Lars Ruthotto

2.0k total citations
41 papers, 881 citations indexed

About

Lars Ruthotto is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Lars Ruthotto has authored 41 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Statistical and Nonlinear Physics and 10 papers in Computational Mechanics. Recurrent topics in Lars Ruthotto's work include Advanced MRI Techniques and Applications (14 papers), Model Reduction and Neural Networks (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Lars Ruthotto is often cited by papers focused on Advanced MRI Techniques and Applications (14 papers), Model Reduction and Neural Networks (10 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Lars Ruthotto collaborates with scholars based in United States, Germany and Canada. Lars Ruthotto's co-authors include Martin Burger, Eldad Haber, Jan Modersitzki, Samy Wu Fung, Carsten H. Wolters, Levon Nurbekyan, Stanley Osher, Elliot Holtham, Wuchen Li and Klaus Schäfers and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Medical Imaging.

In The Last Decade

Lars Ruthotto

38 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lars Ruthotto United States 12 358 164 161 152 103 41 881
Leonid Zhukov United States 18 277 0.8× 161 1.0× 75 0.5× 185 1.2× 193 1.9× 50 1.0k
Xavier Tricoche United States 21 251 0.7× 511 3.1× 143 0.9× 67 0.4× 220 2.1× 58 1.5k
Remco Duits Netherlands 18 572 1.6× 557 3.4× 33 0.2× 76 0.5× 106 1.0× 72 1.1k
Qinghua Zhao China 12 255 0.7× 525 3.2× 54 0.3× 351 2.3× 116 1.1× 41 1.2k
Mukund Balasubramanian United States 12 210 0.6× 284 1.7× 43 0.3× 222 1.5× 260 2.5× 27 951
Luc Florack Netherlands 19 379 1.1× 1.1k 7.0× 48 0.3× 133 0.9× 121 1.2× 101 1.8k
François‐Xavier Vialard France 11 134 0.4× 230 1.4× 75 0.5× 87 0.6× 20 0.2× 30 714
Rongjie Lai United States 18 130 0.4× 399 2.4× 46 0.3× 81 0.5× 51 0.5× 60 1.0k
Ping Sun China 18 46 0.1× 220 1.3× 179 1.1× 201 1.3× 57 0.6× 44 1.1k
Harald Köstler Germany 19 104 0.3× 156 1.0× 40 0.2× 84 0.6× 74 0.7× 86 1.2k

Countries citing papers authored by Lars Ruthotto

Since Specialization
Citations

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

Fields of papers citing papers by Lars Ruthotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Ruthotto

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Ruthotto. A scholar is included among the top collaborators of Lars Ruthotto 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 Lars Ruthotto. Lars Ruthotto 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.
Marzouk, Youssef, et al.. (2025). Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference. SIAM Journal on Scientific Computing. 47(4). C979–C1005.
2.
Li, Xingjian, et al.. (2024). A Neural Network Approach for Stochastic Optimal Control. SIAM Journal on Scientific Computing. 46(5). C535–C556. 5 indexed citations
3.
Ruthotto, Lars, et al.. (2024). PyHySCO: GPU-enabled susceptibility artifact distortion correction in seconds. Frontiers in Neuroscience. 18. 1406821–1406821. 1 indexed citations
4.
Ruthotto, Lars, et al.. (2024). Neural network approaches for parameterized optimal control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7(1). 363–385. 1 indexed citations
5.
Nurbekyan, Levon, et al.. (2022). A Neural Network Approach for High-Dimensional Optimal Control Applied to Multiagent Path Finding. IEEE Transactions on Control Systems Technology. 31(1). 235–251. 19 indexed citations
6.
Chung, Julianne, et al.. (2022). slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks. SIAM Journal on Scientific Computing. 44(4). A2322–A2348. 4 indexed citations
7.
Kan, Kelvin K.W., Samy Wu Fung, & Lars Ruthotto. (2021). PNKH-B: A Projected Newton--Krylov Method for Large-Scale Bound-Constrained Optimization. SIAM Journal on Scientific Computing. 43(5). S704–S726. 5 indexed citations
8.
Haber, Eldad, et al.. (2020). ADMM-Softmax: an ADMM approach for multinomial logistic regression. ETNA - Electronic Transactions on Numerical Analysis. Oesterreichisches Musiklexikon online (Institut für kunst- und musikhistorische Forschungen der Österreichischen Akademie der Wissenschaften). 8 indexed citations
9.
Ruthotto, Lars, et al.. (2020). LeanConvNets: Low-Cost Yet Effective Convolutional Neural Networks. IEEE Journal of Selected Topics in Signal Processing. 14(4). 894–904. 6 indexed citations
10.
Haber, Eldad, et al.. (2019). IMEXnet - A Forward Stable Deep Neural Network. International Conference on Machine Learning. 2525–2534. 4 indexed citations
11.
Ruthotto, Lars, Stanley Osher, Wuchen Li, Levon Nurbekyan, & Samy Wu Fung. (2019). A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems. arXiv (Cornell University). 116 indexed citations
12.
Tabelow, Karsten, Evelyne Balteau, John Ashburner, et al.. (2019). hMRI – A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage. 194. 191–210. 145 indexed citations
13.
Callaghan, Martina F., Antoine Lutti, John Ashburner, et al.. (2019). Example dataset for the hMRI toolbox. SHILAP Revista de lepidopterología. 25. 104132–104132. 20 indexed citations
14.
Balteau, Evelyne, Karsten Tabelow, John Ashburner, et al.. (2018). hMRI -- A toolbox for using quantitative MRI in neuroscience and clinical research. Lund University Publications (Lund University). 1 indexed citations
15.
Chang, Bo, et al.. (2018). Reversible Architectures for Arbitrarily Deep Residual Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 93 indexed citations
16.
Mohammadi, Siawoosh, Karsten Tabelow, Lars Ruthotto, et al.. (2015). High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing. Frontiers in Neuroscience. 8. 427–427. 21 indexed citations
17.
Ruthotto, Lars, Siawoosh Mohammadi, & Nikolaus Weiskopf. (2014). A new method for joint susceptibility artefact correction and super-resolution for dMRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90340P–90340P. 3 indexed citations
18.
Ruthotto, Lars, Harald Kugel, Janine Olesch, et al.. (2012). Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images. Physics in Medicine and Biology. 57(18). 5715–5731. 81 indexed citations
19.
Ruthotto, Lars, et al.. (2011). Motion Correction in Dual Gated Cardiac PET Using Mass-Preserving Image Registration. IEEE Transactions on Medical Imaging. 31(3). 698–712. 98 indexed citations
20.
Ruthotto, Lars, et al.. (2010). Motion correction of cardiac PET using mass-preserving registration. 3317–3319. 7 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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