Christine Tobler

1.3k total citations · 1 hit paper
11 papers, 803 citations indexed

About

Christine Tobler is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Christine Tobler has authored 11 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mathematics, 9 papers in Computational Theory and Mathematics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Christine Tobler's work include Tensor decomposition and applications (11 papers), Matrix Theory and Algorithms (9 papers) and Model Reduction and Neural Networks (5 papers). Christine Tobler is often cited by papers focused on Tensor decomposition and applications (11 papers), Matrix Theory and Algorithms (9 papers) and Model Reduction and Neural Networks (5 papers). Christine Tobler collaborates with scholars based in Switzerland, Austria and United States. Christine Tobler's co-authors include Daniel Kreßner, Lars Grasedyck, Bernhard Beckermann and Fabio Nobile and has published in prestigious journals such as SIAM Journal on Numerical Analysis, ACM Transactions on Mathematical Software and SIAM Journal on Matrix Analysis and Applications.

In The Last Decade

Christine Tobler

11 papers receiving 741 citations

Hit Papers

A literature survey of low‐rank tensor approximation tech... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Tobler Switzerland 9 569 363 284 244 103 11 803
André Uschmajew Germany 16 522 0.9× 262 0.7× 311 1.1× 168 0.7× 60 0.6× 35 758
Eugene E. Tyrtyshnikov Russia 11 349 0.6× 240 0.7× 187 0.7× 141 0.6× 123 1.2× 21 644
Ziyan Luo China 12 538 0.9× 445 1.2× 157 0.6× 97 0.4× 19 0.2× 41 849
Maolin Che China 18 712 1.3× 456 1.3× 216 0.8× 125 0.5× 35 0.3× 43 848
Н. Л. Замарашкин Russia 9 172 0.3× 289 0.8× 214 0.8× 76 0.3× 176 1.7× 33 655
S. A. Goreinov Russia 8 193 0.3× 202 0.6× 209 0.7× 85 0.3× 194 1.9× 10 549
Gregorio Quintana‐Ortí Spain 20 62 0.1× 376 1.0× 138 0.5× 179 0.7× 91 0.9× 63 1.1k
Shenglong Hu China 19 781 1.4× 710 2.0× 133 0.5× 64 0.3× 19 0.2× 60 1.1k
Linzhang Lu China 17 165 0.3× 793 2.2× 289 1.0× 115 0.5× 303 2.9× 98 1.1k

Countries citing papers authored by Christine Tobler

Since Specialization
Citations

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

Fields of papers citing papers by Christine Tobler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Tobler

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Tobler. A scholar is included among the top collaborators of Christine Tobler 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 Christine Tobler. Christine Tobler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kreßner, Daniel, et al.. (2015). Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. SIAM/ASA Journal on Uncertainty Quantification. 3(1). 393–416. 8 indexed citations
2.
Kreßner, Daniel & Christine Tobler. (2014). Algorithm 941. ACM Transactions on Mathematical Software. 40(3). 1–22. 46 indexed citations
3.
Tobler, Christine, et al.. (2014). Multilevel preconditioning and low‐rank tensor iteration for space–time simultaneous discretizations of parabolic PDEs. Numerical Linear Algebra with Applications. 22(2). 317–337. 26 indexed citations
4.
Kreßner, Daniel, et al.. (2013). A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations. Numerical Linear Algebra with Applications. 21(5). 666–684. 22 indexed citations
5.
Grasedyck, Lars, Daniel Kreßner, & Christine Tobler. (2013). A literature survey of low‐rank tensor approximation techniques. GAMM-Mitteilungen. 36(1). 53–78. 368 indexed citations breakdown →
6.
Beckermann, Bernhard, Daniel Kreßner, & Christine Tobler. (2013). An Error Analysis of Galerkin Projection Methods for Linear Systems with Tensor Product Structure. SIAM Journal on Numerical Analysis. 51(6). 3307–3326. 11 indexed citations
7.
Tobler, Christine, et al.. (2012). Multilevel preconditioning and low rank tensor iteration for space-time simultaneous discretizations of parabolic PDEs. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō. 4 indexed citations
8.
Kreßner, Daniel & Christine Tobler. (2012). htucker - A Matlab toolbox for tensors in hierarchical Tucker format. 23 indexed citations
9.
Kreßner, Daniel & Christine Tobler. (2011). Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems. SIAM Journal on Matrix Analysis and Applications. 32(4). 1288–1316. 123 indexed citations
10.
Kreßner, Daniel & Christine Tobler. (2011). Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems. Computational Methods in Applied Mathematics. 11(3). 363–381. 50 indexed citations
11.
Kreßner, Daniel & Christine Tobler. (2010). Krylov Subspace Methods for Linear Systems with Tensor Product Structure. SIAM Journal on Matrix Analysis and Applications. 31(4). 1688–1714. 122 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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