World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
36
Citations
4982
World Ranking
2660
National Ranking
165

Engineering and Technology

D-Index
36
Citations
4984
World Ranking
8745
National Ranking
295

Overview

Rüdiger Schultz is affiliated with the University of Duisburg-Essen in Germany. Their research spans multiple fields, primarily within Engineering, Decision Sciences, and Energy. The subfields they have contributed to include Management Science and Operations Research, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Environmental Engineering, and Electrical and Electronic Engineering.

Their work focuses on topics such as Risk and Portfolio Optimization, Process Optimization and Integration, Advanced Control Systems Optimization, Energy, Environment, and Transportation Policies, Environmental Impact and Sustainability, Integrated Energy Systems Optimization, and Global Energy Security and Policy.

Recent publications by Schultz include:

  • Joint Model of Probabilistic-Robust (Probust) Constraints Applied to Gas Network Optimization, 2020, Vietnam Journal of Mathematics
  • Convexity and starshapedness of feasible sets in stationary flow networks, 2020, Networks and Heterogeneous Media
  • A pessimistic bilevel stochastic problem for elastic shape optimization, 2021, Mathematical Programming
  • Recent advances in applied optimization under uncertainty, 2021, Computational Management Science

Frequent co-authors in Schultz's publications include René Henrion, Martin Gugat, Martin Schmidt, Benjamin Hiller, and Thorsten Koch. The collaboration count varies, with René Henrion appearing most often.

The venues where Schultz's research has appeared include Vietnam Journal of Mathematics, Networks and Heterogeneous Media, Mathematical Programming, and Computational Management Science.

Best Publications

  • Dual decomposition in stochastic integer programming

    Claus C. CarøE;RüDiger Schultz

  • Stochastic programming with integer variables

    Rüdiger Schultz

  • Conditional Value-at-Risk in Stochastic Programs with Mixed-Integer Recourse

    Rüdiger Schultz;Stephan Tiedemann

  • Solving stochastic programs with integer recourse by enumeration: A framework using Gröbner basis

    R. Schultz;L. Stougie;M.H. van der Vlerk

  • Validation of nominations in gas network optimization: models, methods, and solutions

    Marc E. Pfetsch;Armin Fügenschuh;Björn Geißler;Nina Geißler

  • Two-stage stochastic integer programming : a survey

    R Schultz;Leen L Stougie;van der Mh Vlerk

  • Stability analysis for stochastic programs

    Werner Römisch;Rüdiger Schultz

  • Stochastic Integer Programming

    François V. Louveaux;Rüdiger Schultz

  • Multistage Stochastic Integer Programs: An Introduction

    Werner Römisch;Rüdiger Schultz

  • Optimal operation of dispersed generation under uncertainty using mathematical programming

    E. Handschin;F. Neise;H. Neumann;R. Schultz

  • On structure and stability in stochastic programs with random technology matrix and complete integer recourse

    Rüdiger Schultz

  • Solving stochastic programs with integer recourse by enumeration: a framework using Gro¨bner basis reductions

    Rüdiger Schultz;Leen Stougie;Maarten H. van der Vlerk

  • Risk Aversion via Excess Probabilities in Stochastic Programs with Mixed-Integer Recourse

    Rüdiger Schultz;Stephan Tiedemann

  • A Two-Stage Stochastic Program for Unit Commitment Under Uncertainty in a Hydro-Thermal Power System

    Claus C. Carøe;Rüdiger Schultz

  • Shape Optimization Under Uncertainty—A Stochastic Programming Perspective

    Sergio Conti;Harald Held;Martin Pach;Martin Rumpf

  • Unit commitment in power generation – a basic model and some extensions

    Ralf Gollmer;Matthias P. Nowak;Werner Römisch;Rüdiger Schultz

  • A Stochastic Integer Programming Model for Incorporating Day-Ahead Trading of Electricity into Hydro-Thermal Unit Commitment

    Matthias P. Nowak;Rüdiger Schultz;Markus Westphalen

  • Continuity properties of expectation functions in stochastic integer programming

    Rüdiger Schultz

  • Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse

    Ralf Gollmer;Frederike Neise;Rüdiger Schultz

  • Distribution sensitivity in stochastic programming

    Werner Römisch;Rüdiger Schultz

Frequent Co-Authors

Werner Römisch
Werner Römisch Humboldt-Universität zu Berlin
Martin Rumpf
Martin Rumpf University of Bonn
Leen Stougie
Leen Stougie Centrum Wiskunde & Informatica
Sebastian Engell
Sebastian Engell TU Dortmund University
Sergio Conti
Sergio Conti University of Bonn
Thorsten Koch
Thorsten Koch Zuse Institute Berlin
René Henrion
René Henrion Weierstrass Institute for Applied Analysis and Stochastics
Andrzej Ruszczyński
Andrzej Ruszczyński Rutgers, The State University of New Jersey
Rolf H. Möhring
Rolf H. Möhring Technical University of Berlin
Christian Rehtanz
Christian Rehtanz TU Dortmund University

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