110 citations as recorded by crossref.

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38. Topographic wetness guided dairy manure applications to reduce stream nutrient loads in Central New York, USA J. Knighton et al. https://doi.org/10.1016/j.ejrh.2017.11.003
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49. A national-scale high-resolution runoff risk and channel network mapping workflow for diffuse pollution management T. Service et al. https://doi.org/10.1016/j.jenvman.2024.122110
50. Hydrological connectivity affects nitrogen migration and retention in the land‒river continuum Y. Wang et al. https://doi.org/10.1016/j.jenvman.2022.116816
51. Assessing Soil Moisture Patterns Using a Soil Topographic Index in a Humid Region Z. Qiu et al. https://doi.org/10.1007/s11269-017-1640-7
52. Predicting Redox Conditions in Groundwater at a National Scale Using Random Forest Classification A. Tesoriero et al. https://doi.org/10.1021/acs.est.3c07576
53. Topographic wetness index explains soil moisture better than bioindication with Ellenberg’s indicator values M. Raduła et al. https://doi.org/10.1016/j.ecolind.2017.10.011
54. Determination of the relationship among compound Topographic Index (CTI), soil properties and land-use in karst ecosystems T. Dindaroglu et al. https://doi.org/10.1080/02723646.2021.1961361
55. Topography and Traits Modulate Tree Performance and Drought Response in a Tropical Forest N. Schwartz et al. https://doi.org/10.3389/ffgc.2020.596256
56. Identifying Sweet Spots for Green Stormwater Infrastructure Implementation: A Case Study in Lancaster, Pennsylvania R. Yavari Bajehbaj et al. https://doi.org/10.1061/JSWBAY.SWENG-513
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58. Identification and delineation of areas flood hazard using high accuracy of DEM data B. Riadi et al. https://doi.org/10.1088/1755-1315/149/1/012035
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69. Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition M. Kopecký et al. https://doi.org/10.1016/j.scitotenv.2020.143785
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78. Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al. https://doi.org/10.1016/j.ecoinf.2024.102751
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