Greenʹs functions in non-hermitian random matrix models

We review some recent techniques for dealing with non-hermitian random matrix models based on generalized Greenʹs functions. We introduce the diagrammatic methods in the hermitian case and generalize them to the non-hermitian case. The results are illustrated in terms of the eigenvalue distribution, eigenvector statistics and addition laws.