17 citations as recorded by crossref.

1. Uncertainty analysis of sediment size estimations in gravel-bed reaches in Southern Brazil F. Zambrano et al.
2. Automated detecting, segmenting and measuring of grains in images of fluvial sediments: The potential for large and precise data from specialist deep learning models and transfer learning D. Mair et al.
3. La mesure granulométrique par imagerie en contexte torrentiel : apports et perspectives des nouvelles méthodes par intelligence artificielle J. Berthet et al.
4. Measuring the grain‐size distributions of mass movement deposits E. Harvey et al.
5. Comparison of three grain size measuring methods applied to coarse-grained gravel deposits P. Garefalakis et al.
6. The variability of grain size metrics in gravel-bed rivers D. Vázquez-Tarrío & A. Recking
7. Tracking Downstream Variability in Large Grain‐Size Distributions in the South‐Central Andes B. Purinton & B. Bookhagen
8. A Field Imagery and Measurement Dataset for Grain-size Analysis of Riverbed Gravels in the Mid-Geum River H. Yoon et al.
9. Grain size of fluvial gravel bars from close-range UAV imagery – uncertainty in segmentation-based data D. Mair et al.
10. Terrain‐derived measures for basin conservation and restoration planning J. Matt et al.
11. Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3D point clouds P. Steer et al.
12. Downstream fining of fluvial gravels along the eastern Tibetan Plateau rivers Z. Ma et al.
13. Roughness Calibration to Improve Flow Predictions in Coarse‐Bed Streams R. Ferguson
14. An Integrated Framework for the Assessment of Meso‐Scale Physical Habitats in Gravel‐Bed Rivers Using Remote Sensing and 2D Hydraulic Modeling D. Farò et al.
15. How many microplastics do you need to (sub)sample? W. Cowger et al.
16. Localised geomorphic response to channel-spanning leaky wooden dams J. Wolstenholme et al.
17. Surface grain-size mapping of braided channels from SfM photogrammetry L. Ribet et al.