Åke Björck
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research 18
- Numerical methods for differential equations 5
- Iterative Methods for Nonlinear Equations 4
- Computational Mathematics top 1%
- Computational Theory and Mathematics top 0.1%
- Matrix Theory and Algorithms 27
- Numerical Methods and Algorithms 3
- Computational Mechanics top 0.5%
- Sparse and Compressive Sensing Techniques 3
- Applied Mathematics top 0.5%
- Statistical and numerical algorithms 15
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- Control Systems and Identification 5
- Co-authors
- Germund DahlquistNed AndersonGene H. GolubVíctor PereyraTommy ElfvingChristopher C. PaigeSven HammarlingWalter Gander
- Journals
- BIT Numerical Mathematics (9 papers)Mathematics of Computation (7 papers)SIAM Journal on Matrix Analysis and Applications (5 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Åke Björck
50 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Numerical Analysis 1.4k
- Computational Mathematics 129
- Computational Theory and Mathematics 2.2k
- Computational Mechanics 1.6k
- Applied Mathematics 777
Countries citing papers authored by Åke Björck
This map shows the geographic impact of Åke Björck'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 Åke Björck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Åke Björck more than expected).
Fields of papers citing papers by Åke Björck
This network shows the impact of papers produced by Åke Björck. 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 Åke Björck. The network helps show where Åke Björck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Åke Björck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 18 | |
| 2 | 2014 | 5 | |
| 3 | Numerical methods in scientific computing | 2008 | 178 |
| 4 | 2004 | 41 | |
| 5 | Preconditioners for least squares problems by LU factorization. | 1999 | 18 |
| 6 | Newton and Rayleigh quotient methods for total least squares problems | 1997 | 12 |
| 7 | Numerical Methods for Least Squares Problemsbreakdown → | 1996 | 2406 |
| 8 | 1994 | 192 | |
| 9 | 1994 | 42 | |
| 10 | 1994 | 55 | |
| 11 | 1987 | 52 | |
| 12 | 1984 | 28 | |
| 13 | 1983 | 114 | |
| 14 | 1983 | 10 | |
| 15 | 1980 | 43 | |
| 16 | 1978 | 5 | |
| 17 | Numerical methodsbreakdown → | 1974 | 1377 |
| 18 | Numerical methods for computing angles between linear subspacesbreakdown → | 1973 | 517 |
| 19 | 1970 | 189 | |
| 20 | 1967 | 342 |
About Åke Björck
Åke Björck is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics, Computational Mechanics and Control and Systems Engineering, having authored 50 papers that have together received 7.8k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (27 papers), Advanced Optimization Algorithms Research (18 papers), Statistical and numerical algorithms (15 papers), Numerical methods for differential equations (5 papers), Control Systems and Identification (5 papers), Iterative Methods for Nonlinear Equations (4 papers), Sparse and Compressive Sensing Techniques (3 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Numerical Analysis (1.4k citations), Computational Mathematics (129 citations), Computational Theory and Mathematics (2.2k citations), Computational Mechanics (1.6k citations) and Applied Mathematics (777 citations). Åke Björck has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Germund Dahlquist, Ned Anderson, Gene H. Golub, Víctor Pereyra, Tommy Elfving, Christopher C. Paige, Sven Hammarling, Walter Gander, Iain Duff and Zdeněk Strakoš. Their work appears in journals such as BIT Numerical Mathematics, Mathematics of Computation, SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications and Journal of the American Statistical Association.
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.