| Using quantitative electron microscopy for process mineralogy applications P Gottlieb, G Wilkie, D Sutherland, E Ho-Tun, S Suthers, K Perera, ... Jom 52 (4), 24-25, 2000 | 467 | 2000 |
| Utilization of optical image analysis and automatic texture classification for iron ore particle characterisation E Donskoi, SP Suthers, SB Fradd, JM Young, JJ Campbell, TD Raynlyn, ... Minerals Engineering 20 (5), 461-471, 2007 | 101 | 2007 |
| Modelling and optimization of hydrocyclone for iron ore fines beneficiation—using optical image analysis and iron ore texture classification E Donskoi, SP Suthers, JJ Campbell, T Raynlyn International Journal of Mineral Processing 87 (3-4), 106-119, 2008 | 52 | 2008 |
| Iron ore textural information is the key for prediction of downstream process performance E Donskoi, A Poliakov, R Holmes, S Suthers, N Ware, J Manuel, J Clout Minerals Engineering 86, 10-23, 2016 | 45 | 2016 |
| Experimental study on the beneficiation of low-grade iron ore fines using hydrocyclone desliming, reduction roasting and magnetic separation SP Suthers, V Nunna, A Tripathi, J Douglas, S Hapugoda Mineral Processing and Extractive Metallurgy 123 (4), 212-227, 2014 | 34 | 2014 |
| Evaluation of dry grinding using HPGR in closed circuit with an air classifier A Jankovic, S Suthers, T Wills, W Valery Minerals engineering 71, 133-138, 2015 | 32 | 2015 |
| Comparing energy efficiency of multi-pass high pressure grinding roll (HPGR) circuits M Hilden, S Suthers Australasian Institute of Mining and Metallurgy, 2010 | 30 | 2010 |
| Beneficiation strategies for removal of silica and alumina from low-grade hematite-goethite iron ores V Nunna, SP Suthers, MI Pownceby, GJ Sparrow Mineral Processing and Extractive Metallurgy Review 43 (8), 1049-1067, 2022 | 19 | 2022 |
| Utilization of iron ore texture information for prediction of downstream process performance E Donskoi, RJ Holmes, JR Manuel, JJ Campbell, A Poliakov, SP Suthers, ... Proceedings of the 9th International Congress for Applied Mineralogy …, 2008 | 18 | 2008 |
| Prediction of hydrocyclone performance in iron ore beneficiation using texture classification E Donskoi, SP Suthers, JJ Campbell, T Raynlyn, JMF Clout XXIII International Mineral Processing Congress, Istanbul, 1897-1902, 2006 | 17 | 2006 |
| Experimental Study of Dry Desliming Iron Ore Tailings by Air Classification S Suthers, P Pinto, V Nunna, A Nguyen Mineral Processing and Extractive Metallurgy Review, 12, 2019 | 16 | 2019 |
| A new approach to ore characterisation using automated quantitative mineral analysis J Maddren, CV Ly, SP Suthers, AR Butcher, AG Trudu, P Botha Proceedings of the Iron Ore, 131-132, 2007 | 13 | 2007 |
| Prediction of plant process performance using feed characterisation—An emerging tool for plant design and optimisation SP Suthers, JMF Clout, E Donskoi Proceedings of the MetPlant, Perth, Australia, 6-7, 2004 | 10 | 2004 |
| Geometallurgical characterisation of Australian iron ores - from ore to processed product SP Suthers, MI Pownceby, J Manuel, N Ware, E Donskoi, A Poliakov The Third AusIMM International Geometallurgy Conference (GeoMet 2016), 351-360, 2016 | 6 | 2016 |
| Ultrasonic treatment of high phosphorus Australian iron ore fines E Donskoi, SP Suthers, MI Pownceby Minerals Engineering 189, 107914, 2022 | 2 | 2022 |
| Strategies for efficient utilisation of CRL magnetite pellet feed in sintering and pelletising L Lu, M Adam, A Edenton, S Suthers, M Kilburn, R Smyth, B Suann, ... 5th Baosteel Biennial Academic Conference (Baosteel BAC2013), A31-A39, 2013 | 2 | 2013 |
Eugene DonskoiPrincipal Research Scientist, CSIRO Mineral ResourcesVerified email at csiro.au
