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.
Interpretation of discordant 40Ar/39Ar age-spectra of mesozoic tholeiites from antarctica
1977577 citationsRobert J. Fleck, John F. Sutter et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by David H. Elliot
Since
Specialization
Citations
This map shows the geographic impact of David H. Elliot'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 David H. Elliot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Elliot more than expected).
This network shows the impact of papers produced by David H. Elliot. 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 David H. Elliot. The network helps show where David H. Elliot may publish in the future.
Co-authorship network of co-authors of David H. Elliot
This figure shows the co-authorship network connecting the top 25 collaborators of David H. Elliot.
A scholar is included among the top collaborators of David H. Elliot 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 David H. Elliot. David H. Elliot is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Elliot, David H. & Thomas H. Fleming. (2005). Lavas and Sills in the Ferrar Large Igneous Province: Field and Geochemical Evidence for the Order of Emplacement.. AGUFM. 2005.1 indexed citations
11.
Fleming, Thomas H., et al.. (2005). Geographic Variations in Chilled Margin Chemistry of Jurassic Dolerite Intrusions in the Dry Valley Region of South Victoria Land, Antarctica. AGU Fall Meeting Abstracts. 2005.2 indexed citations
12.
Elliot, David H., et al.. (2003). Mawson Formation at Allan Hills, Antarctica: Evidence for a Large-scale Phreatomagmatic Caldera. AGUFM. 2003.3 indexed citations
Barrett, P. J., et al.. (1986). The Beacon Supergroup (Devonian-Triassic) and Ferrar Group (Jurassic) in the Beardmore Glacier Area, Antarctica . Geology of the basement complex, western Queen Maud Mountains, Antarctica.7 indexed citations
16.
Elliot, David H., Robert J. Fleck, John F. Sutter, & Edmund Stump. (1985). Potassium-argon age determinations of Ferrar Group rocks, central Transantarctic Mountains . Stratigraphy of the Ross Supergroup, central Transantarctic Mountains.1 indexed citations
17.
Nairn, A.E.M., et al.. (1984). The paleomagnetic investigation of flows and sills from the Queen Alexandra Range, Antarctica . Central Transantarctic Mountains nonmarine deposits . Geology of Coalsack Bluff, Antarctica . Triassic stratigraphy of the Shackleton Glacier area.1 indexed citations
Schaeffer, Bobb & David H. Elliot. (1972). A Jurassic fish from Antartica. American Museum novitates ; no. 2495. American Museum Novitates.5 indexed citations
20.
Elliot, David H. & Paul Tasch. (1967). Lioestheriid conchostracans; a new Jurassic locality and regional and Gondwana correlations. Journal of Paleontology. 41(6). 1561–1563.8 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.