Leo Liberti

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Leo Liberti is a leading figure in the fields of global optimization, distance geometry, and mathematical programming. His most influential work, the 2017 monograph *Euclidean Distance Geometry* (73 citations), provides a comprehensive and unifying framework for reconstructing points from pairwise distances—a problem with profound applications in structural biology, sensor network localization, and robotics. Liberti’s contributions extend to developing novel convex and nonconvex optimization techniques for solving these inherently difficult inverse problems. With a career spanning over two decades, his research has consistently bridged theory and practice, earning him recognition as a pioneer in the use of semidefinite programming and branch-and-bound methods for distance geometry. His work has garnered over 3,000 total citations, reflecting its deep impact across operations research, computational geometry, and data science. Beyond his monograph, Liberti has authored influential papers on reformulation-linearization techniques and mixed-integer nonlinear programming, making him an essential reference for anyone tackling complex, real-world optimization challenges.