Stefan Volkwein

4.3k total citations
88 papers, 2.4k citations indexed

About

Stefan Volkwein is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Stefan Volkwein has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Statistical and Nonlinear Physics, 40 papers in Computational Mechanics and 29 papers in Statistics, Probability and Uncertainty. Recurrent topics in Stefan Volkwein's work include Model Reduction and Neural Networks (49 papers), Advanced Numerical Methods in Computational Mathematics (33 papers) and Probabilistic and Robust Engineering Design (28 papers). Stefan Volkwein is often cited by papers focused on Model Reduction and Neural Networks (49 papers), Advanced Numerical Methods in Computational Mathematics (33 papers) and Probabilistic and Robust Engineering Design (28 papers). Stefan Volkwein collaborates with scholars based in Germany, Austria and Netherlands. Stefan Volkwein's co-authors include Karl Kunisch, Fredi Tröltzsch, Michael Hinze, E. W. Sachs, Dietmar Hömberg, Alessandro Alla, Roland Griesse, Andrea Pozzi, Davide M. Raimondo and Gabriele Ciaramella and has published in prestigious journals such as Industrial & Engineering Chemistry Research, SIAM Journal on Numerical Analysis and SIAM Journal on Scientific Computing.

In The Last Decade

Stefan Volkwein

79 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stefan Volkwein Germany 23 1.8k 1.2k 801 619 434 88 2.4k
David Amsallem United States 20 2.1k 1.2× 1.2k 1.0× 1.1k 1.4× 355 0.6× 343 0.8× 35 2.7k
D.B.P. Huynh United States 16 1.3k 0.7× 854 0.7× 643 0.8× 308 0.5× 150 0.3× 22 1.8k
Saifon Chaturantabut Thailand 6 1.4k 0.8× 719 0.6× 569 0.7× 325 0.5× 203 0.5× 15 1.7k
Jeff Borggaard United States 24 983 0.6× 1.3k 1.1× 656 0.8× 190 0.3× 252 0.6× 127 2.0k
Tan Bui–Thanh United States 20 965 0.5× 806 0.7× 692 0.9× 194 0.3× 133 0.3× 58 2.0k
Kevin Carlberg United States 18 1.5k 0.8× 850 0.7× 656 0.8× 240 0.4× 159 0.4× 33 1.7k
Christopher Beattie United States 21 1.2k 0.7× 286 0.2× 549 0.7× 635 1.0× 616 1.4× 73 1.8k
Serkan Gugercin United States 24 3.1k 1.8× 884 0.7× 1.3k 1.7× 1.1k 1.8× 1.2k 2.7× 96 3.9k
Karen Veroy Germany 14 1.0k 0.6× 738 0.6× 457 0.6× 258 0.4× 83 0.2× 49 1.3k
Zhu Wang United States 23 884 0.5× 931 0.8× 356 0.4× 226 0.4× 77 0.2× 91 1.5k

Countries citing papers authored by Stefan Volkwein

Since Specialization
Citations

This map shows the geographic impact of Stefan Volkwein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Volkwein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Volkwein more than expected).

Fields of papers citing papers by Stefan Volkwein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Volkwein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Volkwein. The network helps show where Stefan Volkwein may publish in the future.

Co-authorship network of co-authors of Stefan Volkwein

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Volkwein. A scholar is included among the top collaborators of Stefan Volkwein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Volkwein. Stefan Volkwein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stein, Oliver, et al.. (2025). Granularity for Mixed-Integer Polynomial Optimization Problems. Journal of Optimization Theory and Applications. 205(2).
2.
Eichfelder, Gabriele, et al.. (2025). An adaptive relaxation-refinement scheme for multi-objective mixed-integer nonconvex optimization. Mathematical Programming Computation.
3.
Denk, Robert, et al.. (2024). Adjoint-Based Calibration of Nonlinear Stochastic Differential Equations. Applied Mathematics & Optimization. 90(3). 1 indexed citations
4.
Peitz, Sebastian, et al.. (2024). A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces. Journal of Optimization Theory and Applications. 203(1). 455–487.
5.
Volkwein, Stefan, et al.. (2023). Adaptive piecewise linear relaxations for enclosure computations for nonconvex multiobjective mixed-integer quadratically constrained programs. Journal of Global Optimization. 87(1). 97–132. 3 indexed citations
6.
Fuertinger, Doris H., et al.. (2019). Optimal EPO dosing in hemodialysis patients using a non-linear model predictive control approach. Journal of Mathematical Biology. 79(6-7). 2281–2313. 10 indexed citations
7.
Alla, Alessandro, Maurizio Falcone, & Stefan Volkwein. (2017). Error Analysis for POD Approximations of Infinite Horizon Problems via the Dynamic Programming Approach. SIAM Journal on Control and Optimization. 55(5). 3091–3115. 25 indexed citations
8.
Volkwein, Stefan, et al.. (2014). Adaptive POD basis computation for parametrized nonlinear systems using optimal snapshot location. Computational Optimization and Applications. 58(3). 645–677. 14 indexed citations
9.
Volkwein, Stefan, et al.. (2013). POD Galerkin Schemes for Nonlinear Elliptic-Parabolic Systems. SIAM Journal on Scientific Computing. 35(3). A1271–A1298. 29 indexed citations
10.
Volkwein, Stefan. (2011). Optimality system POD and a-posteriori error analysis for linear-quadratic problems. Control and Cybernetics. 40(4). 1109–1124. 4 indexed citations
11.
Kunisch, Karl & Stefan Volkwein. (2010). Optimal snapshot location for computing POD basis functions. ESAIM Mathematical Modelling and Numerical Analysis. 44(3). 509–529. 65 indexed citations
12.
Volkwein, Stefan, et al.. (2007). Galerkin proper orthogonal decomposition methods for parameter dependent elliptic systems. 27(1). 95–95. 36 indexed citations
13.
Hinze, Michael & Stefan Volkwein. (2007). Error estimates for abstract linear–quadratic optimal control problems using proper orthogonal decomposition. Computational Optimization and Applications. 39(3). 319–345. 46 indexed citations
14.
Volkwein, Stefan, et al.. (2006). Model reduction by proper orthogonal decomposition for estimation of scalar parameters in elliptic PDEs. Research Repository (Delft University of Technology). 1 indexed citations
15.
Müller, H. & Stefan Volkwein. (2006). Model reduction by proper orthogonal decomposition for lambda-omega systems. Research Repository (Delft University of Technology). 2 indexed citations
16.
Hömberg, Dietmar & Stefan Volkwein. (2003). Control of laser surface hardening by a reduced-order approach using proper orthogonal decomposition. Mathematical and Computer Modelling. 38(10). 1003–1028. 34 indexed citations
17.
Volkwein, Stefan. (2003). Lagrange-SQP Techniques for the Control Constrained Optimal Boundary Control for the Burgers Equation. Computational Optimization and Applications. 26(3). 253–284. 12 indexed citations
18.
Volkwein, Stefan. (2001). Second-order conditions for boundary control problems of the Burgers equation. Control and Cybernetics. 30(3). 249–278. 8 indexed citations
19.
Volkwein, Stefan. (2001). Optimal Control of a Phase-Field Model Using Proper Orthogonal Decomposition. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 81(2). 83–97. 49 indexed citations
20.
Tröltzsch, Fredi & Stefan Volkwein. (2001). The SQP method for control constrained optimal control of the Burgers equation. ESAIM Control Optimisation and Calculus of Variations. 6. 649–674. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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