Christoph Schwab

13.9k total citations
307 papers, 8.2k citations indexed

About

Christoph Schwab is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Christoph Schwab has authored 307 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Computational Mechanics, 99 papers in Computational Theory and Mathematics and 94 papers in Statistics, Probability and Uncertainty. Recurrent topics in Christoph Schwab's work include Advanced Numerical Methods in Computational Mathematics (123 papers), Probabilistic and Robust Engineering Design (94 papers) and Advanced Mathematical Modeling in Engineering (86 papers). Christoph Schwab is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (123 papers), Probabilistic and Robust Engineering Design (94 papers) and Advanced Mathematical Modeling in Engineering (86 papers). Christoph Schwab collaborates with scholars based in Switzerland, Germany and United States. Christoph Schwab's co-authors include Dominik Schötzau, Radu Alexandru Todor, Endre Süli, Albert Cohen, Stefan Sauter, Paul Houston, Tobias von Petersdorff, Ronald DeVore, Claude Jeffrey Gittelson and Manil Suri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Free Radical Biology and Medicine.

In The Last Decade

Christoph Schwab

299 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Schwab Switzerland 49 3.9k 2.8k 2.6k 1.8k 1.6k 307 8.2k
Max Gunzburger United States 65 7.9k 2.0× 1.5k 0.5× 3.4k 1.3× 1.8k 1.0× 3.5k 2.2× 333 14.9k
Jan S. Hesthaven United States 56 6.0k 1.5× 2.2k 0.8× 1.2k 0.5× 2.1k 1.2× 1.6k 1.0× 234 13.4k
Anthony T. Patera United States 49 6.2k 1.6× 2.1k 0.7× 1.0k 0.4× 1.4k 0.8× 1.8k 1.2× 153 10.3k
Michael Griebel Germany 41 2.3k 0.6× 1.2k 0.4× 1.2k 0.5× 781 0.4× 1.4k 0.9× 148 6.7k
M. Yousuff Hussaini United States 49 9.4k 2.4× 860 0.3× 1.1k 0.4× 1.9k 1.1× 1.2k 0.8× 289 15.9k
Thomas A. Zang United States 27 4.5k 1.1× 638 0.2× 907 0.3× 1.9k 1.1× 874 0.6× 67 8.9k
Karl Kunisch Austria 49 4.9k 1.2× 982 0.4× 4.0k 1.5× 2.4k 1.3× 1.5k 1.0× 330 11.4k
Andrew M. Stuart United Kingdom 49 1.7k 0.4× 1.3k 0.5× 1.4k 0.5× 1.2k 0.7× 469 0.3× 208 9.7k
Tao Tang China 46 3.5k 0.9× 536 0.2× 1.5k 0.6× 3.5k 1.9× 976 0.6× 237 8.0k
Claudio Canuto Italy 28 5.3k 1.3× 330 0.1× 1.4k 0.5× 2.8k 1.6× 1.7k 1.1× 113 10.8k

Countries citing papers authored by Christoph Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Schwab. A scholar is included among the top collaborators of Christoph Schwab 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 Christoph Schwab. Christoph Schwab 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.
Schwab, Christoph, et al.. (2023). De Rham compatible Deep Neural Network FEM. Neural Networks. 165. 721–739. 5 indexed citations
2.
Schwab, Christoph & Andreas Stein. (2023). Multilevel Monte Carlo  FEM  for elliptic PDEs with Besov random tree priors. Stochastic Partial Differential Equations Analysis and Computations. 12(3). 1574–1627. 1 indexed citations
3.
Perugia, Ilaria, et al.. (2022). Exponential convergence of hp-time-stepping in space-time discretizations of parabolic PDES. ESAIM. Mathematical modelling and numerical analysis. 57(1). 29–67. 3 indexed citations
4.
Dick, Josef, et al.. (2022). Extrapolated Polynomial Lattice Rule Integration in Computational Uncertainty Quantification. SIAM/ASA Journal on Uncertainty Quantification. 10(2). 651–686. 2 indexed citations
5.
Mishra, Siddhartha, et al.. (2021). Higher-Order Quasi-Monte Carlo Training of Deep Neural Networks. SIAM Journal on Scientific Computing. 43(6). A3938–A3966. 9 indexed citations
6.
Gonon, Lukas & Christoph Schwab. (2021). Deep ReLU Neural Network Approximation for Stochastic Differential Equations with Jumps.. arXiv (Cornell University). 5 indexed citations
7.
Schwab, Christoph, et al.. (2020). Deep learning in high dimension: ReLU network Expression Rates for Bayesian PDE inversion. 4 indexed citations
8.
Schwab, Christoph, et al.. (2020). Deep ReLU Neural Network Expression Rates for Data-to-QoI Maps in Bayesian PDE Inversion. 2 indexed citations
9.
Hòang, Viêt Hà, et al.. (2019). Analysis of multilevel MCMC-FEM for Bayesian inversion of log-normal diffusions. 1 indexed citations
10.
Hòang, Viêt Hà, et al.. (2019). Analysis of a multilevel Markov chain Monte Carlo finite element method for Bayesian inversion of log-normal diffusions. Inverse Problems. 36(3). 35021–35021. 6 indexed citations
11.
Schwab, Christoph, et al.. (2018). Space–time hp-approximation of parabolic equations. CALCOLO. 55(3). 9 indexed citations
12.
Kazeev, Vladimir, et al.. (2014). Direct Solution of the Chemical Master Equation Using Quantized Tensor Trains. PLoS Computational Biology. 10(3). e1003359–e1003359. 79 indexed citations
13.
Hòang, Viêt Hà, Christoph Schwab, & Andrew M. Stuart. (2012). Sparse MCMC gpc Finite Element Methods for Bayesian Inverse Problems. arXiv (Cornell University). 3 indexed citations
14.
Barth, Andrea, Annika Lang, & Christoph Schwab. (2011). Multi-level Monte Carlo Finite Element method for parabolic stochastic partial differential equations. Kagoshima Daigaku Kogakubu Kenkyu Hokoku. 3 indexed citations
15.
Grohs, Philipp & Christoph Schwab. (2011). Sparse twisted tensor frame discretization of parametric transport operators. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō. 1 indexed citations
16.
Horstmann, Marcus, et al.. (2010). Maladie de La [b]Peyronie :[/b] une maladie invalidante pour les hommes sexuellement actifs. Revue Médicale Suisse. 6(262). 1731–1735. 1 indexed citations
17.
Schwab, Christoph, Dominik Schötzau, & Thomas P. Wihler. (2009). hp-dGFEM for Second-Order Elliptic Problems in Polyhedra II: Exponential Convergence. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō. 3 indexed citations
18.
Houston, Paul, Christoph Schwab, & Endre Süli. (2002). Discontinuoushp-Finite Element Methods for Advection-Diffusion-Reaction Problems. SIAM Journal on Numerical Analysis. 39(6). 2133–2163. 357 indexed citations
19.
Huber, Alexander, Christoph Schwab, Thomas Linder, et al.. (2001). Evaluation of Eardrum Laser Doppler Interferometry as a Diagnostic Tool. The Laryngoscope. 111(3). 501–507. 88 indexed citations
20.
Schötzau, Dominik & Christoph Schwab. (2000). Time Discretization of Parabolic Problems by the HP-Version of the Discontinuous Galerkin Finite Element Method. SIAM Journal on Numerical Analysis. 38(3). 837–875. 152 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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