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.
The key role of mica during igneous concentration of tantalum
2014275 citationsAleksandr S. Stepanov, John Mavrogenes et al.Contributions to Mineralogy and Petrologyprofile →
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 Davidson'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 Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Davidson more than expected).
This network shows the impact of papers produced by Paul Davidson. 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 Davidson. The network helps show where Paul Davidson may publish in the future.
Co-authorship network of co-authors of Paul Davidson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Davidson.
A scholar is included among the top collaborators of Paul Davidson 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 Davidson. Paul Davidson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Davidson, Paul, et al.. (2017). POPULARITY OF VARIOUS TEACHING METHODS IN A POST-SECONDARY BIOLOGY CLASS OF A MALAYSIAN PRIVATE INSTITUTION. The Journal of Teaching and Learning. 8(1). 1–25.3 indexed citations
Thomas, Rainer & Paul Davidson. (2014). Liquid immiscibility - important processes during pegmatite formation. eCite Digital Repository (University of Tasmania).2 indexed citations
9.
Stepanov, Aleksandr S., John Mavrogenes, Sebastién Meffre, & Paul Davidson. (2014). The key role of mica during igneous concentration of tantalum. Contributions to Mineralogy and Petrology. 167(6).275 indexed citations breakdown →
Schermerhorn, John R., et al.. (2011). Management 4th Asia-Pacific Edition. UWA Profiles and Research Repository (University of Western Australia).3 indexed citations
Thomas, Rainer & Paul Davidson. (2008). Water and melt/melt immiscibility, the essential components in the formation of pegmatites; evidence from melt inclusions. UTAS Research Repository.23 indexed citations
16.
Becker, Karen & Paul Davidson. (2007). Individual And Organisational Dimensions Of Change Management For IHRD. QUT ePrints (Queensland University of Technology).1 indexed citations
17.
Thomas, Rainer, Christian Schmidt, Ilya V. Veksler, Paul Davidson, & Hartmut Beurlen. (2006). The formation of peralkaline pegmatitic melt fractions: Evidence from melt and fluid inclusion studies. Publication Database GFZ (GFZ German Research Centre for Geosciences).2 indexed citations
18.
Thomas, Rainer & Paul Davidson. (2006). Progress in the determination of water in glasses and melt inclusions with Raman spectroscopy: A short review. eCite Digital Repository (University of Tasmania).17 indexed citations
Davidson, Paul. (1979). Oil price decontrol debate: what is the energy crisis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 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.