| Data-driven performance analyses of wastewater treatment plants: A review KB Newhart, RW Holloway, AS Hering, TY Cath Water research 157, 498-513, 2019 | 300 | 2019 |
| Powering up with space-time wind forecasting AS Hering, MG Genton Journal of the American Statistical Association 105 (489), 92-104, 2010 | 222 | 2010 |
| Tracking dissolution of silver nanoparticles at environmentally relevant concentrations in laboratory, natural, and processed waters using single particle ICP-MS (spICP-MS) DM Mitrano, JF Ranville, A Bednar, K Kazor, AS Hering, CP Higgins Environmental Science: Nano 1 (3), 248-259, 2014 | 188 | 2014 |
| Variability of trace organic chemical concentrations in raw wastewater at three distinct sewershed scales J Teerlink, AS Hering, CP Higgins, JE Drewes Water research 46 (10), 3261-3271, 2012 | 95 | 2012 |
| Modeling spatio-temporal wildfire ignition point patterns AS Hering, CL Bell, MG Genton Environmental and Ecological Statistics 16, 225-250, 2009 | 95 | 2009 |
| Statistical process monitoring using advanced data-driven and deep learning approaches: theory and practical applications F Harrou, Y Sun, AS Hering, M Madakyaru Elsevier, 2020 | 72 | 2020 |
| Short‐term forecasting of categorical changes in wind power with Markov chain models M Yoder, AS Hering, WC Navidi, K Larson Wind energy 17 (9), 1425-1439, 2014 | 60 | 2014 |
| Comparing spatial predictions AS Hering, MG Genton Technometrics 53 (4), 414-425, 2011 | 58 | 2011 |
| Spatio-temporal hydro forecasting of multireservoir inflows for hydro-thermal scheduling T Lohmann, AS Hering, S Rebennack European Journal of Operational Research 255 (1), 243-258, 2016 | 44 | 2016 |
| Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility K Kazor, RW Holloway, TY Cath, AS Hering Stochastic environmental research and risk assessment 30, 1527-1544, 2016 | 39 | 2016 |
| Blowing in the wind M Genton, A Hering Significance 4 (1), 11-14, 2007 | 38 | 2007 |
| Prediction of peracetic acid disinfection performance for secondary municipal wastewater treatment using artificial neural networks KB Newhart, JE Goldman-Torres, DE Freedman, KB Wisdom, AS Hering, ... ACS ES&T Water 1 (2), 328-338, 2020 | 34 | 2020 |
| Assessing the performance of model-based clustering methods in multivariate time series with application to identifying regional wind regimes K Kazor, AS Hering Journal of Agricultural, Biological, and Environmental Statistics 20, 192-217, 2015 | 33 | 2015 |
| A Markov-switching vector autoregressive stochastic wind generator for multiple spatial and temporal scales AS Hering, K Kazor, W Kleiber Resources 4 (1), 70-92, 2015 | 33 | 2015 |
| A new strategy for developing Vs30 maps DJ Wald, L McWhirter, E Thompson, AS Hering Proceedings of the 4th IASPEI/IAEE International Symposium: Effects of …, 2011 | 32 | 2011 |
| Hybrid statistical-machine learning ammonia forecasting in continuous activated sludge treatment for improved process control KB Newhart, CA Marks, T Rauch-Williams, TY Cath, AS Hering Journal of Water Process Engineering 37, 101389, 2020 | 28 | 2020 |
| Quantitative assessment of groundwater controls across major US river basins using a multi-model regression algorithm LE Condon, AS Hering, RM Maxwell Advances in Water Resources 82, 106-123, 2015 | 27 | 2015 |
| On the flexibility of multivariate covariance models: comment on the paper by Genton and Kleiber M Bevilacqua, AS Hering, E Porcu Statistical Science 30 (2), 167-169, 2015 | 25 | 2015 |
| Testing the tests: What are the impacts of incorrect assumptions when applying confidence intervals or hypothesis tests to compare competing forecasts? E Gilleland, AS Hering, TL Fowler, BG Brown Monthly Weather Review 146 (6), 1685-1703, 2018 | 23 | 2018 |
| Copula-based monitoring schemes for non-Gaussian multivariate processes P Krupskii, F Harrou, AS Hering, Y Sun Journal of Quality Technology 52 (3), 219-234, 2020 | 20 | 2020 |
