Raf Vandebril

1.8k citations
120 papers · 1.1k indexed · h-index 17
Topics
Matrix Theory and Algorithms (97 papers)Advanced Optimization Algorithms Research (32 papers)Statistical and numerical algorithms (25 papers)

In The Last Decade

Raf Vandebril

106 papers receiving 993 citations

Peers

Raf Vandebril
Comparison fields: 5 of 78
  • Computational Theory and Mathematics 700
  • Numerical Analysis 313
  • Atomic and Molecular Physics, and Optics 225
  • Computational Mathematics 219
  • Computational Mechanics 188
Replace Vadim Olshevsky with:
Vadim Olshevsky United States
K. Jbilou France
Musheng Wei China
M. Gasca Spain
Bing Zheng China
Zdeněk Strakoš Czechia
Н. Л. Замарашкин Russia
Bo Kågström Sweden
Linzhang Lu China
Raf Vandebril relative to Vadim Olshevsky United States Vadim Olshevsky's profile →
Citations per field
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Vadim Olshevsky · 1×
Citations per year

Countries citing papers authored by Raf Vandebril

Since Specialization
Citations

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

Fields of papers citing papers by Raf Vandebril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raf Vandebril

This figure shows the co-authorship network connecting the top 25 collaborators of Raf Vandebril. A scholar is included among the top collaborators of Raf Vandebril 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 Raf Vandebril. Raf Vandebril 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
#WorkIndexed citations
1 1
2 0
3 1
4 1
5
Roots of Polynomials: on twisted QR methods for companion matrices and pencils
1
6
Fast and backward stable computation of the eigenvalues of matrix polynomials
2
7
Averaging block-Toeplitz matrices with preservation of Toeplitz block structure
4
8 1
9 7
10
Geometric mean algorithms based on harmonic and arithmetic iterations
1
11 1
12 7
13 1
14
Eigenvalue and singular value methods
5
15 4
16
A parallel QR-factorization/solver of quasiseparable matrices
2
17
On the computation of the nullspace of Toeplitz-like matrices
1
18
Solving linear systems with a Levinson-like solver.
1
19 4
20 5

About Raf Vandebril

Raf Vandebril is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 120 papers that have together received 1.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (97 papers), Advanced Optimization Algorithms Research (32 papers) and Statistical and numerical algorithms (25 papers). The work is most often cited by research in Computational Mathematics (219 citations), Numerical Analysis (313 citations) and Computational Theory and Mathematics (700 citations). Raf Vandebril has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Marc Van Barel, Nicola Mastronardi, Karl Meerbergen, Nick Vannieuwenhoven, David S. Watkins, Bart Vandereycken, Gene H. Golub, Paul Van Dooren, Leonardo Robol and Gianna M. Del Corso. Their work appears in journals such as Bioinformatics, Mathematics of Computation and Mechanical Systems and Signal Processing.

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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