D. Curry
Impact in
- Water Science and Technology top 5%
- Minerals Flotation and Separation Techniques
- Computational Mechanics top 5%
- Granular flow and fluidized beds
Papers in
-
- Mineral Processing and Grinding 8
- Extraction and Separation Processes 1
- Advanced machining processes and optimization 1
- Non-Destructive Testing Techniques 1
-
- Minerals Flotation and Separation Techniques 6
- Co-authors
- Runyu Yang (4 shared papers)C.T. Jayasundara (4 shared papers)Aibing Yu (4 shared papers)Michael Young (3 shared papers)Newell W. Johnson (2 shared papers)Feng Shi (1 shared paper)
- Journals
- Minerals Engineering (3 papers)Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy Section C (1 paper)Industrial & Engineering Chemistry Research (1 paper)Chemical Engineering Journal (1 paper)Queensland's institutional digital repository (The University of Queensland) (2 papers)
- Partner nations
- Australia
In The Last Decade
D. Curry
7 papers receiving 321 citations
Peers
Comparison fields: 5 of 32
- Water Science and Technology 183
- Computational Mechanics 174
- Mechanical Engineering 269
- Ocean Engineering 43
- Biomedical Engineering 100
Countries citing papers authored by D. Curry
This map shows the geographic impact of D. Curry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Curry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Curry more than expected).
Fields of papers citing papers by D. Curry
This network shows the impact of papers produced by D. Curry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Curry. The network helps show where D. Curry may publish in the future.
Co-authors
The 6 scholars most cited alongside D. Curry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 102 | |
| 2 | 2006 | 80 | |
| 3 | 2007 | 75 | |
| 4 | 2006 | 47 | |
| 5 | 2011 | 18 | |
| 6 | 2010 | 12 | |
| 7 | Improving fines recovery by grinding finer | 2004 | 8 |
| 8 | Autogenous and inert milling using the ISA mill | 2006 | 0 |
About D. Curry
D. Curry is a scholar working on Mechanical Engineering, Water Science and Technology, Computational Mechanics, Control and Systems Engineering and Infectious Diseases, having authored 8 papers that have together received 342 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (8 papers), Minerals Flotation and Separation Techniques (6 papers), Granular flow and fluidized beds (4 papers), Extraction and Separation Processes (1 paper), Advanced machining processes and optimization (1 paper), Non-Destructive Testing Techniques (1 paper) and Mining Techniques and Economics (1 paper). The work is most often cited by research in Water Science and Technology (183 citations), Computational Mechanics (174 citations), Mechanical Engineering (269 citations), Ocean Engineering (43 citations) and Biomedical Engineering (100 citations). D. Curry has collaborated with scholars based in Australia. Frequent co-authors include Runyu Yang, C.T. Jayasundara, Aibing Yu, Michael Young, Newell W. Johnson and Feng Shi. Their work appears in journals such as Minerals Engineering, Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy Section C, Industrial & Engineering Chemistry Research, Chemical Engineering Journal and Queensland's institutional digital repository (The University of Queensland).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.