Karsten Schmidt

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ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

1. Impacts of species richness on productivity in a large-scale subtropical forest experiment

   2018 · 749 citations

2. Multi-scale digital terrain analysis and feature selection for digital soil mapping

   2009 · 305 citations

3. The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

   2013 · 236 citations

4. Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

   2020 · 223 citations

5. Pedogenesis, permafrost, and soil moisture as controlling factors for soil nitrogen and carbon contents across the Tibetan Plateau

   2009 · 204 citations

6. Spatial modelling with Euclidean distance fields and machine learning

   2018 · 200 citations

7. On the combined effect of soil fertility and topography on tree growth in subtropical forest ecosystems—a study from SE China

   2017 · 175 citations

8. Multi-scale digital soil mapping with deep learning

   2018 · 164 citations

9. Pedogenic and microbial interrelations to regional climate and local topography: New insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile

   2018 · 153 citations

10. Sampling optimal calibration sets in soil infrared spectroscopy

    2014 · 145 citations

11. Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping

    2021 · 129 citations

12. Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

    2020 · 127 citations

13. Hyper-scale digital soil mapping and soil formation analysis

    2013 · 122 citations

14. Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran

    2020 · 118 citations

15. Distance and similarity-search metrics for use with soil vis–NIR spectra

    2012 · 106 citations

16. Bryophyte-dominated biological soil crusts mitigate soil erosion in an early successional Chinese subtropical forest

    2017 · 88 citations

17. The ConMap approach for terrain‐based digital soil mapping

    2009 · 85 citations

18. Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems

    2018 · 77 citations

19. Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines

    2017 · 74 citations

20. Multiscale contextual spatial modelling with the Gaussian scale space

    2017 · 72 citations

21. Instance selection and classification tree analysis for large spatial datasets in digital soil mapping

    2008 · 71 citations

22. Spatial and Temporal Dynamics of Hillslope‐Scale Soil Moisture Patterns: Characteristic States and Transition Mechanisms

    2015 · 71 citations

23. Synthetic resampling strategies and machine learning for digital soil mapping in Iran

    2019 · 70 citations

24. Uncertainty-guided sampling to improve digital soil maps

    2017 · 65 citations

25. The strength of soil-plant interactions under forest is related to a Critical Soil Depth

    2019 · 62 citations

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