Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Designing mine tailings for better environmental, social and economic outcomes: a review of alternative approaches
2014494 citationsE. Manlapig, D. Bradshaw et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of D. Bradshaw'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. Bradshaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Bradshaw more than expected).
This network shows the impact of papers produced by D. Bradshaw. 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. Bradshaw. The network helps show where D. Bradshaw may publish in the future.
Co-authorship network of co-authors of D. Bradshaw
This figure shows the co-authorship network connecting the top 25 collaborators of D. Bradshaw.
A scholar is included among the top collaborators of D. Bradshaw based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with D. Bradshaw. D. Bradshaw is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Xie, Weiguo, et al.. (2014). New techniques for measuring turbulence in flotation cells. Queensland's institutional digital repository (The University of Queensland).1 indexed citations
4.
Bradshaw, D., et al.. (2014). Communicating and integrating geometallurgical data along the mining value chain. eCite Digital Repository (University of Tasmania).5 indexed citations
Hunt, Julie, RF Berry, & D. Bradshaw. (2011). Characterising liberation and flotation potential using image analysis, simulated fragmentation and small-scale flotation. eCite Digital Repository (University of Tasmania).4 indexed citations
Bradshaw, D., et al.. (2007). Development of a measurement technique for determination of hexagonal and monoclinic pyrrhotite: Evaluation using samples from the Bushveld using QEMSCAN. Queensland's institutional digital repository (The University of Queensland). 20(5). 599–612.1 indexed citations
Bradshaw, D., et al.. (2005). Investigation of surface properties of gangue minerals in platinum bearing ores. Queensland's institutional digital repository (The University of Queensland). 105(5). 349–355.20 indexed citations
Bradshaw, D., et al.. (2003). The effect of copper sulphate addition on the recovery of chromite in the flotation of UG2 ore. Open University of Cape Town (University of Cape Town). 103(2). 143–146.6 indexed citations
Jager, G. de, et al.. (2000). The use of an image processing based sensor for on-line analysis of flotation performance. Queensland's institutional digital repository (The University of Queensland).1 indexed citations
Bradshaw, D., P. Harris, & C.T. O’Connor. (1998). Synergistic interactions between reagents in sulphide flotation. Queensland's institutional digital repository (The University of Queensland). 98(4). 187–192.9 indexed citations
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.