Lothar Reichel
- Computational Theory and Mathematics top 0.05%
- Mathematical Physics top 0.2%
- Applied Mathematics top 0.2%
- Computational Mechanics top 0.5%
- Numerical Analysis top 0.2%
- Co-authors
- Daniela CalvettiJames BaglamaFiorella SgallariSerena MorigiG. RodríguezBryan W. LewisWilliam B. GraggSilvia Noschese
- Topics
- Matrix Theory and Algorithms (173 papers)Numerical methods in inverse problems (140 papers)Electromagnetic Scattering and Analysis (83 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringMathematics of Computation
- Partner nations
- United StatesItalyFrance
In The Last Decade
Lothar Reichel
327 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 143
- Computational Theory and Mathematics 3.0k
- Mathematical Physics 2.0k
- Applied Mathematics 1.6k
- Computational Mechanics 1.5k
- Numerical Analysis 1.5k
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 of co-authors of Lothar Reichel
This figure shows the co-authorship network connecting the top 25 collaborators of Lothar Reichel. A scholar is included among the top collaborators of Lothar Reichel 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 Lothar Reichel. Lothar Reichel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | A Golub-Kahan-type reduction method for matrix pairs | 1 |
| 12 | Regularization parameter determination for discrete ill-posed problems | 1 |
| 13 | A family of range restricted iterative methods for linear discrete ill-posed problems | 10 |
| 14 | SIMPLE SQUARE SMOOTHING REGULARIZATION OPERATORS | 44 |
| 15 | L-Curve Curvature Bounds via Lanczos Bidiagonalization | 36 |
| 16 | 4 | |
| 17 | 57 | |
| 18 | 36 | |
| 19 | 11 | |
| 20 | 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) and Electromagnetic Scattering and Analysis (83 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.