Anders C. Hansen

38 papers receiving 1.1k citations

Anders C. Hansen's Hit Papers

On instabilities of deep learning in image reconstruction and the potential costs of AI 2020 · 414 citations
4140+2+4Years since publication100200300400

Peers

Anders C. Hansen
Comparison fields: 5 of 102
  • Radiology, Nuclear Medicine and Imaging 481
  • Applied Mathematics 211
  • Computational Mechanics 405
  • Mathematical Physics 143
  • Health Informatics 19
Replace Ben Adcock with:
Ben Adcock Canada
Clarice Poon United Kingdom
Bradley J. Lucier United States
Markus Grasmair Austria
Stefan Kunis Germany
Gerlind Plonka Germany
Laure Blanc‐Féraud France
Yifei Lou United States
Christian Clason Austria
Gerd Teschke Germany
Anders C. Hansen relative to Ben Adcock Canada Ben Adcock's profile →
Citations per field
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Countries citing papers authored by Anders C. Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Anders C. Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anders C. Hansen. 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 Anders C. Hansen. The network helps show where Anders C. Hansen may publish in the future.

Co-authors

The 18 scholars most cited alongside Anders C. Hansen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anders C. Hansen Line = papers co-authored together Anders C. Hansen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 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 →
2020414
2 201796
3 202269
4 201567
5 201047
6 201144
7 200843
8 201242
9 201937
10 201337
11
Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing
201325
12 201323
13 201621
14 201418
15 201118
16 201616
17 201416
18 201015
19 201214
20 201513

About Anders C. Hansen

Anders C. Hansen is a scholar working on Applied Mathematics, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (15 papers), Sparse and Compressive Sensing Techniques (15 papers), Medical Imaging Techniques and Applications (12 papers), Image and Signal Denoising Methods (12 papers), Advanced MRI Techniques and Applications (6 papers), Matrix Theory and Algorithms (6 papers), Spectral Theory in Mathematical Physics (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (481 citations), Applied Mathematics (211 citations), Computational Mechanics (405 citations), Mathematical Physics (143 citations) and Health Informatics (19 citations). Anders C. Hansen has collaborated with scholars based in United Kingdom, Canada and Norway. Frequent co-authors include Ben Adcock, Clarice Poon, Vegard Antun, Francesco Renna, Bogdan Roman, Matthew J. Colbrook, Milana Gatarić, John Strain, Olavi Nevanlinna and Alexei Shadrin. Their work appears in journals such as Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications, SIAM Journal on Mathematical Analysis, Proceedings of the National Academy of Sciences and SIAM Journal on Imaging Sciences.

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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