| Rising temperatures reduce global wheat production S Asseng, F Ewert, P Martre, RP Rötter, DB Lobell, D Cammarano, ... Nature climate change 5 (2), 143-147, 2015 | 2370 | 2015 |
| APSIM–evolution towards a new generation of agricultural systems simulation DP Holzworth, NI Huth, PG deVoil, EJ Zurcher, NI Herrmann, G McLean, ... Environmental Modelling & Software 62, 327-350, 2014 | 1727 | 2014 |
| Uncertainty in simulating wheat yields under climate change S Asseng, F Ewert, C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, ... Nature climate change 3 (9), 827-832, 2013 | 1376 | 2013 |
| The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies C Rosenzweig, JW Jones, JL Hatfield, AC Ruane, KJ Boote, P Thorburn, ... Agricultural and forest meteorology 170, 166-182, 2013 | 1142 | 2013 |
| Similar estimates of temperature impacts on global wheat yield by three independent methods B Liu, S Asseng, C Müller, F Ewert, J Elliott, DB Lobell, P Martre, ... Nature Climate Change 6 (12), 1130-1136, 2016 | 592 | 2016 |
| Multimodel ensembles of wheat growth: many models are better than one P Martre, D Wallach, S Asseng, F Ewert, JW Jones, RP Rötter, KJ Boote, ... Global change biology 21 (2), 911-925, 2015 | 529 | 2015 |
| Analysis of soil wetting and solute transport in subsurface trickle irrigation CM Cote, KL Bristow, PB Charlesworth, FJ Cook, PJ Thorburn Irrigation Science 22, 143-156, 2003 | 489 | 2003 |
| Climate change impact and adaptation for wheat protein S Asseng, P Martre, A Maiorano, RP Rötter, GJ O’Leary, GJ Fitzgerald, ... Global change biology 25 (1), 155-173, 2019 | 488 | 2019 |
| Nitrate in groundwaters of intensive agricultural areas in coastal Northeastern Australia PJ Thorburn, JS Biggs, KL Weier, BA Keating Agriculture, ecosystems & environment 94 (1), 49-58, 2003 | 420 | 2003 |
| Growth and function of the sugarcane root system DM Smith, NG Inman-Bamber, PJ Thorburn Field Crops Research 92 (2-3), 169-183, 2005 | 408 | 2005 |
| “If they don’t tell us what they do with it, why would we trust them?” Trust, transparency and benefit-sharing in Smart Farming E Jakku, B Taylor, A Fleming, C Mason, S Fielke, C Sounness, P Thorburn NJAS-Wageningen Journal of Life Sciences 90, 100285, 2019 | 338 | 2019 |
| The uncertainty of crop yield projections is reduced by improved temperature response functions E Wang, P Martre, Z Zhao, F Ewert, A Maiorano, RP Rötter, BA Kimball, ... Nature plants 3 (8), 1-13, 2017 | 301 | 2017 |
| Agricultural production systems modelling and software: current status and future prospects DP Holzworth, V Snow, S Janssen, IN Athanasiadis, M Donatelli, ... Environmental Modelling & Software 72, 276-286, 2015 | 278 | 2015 |
| A conceptual framework for guiding the participatory development of agricultural decision support systems E Jakku, PJ Thorburn Agricultural systems 103 (9), 675-682, 2010 | 278 | 2010 |
| Sources of water used by riparian Eucalyptus camaldulensis overlying highly saline groundwater LJ Mensforth, PJ Thorburn, SD Tyerman, GR Walker Oecologia 100, 21-28, 1994 | 267 | 1994 |
| Towards protecting the Great Barrier Reef from land‐based pollution FJ Kroon, P Thorburn, B Schaffelke, S Whitten Global change biology 22 (6), 1985-2002, 2016 | 248 | 2016 |
| Modelling decomposition of sugar cane surface residues with APSIM–Residue PJ Thorburn, ME Probert, FA Robertson Field Crops Research 70 (3), 223-232, 2001 | 210 | 2001 |
| Combining measurements of transpiration and stable isotopes of water to determine groundwater discharge from forests PJ Thorburn, TJ Hatton, GR Walker Journal of Hydrology 150 (2-4), 563-587, 1993 | 205 | 1993 |
| Management of sugarcane harvest residues: consequences for soil carbon and nitrogen FA Robertson, PJ Thorburn Soil Research 45 (1), 13-23, 2007 | 199 | 2007 |
| Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems PJ Thorburn, JS Biggs, K Collins, ME Probert Agriculture, Ecosystems & Environment 136 (3-4), 343-350, 2010 | 190 | 2010 |