New Perspectives in Stochastic Geometry

By Wilfrid S. Kendall, Ilya S. Molchanov. 2010

88 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/17c228c7541c1dec6e223f93f5cd363fd3f10b3b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Volker Schmidt
2. Jakub Stanek
3. Christian Hirsch
4. M. Neumann
5. Viktor Benes

Citations in the corpus

• Estimation of geodesic tortuosity and constrictivity in stationary random closed sets (2018, methodology): “…to understand the geometric properties of the microstructure in materials via statistical analysis and simulation, stochastic geometry has emerged as a powerful, scalable, and versatile framework (see, e.g., Chiu, Stoyan, Kendall, & Mecke, 2013; Kendall & Molchanov, 2010; Ohser & Schladitz, 2009).”