Daniel Potts
- Computational Mathematics top 5%
- Numerical Analysis top 5%
- Mathematical Approximation and Integration 18
- Applied Mathematics top 2%
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques 14
- Advanced Numerical Analysis Techniques 14
- Signal Processing top 5%
- Digital Filter Design and Implementation 12
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- Image and Signal Denoising Methods 27
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- Electromagnetic Scattering and Analysis 16
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- Medical Imaging Techniques and Applications 14
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- Matrix Theory and Algorithms 13
- Co-authors
- Stefan KunisManfred TascheJens KeinerGabriele SteidlManuel GräfI. B. WilsonPaul A. RaceyN Loudon
- Journals
- SIAM Journal on Scientific Computing (7 papers)Linear Algebra and its Applications (6 papers)Numerical Algorithms (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Potts
119 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 156
- Computational Mathematics 34
- Numerical Analysis 233
- Applied Mathematics 339
- Computational Mechanics 510
- Signal Processing 240
Countries citing papers authored by Daniel Potts
This map shows the geographic impact of Daniel Potts'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 Daniel Potts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Potts more than expected).
Fields of papers citing papers by Daniel Potts
This network shows the impact of papers produced by Daniel Potts. 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 Daniel Potts. The network helps show where Daniel Potts may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Potts, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2020 | 2 | |
| 6 | Learning high-dimensional additive models on the torus. | 2019 | 1 |
| 7 | 2019 | 8 | |
| 8 | 2015 | 4 | |
| 9 | 2012 | 71 | |
| 10 | 2006 | 26 | |
| 11 | A fast algorithm for filtering and wavelet decomposition on the sphere. | 2003 | 7 |
| 12 | Numerical Stability of Fast Trigonometric Transforms -- A Worst Case Study | 2003 | 2 |
| 13 | 2003 | 21 | |
| 14 | 1998 | 60 | |
| 15 | 1998 | 32 | |
| 16 | 1983 | 24 | |
| 17 | 1970 | 38 | |
| 18 | 1970 | 9 | |
| 19 | 1970 | 4 | |
| 20 | 1970 | 23 |
About Daniel Potts
Daniel Potts is a scholar working on Numerical Analysis, Applied Mathematics and Computational Mathematics, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (27 papers), Mathematical Approximation and Integration (18 papers), Electromagnetic Scattering and Analysis (16 papers), Sparse and Compressive Sensing Techniques (14 papers), Advanced Numerical Analysis Techniques (14 papers), Medical Imaging Techniques and Applications (14 papers), Matrix Theory and Algorithms (13 papers) and Digital Filter Design and Implementation (12 papers). The work is most often cited by research in Computational Mathematics (34 citations), Numerical Analysis (233 citations) and Applied Mathematics (339 citations). Daniel Potts has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan Kunis, Manfred Tasche, Jens Keiner, Gabriele Steidl, Gabriele Steidl, Manuel Gräf, I. B. Wilson, Paul A. Racey, N Loudon and R. V. Short. Their work appears in journals such as SIAM Journal on Scientific Computing, Linear Algebra and its Applications, Numerical Algorithms, Applied and Computational Harmonic Analysis and BIT Numerical Mathematics.
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.