12 citations as recorded by crossref.

1. Method for Quantification of Fatty Acids in Ice Cores and Sea-Ice Cores Using Liquid Chromatography High-Resolution Mass Spectrometry S. Johnson et al. 10.1021/acsmeasuresciau.4c00054
2. Visual Stratigraphy-Based Age Scale Developed for the Shallow Mount Siple Firn Core, Antarctica J. Brown et al. 10.3390/geosciences13030085
3. Investigating halogens and MSA in the Southern Hemisphere: A spatial analysis D. Segato et al. 10.1016/j.atmosenv.2023.120279
4. Resolution enhancement and segmentation of polar bubbly ice micro CT scans via 3D convolutional neural network F. Bagherzadeh et al. 10.1016/j.acags.2024.100193
5. Regional variability of diatoms in ice cores from the Antarctic Peninsula and Ellsworth Land, Antarctica D. Tetzner et al. 10.5194/tc-16-779-2022
6. Review article: Existing and potential evidence for Holocene grounding line retreat and readvance in Antarctica J. Johnson et al. 10.5194/tc-16-1543-2022
7. Resolution Enhancement of Polar Ice Core Micro CT Scans via Deep Learning: A Comparative Study F. Bagherzadeh et al. 10.1109/ACCESS.2024.3504726
8. The first firn core from Peter I Island – capturing climate variability across the Bellingshausen Sea E. Thomas et al. 10.5194/cp-20-2525-2024
9. An Age Scale for the First Shallow (Sub-)Antarctic Ice Core from Young Island, Northwest Ross Sea D. Moser et al. 10.3390/geosciences11090368
10. An improved retrieval method for liquid water content of the Antarctic ice sheet using SMOS data Y. Zhou et al. 10.1080/10106049.2025.2480306
11. Review article: Melt-affected ice cores for polar research in a warming world D. Moser et al. 10.5194/tc-18-2691-2024
12. Ice-Core Micro-CT Image Segmentation With Deep Learning and Gaussian Mixture Model F. Bagherzadeh et al. 10.1109/TGRS.2023.3334867