Florian Knöll

8.0k citations
102 papers · 4.0k · 3 hit papers · h-index 29

Impact in

Papers in

    • Advanced MRI Techniques and Applications 49
    • Medical Imaging Techniques and Applications 46
    • MRI in cancer diagnosis 12
    • Radiomics and Machine Learning in Medical Imaging 12
    • Advanced Neuroimaging Techniques and Applications 8
    • Advanced X-ray and CT Imaging 12

Florian Knöll

90 papers receiving 3.9k citations

Florian Knöll's Hit Papers

Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI 2023 · 69 citations
690+5+10Years since publication250500750

Peers

Florian Knöll
Comparison fields: 5 of 155
  • Radiology, Nuclear Medicine and Imaging 2.8k
  • Health Informatics 105
  • Computational Mechanics 619
  • Computer Vision and Pattern Recognition 572
  • Computational Mathematics 16
Replace Jo Schlemper with:
Jo Schlemper United Kingdom
Stephen Cauley United States
Claudia Prieto United Kingdom
Julia A. Schnabel United Kingdom
Kerstin Hammernik Germany
Leslie Ying United States
Steven Haker United States
Kyle J. Myers United States
Hengyong Yu United States
Qiegen Liu China
Florian Knöll relative to Jo Schlemper United Kingdom Jo Schlemper's profile →
Citations per field
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Jo Schlemper · 1×
Citations per year

Countries citing papers authored by Florian Knöll

Since Specialization
Citations

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

Fields of papers citing papers by Florian Knöll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Knöll, 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 Florian Knöll Line = papers co-authored together Florian Knöll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning a variational network for reconstruction of accelerated MRI data
Hit paper breakdown →
2017975
2
Second order total generalized variation (TGV) for MRI
Hit paper breakdown →
2010431
3 2020205
4 2020160
5 2018142
6 2017139
7 2016138
8 2020128
9 2019104
10 201599
11 201391
12 201683
13 201182
14 201173
15
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI
Hit paper breakdown →
202369
16 201161
17 202355
18 202051
19 202150
20 201944

About Florian Knöll

Florian Knöll is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Plant Science and Computational Mechanics, having authored 102 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (49 papers), Medical Imaging Techniques and Applications (46 papers), Advanced X-ray and CT Imaging (12 papers), MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Smart Agriculture and AI (11 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Health Informatics (105 citations), Computational Mechanics (619 citations), Computer Vision and Pattern Recognition (572 citations) and Computational Mathematics (16 citations). Florian Knöll has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Thomas Pock, Daniel K. Sodickson, Kerstin Hammernik, Michael P. Recht, Kristian Bredies, Erich Kobler, Rudolf Stollberger, Patricia M. Johnson, Dana J. Lin and Stephan Hußmann. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, IEEE Transactions on Medical Imaging, Magnetic Resonance Materials in Physics Biology and Medicine and IEEE Signal Processing Magazine.

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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