| Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape A Chipanshi, Y Zhang, L Kouadio, N Newlands, A Davidson, H Hill, ... Agricultural and forest meteorology 206, 137-150, 2015 | 172 | 2015 |
| Assessing the performance of MODIS NDVI and EVI for seasonal crop yield forecasting at the ecodistrict scale L Kouadio, NK Newlands, A Davidson, Y Zhang, A Chipanshi Remote Sensing 6 (10), 10193-10214, 2014 | 161 | 2014 |
| Automated parameter optimization for Ecopath ecosystem models P Kavanagh, N Newlands, V Christensen, D Pauly Ecological Modelling 172 (2-4), 141-149, 2004 | 145 | 2004 |
| A proposed approach to estimate and reduce net greenhouse gas emissions from whole farms HH Janzen, DA Angers, M Boehm, M Bolinder, RL Desjardins, J Dyer, ... Canadian journal of soil science 86 (3), 401-418, 2006 | 125 | 2006 |
| An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty NK Newlands, DS Zamar, LA Kouadio, Y Zhang, A Chipanshi, A Potgieter, ... Frontiers in Environmental Science 2, 17, 2014 | 102 | 2014 |
| Model-based forecasting of agricultural crop disease risk at the regional scale, integrating airborne inoculum, environmental, and satellite-based monitoring data NK Newlands Frontiers in Environmental Science 6, 63, 2018 | 88 | 2018 |
| Energy balances of biodiesel production from soybean and canola in Canada EG Smith, HH Janzen, NK Newlands Canadian journal of plant science 87 (4), 793-801, 2007 | 84 | 2007 |
| Integrated sensing of soil moisture at the field-scale: Measuring, modeling and sharing for improved agricultural decision support AJ Phillips, NK Newlands, SHL Liang, BH Ellert Computers and Electronics in Agriculture 107, 73-88, 2014 | 66 | 2014 |
| Maize yield response to a phosphorus-solubilizing microbial inoculant in field trials M Leggett, NK Newlands, D Greenshields, L West, S Inman, ME Koivunen The Journal of agricultural science 153 (8), 1464-1478, 2015 | 63 | 2015 |
| Analysis of foraging movements of Atlantic bluefin tuna (Thunnus thynnus): individuals switch between two modes of search behaviour NK Newlands, ME Lutcavage, TJ Pitcher Population Ecology 46, 39-53, 2004 | 63 | 2004 |
| Research priorities for global food security under extreme events Z Mehrabi, R Delzeit, A Ignaciuk, C Levers, G Braich, K Bajaj, ... One Earth 5 (7), 756-766, 2022 | 59 | 2022 |
| Insurance risk assessment in the face of climate change: Integrating data science and statistics V Lyubchich, NK Newlands, A Ghahari, T Mahdi, YR Gel Wiley Interdisciplinary Reviews: Computational Statistics 11 (4), e1462, 2019 | 52 | 2019 |
| Inferring resource distributions from Atlantic bluefin tuna movements: An analysis based on net displacement and length of track R Gutenkunst, N Newlands, M Lutcavage, L Edelstein-Keshet Journal of Theoretical Biology 245 (2), 243-257, 2007 | 46 | 2007 |
| A new approach to the analysis of stock-recruitment relationships:" model-free estimation" using fuzzy logic S Mackinson, M Vasconcellos, N Newlands Canadian Journal of Fisheries and Aquatic Sciences 56 (4), 686-699, 1999 | 44 | 1999 |
| A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty DS Zamar, B Gopaluni, S Sokhansanj, NK Newlands Computers & Chemical Engineering 97, 114-123, 2017 | 40 | 2017 |
| Validation and inter‐comparison of three methodologies for interpolating daily precipitation and temperature across Canada NK Newlands, A Davidson, A Howard, H Hill Environmetrics 22 (2), 205-223, 2011 | 37 | 2011 |
| Disease Risk Forecasting with Bayesian Learning Networks: Application to Grape Powdery Mildew (Erysiphe necator) in Vineyards W Lu, NK Newlands, O Carisse, DE Atkinson, AJ Cannon Agronomy 10 (5), 622, 2020 | 33 | 2020 |
| Measurement of the size, shape and structure of Atlantic bluefin tuna schools in the open ocean NK Newlands, TA Porcelli Fisheries Research 91 (1), 42-55, 2008 | 31 | 2008 |
| Statistical modeling of soil moisture, integrating satellite remote-sensing (SAR) and ground-based data R Hosseini, NK Newlands, CB Dean, A Takemura Remote Sensing 7 (3), 2752-2780, 2015 | 29 | 2015 |
| Deep learning at the interface of agricultural insurance risk and spatio-temporal uncertainty in weather extremes A Ghahari, NK Newlands, V Lyubchich, YR Gel North American Actuarial Journal 23 (4), 535-550, 2019 | 23 | 2019 |
