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 →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of E. Manlapig'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 E. Manlapig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Manlapig more than expected).
This network shows the impact of papers produced by E. Manlapig. 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 E. Manlapig. The network helps show where E. Manlapig may publish in the future.
Co-authorship network of co-authors of E. Manlapig
This figure shows the co-authorship network connecting the top 25 collaborators of E. Manlapig.
A scholar is included among the top collaborators of E. Manlapig 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 E. Manlapig. E. Manlapig is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Shi, Fengnian, E. Manlapig, & Weiran Zuo. (2013). Research on electrical comminution by high voltage pulses undertaken at the JKMRC. Queensland's institutional digital repository (The University of Queensland). 255–258.1 indexed citations
5.
Evans, C.L., et al.. (2013). Simulating concentrators from feed to final products using a multi-component methodology. Queensland's institutional digital repository (The University of Queensland). 490.7 indexed citations
Coleman, Robert G., J.-P. Franzidis, & E. Manlapig. (2007). Validation of the AMIRA P9 flotation model using the floatability Characterisation Test Rig (FCTR). Queensland's institutional digital repository (The University of Queensland). 67–78.2 indexed citations
11.
Franzidis, J.-P., et al.. (2006). Assessment of reagent and regrinding in a flotation circuit. Wiener klinische Wochenschrift. 80(43). 195–205.1 indexed citations
Manlapig, E., et al.. (2005). The effect of residence time and aeration on coal recovery within the high density zone of a flotation machine. Queensland's institutional digital repository (The University of Queensland). 449–456.1 indexed citations
14.
Franzidis, J.-P., et al.. (2005). Modelling of froth transportation in an Outokumpu 3m3 tank cell. Queensland's institutional digital repository (The University of Queensland). 385–393.1 indexed citations
Manlapig, E., et al.. (2002). Particle collection within the Jameson cell downcomer. Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy Section C. 111(1). 1–10.22 indexed citations
17.
Franzidis, J.-P., et al.. (2001). Estimation of froth zone recovery in flotation cells. Queensland's institutional digital repository (The University of Queensland). 1(2). 259–263.1 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.