Cited by 19Ancient Egypt and ArchaeologyArchaeology and ancient environmental studiesGeology and Paleoclimatology Research

The 4.2 ka BP climate event in Egypt: integration of archaeological, geoarchaeological, and bioarchaeological evidence

Younes, Mohamed A., Bakry, Aboualhassan·2022·African Archaeological Review

Integrity signals

Registry

Crossref · 10.1007/s10437-022-09487-5

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • The results underscore the congruence between the 4.2 ka aridification event around 2250 BCE and the political fragmentation that concluded the Old Kingdom, instigating the First Intermediate Period.

    “Our results also continue to underscore the congruence between the 4.2 ka aridification event (c. 2250 BCE) and the political fragmentation that concluded the OK (instigating the First Intermediate Period, FIP) [60,61].”

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Authors
Younes, M. A., & Bakry, A.
Affiliations
Cairo University (EG)
Corresponding author
  • Younes, Mohamed A.
  • Bakry, Aboualhassan
Venue
African Archaeological Review
Published
2022-09
Volume
39
Issue
3
Pages
315-344
ISSN
  • 0263-0338 (ISSN-L)
  • 1572-9842
OpenAlex
W4294391026
Cited by
19
References
1
Citations by year
2026: 3 · 2025: 6 · 2024: 4 · 2023: 6
FWCI
22.05
Type
journal article
Language
en
Open access
closed
Locations
African Archaeological Review (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › Archeology › Ancient Egypt and Archaeology
  • Physical Sciences › Earth and Planetary Sciences › Paleontology › Archaeology and ancient environmental studies
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
Keywords
global drought, aridification, aeolian desertification, crop yield, famine, First Intermediate Period, political fragmentation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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