activity
20032013
most citedVolatility of Linear and Nonlinear Time Series

61 citations · 249 across the 8 of their papers we have counts for

collaborators

8 papers

q-bio.OT2013

Designing the statistically optimal drug for cancer therapy

Patrick N. Lawlor, Tomer Kalisky, Stephen Quake +3

Cancer and healthy cells have distinct distributions of molecular properties and thus respond differently to drugs. Cancer drugs ideally kill cancer cells while limiting harm to he…

cond-mat.mes-hall2005★ 56 cited

Localization transition on complex networks via spectral statistics

M. Sade, T. Kalisky, S. Havlin +1

The spectral statistics of complex networks are numerically studied. The features of the Anderson metal-insulator transition are found to be similar for a wide range of different n…

cond-mat.dis-nn2005★ 57 cited

Width of percolation transition in complex networks

Tomer Kalisky, Reuven Cohen

It is known that the critical probability for the percolation transition is not a sharp threshold, actually it is a region of non-zero width for systems of finite size. Here…

cond-mat.dis-nn2005

Scaling of optimal-path-lengths distribution in complex networks

Tomer Kalisk, Lidia A. Braunstein, Sergey V. Buldyrev +2

We study the distribution of optimal path lengths in random graphs with random weights associated with each link (``disorder''). With each link we associate a weight $τ_i = \ex…

cond-mat.dis-nn2005★ 18 cited

Scale-Free Networks Emerging from Weighted Random Graphs

Tomer Kalisky, Sameet Sreenivasan, Lidia A. Braunstein +3

We study Erdös-Rényi random graphs with random weights associated with each link. We generate a new ``Supernode network'' by merging all nodes connected by links having weights bel…

cond-mat.stat-mech2004★ 61 cited

Volatility of Linear and Nonlinear Time Series

Tomer Kalisky, Yosef Ashkenazy, Shlomo Havlin

Previous studies indicate that nonlinear properties of Gaussian time series with long-range correlations, , can be detected and quantified by studying the correlations in the…