Disordered systems that are self-similar on a broad range of length scales are ubiquitous and often modeled by percolation-type models. The laws that describe transport processes or chemical reactions in these systems are significantly different from those in homogeneous systems. The earlier works of Prof. Havlin, where he discovered several of these important anomalies, had an enormous impact on the development of the whole field and are summarized in the monograph “Diffusion and Reactions in Fractals and Disordered Systems” that he wrote together with his former graduate student Daniel ben-Avraham (Cambridge University Press, 2000). The book describes the anomalous physical laws discovered during 1980–2000 in fractals and disordered systems, many of them by Havlin and his collaborators. His review article (Adv. in Phys. (1987)) was cited more than 1100 times and was chosen by the journal's editors to be published again (Adv. in Phys. (2002)). In 2000, Havlin and his student Reuven Cohen, together with Daniel ben-Avraham developed a novel percolation-type approach and derived the first theory on the stability of realistic complex networks such as the Internet under random breakdown (Phys. Rev. Lett. 85, 4626 (2000)) and intentional attacks (Phys. Rev. Lett. 86, 3682 (2001)). This study is particularly useful for optimizing the stability of networks against intentional attacks and viruses. They also derived a novel result about the “ small world ” nature of complex networks and found that the diameter of scale free networks is significantly smaller and therefore called them “ultrasmall worlds” (Phys. Rev. Lett. 90, 58701 (2003)). Since 2010, Havlin and collaborators have focused heavily on interdependent networks. His paper with collaborators developed the percolation theory of network of networks (Nature, 464, 08932 (2010)) and initiated the current active research field of networks. In 2014, he introduced with collaborators the concept of recovery in percolation theory (Nature Physics, 10, 3438 (2014); Nature Comm., 2016).