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Cited by 373

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.

THE IMPORTANCE OF PĀHOEHOE

Self, S., Keszthelyi, L., Thordarson, Th.·1998·Annual Review of Earth and Planetary Sciences

Abstract

▪ Abstract Pahoehoe lava flows are common in every basaltic province, and their submarine variants, pillow lavas and sheet flows, cover the bulk of the Earth. Pahoehoe flows are emplaced by inflation—the injection of molten lava underneath a solidified crust. Only in the past few years has an understanding of the inflation process and the ability to recognize ancient inflated lava flows been achieved. All large terrestrial basaltic flow fields studied to date, including flood basalts, were emplaced as thermally efficient, inflated, compound pahoehoe sheet flows. This leads us to propose that this is the standard way of emplacing large lavas (the SWELL hypothesis). The atmospheric impact of such flood basalt eruptions could have been protracted and severe, providing a plausible link between flood basalt eruptions and mass extinctions.

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Crossref · 10.1146/annurev.earth.26.1.81

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Metadata

Authors
Self, S., Keszthelyi, L., & Thordarson, T.
Venue
Annual Review of Earth and Planetary Sciences
Published
1998-05
Volume
26
Issue
1
Pages
81-110
ISSN
  • 0084-6597 (ISSN-L)
  • 1545-4495
OpenAlex
W2073774075
Cited by
373
References
54
FWCI
3.88
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: THE IMPORTANCE OF PĀHOEHOE. https://app.cochat.ai/papers/10.1146/annurev.earth.26.1.81
The paper
Self, S., Keszthelyi, L., & Thordarson, T. (1998). THE IMPORTANCE OF PĀHOEHOE. Annual Review of Earth and Planetary Sciences. https://doi.org/10.1146/annurev.earth.26.1.81

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.