Daniel Potts
Impact in
- Computational Mathematics top 5%
- Numerical Analysis top 2%
- Mathematical Approximation and Integration
Papers in
-
- Image and Signal Denoising Methods 33
-
- Sparse and Compressive Sensing Techniques 17
- Advanced Numerical Analysis Techniques 15
- Co-authors
- Manfred Tasche (31 shared papers)Stefan Kunis (17 shared papers)Gabriele Steidl (8 shared papers)Jens Keiner (5 shared papers)Gabriele Steidl (15 shared papers)Manuel Gräf (5 shared papers)I. B. Wilson (4 shared papers)Paul A. Racey (2 shared papers)
- Journals
- SIAM Journal on Scientific Computing (7 papers)Linear Algebra and its Applications (6 papers)Applied and Computational Harmonic Analysis (4 papers)Reproduction (4 papers)Numerical Algorithms (4 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Potts
135 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 161
- Computational Mathematics 36
- Numerical Analysis 275
- Applied Mathematics 404
- Computational Mechanics 653
- Signal Processing 310
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-authors
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
Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 259 | |
| 2 | 2001 | 204 | |
| 3 | 1977 | 120 | |
| 4 | 2003 | 90 | |
| 5 | 2009 | 87 | |
| 6 | 2018 | 82 | |
| 7 | 2012 | 78 | |
| 8 | 2013 | 76 | |
| 9 | 2003 | 73 | |
| 10 | 1998 | 65 | |
| 11 | 1967 | 53 | |
| 12 | 2007 | 48 | |
| 13 | 1970 | 46 | |
| 14 | 2011 | 43 | |
| 15 | 2004 | 43 | |
| 16 | The preimplantation conceptus of the mouse at 90 hours post coitum. | 1967 | 41 |
| 17 | 2007 | 36 | |
| 18 | 2007 | 36 | |
| 19 | Postpartum insertion of modified intrauterine devices. | 1984 | 36 |
| 20 | 1998 | 34 |
About Daniel Potts
Daniel Potts is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Applied Mathematics, Signal Processing and Computational Theory and Mathematics, having authored 145 papers that have together received 2.8k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (33 papers), Mathematical Approximation and Integration (19 papers), Digital Filter Design and Implementation (19 papers), Electromagnetic Scattering and Analysis (18 papers), Sparse and Compressive Sensing Techniques (17 papers), Matrix Theory and Algorithms (17 papers), Advanced Numerical Analysis Techniques (15 papers) and Medical Imaging Techniques and Applications (15 papers). The work is most often cited by research in Computational Mathematics (36 citations), Numerical Analysis (275 citations), Applied Mathematics (404 citations), Computational Mechanics (653 citations) and Signal Processing (310 citations). Daniel Potts has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Manfred Tasche, Stefan Kunis, Gabriele Steidl, Jens Keiner, Gabriele Steidl, Manuel Gräf, I. B. Wilson, Paul A. Racey, Gerlind Plonka and R. V. Short. Their work appears in journals such as SIAM Journal on Scientific Computing, Linear Algebra and its Applications, Applied and Computational Harmonic Analysis, Reproduction and Numerical Algorithms.
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.