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.
Groundwater chemistry and the Gibbs Diagram
2018306 citationsPaul Shand et al.Applied Geochemistryprofile →
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 Paul Shand'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 Paul Shand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Shand more than expected).
This network shows the impact of papers produced by Paul Shand. 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 Paul Shand. The network helps show where Paul Shand may publish in the future.
Co-authorship network of co-authors of Paul Shand
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Shand.
A scholar is included among the top collaborators of Paul Shand 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 Paul Shand. Paul Shand is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fitzpatrick, R. W., et al.. (2016). Assessment of Acid Sulfate Soil materials in Ramsar wetlands of the Murray Darling Basin: Banrock Station Wetland Complex.. Queensland's institutional digital repository (The University of Queensland).
Fitzpatrick, R. W., et al.. (2012). A modern soil-landscape characterization approach to reconstructing and predicting pedogenic pathways of inland acid sulfate soils. Adelaide Research & Scholarship (AR&S) (University of Adelaide).3 indexed citations
10.
Fitzpatrick, R. W., Paul Shand, R. H. Merry, et al.. (2008). Acid sulfate soils in the Coorong, Lake Alexandrina and Lake Albert: properties, distribution, genesis, risks and management of subaqueous, waterlogged and drained soil environments.. Queensland's institutional digital repository (The University of Queensland).5 indexed citations
Blöschl, Günter, Sandra Ardoin‐Bardin, Mike Bonell, et al.. (2006). UNESCO Working Group on the impacts of climate variability and land-cover change on flooding and low flows as a function of scale. Publication Database GFZ (GFZ German Research Centre for Geosciences). 667–671.2 indexed citations
Shand, Paul, et al.. (2002). Baseline report series. 3, the Permo-Triassic sandstones of south Staffordshire and north Worcestershire. NERC Open Research Archive (Natural Environment Research Council).2 indexed citations
17.
Shand, Paul, et al.. (2002). Baseline report series. 1, the Triassic sandstones of the Vale of York. NERC Open Research Archive (Natural Environment Research Council).2 indexed citations
Rock, N. M. S., Jamie Gaskarth, P. J. Henney, & Paul Shand. (1988). Late Caledonian dyke-swarms of northern Britain; some preliminary petrogenetic and tectonic implications of their province-wide distribution and chemical variation. The Canadian Mineralogist. 26(1). 3–22.29 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.