Ben Adcock

4.0k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

Ben Adcock is a scholar working on Computational Mechanics, Applied Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ben Adcock has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Mechanics, 26 papers in Applied Mathematics and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ben Adcock's work include Sparse and Compressive Sensing Techniques (32 papers), Image and Signal Denoising Methods (18 papers) and Mathematical Analysis and Transform Methods (16 papers). Ben Adcock is often cited by papers focused on Sparse and Compressive Sensing Techniques (32 papers), Image and Signal Denoising Methods (18 papers) and Mathematical Analysis and Transform Methods (16 papers). Ben Adcock collaborates with scholars based in Canada, United Kingdom and United States. Ben Adcock's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and IEEE Transactions on Information Theory.

In The Last Decade

Ben Adcock

69 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On instabilities of deep learning in image reconstruction and the potential costs of AI

2020 414 citations Vegard Antun, Clarice Poon et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ben Adcock Canada	18	562	496	323	305	295	72	1.4k
Anders C. Hansen United Kingdom	17	405 0.7×	481 1.0×	268 0.8×	266 0.9×	211 0.7×	39	1.2k
Yifei Lou United States	25	1.0k 1.8×	520 1.0×	994 3.1×	587 1.9×	60 0.2×	80	2.2k
Serena Morigi Italy	20	558 1.0×	117 0.2×	488 1.5×	215 0.7×	133 0.5×	83	1.4k
Gerlind Plonka Germany	23	559 1.0×	130 0.3×	1.1k 3.3×	162 0.5×	288 1.0×	95	1.8k
C. Si̇nan Güntürk United States	12	594 1.1×	98 0.2×	462 1.4×	327 1.1×	112 0.4×	25	1.2k
James G. Nagy United States	26	905 1.6×	266 0.5×	1.1k 3.4×	445 1.5×	230 0.8×	107	2.5k
Bradley J. Lucier United States	18	597 1.1×	123 0.2×	1.1k 3.4×	169 0.6×	300 1.0×	44	1.9k
Guy Gilboa Israel	16	779 1.4×	229 0.5×	2.1k 6.4×	222 0.7×	208 0.7×	48	2.9k
Rachel Ward United States	19	811 1.4×	111 0.2×	339 1.0×	266 0.9×	51 0.2×	64	1.4k
Andreas Rieder Germany	20	239 0.4×	171 0.3×	249 0.8×	257 0.8×	181 0.6×	63	1.1k

Countries citing papers authored by Ben Adcock

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ben Adcock

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Adcock. A scholar is included among the top collaborators of Ben Adcock 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 Ben Adcock. Ben Adcock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Adcock, Ben, et al.. (2025). Optimal approximation of infinite-dimensional holomorphic functions II: Recovery from i.i.d. pointwise samples. Journal of Complexity. 89. 101933–101933.

Adcock, Ben, et al.. (2025). Restarts Subject to Approximate Sharpness: A Parameter-Free and Optimal Scheme For First-Order Methods. Foundations of Computational Mathematics.

Antun, Vegard, et al.. (2025). The Troublesome Kernel: On Hallucinations, No Free Lunches, and the Accuracy-Stability Tradeoff in Inverse Problems. SIAM Review. 67(1). 73–104. 3 indexed citations

Adcock, Ben, et al.. (2024). On Efficient Algorithms for Computing Near-Best Polynomial Approximations to High-Dimensional, Hilbert-Valued Functions from Limited Samples. 2 indexed citations

Adcock, Ben, et al.. (2024). Optimal approximation of infinite-dimensional holomorphic functions. CALCOLO. 61(1). 5 indexed citations

Adcock, Ben, et al.. (2024). Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks. Neural Networks. 181. 106761–106761. 3 indexed citations

Adcock, Ben, et al.. (2024). Optimal deep learning of holomorphic operators between Banach spaces. 27725–27789. 1 indexed citations

Adcock, Ben, et al.. (2023). Publisher Correction: NESTANets: stable, accurate and efficient neural networks for analysis-sparse inverse problems. 21(1). 1 indexed citations

Adcock, Ben, Simone Brugiapaglia, & Clayton Webster. (2022). Sparse Polynomial Approximation of High-Dimensional Functions. Society for Industrial and Applied Mathematics eBooks. 31 indexed citations

10.

Adcock, Ben, Simone Brugiapaglia, & Clayton Webster. (2017). Polynomial approximation of high-dimensional functions via compressed sensing. arXiv (Cornell University). 1 indexed citations

11.

Adcock, Ben, Milana Gatarić, & José Luis Romero. (2017). Computing reconstructions from nonuniform Fourier samples: Universality of stability barriers and stable sampling rates. Applied and Computational Harmonic Analysis. 46(2). 226–249. 3 indexed citations

12.

Li, Chen & Ben Adcock. (2017). Compressed sensing with local structure: Uniform recovery guarantees for the sparsity in levels class. Applied and Computational Harmonic Analysis. 46(3). 453–477. 15 indexed citations

13.

Chun, Il Yong, Chen Li, & Ben Adcock. (2016). Sparsity and parallel acquisition: Optimal uniform and nonuniform recovery guarantees. 1–6. 1 indexed citations

14.

Adcock, Ben, Milana Gatarić, & Anders C. Hansen. (2015). Weighted frames of exponentials and stable recovery of multidimensional functions from nonuniform Fourier samples. Applied and Computational Harmonic Analysis. 42(3). 508–535. 9 indexed citations

15.

Adcock, Ben, Anders C. Hansen, Clarice Poon, & Bogdan Roman. (2013). Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing. arXiv (Cornell University). 25 indexed citations

16.

Adcock, Ben & Daan Huybrechs. (2013). On the resolution power of Fourier extensions for oscillatory functions. Journal of Computational and Applied Mathematics. 260. 312–336. 28 indexed citations

17.

Adcock, Ben, Anders C. Hansen, & Clarice Poon. (2013). On optimal wavelet reconstructions from Fourier samples: Linearity and universality of the stable sampling rate. Applied and Computational Harmonic Analysis. 36(3). 387–415. 23 indexed citations

18.

Adcock, Ben & Anders C. Hansen. (2012). A Generalized Sampling Theorem for Stable Reconstructions in Arbitrary Bases. Journal of Fourier Analysis and Applications. 18(4). 685–716. 42 indexed citations

19.

Adcock, Ben. (2011). On the convergence of expansions in polyharmonic eigenfunctions. Journal of Approximation Theory. 163(11). 1638–1674. 2 indexed citations

20.

Adcock, Ben & Anders C. Hansen. (2011). Stable reconstructions in Hilbert spaces and the resolution of the Gibbs phenomenon. Applied and Computational Harmonic Analysis. 32(3). 357–388. 44 indexed citations

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.

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