Bart Vandereycken
About
In The Last Decade
Bart Vandereycken
28 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computational Mechanics 573
- Atomic and Molecular Physics, and Optics 518
- Computational Mathematics 441
- Computational Theory and Mathematics 315
- Statistical and Nonlinear Physics 307
Countries citing papers authored by Bart Vandereycken
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
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Gauss–Southwell Type Descent Methods for Low-Rank Matrix Optimization | Journal of Optimization Theory and Applications | André Uschmajew, Bart Vandereycken et al. | 0 |
| 2 | Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints | Computational Optimization and Applications | Wen Huang, Bart Vandereycken et al. | 0 |
| 3 | Randomized Sketching of Nonlinear Eigenvalue Problems | SIAM Journal on Scientific Computing | Stefan Güttel, Daniel Kreßner et al. | 1 |
| 4 | Gradient-Type Subspace Iteration Methods for the Symmetric Eigenvalue Problem | SIAM Journal on Matrix Analysis and Applications | Yousef Saad, Bart Vandereycken et al. | 0 |
| 5 | Implicit Low-Rank Riemannian Schemes for the Time Integration of Stiff Partial Differential Equations | Journal of Scientific Computing | Bart Vandereycken et al. | 4 |
| 6 | Geodesic Convexity of the Symmetric Eigenvalue Problem and Convergence of Steepest Descent | Journal of Optimization Theory and Applications | Bart Vandereycken et al. | 3 |
| 7 | Streaming Tensor Train Approximation | SIAM Journal on Scientific Computing | Daniel Kreßner, Bart Vandereycken et al. | 4 |
| 8 | Automatic rational approximation and linearization of nonlinear eigenvalue problems | Lirias (KU Leuven) | Karl Meerbergen, Bart Vandereycken et al. | 28 |
| 9 | The core clock transcription factor BMAL1 drives circadian β-cell proliferation during compensatory regeneration of the endocrine pancreas | Genes & Development | Volodymyr Petrenko, Miri Stolovich-Rain et al. | 16 |
| 10 | A globally convergent method to compute the real stability radius for time-delay systems | Systems & Control Letters | Wim Michiels, Ding Lu et al. | 0 |
| 11 | Lipidomics reveals diurnal lipid oscillations in human skeletal muscle persisting in cellular myotubes cultured in vitro | Proceedings of the National Academy of Sciences | Ursula Loizides‐Mangold, Laurent Perrin et al. | 74 |
| 12 | Riemannian Pursuit for Big Matrix Recovery | UTS ePRESS (University of Technology Sydney) | Mingkui Tan, Ivor W. Tsang et al. | 31 |
| 13 | Line-search methods and rank increase on low-rank matrix varieties | OPUS (Augsburg University) | André Uschmajew, Bart Vandereycken | 15 |
| 14 | Subspace Methods for Computing the Pseudospectral Abscissa and the Stability Radius | SIAM Journal on Matrix Analysis and Applications | Daniel Kreßner, Bart Vandereycken | 23 |
| 15 | Low-Rank Matrix Completion by Riemannian Optimization breakdown → | SIAM Journal on Optimization | Bart Vandereycken | 303 |
| 16 | The geometry of algorithms using hierarchical tensors | Linear Algebra and its Applications | André Uschmajew, Bart Vandereycken | 65 |
| 17 | Dynamical Approximation by Hierarchical Tucker and Tensor-Train Tensors | SIAM Journal on Matrix Analysis and Applications | Christian Lubich, Thorsten Rohwedder et al. | 102 |
| 18 | A survey and comparison of contemporary algorithms for computing the matrix geometric mean | ETNA - Electronic Transactions on Numerical Analysis | Raf Vandebril, Bart Vandereycken et al. | 57 |
| 19 | A Riemannian Optimization Approach for Computing Low-Rank Solutions of Lyapunov Equations | SIAM Journal on Matrix Analysis and Applications | Bart Vandereycken, Stefan Vandewalle | 74 |
| 20 | The Smoothed Spectral Abscissa for Robust Stability Optimization | SIAM Journal on Optimization | Bart Vandereycken, Wim Michiels et al. | 27 |
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.