Vegard Antun

1.1k total citations · 1 hit paper
5 papers, 489 citations indexed

About

Vegard Antun is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Vegard Antun has authored 5 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Vegard Antun's work include Image and Signal Denoising Methods (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Medical Imaging Techniques and Applications (1 paper). Vegard Antun is often cited by papers focused on Image and Signal Denoising Methods (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Medical Imaging Techniques and Applications (1 paper). Vegard Antun collaborates with scholars based in United Kingdom, Norway and Canada. Vegard Antun's co-authors include Anders C. Hansen, Ben Adcock, Clarice Poon, Francesco Renna, Matthew J. Colbrook, Øyvind Ryan and Anders J. Hansen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SIAM Review and Acta Applicandae Mathematicae.

In The Last Decade

Vegard Antun

5 papers receiving 479 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, Francesco Renna et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vegard Antun United Kingdom	3	281	152	90	83	72	5	489
Clarice Poon United Kingdom	10	380 1.4×	224 1.5×	72 0.8×	273 3.3×	159 2.2×	20	717
Jacob Hinkle United States	15	163 0.6×	94 0.6×	115 1.3×	42 0.5×	101 1.4×	47	578
Hyungjin Chung South Korea	10	327 1.2×	126 0.8×	75 0.8×	52 0.6×	198 2.8×	19	598
Kehong Yuan China	12	389 1.4×	254 1.7×	104 1.2×	42 0.5×	175 2.4×	48	609
Burhaneddin Yaman United States	13	432 1.5×	114 0.8×	43 0.5×	78 0.9×	106 1.5×	31	603
Alper Güngör Türkiye	11	236 0.8×	290 1.9×	102 1.1×	140 1.7×	189 2.6×	41	726
Simiao Yu United Kingdom	3	490 1.7×	194 1.3×	83 0.9×	187 2.3×	330 4.6×	3	834
Luc Meyer France	6	196 0.7×	116 0.8×	57 0.6×	95 1.1×	47 0.7×	20	404
Zhuo‐Xu Cui China	10	219 0.8×	68 0.4×	25 0.3×	92 1.1×	87 1.2×	37	326
Martin Höller Austria	14	231 0.8×	102 0.7×	20 0.2×	189 2.3×	240 3.3×	41	613

Countries citing papers authored by Vegard Antun

Since Specialization

Citations

This map shows the geographic impact of Vegard Antun'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 Vegard Antun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vegard Antun more than expected).

Fields of papers citing papers by Vegard Antun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vegard Antun. 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 Vegard Antun. The network helps show where Vegard Antun may publish in the future.

Co-authorship network of co-authors of Vegard Antun

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

All Works

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5 of 5 papers shown

1.

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

2.

Colbrook, Matthew J., Vegard Antun, & Anders J. Hansen. (2022). Mathematical paradoxes unearth the boundaries of AI. 8(3). 1 indexed citations

3.

Colbrook, Matthew J., Vegard Antun, & Anders C. Hansen. (2022). The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale’s 18th problem. Proceedings of the National Academy of Sciences. 119(12). e2107151119–e2107151119. 69 indexed citations

4.

Antun, Vegard & Øyvind Ryan. (2021). On the Unification of Schemes and Software for Wavelets on the Interval. Acta Applicandae Mathematicae. 173(1). 2 indexed citations

5.

Antun, Vegard, Francesco Renna, Clarice Poon, Ben Adcock, & Anders C. Hansen. (2020). On instabilities of deep learning in image reconstruction and the potential costs of AI. Proceedings of the National Academy of Sciences. 117(48). 30088–30095. 414 indexed citations breakdown →

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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