S. Grünewald
2001–2016
A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom S. Grünewald trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts S. Grünewald overall
- R. Yu
- Vahid Afroughsabet
- P. Spiesz
- Luigi Biolzi
- H. Brouwers
- A. Blanco
- Togay Ozbakkaloglu
- A. Aguado
- J. Walraven
- Pablo Pujadas
Papers from S. Grünewald's perspective
Ordered by how strongly the researchers S. Grünewald trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting the pullout response of inclined hooked steel fibers
- Characterisation of fibres distribution in a steel fibre reinforced concrete with electrical resistivity measurements
- The Nature of Statistical Learning Theory
- On flow properties, fibre distribution, fibre orientation and flexural behaviour of FRC
- Statistical Learning Theory
- Cracking behaviour of concrete beams reinforced with a combination of ordinary reinforcement and steel fibers
- Ridge Regression Learning Algorithm in Dual Variables
- Knowledge-based analysis of microarray gene expression data by using support vector machines. (Proceedings of the National Academy of Sciences of the United States of America)
- A Hilbert Space Embedding for Distributions
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Modelling the fresh properties of self-compacting concrete using support vector machine approach (2016) — 109 citations
- Framework to predict the orientation of fibers in FRC: A novel philosophy (2012) — 145 citations
- Characterization of the orientation profile of steel fiber reinforced concrete (2011) — 141 citations
- Performance-based design of self-compacting fibre reinforced concrete (2004) — 288 citations
- Parameter-study on the influence of steel fibers and coarse aggregate content on the fresh properties of self-compacting concrete (2001) — 232 citations