Florian Knöll

8.0k total citations · 3 hit papers
102 papers, 4.0k citations indexed

About

Florian Knöll is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Florian Knöll has authored 102 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Biomedical Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Florian Knöll's work include Advanced MRI Techniques and Applications (49 papers), Medical Imaging Techniques and Applications (46 papers) and MRI in cancer diagnosis (12 papers). Florian Knöll is often cited by papers focused on Advanced MRI Techniques and Applications (49 papers), Medical Imaging Techniques and Applications (46 papers) and MRI in cancer diagnosis (12 papers). Florian Knöll collaborates with scholars based in United States, Austria and Germany. Florian Knöll's 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 and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Florian Knöll

90 papers receiving 3.9k 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.

Learning a variational network for reconstruction of accelerated MRI data

2017 975 citations Kerstin Hammernik, Erich Kobler et al. Magnetic Resonance in Medicine profile →
Second order total generalized variation (TGV) for MRI

2010 431 citations Florian Knöll, Kristian Bredies et al. Magnetic Resonance in Medicine profile →
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI

2023 69 citations Patricia M. Johnson, Dana J. Lin et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Knöll United States	29	2.8k	838	619	572	401	102	4.0k
Lucas J. van Vliet Netherlands	39	1.2k 0.4×	939 1.1×	304 0.5×	1.9k 3.3×	298 0.7×	249	5.2k
Jo Schlemper United Kingdom	10	1.8k 0.6×	584 0.7×	239 0.4×	939 1.6×	129 0.3×	13	2.8k
Rudolf Stollberger Austria	28	2.5k 0.9×	535 0.6×	306 0.5×	317 0.6×	295 0.7×	181	3.8k
Steven Haker United States	29	1.6k 0.5×	669 0.8×	592 1.0×	1.2k 2.1×	97 0.2×	65	3.8k
Diego Hernando United States	42	3.1k 1.1×	435 0.5×	273 0.4×	132 0.2×	208 0.5×	182	5.7k
Hector Sanchez Lopez Australia	18	1.4k 0.5×	838 1.0×	53 0.1×	467 0.8×	144 0.4×	64	2.1k
Li Feng United States	29	3.0k 1.0×	343 0.4×	250 0.4×	111 0.2×	840 2.1×	104	3.6k
Guang‐Hong Chen United States	34	2.6k 0.9×	2.2k 2.7×	140 0.2×	192 0.3×	370 0.9×	233	4.2k
Leslie Ying United States	33	3.1k 1.1×	1.1k 1.3×	1.2k 2.0×	555 1.0×	438 1.1×	157	4.1k
Xujiong Ye United Kingdom	21	1.4k 0.5×	416 0.5×	196 0.3×	882 1.5×	46 0.1×	66	2.6k

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-authorship network of co-authors of Florian Knöll

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Knöll. A scholar is included among the top collaborators of Florian Knöll 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 Florian Knöll. Florian Knöll 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

Kim, Jin-Ho, Dominik Nickel, & Florian Knöll. (2025). Deep Learning‐Based Accelerated MR Cholangiopancreatography Without Fully‐Sampled Data. NMR in Biomedicine. 38(3). e70002–e70002.

Zhao, Yujiao, et al.. (2024). MRI at low field: A review of software solutions for improving SNR. NMR in Biomedicine. 38(1). e5268–e5268. 6 indexed citations

Tan, Zhengguo, Eddy Solomon, Zhengnan Huang, et al.. (2024). Digital reference object toolkit of breast DCE MRI for quantitative evaluation of image reconstruction and analysis methods. Magnetic Resonance in Medicine. 92(4). 1728–1742.

Johnson, Patricia M., Dana J. Lin, Jure Žbontar, et al.. (2023). Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI. Radiology. 307(2). e220425–e220425. 69 indexed citations breakdown →

Knöll, Florian, et al.. (2023). Stable Deep MRI Reconstruction Using Generative Priors. IEEE Transactions on Medical Imaging. 42(12). 3817–3832. 7 indexed citations

Radmanesh, Alireza, Matthew J. Muckley, Tullie Murrell, et al.. (2022). Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI. Radiology Artificial Intelligence. 4(6). e210313–e210313. 21 indexed citations

Kobler, Erich, et al.. (2021). Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. IEEE Transactions on Medical Imaging. 41(2). 279–291. 33 indexed citations

Knöll, Florian, et al.. (2019). Vision-Based Deep Learning Approach for Real-Time Detection of Weeds in Organic Farming. 1–5. 24 indexed citations

Muckley, Matthew J., Baiyu Chen, Thomas O’Donnell, et al.. (2019). Image reconstruction for interrupted-beam x-ray CT on diagnostic clinical scanners. Physics in Medicine and Biology. 64(15). 155007–155007. 6 indexed citations

10.

Hußmann, Stephan, et al.. (2019). Development and evaluation of a low-cost delta robot system for weed control applications in organic farming. 1–5. 10 indexed citations

11.

Fernandez‐Granda, Carlos, et al.. (2018). Multicompartment magnetic resonance fingerprinting. Inverse Problems. 34(9). 94005–94005. 29 indexed citations

12.

Schramm, Georg, Martin Höller, Ahmadreza Rezaei, et al.. (2017). Evaluation of Parallel Level Sets and Bowsher’s Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. IEEE Transactions on Medical Imaging. 37(2). 590–603. 31 indexed citations

13.

Schneidewind, Laila, Thomas Neumann, Florian Knöll, et al.. (2017). Are the Polyomaviruses BK and JC Associated with Opportunistic Infections, Graft-versus-Host Disease, or Worse Outcomes in Adult Patients Receiving Their First Allogeneic Stem Cell Transplantation with Low-Dose Alemtuzumab?. Acta Haematologica. 138(1). 3–9. 3 indexed citations

14.

Knöll, Florian, Martin Höller, Thomas Koesters, et al.. (2016). Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. IEEE Transactions on Medical Imaging. 36(1). 1–16. 83 indexed citations

15.

Knöll, Florian, et al.. (2016). Multimodal image stitching algorithm for weed control applications in organic farming. 336–342. 3 indexed citations

16.

Veraart, Jelle, Els Fieremans, Ileana Jelescu, Florian Knöll, & Dmitry S. Novikov. (2015). Gibbs ringing in diffusion MRI. Magnetic Resonance in Medicine. 76(1). 301–314. 99 indexed citations

17.

Zitt, Emanuel, Florian Kronenberg, Ulrich Neyer, et al.. (2014). Iron Supplementation and Mortality in Incident Dialysis Patients: An Observational Study. PLoS ONE. 9(12). e114144–e114144. 34 indexed citations

18.

Knöll, Florian, Gerrit Schultz, Kristian Bredies, et al.. (2012). Reconstruction of undersampled radial PatLoc imaging using total generalized variation. Magnetic Resonance in Medicine. 70(1). 40–52. 22 indexed citations

19.

Keeling, Stephen L., Christian Clason, Michael Hintermüller, et al.. (2011). An image space approach to Cartesian based parallel MR imaging with total variation regularization. Medical Image Analysis. 16(1). 189–200. 14 indexed citations

20.

Knöll, Florian, Christian Clason, Clemens Diwoky, & Rudolf Stollberger. (2011). Adapted random sampling patterns for accelerated MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 24(1). 43–50. 61 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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