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Nature Communications|August 1, 2022
Global analysis and prediction of fluoride in groundwaterJoel Podgorski, Michael BergScience (New York, N.Y.)|May 23, 2020
Global threat of arsenic in groundwaterJoel Podgorski, Michael BergThe Science of the Total Environment|April 11, 2022
Geogenic manganese and iron in groundwater of Southeast Asia and Bangladesh - Machine learning spatial prediction modeling and comparison with arsenicJoel Podgorski, Dahyann Araya, Michael BergEnvironment International|May 20, 2023
Groundwater salinity in the Horn of Africa: Spatial prediction modeling and estimated people at riskDahyann Araya, Joel Podgorski, Michael BergInternational Journal of Environmental Research and Public Health|October 1, 2020
Groundwater Arsenic Distribution in India by Machine Learning Geospatial ModelingJoel Podgorski, Ruohan Wu, Biswajit Chakravorty, et al.Journal of Hazardous Materials|August 28, 2025
Distribution of geogenic arsenic in European topsoil and potential concerns for food safetyKai-Yun Li, Gustavo Covatti, Joel Podgorski, et al.Environmental Geochemistry and Health|July 13, 2020
Geostatistical model of the spatial distribution of arsenic in groundwaters in Gujarat State, IndiaRuohan Wu, Joel Podgorski, Michael Berg, et al.The Science of the Total Environment|December 2, 2021
A critical review on the occurrence and distribution of the uranium- and thorium-decay nuclides and their effect on the quality of groundwaterAvner Vengosh, Rachel M Coyte, Joel Podgorski, et al.Water Research|February 1, 2022
Fluoride contamination of groundwater resources in Ghana: Country-wide hazard modeling and estimated population at riskDahyann Araya, Joel Podgorski, Michael Kumi, et al.Nature Water|June 7, 2024
Deep learning for water qualityWei Zhi, Alison P Appling, Heather E Golden, et al.Pageof 3