| Year |
Citation |
Score |
| 2020 |
Odjegba E, Oluwasanya G, Idowu O, Shittu O, Brion G. Sustainability indices and risk analysis of drinking water systems in Southwest Nigeria Journal of Water Supply Research and Technology-Aqua. DOI: 10.2166/Aqua.2020.002 |
0.311 |
|
| 2019 |
Currens BJ, Hall AM, Brion GM, Fryar AE. Use of acetaminophen and sucralose as co-analytes to differentiate sources of human excreta in surface waters. Water Research. 157: 1-7. PMID 30947079 DOI: 10.1016/J.Watres.2019.03.023 |
0.408 |
|
| 2016 |
Ward JW, Warden JM, Bandy AM, Fryar AE, Brion GM, Macko SA, Romanek CS, Coyne MS. Use of Nitrogen-15-Enriched Escherichia coli as a Bacterial Tracer in Karst Aquifers. Ground Water. PMID 27089430 DOI: 10.1111/Gwat.12426 |
0.3 |
|
| 2015 |
Coakley T, Brion GM, Fryar AE. Prevalence of and Relationship between Two Human-Associated DNA Biomarkers for Bacteroidales in an Urban Watershed. Journal of Environmental Quality. 44: 1694-8. PMID 26436286 DOI: 10.2134/Jeq2014.11.0494 |
0.309 |
|
| 2011 |
Reed TM, Fryar AE, Brion GM, Ward JW. Differences in pathogen indicators between proximal urban and rural karst springs, Central Kentucky, USA Environmental Earth Sciences. 64: 47-55. DOI: 10.1007/S12665-010-0816-8 |
0.334 |
|
| 2009 |
Ward JW, Reed TM, Fryar AE, Brion GM. Using the AC/TC ratio to evaluate fecal inputs in a karst groundwater basin Environmental and Engineering Geoscience. 15: 57-65. DOI: 10.2113/Gseegeosci.15.2.57 |
0.374 |
|
| 2009 |
Fox JF, Viswanathan C, Brion G, Thompson N. Classification of Erodible Soils Using Artificial Neural Networks and Biogeochemical Indicators Environmental Engineering Science. 26: 567-577. DOI: 10.1089/Ees.2007.0350 |
0.347 |
|
| 2008 |
Chandramouli V, Neelakantan TR, Brion GM, Lingireddy S. Predicting enteric virus presence in surface waters using artificial neural network models Environmental Engineering Science. 25: 53-62. DOI: 10.1089/Ees.2006.0248 |
0.389 |
|
| 2007 |
Black LE, Brion GM, Freitas SJ. Multivariate logistic regression for predicting total culturable virus presence at the intake of a potable-water treatment plant: novel application of the atypical coliform/total coliform ratio. Applied and Environmental Microbiology. 73: 3965-74. PMID 17468270 DOI: 10.1128/Aem.02780-06 |
0.422 |
|
| 2007 |
Chandramouli V, Brion G, Neelakantan TR, Lingireddy S. Backfilling missing microbial concentrations in a riverine database using artificial neural networks Water Research. 41: 217-227. PMID 17070890 DOI: 10.1016/J.Watres.2006.08.022 |
0.428 |
|
| 2006 |
Freitas SJ, Brion GM, Black L, Coakley T. Predictive input parameters for enteric virus presence at the inlet of a potable water supply Water Science and Technology. 54: 17-21. PMID 17037127 DOI: 10.2166/Wst.2006.442 |
0.41 |
|
| 2006 |
Brion G. Seeing the Elephant Journal of Environmental Engineering. 132: 156-156. DOI: 10.1061/(Asce)0733-9372(2006)132:2(156) |
0.375 |
|
| 2005 |
Brion G, Viswanathan C, Neelakantan TR, Lingireddy S, Girones R, Lees D, Allard A, Vantarakis A. Artificial Neural Network Prediction of Viruses in Shellfish Applied and Environmental Microbiology. 71: 5244-5253. PMID 16151110 DOI: 10.1128/Aem.71.9.5244-5253.2005 |
0.362 |
|
| 2005 |
Brion GM. The Ac/Tc Bacterial Ratio: A Tool For Watershed Quality Management Journal of Water and Environment Technology. 3: 271-277. DOI: 10.2965/Jwet.2005.271 |
0.366 |
|
| 2004 |
Booth J, Brion GM. The utility of the AC/TC ratio for watershed management: a case study Water Science and Technology. 50: 199-203. DOI: 10.2166/Wst.2004.0054 |
0.353 |
|
| 2004 |
Brion G, Lingeriddy S, Neelakantan TR, Wang M, Girones R, Lees D, Allard A, Vantarakis A. Probing Norwalk-like virus presence in shellfish, using artificial neural networks Water Science and Technology. 50: 125-129. DOI: 10.2166/Wst.2004.0037 |
0.36 |
|
| 2003 |
Brion GM, Lingireddy S. Artificial neural network modelling: a summary of successful applications relative to microbial water quality Water Science and Technology. 47: 235-240. DOI: 10.2166/Wst.2003.0201 |
0.435 |
|
| 2003 |
Nieman J, Brion GM. Novel bacterial ratio for predicting faecal age Water Science and Technology. 47: 45-49. DOI: 10.2166/Wst.2003.0157 |
0.404 |
|
| 2002 |
Brion GM, Neelakantan TR, Lingireddy S. A neural-network-based classification scheme for sorting sources and ages of fecal contamination in water. Water Research. 36: 3765-74. PMID 12369523 DOI: 10.1016/S0043-1354(02)00091-X |
0.394 |
|
| 2002 |
Neelakantan TR, Lingireddy S, Brion GM. Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters Journal of Environmental Engineering. 128: 533-542. DOI: 10.1061/(Asce)0733-9372(2002)128:6(533) |
0.37 |
|
| 2001 |
Neelakantan TR, Brion GM, Lingireddy S. Neural network modelling of Cryptosporidium and Giardia concentrations in the Delaware River, USA. Water Science and Technology. 43: 125-132. DOI: 10.2166/Wst.2001.0723 |
0.431 |
|
| 2001 |
Brion GM, Neelakantan TR, Lingireddy S. USING NEURAL NETWORKS to predict peak Cryptosporidium concentrations Journal American Water Works Association. 93: 99-105. DOI: 10.1002/J.1551-8833.2001.Tb09103.X |
0.429 |
|
| 2000 |
Brion GM, Mao HH, Lingireddy S. New approach to use of total coliform test for watershed management Water Science and Technology. 42: 65-69. DOI: 10.2166/Wst.2000.0292 |
0.439 |
|
| 2000 |
Brion GM, Mao HH. Use of Total Coliform Test for Watershed Monitoring with Respect to Atypicals Journal of Environmental Engineering. 126: 175-181. DOI: 10.1061/(Asce)0733-9372(2000)126:2(175) |
0.36 |
|
| 1999 |
Brion GM, Lingireddy S. A neural network approach to identifying non-point sources of microbial contamination Water Research. 33: 3099-3106. DOI: 10.1016/S0043-1354(99)00025-1 |
0.429 |
|
| 1994 |
Silverstein J, Brion GM, Barkley R, Dunham A, Hurst C, Todd P, Schulz J. Contaminant accumulation in space water recycle systems. Acta Astronautica. 33: 317-38. PMID 11539535 DOI: 10.1016/0094-5765(94)90138-4 |
0.34 |
|
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