Eric Money

House, J. S., Hall, J., Park, S. S., Planchart, A., Money, E., Maguire, R. L., … Hoyo, C. (2019). Cadmium exposure and MEG3 methylation differences between Whites and African Americans in the NEST Cohort. Environmental Epigenetics, 5(3). https://doi.org/10.1093/eep/dvz014

Tonini, F., Dillon, W. W., Money, E. S., & Meentemeyer, R. K. (2016). Spatio-temporal reconstruction of missing forest microclimate measurements. AGRICULTURAL AND FOREST METEOROLOGY, 218, 1–10. https://doi.org/10.1016/j.agrformet.2015.11.004

King, K. E., Darrah, T. H., Money, E., Meentemeyer, R., Maguire, R. L., Nye, M. D., … Hoyo, C. (2015). Geographic clustering of elevated blood heavy metal levels in pregnant women. BMC PUBLIC HEALTH, 15(1). https://doi.org/10.1186/s12889-015-2379-9

Grieger, K. D., Redmon, J. H., Money, E. S., Widder, M. W., van der Schalie, W. H., Beaulieu, S. M., & Womack, D. (2014). A relative ranking approach for nano-enabled applications to improve risk-based decision making: a case study of Army materiel. Environment Systems and Decisions, 35(1), 42–53. https://doi.org/10.1007/s10669-014-9531-4

Powers, C. M., Grieger, K. D., Hendren, C. O., Meacham, C. A., Gurevich, G., Lassiter, M. G., … Beaulieu, S. M. (2014). A web-based tool to engage stakeholders in informing research planning for future decisions on emerging materials. Science of The Total Environment, 470-471, 660–668. https://doi.org/10.1016/j.scitotenv.2013.10.016

Money, E. S., Barton, L. E., Dawson, J., Reckhow, K. H., & Wiesner, M. R. (2014). Validation and sensitivity of the FINE Bayesian network for forecasting aquatic exposure to nano-silver. Science of The Total Environment, 473-474, 685–691. https://doi.org/10.1016/j.scitotenv.2013.12.100

Hendren, C. O., Lowry, M., Grieger, K. D., Money, E. S., Johnston, J. M., Wiesner, M. R., & Beaulieu, S. M. (2013). Modeling Approaches for Characterizing and Evaluating Environmental Exposure to Engineered Nanomaterials in Support of Risk-Based Decision Making. Environmental Science & Technology, 47(3), 1190–1205. https://doi.org/10.1021/es302749u

Money, E. S., Reckhow, K. H., & Wiesner, M. R. (2012). The use of Bayesian networks for nanoparticle risk forecasting: Model formulation and baseline evaluation. Science of The Total Environment, 426, 436–445. https://doi.org/10.1016/j.scitotenv.2012.03.064

Money, E. S., Sackett, D. K., Aday, D. D., & Serre, M. L. (2011). Using River Distance and Existing Hydrography Data Can Improve the Geostatistical Estimation of Fish Tissue Mercury at Unsampled Locations. ENVIRONMENTAL SCIENCE & TECHNOLOGY, 45(18), 7746–7753. https://doi.org/10.1021/es2003827

Love, D. C., Lovelace, G. L., Money, E. S., & Sobsey, M. D. (2010). Microbial Fecal Indicator Concentrations in Water and Their Correlation to Environmental Parameters in Nine Geographically Diverse Estuaries. Water Quality, Exposure and Health, 2(2), 85–95. https://doi.org/10.1007/s12403-010-0026-3

Money, E. S., Carter, G. P., & Serre, M. L. (2009). Modern Space/Time Geostatistics Using River Distances: Data Integration of Turbidity andE. coliMeasurements to Assess Fecal Contamination Along the Raritan River in New Jersey. Environmental Science & Technology, 43(10), 3736–3742. https://doi.org/10.1021/es803236j

Coulliette, A. D., Money, E. S., Serre, M. L., & Noble, R. T. (2009). Space/Time Analysis of Fecal Pollution and Rainfall in an Eastern North Carolina Estuary. Environmental Science & Technology, 43(10), 3728–3735. https://doi.org/10.1021/es803183f

Money, E., Carter, G. P., & Serre, M. L. (2009). Using river distances in the space/time estimation of dissolved oxygen along two impaired river networks in New Jersey. Water Research, 43(7), 1948–1958. https://doi.org/10.1016/j.watres.2009.01.034

Serre, M. L., Carter, G., & Money, E. (2004). Geostatistical space/time estimation of water quality along the Raritan River Basin in New Jersey. Computational Methods in Water Resources: Volume 2, Proceedings of the XVth International Conference on Computational Methods in Water Resources, pp. 1839–1852. https://doi.org/10.1016/s0167-5648(04)80189-8