Hilmar von Eynatten

Full Professor

Georg-August-Universität Göttingen Geowissenschaftliches Zentrum

Germany

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Hilmar von Eynatten is a Full Professor at Georg-August-Universität Göttingen Geowissenschaftliches Zentrum, Germany. His research focuses on sediment provenance, detrital geochronology, and the geological evolution of sedimentary basins, as evidenced by his recent articles on heavy-mineral assemblages, sediment transport processes, and the reconstruction of source-to-sink systems in various geological contexts. He contributes significantly to understanding the implications of sedimentary processes on paleogeography and geochronological frameworks.

Hilmar von Eynatten

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Articles (17)

Inherited Grain-Size Distributions: Effect on Heavy-Mineral Assemblages in Modern and Ancient Sediments

Zircon U-Pb-He Double Dating of Modern Sands From the Inn River Catchment: Assessing Resolution and Potential in a Complex Orogenic Setting

Intra‐Seasonal Variability in Sediment Provenance and Transport Processes in the Brahmaputra Basin

Cretaceous source to sink system reconstruction of northeastern Asian continental margin: Insight from integrated detrital geochronology in NE China

Origin, timing and paleogeographic implications of Paleogene karst bauxites in the northern Transdanubian range, Hungary

A time-space window between Eocene karst bauxite genesis and the first molasse deposition in the Dinaric Foreland Basin in the North Dalmatia, Croatia

Detrital garnet petrology challenges Paleoproterozoic ultrahigh-pressure metamorphism in western Greenland

From Outcrop to Spectrum—An Automated Approach to Modal Mineralogy of Silt-Sized Sediment Applied to Central European Loess

Heavy mineral constraints on the evolution and provenance of upper Permian and lower Triassic siliciclastic deposits of the Central European Basin

Provenance changes revealed by a multi-proxy approach to sandstone analysis and its implications on palaeogeography: Mesozoic Kutch Basin, India

Correction to: Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier (Contributions to Mineralogy and Petrology, (2021), 176, 12, (98), 10.1007/s00410-021-01854-w)

Late Cretaceous-Tertiary tectonic inversion of northeastern Asian continental margin: Insight from the low temperature thermochronology in NE China

The sedimentary record of ultrahigh-pressure metamorphism: a perspective review

Assessing sediment accumulation at inundated anthropogenic marshland in the southeastern North Sea: Using particle tracking on modified coastal protection structures

Detrital zircon geochronology and heavy mineral analysis as complementary provenance tools in the presence of extensive weathering, reworking and recycling: The Neogene of the southern North Sea Basin

Garnet major-element composition as an indicator of host-rock type: a machine learning approach using the random forest classifier

Garnet sand reveals rock recycling processes in the youngest exhumed high- And ultrahigh-pressure terrane on Earth

Collaborators (3)

István Dunkl

Nils Keno Lünsdorf

Arne Arns

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