32 citations as recorded by crossref.

1. Modelling differential catchment response to environmental change T. Coulthard et al. https://doi.org/10.1016/j.geomorph.2005.01.008
2. Quantifying fluvial non linearity and finding self organized criticality? Insights from simulations of river basin evolution T. Coulthard & M. Van De Wiel https://doi.org/10.1016/j.geomorph.2007.04.011
3. Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran M. Asadi et al. https://doi.org/10.1007/s13201-025-02361-0
4. Can uncertain landscape evolution models discriminate between landscape responses to stable and changing future climate? A millennial-scale test A. Temme et al. https://doi.org/10.1016/j.gloplacha.2009.08.001
5. A new treatment of depression for drainage network extraction based on DEM Y. Wang et al. https://doi.org/10.1007/s11629-009-0228-y
6. Exploring the role of rainfall variability and extreme events in long-term landscape development J. Baartman et al. https://doi.org/10.1016/j.catena.2013.05.003
7. Geomorphology Fluid Flow Modelling: Can Fluvial Flow Only Be Modelled Using a Three‐Dimensional Approach? R. Hardy https://doi.org/10.1111/j.1749-8198.2007.00084.x
8. How sensitive are river systems to climate and land‐use changes? A model‐based evaluation T. Coulthard & M. Macklin https://doi.org/10.1002/jqs.604
9. Crossing the divide: Representation of channels and processes in reduced-complexity river models at reach and landscape scales A. Nicholas & T. Quine https://doi.org/10.1016/j.geomorph.2006.10.026
10. A cellular model of Holocene upland river basin and alluvial fan evolution T. Coulthard et al. https://doi.org/10.1002/esp.318
11. Algorithm for dealing with depressions in dynamic landscape evolution models A. Temme et al. https://doi.org/10.1016/j.cageo.2005.08.001
12. Downstream fining, selective transport, and hillslope influence on channel bed sediment in mountain streams, Colorado Front Range, USA F. Menting et al. https://doi.org/10.1016/j.geomorph.2015.03.018
13. Sediment yield model implementation based on check dam infill stratigraphy in a semiarid Mediterranean catchment G. Bussi et al. https://doi.org/10.5194/hess-17-3339-2013
14. Multi‐process Late Quaternary landscape evolution modelling reveals lags in climate response over small spatial scales A. Temme & A. Veldkamp https://doi.org/10.1002/esp.1758
15. Developing, choosing and using landscape evolution models to inform field‐based landscape reconstruction studies A. Temme et al. https://doi.org/10.1002/esp.4162
16. Sources, mineralogy, chemistry and fate ofheavy metal-bearing particles in mining-affected river systems K. Hudson-Edwards https://doi.org/10.1180/0026461036720095
17. Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis K. Barnhart et al. https://doi.org/10.1029/2018JF004961
18. Geographical information science: GeoComputation and nonstationarity P. Atkinson https://doi.org/10.1177/030913330102500106
19. Modelling geomorphic response to environmental change in an upland catchment T. Coulthard et al. https://doi.org/10.1002/1099-1085(20000815/30)14:11/12<2031::AID-HYP53>3.0.CO;2-G
20. The sensitivity of landscape evolution models to spatial and temporal rainfall resolution T. Coulthard & C. Skinner https://doi.org/10.5194/esurf-4-757-2016
21. Landscape Evolution Modelling of naturally dammed rivers W. van Gorp et al. https://doi.org/10.1002/esp.3547
22. Cellular modelling of river catchments and reaches: Advantages, limitations and prospects T. Coulthard et al. https://doi.org/10.1016/j.geomorph.2006.10.030
23. Reduced-complexity, physically-based geomorphological modelling for catchment and river management J. Brasington & K. Richards https://doi.org/10.1016/j.geomorph.2006.10.028
24. Holocene environmental change in the Yorkshire Ouse basin and its influence on river dynamics and sediment fluxes to the coastal zone M. Macklin et al. https://doi.org/10.1144/GSL.SP.2000.166.01.06
25. Reconstructing temporal changes and prediction of channel evolution in a large Alpine river: the Tagliamento river, Italy L. Ziliani & N. Surian https://doi.org/10.1007/s00027-015-0431-6
26. Evaluating choices in multi-process landscape evolution models A. Temme et al. https://doi.org/10.1016/j.geomorph.2010.10.007
27. A cellular automata model for simulating the evolution of positive–negative terrains in a small loess watershed M. Cao et al. https://doi.org/10.1080/13658816.2012.756882
28. Cellular automata as analysis and synthesis engines at the geomorphology–ecology interface M. Fonstad https://doi.org/10.1016/j.geomorph.2006.01.006
29. Numerical Modelling of Braided River Morphodynamics: Review and Future Challenges R. Williams et al. https://doi.org/10.1111/gec3.12260
30. Reduced-complexity modeling of braided rivers: Assessing model performance by sensitivity analysis, calibration, and validation L. Ziliani et al. https://doi.org/10.1002/jgrf.20154
31. Simulation of birdfoot delta formation with application to the Mississippi Delta H. Seybold et al. https://doi.org/10.1029/2009JF001248
32. Testing the sensitivity of the CAESAR-Lisflood landscape evolution model to grid cell size C. Skinner & T. Coulthard https://doi.org/10.5194/esurf-11-695-2023