International Journal:
•Bellat, M., Zebari, M., Glissman, B., Rentschler, T., Sconzo, P., Kakhani, N., Taghizadeh-Mehrjardi, R., Kohsravani, P., Brifany, B., Pfälzner, P., and Scholten, T. (2026). Soil information and soil property maps for the Kurdistan region, Dohuk governorate (Iraq). Earth System Science Data, 18(4), 2507-2548.
•Khosravani, P., Kebonye, N. M., Taghizadeh-Mehrjardi, R., Shokati, H., Hu, L., & Scholten, T. (2026). Soil pH and latitude as major predictors of C: N:P stoichiometry in Germany. CATENA, 264, 109785. https://doi.org/10.1016/j.catena.2025.109785
• Kebonye, N. M., Khosravani, P., Seletlo, Z., Scholten, T. (2025). Refined insights into Africa’s plant-soil diversity interplay. Environmental and Sustainability Indicators, 100844. https://doi.org/10.1016/j.indic.2025.100844
•Shokati, H., Mashal, M., Noroozi, A., Mirzaei, S., Mohammadi-Doqozloo, Z., Nabiollahi, K., Taghizadeh-Mehrjardi, R., Khosravani, P., Adhikari, R., Hu, L., and Scholten, T. (2025). Comparing UAV-Based Hyperspectral and Satellite-Based Multispectral Data for Soil Moisture Estimation Using Machine Learning. Water, 17, 1715. https://doi.org/10.3390/w17111715
• Khosravani, P., Moosavi, A. A., Baghernejad, M., Kebonye, N. M., Mousavi, S. R., & Scholten, T. (2024). Machine Learning Enhances Soil Aggregate Stability Mapping for Effective Land Management in a Semi-Arid Region. Remote Sensing, 16(22), 4304.
•Khosravani, P., Baghernejad, M., Taghizadeh-Mehrjardi, R., Mousavi, S. R., Moosavi, A. A., Fallah Shamsi, S. R., ... & Scholten, T. (2024). Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran. Land, 13(8), 1309.
•Khosravani, P., Baghernejad, M., Moosavi, A. A., & FallahShamsi, S. R. (2023). Digital mapping to extrapolate the selected soil fertility attributes in calcareous soils of a semiarid region in Iran. Journal of Soils and Sediments, 23(11), 4032-4054.
•Khosravani, P., Baghernejad, M., Moosavi, A. A., & Rezaei, M. (2023). Digital mapping and spatial modeling of some soil physical and mechanical properties in a semi-arid region of Iran. Environmental Monitoring and Assessment, 195(11), 1367.
•Hu, L., Hochschild, V., Neidhardt, H., Schultz, M., Khosravani, P., & Shokati, H. (2024). BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany. Remote Sensing, 17(1), 7. •Shokati, H., Mashal, M., Noroozi, A., Abkar, A. A., Mirzaei, S., Mohammadi-Doqozloo, Z., Taghizadeh-Mehrjardi, R., Khosravani, P., … & Scholten, T. (2024). Random Forest-Based Soil Moisture Estimation Using Sentinel-2, Landsat-8/9, and UAV-Based Hyperspectral Data. Remote Sensing, 16(11), 1962.
•Enjavinejad, S. M., Zahedifar, M., Moosavi, A. A., & Khosravani, P. (2024). Integrated application of multiple indicators and geographic information system-based approaches for comprehensive assessment of environmental impacts of toxic metals-contaminated agricultural soils and vegetables. Science of The Total Environment, 926, 171747.
National Journal:
•Khosravani, P., Baghernejad, M., Moosavi, A. A., & FallahShamsi, S. R. (2024). Digital Mapping of Soil Texture Particles with Machine Learning Models and Environmental Covariates. Water & Soil, 37(6).
•Khosravani, P., Moosavi, A. A., & Baghernejad, M. (2021). Spatial variations of soil penetration resistance and shear strength and the effect of land use type and physiographic unit on these characteristics. Journal of Soil and Water Research, 52(4), 1041-1057.
•Khosravani, P., Baghernejad, M., Abtahi, A., & Ghasemi, R. (2021). Comparison of the Efficiency of Soil Taxonomy (2014) and WRB (2015) Systems in the Study of Soil Variations in Different Landform Positions. JWSS-Isfahan University of Technology, 25(3), 191-207.
•Khosravani, P., Baghernejad, M., Abtahi, S. A., & Ghasemi, R. (2020). Soil Genesis and Classification of Available Soils Along a Toposequence in Farsarood Region of Darab City, Fars Province. Journal of Soil and Water Research, 50(10), 2539-2553.