles. Geomorphology, 329, 184–193.
Hosseinalizadeh, M., Kariminejad, N., Rahmati, O., Keesstra, S., & Alinejad, M. (2019). Statistical and artificial intelligence approaches for predicting piping erosion susceptibility. Science of the Total Environment, 646, 1554–1566.
Kariminejad, N., Hosseinalizadeh, M., Pourghasemi, H. R., Bernatek-Jakiel, A., & Chen, W. (2019). Factors affecting gully headcut location using summary statistics and the maximum entropy model. Science of the Total Environment, 677, 281–298.
Kariminejad, N., Hosseinalizadeh, M., Pourghasemi, H. R., & Bernatek-Jakiel, A. (2019). GIS-based susceptibility assessment of gully headcuts and pipe collapses in semi-arid environments. Land Degradation & Development, 30(18), 2211–2225.
Impact Statement / Vision
Dr. Mohsen Hosseinalizadeh envisions developing predictive environmental models that integrate data-driven algorithms with field observations to mitigate soil degradation and enhance watershed resilience. His long-term vision is to promote sustainable land management practices through scientific innovation and international collaboration.