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 the design of experiments (DOE) – An investigation on the influence of different factorial designs on the characterization of complex systems
2021242 citationsA. Janković, Gaurav Chaudhary 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 A. Janković'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 A. Janković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Janković more than expected).
This network shows the impact of papers produced by A. Janković. 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 A. Janković. The network helps show where A. Janković may publish in the future.
Co-authorship network of co-authors of A. Janković
This figure shows the co-authorship network connecting the top 25 collaborators of A. Janković.
A scholar is included among the top collaborators of A. Janković 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 A. Janković. A. Janković is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Valery, W., et al.. (2015). Diagnosis of process health, it's treatment and improvement to maximise plant throughput at Goldfields Cerro Corona. Queensland's institutional digital repository (The University of Queensland).3 indexed citations
Janković, A., et al.. (2013). Effect of classification efficiency on HPGR and ball mill circuit capacity. Queensland's institutional digital repository (The University of Queensland).1 indexed citations
11.
Valery, W., et al.. (2012). Using process integration & optimization to provide integrated process solutions for mining operations, from mine to mill. 2224–2234.2 indexed citations
12.
Valery, W., et al.. (2011). Yanacocha Gold single stage SAG mill design, operation and optimisation. Queensland's institutional digital repository (The University of Queensland).1 indexed citations
Janković, A., et al.. (2006). Improving overall concentrator performance with stirred milling. Queensland's institutional digital repository (The University of Queensland). 1950–1955.1 indexed citations
Janković, A. & W. Valery. (2002). MINE TO MILL OPTIMISATION FOR CONVENTIONAL GRINDING CIRCUITS - A SCOPING STUDY. Queensland's institutional digital repository (The University of Queensland). 38. 49–66.7 indexed citations
Janković, A.. (2000). Fine grinding in Australian minerals industry. Queensland's institutional digital repository (The University of Queensland). 36. 51–61.3 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.