Lothar Reichel
- Computational Mathematics top 0.5%
- Numerical Analysis top 0.2%
- Iterative Methods for Nonlinear Equations 43
- Mathematical Physics top 0.2%
- Numerical methods in inverse problems 140
- Computational Theory and Mathematics top 0.05%
- Matrix Theory and Algorithms 173
- Applied Mathematics top 0.2%
- Statistical and numerical algorithms 80
- Mathematical functions and polynomials 40
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- Electromagnetic Scattering and Analysis 83
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- Image and Signal Denoising Methods 50
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- Sparse and Compressive Sensing Techniques 38
- Co-authors
- Daniela CalvettiJames BaglamaFiorella SgallariSerena MorigiG. RodríguezBryan W. LewisWilliam B. GraggSilvia Noschese
- Journals
- Journal of Computational Physics (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)Mathematics of Computation (11 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Lothar Reichel
327 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 143
- Computational Mathematics 266
- Numerical Analysis 1.5k
- Mathematical Physics 2.0k
- Computational Theory and Mathematics 3.0k
- Applied Mathematics 1.6k
Countries citing papers authored by Lothar Reichel
This map shows the geographic impact of Lothar Reichel'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 Lothar Reichel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lothar Reichel more than expected).
Fields of papers citing papers by Lothar Reichel
This network shows the impact of papers produced by Lothar Reichel. 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 Lothar Reichel. The network helps show where Lothar Reichel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lothar Reichel, 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 | 2024 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 1 | |
| 11 | A Golub-Kahan-type reduction method for matrix pairs | 2015 | 1 |
| 12 | Regularization parameter determination for discrete ill-posed problems | 2014 | 1 |
| 13 | A family of range restricted iterative methods for linear discrete ill-posed problems | 2013 | 10 |
| 14 | SIMPLE SQUARE SMOOTHING REGULARIZATION OPERATORS | 2009 | 44 |
| 15 | L-Curve Curvature Bounds via Lanczos Bidiagonalization | 2001 | 36 |
| 16 | 1991 | 4 | |
| 17 | 1991 | 57 | |
| 18 | 1991 | 36 | |
| 19 | 1985 | 11 | |
| 20 | 1985 | 2 |
About Lothar Reichel
Lothar Reichel is a scholar working on Mathematical Physics, Numerical Analysis and Computational Mathematics, having authored 348 papers that have together received 6.9k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (173 papers), Numerical methods in inverse problems (140 papers), Electromagnetic Scattering and Analysis (83 papers), Statistical and numerical algorithms (80 papers), Image and Signal Denoising Methods (50 papers), Iterative Methods for Nonlinear Equations (43 papers), Mathematical functions and polynomials (40 papers) and Sparse and Compressive Sensing Techniques (38 papers). The work is most often cited by research in Computational Mathematics (266 citations), Numerical Analysis (1.5k citations) and Mathematical Physics (2.0k citations). Lothar Reichel has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Daniela Calvetti, James Baglama, Fiorella Sgallari, Serena Morigi, G. Rodríguez, Bryan W. Lewis, William B. Gragg, Silvia Noschese, Lloyd N. Trefethen and Gene H. Golub. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.
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.