Stefan Luding

Computational Mechanics · 2000–2019

A researcher in the Science corpus: 13 papers; trusts 24 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 50 citations into it; #900 of 10,001 by trust here, #1,325 by citations
• Mechanics of Materials — 25 citations into it; #457 of 6,291 by trust here, #1,735 by citations
• Civil and Structural Engineering — 21 citations into it; #1,435 of 6,160 by trust here, #2,294 by citations
• Management, Monitoring, Policy and Law — 14 citations into it; #797 of 2,821 by trust here, #605 by citations
• Ocean Engineering — 8 citations into it; #2,736 of 3,193 by trust here, #2,891 by citations
• Materials Chemistry — 6 citations into it; #9,118 of 11,513 by trust here, #10,983 by citations
• Artificial Intelligence — 5 citations into it

Whom Stefan Luding trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thorsten Pöschel
2. M. Sperl
3. Daniel J. Price
4. A. S. Suiker
5. C. Thornton
6. Joseph J Monaghan
7. J. Gray
8. N. P. Kruyt
9. Isaac Goldhirsch
10. van der M.A. Hoef

Who trusts Stefan Luding overall

1. Orencio Durán
2. Abdalsalam Mohamed
3. Jin Sun
4. M. Jiang
5. S. C. Thakur
6. François Nicot
7. Marte Gutierrez
8. S. Sundaresan
9. J. Gray
10. Zhifu Shen

Papers from Stefan Luding's perspective

Ordered by how strongly the researchers Stefan Luding trusts endorse each paper. Same corpus, a different order for every researcher.

1. Smoothed particle hydrodynamics
2. Numerical simulation of interfacial flows by smoothed particle hydrodynamics
3. Multi-component particle-size segregation in shallow granular avalanches (Journal of Fluid Mechanics)
4. A theory for particle size segregation in shallow granular free-surface flows (Proceedings of the Royal Society A)
5. Analysis of microstructural strain tensors for granular assemblies
6. Analysis of three-dimensional micro-mechanical strain formulations for granular materials: evaluation of accuracy
7. Pattern Recognition and Machine Learning
8. Smoothed particle hydrodynamics and magnetohydrodynamics (Journal of Computational Physics)
9. Variational inference for Dirichlet process mixtures
10. The Infinite Gaussian Mixture Model

Their papers

• MODELING OF PARTICLE SIZE SEGREGATION: CALIBRATION USING THE DISCRETE PARTICLE METHOD (2011) — 154 citations
• An iterative Bayesian filtering framework for fast and automated calibration of DEM models (2019) — 102 citations
• Influence of coarse-graining parameters on the analysis of DEM simulations of silo flow (2016) — 149 citations
• Coarse-grained local and objective continuum description of three-dimensional granular flows down an inclined surface (2013) — 177 citations
• Fluid–particle flow simulations using two-way-coupled mesoscale SPH–DEM and validation (2013) — 197 citations
• Microstructural effects on the permeability of periodic fibrous porous media (2011) — 168 citations
• Analysis of three-dimensional micro-mechanical strain formulations for granular materials: evaluation of accuracy (2010) — 63 citations
• Micro-mechanical analysis of deformation characteristics of three-dimensional granular materials (2010) — 47 citations
• Cohesive, frictional powders: contact models for tension (2008) — 635 citations
• Introduction to discrete element methods (2008) — 292 citations
• Micro¿macro transition for anisotropic, frictional granular packings (2004) — 156 citations
• Discrete element simulations of dense packings and heaps made of spherical and non-spherical particles (2000) — 254 citations
• Macroscopic material properties from quasi-static, microscopic simulations of a two-dimensional shear-cell (2000) — 194 citations