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.
Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
2022134 citationsLyndon Smith, Melvyn Smith et al.Computer Methods and Programs in Biomedicineprofile →
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 Melvyn Smith'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 Melvyn Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melvyn Smith more than expected).
This network shows the impact of papers produced by Melvyn Smith. 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 Melvyn Smith. The network helps show where Melvyn Smith may publish in the future.
Co-authorship network of co-authors of Melvyn Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Melvyn Smith.
A scholar is included among the top collaborators of Melvyn Smith 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 Melvyn Smith. Melvyn Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Smith, Lyndon, et al.. (2022). Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective. Computer Methods and Programs in Biomedicine. 220. 106773–106773.134 indexed citations breakdown →
Howell, S. M., Melvyn Smith, & Richard Otis. (2020). Europa's Likely Icy Thickness: Pulling Ice Shells Out of a Hat. Lunar and Planetary Science Conference. 2957.1 indexed citations
Smith, Melvyn, et al.. (2003). The use of mixed integer linear programming for long-term scheduling in block caving mines. Queensland's institutional digital repository (The University of Queensland). 27(2). 123–131.20 indexed citations
15.
Smith, Melvyn. (1999). Optimizing inventory stockpiles and mine production: An application of separable and goal programming to phosphate mining using AMPL/Cplex. Queensland's institutional digital repository (The University of Queensland). 92(1030). 61–64.15 indexed citations
Smith, Melvyn. (1974). The normal modes of a rotating, elliptical earth. PhDT.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.