| Quantifying carbon for agricultural soil management: from the current status toward a global soil information system K Paustian, S Collier, J Baldock, R Burgess, J Creque, M DeLonge, ... Carbon Management 10 (6), 567-587, 2019 | 330 | 2019 |
| The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project RAV Rossel, C Chen, MJ Grundy, R Searle, D Clifford, PH Campbell Soil Research 53 (8), 845-864, 2015 | 291 | 2015 |
| Soil and landscape grid of Australia MJ Grundy, RAV Rossel, RD Searle, PL Wilson, C Chen, LJ Gregory Soil Research 53 (8), 835-844, 2015 | 260 | 2015 |
| Soil legacy data rescue via GlobalSoilMap and other international and national initiatives D Arrouays, JGB Leenaars, AC Richer-de-Forges, K Adhikari, C Ballabio, ... GeoResJ 14, 1-19, 2017 | 177* | 2017 |
| Development of a time-stepping sediment budget model for assessing land use impacts in large river basins SN Wilkinson, C Dougall, AE Kinsey-Henderson, RD Searle, RJ Ellis, ... Science of the Total Environment 468, 1210-1224, 2014 | 112 | 2014 |
| Quantifying the economic impact of soil constraints on Australian agriculture: A case‐study of wheat TG Orton, T Mallawaarachchi, MJ Pringle, NW Menzies, RC Dalal, ... Land Degradation & Development 29 (11), 3866-3875, 2018 | 91 | 2018 |
| Digital soil mapping and assessment for Australia and beyond: A propitious future R Searle, A McBratney, M Grundy, D Kidd, B Malone, D Arrouays, ... Geoderma Regional 24, e00359, 2021 | 76 | 2021 |
| Pragmatic soil survey design using flexible Latin hypercube sampling D Clifford, JE Payne, MJ Pringle, R Searle, N Butler Computers & Geosciences 67, 62-68, 2014 | 76 | 2014 |
| A regolith depth map of the Australian continent JR Wilford, R Searle, M Thomas, D Pagendam, MJ Grundy Geoderma 266, 1-13, 2016 | 74 | 2016 |
| Operationalising digital soil mapping–Lessons from Australia D Kidd, R Searle, M Grundy, A McBratney, N Robinson, L O'Brien, P Zund, ... Geoderma Regional 23, e00335, 2020 | 60 | 2020 |
| Soil and Landscape Grid National Soil Attribute Maps–Sand (3 resolution)–Release 1 R Viscarra Rossel, C Chen, M Grundy, R Searle, D Clifford, N Odgers, ... CSIRO. Data collection, 2014 | 49 | 2014 |
| Predictive mapping of soil organic carbon stocks in South Australia’s agricultural zone C Liddicoat, D Maschmedt, D Clifford, R Searle, T Herrmann, ... Soil Research 53 (8), 956-973, 2015 | 48 | 2015 |
| Improvements to the Australian national soil thickness map using an integrated data mining approach B Malone, R Searle Geoderma 377, 114579, 2020 | 47 | 2020 |
| Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D McJannet, A Hawdon, B Baker, L Renzullo, R Searle Hydrology and Earth System Sciences 21 (12), 6049-6067, 2017 | 42 | 2017 |
| Mapping soil organic carbon fractions for Australia, their stocks and uncertainty M Román Dobarco, AMJC Wadoux, B Malone, B Minasny, AB McBratney, ... Biogeosciences Discussions 2022, 1-38, 2022 | 39 | 2022 |
| Mapping future soil carbon change and its uncertainty in croplands using simple surrogates of a complex farming system model Z Luo, S Eady, B Sharma, T Grant, D Li Liu, A Cowie, R Farquharson, ... Geoderma 337, 311-321, 2019 | 39 | 2019 |
| The Australian site data collation to support the GlobalSoilMap R Searle GlobalSoilMap: Basis of the global spatial soil information system, 127–132, 2014 | 38 | 2014 |
| Space-time mapping of soil organic carbon stock and its local drivers: Potential for use in carbon accounting SU Ugbaje, S Karunaratne, T Bishop, L Gregory, R Searle, K Coelli, ... Geoderma 441, 116771, 2024 | 34 | 2024 |
| Updating the Australian digital soil texture mapping (Part 1*): re-calibration of field soil texture class centroids and description of a field soil texture conversion algorithm B Malone, R Searle Soil Research 59 (5), 419-434, 2021 | 32 | 2021 |
| Updating the Australian digital soil texture mapping (Part 2*): spatial modelling of merged field and lab measurements B Malone, R Searle Soil Research 59 (5), 435-451, 2021 | 31 | 2021 |
