Mathematical Programming

Papers
(The H4-Index of Mathematical Programming is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Towards an optimal contention resolution scheme for matchings53
A characterization of maximal homogeneous-quadratic-free sets37
Multiplicative updates for symmetric-cone factorizations35
$$\mathcal {V}$$-polyhedral disjunctive cuts32
Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations31
On the integrality gap of binary integer programs with Gaussian data31
The exact worst-case convergence rate of the alternating direction method of multipliers29
Affinely representable lattices, stable matchings, and choice functions24
A projection-free method for solving convex bilevel optimization problems24
Efficient separation of RLT cuts for implicit and explicit bilinear terms24
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians24
Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings24
Optimal methods for convex nested stochastic composite optimization22
Fast Augmented Lagrangian Method in the convex regime with convergence guarantees for the iterates21
Structural iterative rounding for generalized k-median problems21
Primal methods for variational inequality problems with functional constraints20
A $$\nicefrac {4}{3}$$-approximation for the maximum leaf spanning arborescence problem in DAGs20
Shapes and recession cones in mixed-integer convex representability20
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization19
A cutting-plane and benders’ decomposition algorithm for two-stage distributionally robust convex programs19
Weak notions of nondegeneracy in nonlinear semidefinite programming19
Constrained optimization of rank-one functions with indicator variables19
Sum-of-squares relaxations for polynomial min–max problems over simple sets19
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