Malte Hoffmann

841 total citations · 1 hit paper
29 papers, 349 citations indexed

About

Malte Hoffmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Malte Hoffmann has authored 29 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Malte Hoffmann's work include Advanced MRI Techniques and Applications (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Malte Hoffmann is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Malte Hoffmann collaborates with scholars based in United States, Germany and United Kingdom. Malte Hoffmann's co-authors include Evelina Fedorenko, Olessia Jouravlev, Zachary Mineroff, Josef Affourtit, Saima Malik-Moraleda, Jeanne Gallée, Adrian V. Dalca, Bruce Fischl, Douglas N. Greve and Benjamin Billot and has published in prestigious journals such as Nature Neuroscience, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Malte Hoffmann

25 papers receiving 344 citations

Hit Papers

An investigation across 45 languages and 12 language fami... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malte Hoffmann United States 9 166 59 59 34 29 29 349
Madlaine Müller Germany 7 177 1.1× 39 0.7× 37 0.6× 33 1.0× 82 2.8× 15 337
Shun‐nan Yang United States 11 208 1.3× 79 1.3× 70 1.2× 42 1.2× 36 1.2× 24 417
Claude J. Bajada Malta 10 297 1.8× 178 3.0× 24 0.4× 49 1.4× 46 1.6× 20 431
Cameron T. Ellis United States 11 311 1.9× 44 0.7× 73 1.2× 30 0.9× 42 1.4× 27 420
Takaaki Goto Japan 9 92 0.6× 39 0.7× 28 0.5× 14 0.4× 10 0.3× 68 310
Yunqi Wang China 10 147 0.9× 60 1.0× 90 1.5× 21 0.6× 5 0.2× 25 324
Hugo L. Fernandes United States 13 396 2.4× 54 0.9× 26 0.4× 32 0.9× 82 2.8× 18 594
Xiaobin Zhang China 10 203 1.2× 45 0.8× 25 0.4× 10 0.3× 11 0.4× 29 351
Min Lü China 10 251 1.5× 181 3.1× 26 0.4× 11 0.3× 25 0.9× 23 432

Countries citing papers authored by Malte Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Malte Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malte Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Malte Hoffmann. A scholar is included among the top collaborators of Malte Hoffmann 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 Malte Hoffmann. Malte Hoffmann 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
2.
Hoffmann, Malte, et al.. (2025). SingleStrip: Learning Skull-Stripping from a Single Labeled Example. Lecture notes in computer science. 16191. 42–52.
3.
Hoffmann, Malte, et al.. (2025). MultiMorph: On-Demand Atlas Construction. 30906–30917.
4.
Billot, Benjamin, Daniel Moyer, Malte Hoffmann, et al.. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging. 43(11). 4029–4040. 2 indexed citations
5.
Dalca, Adrian V., et al.. (2024). Boosting Skull-Stripping Performance for Pediatric Brain Images. PubMed. 2024. 1–5. 7 indexed citations
6.
Wighton, Paul, Robert Frost, Malte Hoffmann, et al.. (2024). MR software tools for real-time decision making and FOV prescription. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
7.
Hoffmann, Malte, et al.. (2024). Anatomy-aware and acquisition-agnostic joint registration with SynthMorph. Imaging Neuroscience. 2. 1–33. 8 indexed citations
8.
Weiser, Paul, Georg Langs, Stanislav Motyka, et al.. (2024). WALINET: A water and lipid identification convolutional neural network for nuisance signal removal in  1H$$ {}^1\mathrm{H} $$ MR spectroscopic imaging. Magnetic Resonance in Medicine. 93(4). 1430–1442. 1 indexed citations
9.
Hoffmann, Malte, et al.. (2023). Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. 1–1. 8 indexed citations
10.
Lipkin, Benjamin, Greta Tuckute, Josef Affourtit, et al.. (2022). Probabilistic atlas for the language network based on precision fMRI data from >800 individuals. Scientific Data. 9(1). 529–529. 67 indexed citations
11.
Malik-Moraleda, Saima, Jeanne Gallée, Josef Affourtit, et al.. (2022). An investigation across 45 languages and 12 language families reveals a universal language network. Nature Neuroscience. 25(8). 1014–1019. 113 indexed citations breakdown →
12.
Hoffmann, Malte, et al.. (2022). Learning the Effect of Registration Hyperparameters with HyperMorph. PubMed. 1(IPMI 2021). 1–30. 13 indexed citations
13.
Hoffmann, Malte, Esra Abacı Türk, Borjan Gagoski, et al.. (2021). Rapid head‐pose detection for automated slice prescription of fetal‐brain MRI. International Journal of Imaging Systems and Technology. 31(3). 1136–1154. 9 indexed citations
14.
Greve, Douglas N., Benjamin Billot, Malte Hoffmann, et al.. (2021). A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images. NeuroImage. 244. 118610–118610. 47 indexed citations
15.
Hoffmann, Malte, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, & Adrian V. Dalca. (2020). Learning Multi-Modal Image Registration without Real Data. arXiv (Cornell University). 1 indexed citations
16.
Hoffmann, Malte, Robert Frost, David H. Salat, et al.. (2020). Real-time brain masking algorithm improves motion tracking accuracy in scans with volumetric navigators (vNavs).. PubMed. 2020. 2 indexed citations
17.
Boll, Christina & Malte Hoffmann. (2015). It's Not All About Parentss Education, It Also Matters what They Do. Parents' Employment and Children's School Success in Germany. SSRN Electronic Journal. 1 indexed citations
18.
Hoffmann, Malte, T. Adrian Carpenter, Guy Williams, & Stephen J. Sawiak. (2014). A survey of patient motion in disorders of consciousness and optimization of its retrospective correction. Magnetic Resonance Imaging. 33(3). 346–350. 8 indexed citations
19.
Hoffmann, Malte, et al.. (2012). Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs. 4 indexed citations
20.
Hoffmann, Malte, Frank Ludwig, & Tomasz Jeżyński. (2006). CONSIDERATIONS FOR THE CHOICE OF THE INTERMEDIATE FREQUENCY AND SAMPLING RATE FOR DIGITAL RF CONTROL. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026