Jakob Assländer

978 total citations
29 papers, 666 citations indexed

About

Jakob Assländer is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cognitive Neuroscience. According to data from OpenAlex, Jakob Assländer has authored 29 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Spectroscopy and 5 papers in Cognitive Neuroscience. Recurrent topics in Jakob Assländer's work include Advanced MRI Techniques and Applications (24 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Advanced NMR Techniques and Applications (9 papers). Jakob Assländer is often cited by papers focused on Advanced MRI Techniques and Applications (24 papers), Advanced Neuroimaging Techniques and Applications (12 papers) and Advanced NMR Techniques and Applications (9 papers). Jakob Assländer collaborates with scholars based in United States, Germany and France. Jakob Assländer's co-authors include Jürgen Hennig, Riccardo Lattanzi, Martijn A. Cloos, Daniel K. Sodickson, Steffen J. Glaser, Pierre LeVan, Benjamin Zahneisen, Florian Knöll, Marco Reisert and Thimo Hugger and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Jakob Assländer

24 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakob Assländer United States 13 569 169 106 62 48 29 666
Cynthia Wisnieff United States 8 949 1.7× 188 1.1× 121 1.1× 63 1.0× 42 0.9× 9 1.2k
Franck Mauconduit France 17 486 0.9× 90 0.5× 120 1.1× 153 2.5× 53 1.1× 61 656
Thies H. Jochimsen Germany 17 631 1.1× 104 0.6× 63 0.6× 49 0.8× 54 1.1× 34 747
Karsten Sommer Germany 8 824 1.4× 185 1.1× 73 0.7× 45 0.7× 34 0.7× 11 1.1k
Francesco Padormo United Kingdom 11 425 0.7× 164 1.0× 99 0.9× 85 1.4× 34 0.7× 24 665
Arnaud Guidon United States 14 904 1.6× 187 1.1× 72 0.7× 33 0.5× 19 0.4× 30 1.0k
Barbara Dymerska Austria 14 526 0.9× 131 0.8× 164 1.5× 64 1.0× 68 1.4× 28 726
L. Martyn Klassen Canada 15 448 0.8× 184 1.1× 85 0.8× 128 2.1× 37 0.8× 28 567
Congyu Liao United States 15 715 1.3× 50 0.3× 111 1.0× 57 0.9× 29 0.6× 66 804
Heidi A. Ward United States 9 590 1.0× 117 0.7× 128 1.2× 43 0.7× 27 0.6× 18 729

Countries citing papers authored by Jakob Assländer

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Assländer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Assländer

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

All Works

20 of 20 papers shown
1.
Assländer, Jakob, et al.. (2025). Magnetization transfer explains most of the T 1 variability in the MRI literature. Magnetic Resonance in Medicine. 94(1). 293–301. 4 indexed citations
2.
Rosa, Francesco La, Amit Kumar Kohli, Pietro Maggi, et al.. (2025). A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation. Journal of Neuroimaging. 35(5). e70085–e70085.
3.
Assländer, Jakob, et al.. (2024). Unconstrained quantitative magnetization transfer imaging: Disentangling T1 of the free and semi-solid spin pools. Imaging Neuroscience. 2. 6 indexed citations
4.
Assländer, Jakob, et al.. (2024). Rational approximation of golden angles: Accelerated reconstructions for radial MRI. Magnetic Resonance in Medicine. 93(1). 51–66.
5.
Assländer, Jakob, et al.. (2024). Bias‐reduced neural networks for parameter estimation in quantitative MRI. Magnetic Resonance in Medicine. 92(4). 1638–1648. 4 indexed citations
6.
Assländer, Jakob, et al.. (2024). Cramér–Rao Bound Optimized Subspace Reconstruction in Quantitative MRI. IEEE Transactions on Biomedical Engineering. 72(1). 217–226. 1 indexed citations
7.
Assländer, Jakob, et al.. (2023). Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model. Magnetic Resonance in Medicine. 91(4). 1478–1497. 6 indexed citations
8.
Assländer, Jakob, et al.. (2023). MRI contrast synthesis from low-rank coefficient images. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
9.
Assländer, Jakob, et al.. (2023). Quantitative magnetization transfer: Estimation of the Semi-Solid Spin Pool's T1. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
10.
Assländer, Jakob, et al.. (2021). Generalized Bloch model: A theory for pulsed magnetization transfer. Magnetic Resonance in Medicine. 87(4). 2003–2017. 14 indexed citations
11.
Assländer, Jakob. (2020). A Perspective on MR Fingerprinting. Journal of Magnetic Resonance Imaging. 53(3). 676–685. 24 indexed citations
12.
Fernandez‐Granda, Carlos, et al.. (2018). Multicompartment magnetic resonance fingerprinting. Inverse Problems. 34(9). 94005–94005. 29 indexed citations
13.
Zhao, Tiejun, et al.. (2018). Exploring the sensitivity of magnetic resonance fingerprinting to motion. Magnetic Resonance Imaging. 54. 241–248. 38 indexed citations
14.
Cloos, Martijn A., et al.. (2018). Rapid Radial T 1 and T 2 Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting. Journal of Magnetic Resonance Imaging. 50(3). 810–815. 45 indexed citations
15.
Assländer, Jakob, Riccardo Lattanzi, Daniel K. Sodickson, & Martijn A. Cloos. (2017). Relaxation in Spherical Coordinates: Analysis and Optimization of pseudo-SSFP based MR-Fingerprinting. arXiv (Cornell University). 8 indexed citations
16.
Lattanzi, Riccardo, Bei Zhang, Florian Knöll, Jakob Assländer, & Martijn A. Cloos. (2017). Phase unwinding for dictionary compression with multiple channel transmission in magnetic resonance fingerprinting. Magnetic Resonance Imaging. 49. 32–38. 4 indexed citations
17.
Jacobs, Julia, Georgia Ramantani, Jakob Assländer, et al.. (2014). Negative BOLD in default-mode structures measured with EEG-MREG is larger in temporal than extra-temporal epileptic spikes. Frontiers in Neuroscience. 8. 335–335. 17 indexed citations
18.
Jacobs, Julia, Benjamin Zahneisen, Jakob Assländer, et al.. (2013). Fast fMRI provides high statistical power in the analysis of epileptic networks. NeuroImage. 88. 282–294. 39 indexed citations
19.
Assländer, Jakob, Benjamin Zahneisen, Thimo Hugger, et al.. (2013). Single shot whole brain imaging using spherical stack of spirals trajectories. NeuroImage. 73. 59–70. 86 indexed citations
20.
Zahneisen, Benjamin, Thimo Hugger, Kuan J. Lee, et al.. (2011). Single shot concentric shells trajectories for ultra fast fMRI. Magnetic Resonance in Medicine. 68(2). 484–494. 68 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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