Sabine Grunwald
Environmental Engineering · 2001–2018
A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 68 citations into it; #1,034 of 5,479 by trust here, #1,728 by citations
- Artificial Intelligence — 27 citations into it
- Civil and Structural Engineering — 24 citations into it; #1,190 of 6,160 by trust here, #3,212 by citations
- Soil Science — 22 citations into it; #273 of 2,166 by trust here, #1,277 by citations
- Analytical Chemistry — 17 citations into it
- Management, Monitoring, Policy and Law — 15 citations into it
- Ecology — 12 citations into it
- Mechanical Engineering — 7 citations into it
Whom Sabine Grunwald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex B. McBratney
- Budiman Minasny
- Kamban Parasuraman
- Clovis Grinand
- Leo Breiman
- Niko Speybroeck
- Weidong Li
- Yakov A. Pachepsky
- M. L. M. Santos
- Amin Elshorbagy
Who trusts Sabine Grunwald overall
- Budiman Minasny
- Amin Sharififar
- José Padarian
- Alex B. McBratney
- Fereydoon Sarmadian
- Brendan P. Malone
- Dick Brus
- Bas Kempen
- Gerard B. M. Heuvelink
- Peter Finke
Papers from Sabine Grunwald's perspective
Ordered by how strongly the researchers Sabine Grunwald trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
- From pedotransfer functions to soil inference systems
- Environmental Soil-Landscape Modeling: Geographic Information Technologies and Pedometrics
- Soil and human security in the 21st century (Science)
- Greedy function approximation: A gradient boosting machine.
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- Using data mining to model and interpret soil diffuse reflectance spectra.
- Using Pedotransfer Functions to Estimate the van Genuchten–Mualem Soil Hydraulic Properties: A Review
- A Simplex Method for Function Minimization
Their papers
- A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra (2018) — 241 citations
- Regression kriging as a workhorse in the digital soil mapper's toolbox (2018) — 127 citations
- Two preprocessing techniques to reduce model covariables in soil property predictions by Vis-NIR spectroscopy (2017) — 73 citations
- Multi-criteria characterization of recent digital soil mapping and modeling approaches (2009) — 332 citations
- Development of pedotransfer functions for a profile cone penetrometer (2001) — 47 citations