Bart Vandereycken

2.9k total citations · 2 hit papers
34 papers, 1.7k citations indexed

About

Bart Vandereycken is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Numerical Analysis. According to data from OpenAlex, Bart Vandereycken has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 14 papers in Computational Mechanics and 12 papers in Numerical Analysis. Recurrent topics in Bart Vandereycken's work include Matrix Theory and Algorithms (21 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced Optimization Algorithms Research (11 papers). Bart Vandereycken is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Sparse and Compressive Sensing Techniques (13 papers) and Advanced Optimization Algorithms Research (11 papers). Bart Vandereycken collaborates with scholars based in Switzerland, United States and Belgium. Bart Vandereycken's co-authors include Christian Lubich, Jutho Haegeman, Frank Verstraete, Ivan Oseledets, Daniel Kreßner, Michael Steinlechner, Stefan Vandewalle, André Uschmajew, Thorsten Rohwedder and Reinhold Schneider and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Physical review. B..

In The Last Decade

Bart Vandereycken

28 papers receiving 1.6k citations

Hit Papers

Unifying time evolution and optimization with matrix prod... 2013 2026 2017 2021 2016 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Vandereycken Switzerland 17 573 518 441 315 307 34 1.7k
Е. Е. Тыртышников Russia 16 325 0.6× 298 0.6× 380 0.9× 460 1.5× 160 0.5× 69 1.1k
Lars Grasedyck Germany 25 781 1.4× 887 1.7× 1.0k 2.3× 1.0k 3.3× 529 1.7× 64 2.7k
E. E. Tyrtyshnikov Russia 18 355 0.6× 365 0.7× 596 1.4× 706 2.2× 153 0.5× 43 1.3k
Ren‐Cang Li United States 22 278 0.5× 360 0.7× 114 0.3× 1.2k 3.9× 276 0.9× 134 1.9k
Boris N. Khoromskij Germany 35 926 1.6× 1.1k 2.1× 2.0k 4.5× 1.6k 5.0× 600 2.0× 115 3.3k
Mark Tygert United States 15 598 1.0× 344 0.7× 143 0.3× 405 1.3× 110 0.4× 29 1.7k
Marc Van Barel Belgium 23 419 0.7× 355 0.7× 364 0.8× 1.3k 4.0× 327 1.1× 220 2.3k
Sergey Dolgov United Kingdom 17 218 0.4× 243 0.5× 636 1.4× 289 0.9× 331 1.1× 48 993
Andrew Knyazev United States 19 514 0.9× 478 0.9× 41 0.1× 809 2.6× 107 0.3× 74 1.6k
Julien Langou United States 20 301 0.5× 274 0.5× 82 0.2× 809 2.6× 114 0.4× 55 2.1k

Countries citing papers authored by Bart Vandereycken

Since Specialization
Citations

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

Fields of papers citing papers by Bart Vandereycken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Vandereycken

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Vandereycken. A scholar is included among the top collaborators of Bart Vandereycken 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 Bart Vandereycken. Bart Vandereycken 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.
Uschmajew, André, et al.. (2025). Gauss–Southwell Type Descent Methods for Low-Rank Matrix Optimization. Journal of Optimization Theory and Applications. 206(1).
2.
Huang, Wen, et al.. (2025). Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints. Computational Optimization and Applications. 91(3). 1135–1184.
3.
Güttel, Stefan, Daniel Kreßner, & Bart Vandereycken. (2024). Randomized Sketching of Nonlinear Eigenvalue Problems. SIAM Journal on Scientific Computing. 46(5). A3022–A3043. 1 indexed citations
4.
Saad, Yousef, et al.. (2024). Gradient-Type Subspace Iteration Methods for the Symmetric Eigenvalue Problem. SIAM Journal on Matrix Analysis and Applications. 45(4). 2360–2386.
5.
Vandereycken, Bart, et al.. (2024). Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations. Journal of Scientific Computing. 101(1). 3–3. 4 indexed citations
6.
Vandereycken, Bart, et al.. (2024). Geodesic Convexity of the Symmetric Eigenvalue Problem and Convergence of Steepest Descent. Journal of Optimization Theory and Applications. 203(1). 920–959. 3 indexed citations
7.
Kreßner, Daniel, et al.. (2023). Streaming Tensor Train Approximation. SIAM Journal on Scientific Computing. 45(5). A2610–A2631. 4 indexed citations
8.
Meerbergen, Karl, et al.. (2021). Automatic rational approximation and linearization of nonlinear eigenvalue problems. Lirias (KU Leuven). 28 indexed citations
9.
Petrenko, Volodymyr, Miri Stolovich-Rain, Bart Vandereycken, et al.. (2020). The core clock transcription factor BMAL1 drives circadian β-cell proliferation during compensatory regeneration of the endocrine pancreas. Genes & Development. 34(23-24). 1650–1665. 16 indexed citations
10.
Michiels, Wim, et al.. (2019). A globally convergent method to compute the real stability radius for time-delay systems. Systems & Control Letters. 127. 44–51.
11.
Loizides‐Mangold, Ursula, Laurent Perrin, Bart Vandereycken, et al.. (2017). Lipidomics reveals diurnal lipid oscillations in human skeletal muscle persisting in cellular myotubes cultured in vitro. Proceedings of the National Academy of Sciences. 114(41). E8565–E8574. 74 indexed citations
12.
Tan, Mingkui, Ivor W. Tsang, Li Wang, Bart Vandereycken, & Sinno Jialin Pan. (2014). Riemannian Pursuit for Big Matrix Recovery. UTS ePRESS (University of Technology Sydney). 1539–1547. 31 indexed citations
13.
Uschmajew, André & Bart Vandereycken. (2014). Line-search methods and rank increase on low-rank matrix varieties. OPUS (Augsburg University). 46. 15 indexed citations
14.
Kreßner, Daniel & Bart Vandereycken. (2014). Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius. SIAM Journal on Matrix Analysis and Applications. 35(1). 292–313. 23 indexed citations
15.
Vandereycken, Bart. (2013). Low-Rank Matrix Completion by Riemannian Optimization. SIAM Journal on Optimization. 23(2). 1214–1236. 303 indexed citations breakdown →
16.
Uschmajew, André & Bart Vandereycken. (2013). The geometry of algorithms using hierarchical tensors. Linear Algebra and its Applications. 439(1). 133–166. 65 indexed citations
17.
Lubich, Christian, Thorsten Rohwedder, Reinhold Schneider, & Bart Vandereycken. (2013). Dynamical Approximation by Hierarchical Tucker and Tensor-Train Tensors. SIAM Journal on Matrix Analysis and Applications. 34(2). 470–494. 102 indexed citations
18.
Vandebril, Raf, et al.. (2012). A survey and comparison of contemporary algorithms for computing the matrix geometric mean. ETNA - Electronic Transactions on Numerical Analysis. 39. 379–402. 57 indexed citations
19.
Vandereycken, Bart & Stefan Vandewalle. (2010). A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations. SIAM Journal on Matrix Analysis and Applications. 31(5). 2553–2579. 74 indexed citations
20.
Vandereycken, Bart, et al.. (2009). The Smoothed Spectral Abscissa for Robust Stability Optimization. SIAM Journal on Optimization. 20(1). 156–171. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026