Ben Adcock
Impact in
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
- Computational Mechanics top 2%
- Sparse and Compressive Sensing Techniques
Papers in
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- Sparse and Compressive Sensing Techniques 32
-
- Mathematical Analysis and Transform Methods 16
- Mathematical functions and polynomials 11
- Co-authors
- Anders C. Hansen (22 shared papers)Clarice Poon (7 shared papers)Vegard Antun (2 shared papers)Francesco Renna (1 shared paper)Daan Huybrechs (5 shared papers)Bogdan Roman (4 shared papers)Nick Dexter (9 shared papers)Simone Brugiapaglia (9 shared papers)
- Journals
- Foundations of Computational Mathematics (5 papers)Applied and Computational Harmonic Analysis (5 papers)SIAM Journal on Numerical Analysis (4 papers)Journal of Fourier Analysis and Applications (3 papers)Constructive Approximation (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Ben Adcock
69 papers receiving 1.3k citations
Ben Adcock's Hit Papers
Peers
Comparison fields: 5 of 99
- Applied Mathematics 295
- Computational Mechanics 562
- Radiology, Nuclear Medicine and Imaging 496
- Numerical Analysis 107
- Computer Vision and Pattern Recognition 323
Countries citing papers authored by Ben Adcock
This map shows the geographic impact of Ben Adcock'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 Ben Adcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Adcock more than expected).
Fields of papers citing papers by Ben Adcock
This network shows the impact of papers produced by Ben Adcock. 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 Ben Adcock. The network helps show where Ben Adcock may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Adcock, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On instabilities of deep learning in image reconstruction and the potential costs of AI Hit paper breakdown → | 2020 | 414 |
| 2 | 2017 | 96 | |
| 3 | 2015 | 67 | |
| 4 | 2021 | 51 | |
| 5 | 2011 | 44 | |
| 6 | 2012 | 42 | |
| 7 | 2013 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2019 | 35 | |
| 10 | 2022 | 31 | |
| 11 | 2015 | 30 | |
| 12 | 2013 | 28 | |
| 13 | 2017 | 27 | |
| 14 | Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing | 2013 | 25 |
| 15 | 2013 | 23 | |
| 16 | 2010 | 23 | |
| 17 | 2014 | 18 | |
| 18 | 2020 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2014 | 16 |
About Ben Adcock
Ben Adcock is a scholar working on Computational Mechanics, Applied Mathematics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (32 papers), Image and Signal Denoising Methods (18 papers), Mathematical Analysis and Transform Methods (16 papers), Medical Imaging Techniques and Applications (15 papers), Mathematical functions and polynomials (11 papers), Probabilistic and Robust Engineering Design (11 papers), Advanced MRI Techniques and Applications (9 papers) and Numerical methods in inverse problems (8 papers). The work is most often cited by research in Applied Mathematics (295 citations), Computational Mechanics (562 citations), Radiology, Nuclear Medicine and Imaging (496 citations), Numerical Analysis (107 citations) and Computer Vision and Pattern Recognition (323 citations). Ben Adcock has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Anders C. Hansen, Clarice Poon, Vegard Antun, Francesco Renna, Daan Huybrechs, Bogdan Roman, Nick Dexter, Simone Brugiapaglia, Il Yong Chun and Milana Gatarić. Their work appears in journals such as Foundations of Computational Mathematics, Applied and Computational Harmonic Analysis, SIAM Journal on Numerical Analysis, Journal of Fourier Analysis and Applications and Constructive Approximation.
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.