Per Christian Hansen
- Mathematical Physics top 0.02%
- Numerical methods in inverse problems 53
- Computational Mathematics top 1%
- Geophysics top 0.5%
- Applied Mathematics top 0.2%
- Statistical and numerical algorithms 24
- Computational Mechanics top 0.1%
- Sparse and Compressive Sensing Techniques 19
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- Matrix Theory and Algorithms 34
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- Medical Imaging Techniques and Applications 27
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- Electromagnetic Scattering and Analysis 20
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- Image and Signal Denoising Methods 17
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- Blind Source Separation Techniques 14
- Co-authors
- Dianne P. O’LearyGene H. GolubJames G. NagySøren Holdt JensenTony F. ChanJakob Sauer JørgensenToke Koldborg JensenRicardo D. Fierro
- Partner nations
- DenmarkUnited StatesSweden
In The Last Decade
Per Christian Hansen
162 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Mathematical Physics 4.8k
- Computational Mathematics 137
- Geophysics 2.5k
- Applied Mathematics 1.9k
- Computational Mechanics 3.7k
Countries citing papers authored by Per Christian Hansen
This map shows the geographic impact of Per Christian Hansen'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 Per Christian Hansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Christian Hansen more than expected).
Fields of papers citing papers by Per Christian Hansen
This network shows the impact of papers produced by Per Christian Hansen. 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 Per Christian Hansen. The network helps show where Per Christian Hansen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Per Christian Hansen, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 29 | |
| 10 | 2017 | 132 | |
| 11 | 2014 | 25 | |
| 12 | Semi-convergence and relaxation parameters for a class of SIRT algorithms | 2010 | 46 |
| 13 | Ambiguity and Depth Resolution in Potential Field Inversion | 2007 | 2 |
| 14 | 2007 | 352 | |
| 15 | Deblurring Images: Matrices, Spectra, and Filtering (Fundamentals of Algorithms 3) (Fundamentals of Algorithms) | 2006 | 85 |
| 16 | 2005 | 66 | |
| 17 | L-Curve Curvature Bounds via Lanczos Bidiagonalization | 2001 | 36 |
| 18 | 1990 | 12 | |
| 19 | 1990 | 14 | |
| 20 | 1988 | 13 |
About Per Christian Hansen
Per Christian Hansen is a scholar working on Mathematical Physics, Computational Mathematics and Applied Mathematics, having authored 168 papers that have together received 19.4k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (53 papers), Matrix Theory and Algorithms (34 papers), Medical Imaging Techniques and Applications (27 papers), Statistical and numerical algorithms (24 papers), Electromagnetic Scattering and Analysis (20 papers), Sparse and Compressive Sensing Techniques (19 papers), Image and Signal Denoising Methods (17 papers) and Blind Source Separation Techniques (14 papers). The work is most often cited by research in Mathematical Physics (4.8k citations), Computational Mathematics (137 citations) and Geophysics (2.5k citations). Per Christian Hansen has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Dianne P. O’Leary, Gene H. Golub, James G. Nagy, Søren Holdt Jensen, Tony F. Chan, Jakob Sauer Jørgensen, Toke Koldborg Jensen, Ricardo D. Fierro, Tommy Elfving and Misha E. Kilmer.
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.