Thomas Scholten
Soil Science · 2010–2022
A researcher in the Science corpus: 14 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Soil Science — 63 citations into it
- Environmental Engineering — 61 citations into it; #2,499 of 5,479 by trust here, #1,593 by citations
- Artificial Intelligence — 35 citations into it
- Civil and Structural Engineering — 22 citations into it; #3,297 of 6,160 by trust here, #2,524 by citations
- Statistics and Probability — 17 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Genetics — 8 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Thomas Scholten trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Thomas Scholten overall
- Budiman Minasny
- Alex B. McBratney
- Alexandre M. J.-C. Wadoux
- Yones Khaledian
- Bradley A. Miller
- Igor V. Florinsky
Papers from Thomas Scholten's perspective
Ordered by how strongly the researchers Thomas Scholten trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Wrappers for Feature Subset Selection
- Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
- Irrelevant Features and the Subset Selection Problem
- The Random Subspace Method for Constructing Decision Forests
- An Extensive Empirical Study of Feature Selection Metrics for Text Classification
- A General Coefficient of Similarity and Some of Its Properties
- Changes in variance and correlation of soil properties with scale and location: analysis using an adapted maximal overlap discrete wavelet transform
- Classification and regression trees
- Selection of Relevant Features and Examples in Machine Learning
Their papers
- Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates (2022) — 183 citations
- Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps (2020) — 56 citations
- Impacts of species richness on productivity in a large-scale subtropical forest experiment (2018) — 618 citations
- Uncertainty-guided sampling to improve digital soil maps (2017) — 52 citations
- Soil and tree species traits both shape soil microbial communities during early growth of Chinese subtropical forests (2016) — 90 citations
- Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping (2016) — 47 citations
- Predictive soil mapping with limited sample data (2015) — 126 citations
- Sampling optimal calibration sets in soil infrared spectroscopy (2014) — 136 citations
- Designing forest biodiversity experiments: general considerations illustrated by a new large experiment in subtropical China (2014) — 282 citations
- Linking N2O emissions from biochar-amended soil to the structure and function of the N-cycling microbial community (2013) — 628 citations
- Distance and similarity-search metrics for use with soil vis-NIR spectra (2013) — 85 citations
- Storage, patterns, and control of soil organic carbon and nitrogen in the northeastern margin of the Qinghai–Tibetan Plateau (2012) — 150 citations
- Community assembly during secondary forest succession in a Chinese subtropical forest (2011) — 260 citations
- Multi-scale digital terrain analysis and feature selection for digital soil mapping (2010) — 295 citations