World's Best Scientists 2026 revealed!
Award Badge
Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
80
Citations
46059
World Ranking
140
National Ranking
80

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2002 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 1999 - INFORMS John von Neumann Theory Prize
  • 1992 - John von Neumann Lecturer
  • 1982 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)

Overview

R. T. Rockafellar is affiliated with the University of Washington in the United States. Their research focuses predominantly on mathematics and computer science, specifically within fields such as computational theory and mathematics, numerical analysis, economics and econometrics, management science and operations research, and computational mechanics.

The primary topics covered by Rockafellar's body of work include optimization and variational analysis, advanced optimization algorithms research, risk and portfolio optimization, economic theories and models, sparse and compressive sensing techniques, fixed point theorems analysis, and fuzzy systems and optimization.

Rockafellar's recent publications reflect a strong engagement with mathematical programming and optimization. Notable papers include:

  • "Augmented Lagrangians and hidden convexity in sufficient conditions for local optimality," 2022, Mathematical Programming
  • "Solving Lagrangian variational inequalities with applications to stochastic programming," 2020, Mathematical Programming
  • "Convergence of augmented Lagrangian methods in extensions beyond nonlinear programming," 2022, Mathematical Programming
  • "Minimizing buffered probability of exceedance by progressive hedging," 2020, Mathematical Programming
  • "Primal-Dual Stability in Local Optimality," 2024, Journal of Optimization Theory and Applications

Frequent co-authors collaborating with Rockafellar have included Matúš Benko, Feilong Wang, Xin Wang, Yuan Hong, and Xuegang. This indicates a consistent collaboration network supporting research productivity.

Rockafellar's publications have appeared in several specialized venues. The most frequent publication venues are:

  • Mathematical Programming
  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • Set-Valued and Variational Analysis
  • Journal of Optimization Theory and Applications

Throughout their career, Rockafellar has received awards recognizing contributions to operations research and mathematical optimization. These honors include being named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2002, receiving the INFORMS John von Neumann Theory Prize in 1999, delivering the John von Neumann Lecture in 1992, and being awarded the Dantzig Prize by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS) in 1982.

Best Publications

  • OPTIMIZATION OF CONDITIONAL VALUE-AT-RISK

    R T Rockafellar;S Uryasev

  • Monotone Operators and the Proximal Point Algorithm

    Unknown

  • Variational Analysis

    Unknown

  • Scenarios and policy aggregation in optimization under uncertainty

    R. T. Rockafellar;Roger J. B. Wets

  • Augmented Lagrangians and Applications of the Proximal Point Algorithm in Convex Programming

    R. T. Rockafellar

  • On the maximality of sums of nonlinear monotone operators

    R. T. Rockafellar

  • On the maximal monotonicity of subdifferential mappings.

    Ralph Rockafellar

  • Augmented Lagrange Multiplier Functions and Duality in Nonconvex Programming

    Unknown

  • The multiplier method of Hestenes and Powell applied to convex programming

    R. T. Rockafellar

  • Characterization of the subdifferentials of convex functions

    Ralph Tyrrell Rockafellar

  • Local differentiability of distance functions

    R. Poliquin;R. Rockafellar;L. Thibault

  • Generalized Directional Derivatives and Subgradients of Nonconvex Functions

    R. T. Rockafellar

  • Integrals which are convex functionals. II

    Ralph Tyrrell Rockafellar

  • On the subdifferentiability of convex functions

    A. Brøndsted;R. T. Rockafellar

  • Characterizations of Strong Regularity for Variational Inequalities over Polyhedral Convex Sets

    A. L. Dontchev;R. T. Rockafellar

  • Prox-regular functions in variational analysis

    R. A. Poliquin;R. T. Rockafellar

  • Directionally Lipschitzian Functions and Subdifferential Calculus

    R. T. Rockafellar

  • Convergence Rates in Forward--Backward Splitting

    George H.-G. Chen;R. T. Rockafellar

  • Duality and stability in extremum problems involving convex functions.

    Ralph Tyrrell Rockafellar

  • Local boundedness of nonlinear, monotone operators.

    R. T. Rockafellar

  • Conjugate convex functions in optimal control and the calculus of variations

    R.T Rockafellar

  • Clarke's tangent cones and the boundaries of closed sets in Rn

    Ralph Rockafellar

  • First- and second-order epi-differentiability in nonlinear programming

    R. T. Rockafellar

  • Journal of Convex Analysis

    G Buttazzo;L Thibault;R J B Wets;H Attouch

  • 1. Conjugate Duality and Optimization

    Unknown

Frequent Co-Authors

Roger J.-B. Wets
Roger J.-B. Wets University of California, Davis
Asen L. Dontchev
Asen L. Dontchev University of Michigan–Ann Arbor
Boris S. Mordukhovich
Boris S. Mordukhovich Wayne State University
Dominikus Noll
Dominikus Noll Paul Sabatier University
Aharon Ben-Tal
Aharon Ben-Tal Technion – Israel Institute of Technology
Jonathan M. Borwein
Jonathan M. Borwein University of Newcastle Australia
Victor Klee
Victor Klee University of Washington
Michel Chipot
Michel Chipot University of Zurich
Giuseppe Buttazzo
Giuseppe Buttazzo University of Pisa
Haim Brezis
Haim Brezis Rutgers, The State University of New Jersey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Mathematics opens doors to several exciting fields, especially when combined with technology and business skills. For those looking to expand their career options, an MS in data analytics is a popular choice. It leverages mathematical foundations to interpret complex data, making graduates valuable in various industries.

For professionals interested in management and business leadership, online MBA programs provide a structured path to develop essential skills. Finding MBA programs that accept transfer credits can ease the transition for students who have already completed some graduate coursework. This flexibility helps save time and tuition costs while advancing careers.

Not all MBA programs require intense admission processes or rigorous coursework. The easiest MBA specialization options allow students to balance studies with work or personal commitments. Additionally, some of the easiest MBA programs online offer accessible pathways for career advancement without sacrificing quality.

Exploring these related degrees can enrich a Mathematics background and open up diverse, high-demand career opportunities in data, analytics, and business leadership.

Best Scientists Citing R. T. Rockafellar

Trending Scientists