| Application of tank, NAM, ARMA and neural network models to flood forecasting T Tingsanchali, MR Gautam Hydrological Processes 14 (14), 2473-2487, 2000 | 137 | 2000 |
| Runoff analysis in humid forest catchment with artificial neural network MR Gautam, K Watanabe, H Saegusa Journal of Hydrology 235 (1-2), 117-136, 2000 | 126 | 2000 |
| Climate change in the Himalayas: current state of knowledge MR Gautam, GR Timilsina, K Acharya World Bank Policy Research Working Paper, 2013 | 98 | 2013 |
| Streamflow trends in Nepal MR Gautam, K Acharya Hydrological sciences journal 57 (2), 344-357, 2012 | 83 | 2012 |
| Climate change in arid lands and Native American socioeconomic vulnerability: The case of the Pyramid Lake Paiute Tribe MR Gautam, K Chief, WJ Smith Jr Climate change and indigenous peoples in the United States: Impacts …, 2013 | 65 | 2013 |
| How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States? P Jiang, MR Gautam, J Zhu, Z Yu Journal of Hydrology 479, 75-85, 2013 | 65 | 2013 |
| Estimation of root cohesion for desert shrub species in the Lower Colorado riparian ecosystem and its potential for streambank stabilization AR Adhikari, MR Gautam, Z Yu, S Imada, K Acharya Ecological Engineering 51, 33-44, 2013 | 61 | 2013 |
| Variability and Trends in Precipitation, Temperature and Drought Indices in the State of California M He, M Gautam Hydrology 3 (2), 21, 2016 | 58 | 2016 |
| Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an ensemble of climate models J Zhu, W Forsee, R Schumer, M Gautam Climatic Change 118, 469-485, 2013 | 54 | 2013 |
| Unique challenges facing southwestern tribes MH Redsteer, K Bemis, K Chief, M Gautam, BR Middleton, R Tsosie, ... Assessment of climate change in the Southwest United States: A report …, 2013 | 48 | 2013 |
| Upward trend of streamflow and precipitation in a small, non-snow-fed, mountainous watershed in Nepal MR Gautam, K Acharya, MK Tuladhar Journal of hydrology 387 (3-4), 304-311, 2010 | 46 | 2010 |
| Pacific and Atlantic Ocean influence on the spatiotemporal variability of heavy precipitation in the western United States J Peng, Z Yu, MR Gautam Global and Planetary Change 109, 38-45, 2013 | 38 | 2013 |
| The spatiotemporal characteristics of extreme precipitation events in the western United States P Jiang, Z Yu, MR Gautam, K Acharya Water Resources Management 30, 4807-4821, 2016 | 30 | 2016 |
| Changes of storm properties in the United States: observations and multimodel ensemble projections P Jiang, Z Yu, MR Gautam, F Yuan, K Acharya Global and Planetary Change 142, 41-52, 2016 | 28 | 2016 |
| Best management practices for stormwater management in the desert southwest MR Gautam, K Acharya, M Stone Journal of Contemporary Water Research & Education 146 (1), 39-49, 2010 | 27 | 2010 |
| Changes of seasonal storm properties in California and Nevada from an ensemble of climate projections Z Yu, P Jiang, MR Gautam, Y Zhang, K Acharya Journal of Geophysical Research: Atmospheres 120 (7), 2676-2688, 2015 | 24 | 2015 |
| Bacterial contamination due to point and nonpoint source pollution in a rapidly growing urban center in an arid region S O'Neill, AR Adhikari, MR Gautam, K Acharya Urban Water Journal 10 (6), 411-421, 2013 | 22 | 2013 |
| Effect of bridge construction on floodplain hydrology—assessment by using monitored data and artificial neural network models MR Gautam, K Watanabe, H Ohno Journal of Hydrology 292 (1-4), 182-197, 2004 | 21 | 2004 |
| Analysis of hydraulic pressure fluctuation in deep geologic formations in Tono area, Japan using artificial neural networks MR Gautam, K Watanabe, H Saegusa Journal of hydrology 284 (1-4), 174-192, 2003 | 15 | 2003 |
| Ongoing restoration and management of Las Vegas Wash: an evaluation of success criteria M Gautam, K Acharya, SA Shanahan Water Policy 16 (4), 720-738, 2014 | 11 | 2014 |
