Ole Christensen
- Applied Mathematics top 0.05%
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 0.5%
- Computational Mechanics top 1%
- Mathematical Physics top 1%
- Co-authors
- Eric WeberPeter G. CasazzaYonina C. EldarRae Young KimDiana T. StoevaChristopher HeilHong Oh KimAlexander Lindner
- Topics
- Mathematical Analysis and Transform Methods (90 papers)Image and Signal Denoising Methods (44 papers)Digital Filter Design and Implementation (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputerJournal of Mathematical Analysis and Applications
- Partner nations
- DenmarkUnited StatesSouth Korea
In The Last Decade
Ole Christensen
109 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Applied Mathematics 3.5k
- Computer Vision and Pattern Recognition 1.8k
- Signal Processing 1000
- Computational Mechanics 920
- Mathematical Physics 803
Countries citing papers authored by Ole Christensen
This map shows the geographic impact of Ole Christensen'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 Ole Christensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ole Christensen more than expected).
Fields of papers citing papers by Ole Christensen
This network shows the impact of papers produced by Ole Christensen. 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 Ole Christensen. The network helps show where Ole Christensen may publish in the future.
Co-authorship network of co-authors of Ole Christensen
This figure shows the co-authorship network connecting the top 25 collaborators of Ole Christensen. A scholar is included among the top collaborators of Ole Christensen 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 Ole Christensen. Ole Christensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Gabor Frames in ℓ2(Z) and Linear Dependence | 1 |
| 3 | 19 | |
| 4 | Paley-wiener type perturbations of frames and the deviation from perfect reconstruction | 1 |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 39 | |
| 11 | 121 | |
| 12 | 10 | |
| 13 | 26 | |
| 14 | 95 | |
| 15 | Perturbation of Banach Frames and Atomic Decomposition | 5 |
| 16 | 39 | |
| 17 | 31 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 53 |
About Ole Christensen
Ole Christensen is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 115 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (90 papers), Image and Signal Denoising Methods (44 papers) and Digital Filter Design and Implementation (19 papers). The work is most often cited by research in Applied Mathematics (3.5k citations), Signal Processing (1000 citations) and Mathematical Physics (803 citations). Ole Christensen has collaborated with scholars based in Denmark, United States and South Korea. Frequent co-authors include Eric Weber, Peter G. Casazza, Yonina C. Eldar, Rae Young Kim, Diana T. Stoeva, Christopher Heil, Hong Oh Kim, Alexander Lindner, Say Song Goh and Richard S. Laugesen. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer and Journal of Mathematical Analysis and Applications.
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.