| Pilot-scale in situ bioremedation of uranium in a highly contaminated aquifer. 2. Reduction of U (VI) and geochemical control of U (VI) bioavailability WM Wu, J Carley, T Gentry, MA Ginder-Vogel, M Fienen, T Mehlhorn, ... Environmental science & technology 40 (12), 3986-3995, 2006 | 324 | 2006 |
| Scripting MODFLOW model development using Python and FloPy M Bakker, V Post, CD Langevin, JD Hughes, JT White, JJ Starn, ... Groundwater 54 (5), 733-739, 2016 | 311 | 2016 |
| Pilot-scale in situ bioremediation of uranium in a highly contaminated aquifer. 1. Conditioning of a treatment zone WM Wu, J Carley, M Fienen, T Mehlhorn, K Lowe, J Nyman, J Luo, ... Environmental Science & Technology 40 (12), 3978-3985, 2006 | 215 | 2006 |
| CrowdHydrology: Crowdsourcing hydrologic data and engaging citizen scientists CS Lowry, MN Fienen GroundWater 51 (1), 151-156, 2013 | 202 | 2013 |
| Analyzing bank filtration by deconvoluting time series of electric conductivity OA Cirpka, MN Fienen, M Hofer, E Hoehn, A Tessarini, R Kipfer, ... Groundwater 45 (3), 318-328, 2007 | 176 | 2007 |
| A statistical learning framework for groundwater nitrate models of the Central Valley, California, USA BT Nolan, MN Fienen, DL Lorenz Journal of Hydrology 531, 902-911, 2015 | 141 | 2015 |
| Approaches to highly parameterized inversion: Pilot-point theory, guidelines, and research directions JE Doherty, MN Fienen, RJ Hunt Scientific investigations report, 2011 | 125 | 2011 |
| Understanding the DayCent model: Calibration, sensitivity, and identifiability through inverse modeling M Necpálová, RP Anex, MN Fienen, SJ Del Grosso, MJ Castellano, ... Environmental Modelling & Software 66, 110-130, 2015 | 118 | 2015 |
| A python framework for environmental model uncertainty analysis JT White, MN Fienen, JE Doherty Environmental Modelling & Software 85, 217-228, 2016 | 103 | 2016 |
| An interactive Bayesian geostatistical inverse protocol for hydraulic tomography MN Fienen, T Clemo, PK Kitanidis Water Resources Research 44 (12), 2008 | 102 | 2008 |
| The international scale of the groundwater issue MN Fienen, M Arshad Integrated groundwater management: concepts, approaches and challenges, 21-48, 2016 | 99 | 2016 |
| On constraining pilot point calibration with regularization in PEST MN Fienen, CT Muffels, RJ Hunt Groundwater 47 (6), 835-844, 2009 | 97 | 2009 |
| Effects of sea‐level rise on barrier island groundwater system dynamics–ecohydrological implications JP Masterson, MN Fienen, ER Thieler, DB Gesch, BT Gutierrez, NG Plant Ecohydrology 7 (3), 1064-1071, 2014 | 85 | 2014 |
| Social. Water—A crowdsourcing tool for environmental data acquisition MN Fienen, CS Lowry Computers & Geosciences 49, 164-169, 2012 | 81 | 2012 |
| Using prediction uncertainty analysis to design hydrologic monitoring networks: Example applications from the Great Lakes water availability pilot project MN Fienen, JE Doherty, RJ Hunt, HW Reeves Scientific Investigations Report, 2010 | 79 | 2010 |
| Bridging groundwater models and decision support with a Bayesian network MN Fienen, JP Masterson, NG Plant, BT Gutierrez, ER Thieler Water Resources Research 49 (10), 6459-6473, 2013 | 76 | 2013 |
| Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis JT White, RJ Hunt, MN Fienen, JE Doherty Techniques and Methods, 2020 | 75 | 2020 |
| Obtaining parsimonious hydraulic conductivity fields using head and transport observations: A Bayesian geostatistical parameter estimation approach M Fienen, R Hunt, D Krabbenhoft, T Clemo Water resources research 45 (8), 2009 | 73 | 2009 |
| Development of a joint hydrogeophysical inversion approach and application to a contaminated fractured aquifer J Chen, S Hubbard, J Peterson, K Williams, M Fienen, P Jardine, ... Water Resources Research 42 (6), 2006 | 67 | 2006 |
| A nested‐cell approach for in situ remediation J Luo, W Wu, MN Fienen, PM Jardine, TL Mehlhorn, DB Watson, ... Groundwater 44 (2), 266-274, 2006 | 67 | 2006 |
