| The ROC curve and the area under it as performance measures C Marzban Weather and Forecasting 19 (6), 1106-1114, 2004 | 424 | 2004 |
| A neural network for tornado prediction based on Doppler radar-derived attributes C Marzban, GJ Stumpf Journal of Applied Meteorology and Climatology 35 (5), 617-626, 1996 | 287 | 1996 |
| Bottom‐up forcing and the decline of Steller sea lions (Eumetopias jubatus) in Alaska: assessing the ocean climate hypothesis AW Trites, AJ Miller, HDG Maschner, MA Alexander, SJ Bograd, ... Fisheries Oceanography 16 (1), 46-67, 2007 | 209 | 2007 |
| Artificial intelligence methods in the environmental sciences SE Haupt, A Pasini, C Marzban Springer Science & Business Media, 2008 | 195 | 2008 |
| A Bayesian neural network for severe-hail size prediction C Marzban, A Witt Weather and Forecasting 16 (5), 600-610, 2001 | 156 | 2001 |
| Scalar measures of performance in rare-event situations C Marzban Weather and Forecasting 13 (3), 753-763, 1998 | 155 | 1998 |
| Cluster analysis for verification of precipitation fields C Marzban, S Sandgathe Weather and Forecasting 21 (5), 824-838, 2006 | 128 | 2006 |
| A neural network for damaging wind prediction C Marzban, GJ Stumpf Weather and Forecasting 13 (1), 151-163, 1998 | 103 | 1998 |
| Ceiling and visibility forecasts via neural networks C Marzban, S Leyton, B Colman Weather and forecasting 22 (3), 466-479, 2007 | 99 | 2007 |
| Neural networks for postprocessing model output: ARPS C Marzban Monthly Weather Review 131 (6), 1103-1111, 2003 | 99 | 2003 |
| MOS, perfect prog, and reanalysis C Marzban, S Sandgathe, E Kalnay Monthly weather review 134 (2), 657-663, 2006 | 81 | 2006 |
| The correlation between US tornadoes and Pacific sea surface temperatures C Marzban, JT Schaefer Monthly Weather Review 129 (4), 884-895, 2001 | 79 | 2001 |
| Heterotic string modifications of Einstein's and Yang-Mills' actions Y Kikuchi, C Marzban, YJ Ng Physics Letters B 176 (1-2), 57-60, 1986 | 58 | 1986 |
| Three spatial verification techniques: Cluster analysis, variogram, and optical flow C Marzban, S Sandgathe, H Lyons, N Lederer Weather and Forecasting 24 (6), 1457-1471, 2009 | 56 | 2009 |
| Optical flow for verification C Marzban, S Sandgathe Weather and Forecasting 25 (5), 1479-1494, 2010 | 54 | 2010 |
| Using labeled data to evaluate change detectors in a multivariate streaming environment AY Kim, C Marzban, DB Percival, W Stuetzle Signal Processing 89 (12), 2529-2536, 2009 | 53 | 2009 |
| Cluster analysis for object-oriented verification of fields: A variation C Marzban, S Sandgathe Monthly Weather Review 136 (3), 1013-1025, 2008 | 50 | 2008 |
| Verification with variograms C Marzban, S Sandgathe Weather and forecasting 24 (4), 1102-1120, 2009 | 47 | 2009 |
| On the effect of correlations on rank histograms: Reliability of temperature and wind speed forecasts from finescale ensemble reforecasts C Marzban, R Wang, F Kong, S Leyton Monthly Weather Review 139 (1), 295-310, 2011 | 43 | 2011 |
| The history and practice of AI in the environmental sciences SE Haupt, DJ Gagne, WW Hsieh, V Krasnopolsky, A McGovern, ... Bulletin of the American Meteorological Society 103 (5), E1351-E1370, 2022 | 42 | 2022 |
