ProfessorsProfessors of Humboldt-Universität zu BerlinWerner Römisch

Werner Römisch

Humboldt-Universität zu Berlin

H-index: 42

Europe-Germany

About Werner Römisch

Werner Römisch, With an exceptional h-index of 42 and a recent h-index of 21 (since 2020), a distinguished researcher at Humboldt-Universität zu Berlin, specializes in the field of Stochastic Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Problem-based optimal scenario generation and reduction in stochastic programming

On quantitative stability in infinite-dimensional optimization under uncertainty

Asymptotic properties of Monte Carlo methods in elliptic PDE-constrained optimization under uncertainty

Capacity Evaluation for Large-Scale Gas Networks

Randomized QMC methods for mixed-integer two-stage stochastic programs with application to electricity optimization

Werner Römisch Information

University	Humboldt-Universität zu Berlin
Position	Professor für Mathematik
Citations(all)	9806
Citations(since 2020)	2703
Cited By	8332
hIndex(all)	42
hIndex(since 2020)	21
i10Index(all)	84
i10Index(since 2020)	42
Email	Access Email
University Profile Page	Humboldt-Universität zu Berlin
Google Scholar	View Google Scholar Profile

Werner Römisch Skills & Research Interests

Stochastic Optimization

Top articles of Werner Römisch

Title	Journal	Author(s)	Publication Date
Problem-based optimal scenario generation and reduction in stochastic programming	Mathematical Programming	Réne Henrion Werner Römisch	2022/1
On quantitative stability in infinite-dimensional optimization under uncertainty	Optimization Letters	Mario Hoffhues Werner Römisch Thomas M Surowiec	2021/11
Asymptotic properties of Monte Carlo methods in elliptic PDE-constrained optimization under uncertainty	arXiv preprint arXiv:2106.06347	Werner Römisch Thomas M Surowiec	2021/6/11
Capacity Evaluation for Large-Scale Gas Networks	German Success Stories in Industrial Mathematics	Thorsten Koch Martin Schmidt Benjamin Hiller Marc Pfetsch Björn Geißler ...	2020
Randomized QMC methods for mixed-integer two-stage stochastic programs with application to electricity optimization		H Leövey W Römisch	2020