Mario Ohlberger

4.4k total citations
82 papers, 2.3k citations indexed

About

Mario Ohlberger is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mario Ohlberger has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computational Mechanics, 31 papers in Computational Theory and Mathematics and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Mario Ohlberger's work include Advanced Numerical Methods in Computational Mathematics (51 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Model Reduction and Neural Networks (22 papers). Mario Ohlberger is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (51 papers), Advanced Mathematical Modeling in Engineering (30 papers) and Model Reduction and Neural Networks (22 papers). Mario Ohlberger collaborates with scholars based in Germany, United States and Switzerland. Mario Ohlberger's co-authors include Bernard Haasdonk, Andreas Dedner, Robert Klöfkorn, Dietmar Kröner, Patrick Henning, Oliver Sander, Christian Engwer, Peter Bastian, Markus Blatt and Martin Rumpf and has published in prestigious journals such as Nature Communications, Journal of Computational Physics and Mathematics of Computation.

In The Last Decade

Mario Ohlberger

76 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ohlberger Germany 24 1.4k 738 569 424 385 82 2.3k
David Darmofal United States 29 3.6k 2.5× 632 0.9× 303 0.5× 259 0.6× 353 0.9× 132 4.3k
Michael Hinze Germany 26 1.8k 1.2× 370 0.5× 1.2k 2.1× 361 0.9× 601 1.6× 101 2.6k
Houman Owhadi United States 22 704 0.5× 630 0.9× 651 1.1× 425 1.0× 106 0.3× 102 2.5k
Serge Prudhomme United States 26 1.3k 0.9× 346 0.5× 520 0.9× 925 2.2× 108 0.3× 87 2.5k
Martin Buhmann Germany 20 936 0.7× 185 0.3× 316 0.6× 866 2.0× 379 1.0× 61 2.5k
Gregory E. Fasshauer United States 25 1.0k 0.7× 245 0.3× 216 0.4× 1.7k 4.0× 382 1.0× 60 2.7k
W. Kyle Anderson United States 32 4.3k 3.0× 387 0.5× 362 0.6× 202 0.5× 270 0.7× 143 5.1k
Eugene L. Wachspress United States 16 720 0.5× 271 0.4× 557 1.0× 312 0.7× 358 0.9× 44 1.5k
Matthias Heinkenschloss United States 26 837 0.6× 391 0.5× 704 1.2× 101 0.2× 625 1.6× 75 1.8k
John Burkardt United States 20 433 0.3× 335 0.5× 318 0.6× 143 0.3× 223 0.6× 38 1.4k

Countries citing papers authored by Mario Ohlberger

Since Specialization
Citations

This map shows the geographic impact of Mario Ohlberger'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 Mario Ohlberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Ohlberger more than expected).

Fields of papers citing papers by Mario Ohlberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Ohlberger. 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 Mario Ohlberger. The network helps show where Mario Ohlberger may publish in the future.

Co-authorship network of co-authors of Mario Ohlberger

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ohlberger. A scholar is included among the top collaborators of Mario Ohlberger 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 Mario Ohlberger. Mario Ohlberger 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.
Ohlberger, Mario, et al.. (2024). Adaptive reduced basis trust region methods for parameter identification problems. KOPS (University of Konstanz). 1(1).
2.
Nüsse, Harald, et al.. (2024). Dynamic interplay of microtubule and actomyosin forces drive tissue extension. Nature Communications. 15(1). 3198–3198. 7 indexed citations
3.
4.
Ohlberger, Mario, et al.. (2023). A relaxed localized trust-region reduced basis approach for optimization of multiscale problems. ESAIM. Mathematical modelling and numerical analysis. 58(1). 79–105. 1 indexed citations
5.
Lorentzen, Rolf J., et al.. (2022). Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery. Advances in Computational Mathematics. 48(6). 7 indexed citations
6.
Feinauer, Julian, Simon Hein, Stephan Rave, et al.. (2018). MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction. Journal of Computational Science. 31. 172–184. 13 indexed citations
7.
Ohlberger, Mario, et al.. (2016). PROBLEM ADAPTED HIERARCHICAL MODEL REDUCTION FOR THE FOKKER-PLANCK EQUATION. arXiv (Cornell University). 13–22. 1 indexed citations
8.
Fuhrmann, Jürgen, Mario Ohlberger, & Christian Rohde. (2014). Finite Volumes for Complex Applications VII-Methods and Theoretical Aspects: FVCA 7, Berlin, June 2014. DIAL (Catholic University of Leuven). 1 indexed citations
9.
Fuhrmann, Jürgen, Mario Ohlberger, & Christian Rohde. (2014). Finite Volumes for Complex Applications VII-Elliptic, Parabolic and Hyperbolic Problems: FVCA 7, Berlin, June 2014. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
10.
Henning, Patrick, Mario Ohlberger, & Ben Schweizer. (2014). Adaptive heterogeneous multiscale methods for immiscible two-phase flow in porous media. Computational Geosciences. 19(1). 99–114. 12 indexed citations
11.
Ohlberger, Mario & Stephan Rave. (2013). Nonlinear reduced basis approximation of parameterized evolution equations via the method of freezing. Comptes Rendus Mathématique. 351(23-24). 901–906. 67 indexed citations
12.
Ohlberger, Mario, et al.. (2013). Cross-Gramian Based Combined State and Parameter Reduction. 1 indexed citations
13.
Haasdonk, Bernard, et al.. (2012). Reduced Basis Model Reduction of Parametrized Two—Phase Flow in Porous Media. IFAC Proceedings Volumes. 45(2). 722–727. 6 indexed citations
14.
Henning, Patrick & Mario Ohlberger. (2012). A Newton-scheme framework for multiscale methods for nonlinear elliptic homogenization problems. 65–74. 5 indexed citations
15.
Henning, Patrick & Mario Ohlberger. (2011). A Note on Homogenization of Advection-Diffusion Problems with Large Expected Drift. Zeitschrift für Analysis und ihre Anwendungen. 30(3). 319–339. 11 indexed citations
16.
Henning, Patrick, et al.. (2010). The heterogeneous multiscale finite element method for advection-diffusion problems with rapidly oscillating coefficients and large expected drift. Networks and Heterogeneous Media. 5(4). 711–744. 24 indexed citations
17.
Ohlberger, Mario, et al.. (2002). Adaptive finite volume methods for displacement problems in porous media. Computing and Visualization in Science. 5(2). 95–106. 12 indexed citations
18.
Karlsen, Kenneth H. & Mario Ohlberger. (2002). A note on the uniqueness of entropy solutions of nonlinear degenerate parabolic equations. Journal of Mathematical Analysis and Applications. 275(1). 439–458. 28 indexed citations
19.
Kröner, Dietmar, et al.. (1999). An introduction to recent developments in theory and numerics for conservation laws : proceedings of the International School on Theory and Numerics for Conservation Laws, Freiburg/Littenweiler, October 20-24, 1997. Springer eBooks. 4 indexed citations
20.
Ohlberger, Mario. (1997). Convergence of a Mixed Finite Element - Finite Volume Method for the Two Phase Flow in Porous Media. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by David Darmofal Breakdown of academic impact, for papers by Michael Hinze Breakdown of academic impact, for papers by Houman Owhadi Breakdown of academic impact, for papers by Serge Prudhomme Breakdown of academic impact, for papers by Martin Buhmann Breakdown of academic impact, for papers by Gregory E. Fasshauer Breakdown of academic impact, for papers by W. Kyle Anderson Breakdown of academic impact, for papers by Eugene L. Wachspress Breakdown of academic impact, for papers by Matthias Heinkenschloss Breakdown of academic impact, for papers by John Burkardt
Rankless by CCL
2026