Matthias Nau

1.3k total citations · 1 hit paper
17 papers, 538 citations indexed

About

Matthias Nau is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matthias Nau has authored 17 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Matthias Nau's work include Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (9 papers) and Face Recognition and Perception (3 papers). Matthias Nau is often cited by papers focused on Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (9 papers) and Face Recognition and Perception (3 papers). Matthias Nau collaborates with scholars based in Germany, United States and Norway. Matthias Nau's co-authors include Christian F. Doeller, Tobias Navarro Schröder, Jacob L. S. Bellmund, Markus Frey, Joshua B. Julian, Jesse Breedlove, Franco Pestilli, Logan T. Dowdle, Kendrick Kay and Bradley Caron and has published in prestigious journals such as Nature Communications, Nature Neuroscience and NeuroImage.

In The Last Decade

Matthias Nau

15 papers receiving 534 citations

Hit Papers

align trajectories sort by overperformance

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.

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

2021 211 citations Emily Allen, Ghislain St-Yves et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthias Nau Germany	10	435	87	84	48	42	17	538
Sander Bosch Netherlands	14	760 1.7×	84 1.0×	96 1.1×	42 0.9×	44 1.0×	19	920
Stephen D. Auger United Kingdom	9	310 0.7×	86 1.0×	31 0.4×	19 0.4×	41 1.0×	17	432
Michael J. Starrett United States	10	560 1.3×	60 0.7×	40 0.5×	19 0.4×	56 1.3×	14	679
Florian Raudies United States	14	530 1.2×	228 2.6×	117 1.4×	28 0.6×	12 0.3×	27	696
Iris I. A. Groen Netherlands	15	782 1.8×	50 0.6×	278 3.3×	29 0.6×	31 0.7×	34	924
Arash Yazdanbakhsh United States	15	528 1.2×	59 0.7×	59 0.7×	31 0.6×	40 1.0×	39	600
Konstantin Mergenthaler Germany	7	537 1.2×	69 0.8×	86 1.0×	19 0.4×	19 0.5×	7	671
Won Mok Shim United States	15	700 1.6×	32 0.4×	64 0.8×	14 0.3×	29 0.7×	39	771
Lindsay K. Vass United States	6	514 1.2×	97 1.1×	75 0.9×	30 0.6×	103 2.5×	6	596
Anthony Stigliani United States	11	578 1.3×	24 0.3×	99 1.2×	10 0.2×	54 1.3×	16	643

Countries citing papers authored by Matthias Nau

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Nau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Nau

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

All Works

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17 of 17 papers shown

Kidder, Alexis, Edward H. Silson, Matthias Nau, & Chris I. Baker. (2025). Distributed Cortical Regions for the Recall of People, Places, and Objects. eNeuro. 12(1). ENEURO.0496–24.2024. 2 indexed citations

Nau, Matthias, et al.. (2025). Emotional arousal enhances narrative memories through functional integration of large-scale brain networks. Nature Human Behaviour. 10(2). 370–383.

Nau, Matthias, Juan Antonio Lossio-Ventura, Francisco Pereira, et al.. (2025). Neural and behavioral reinstatement jointly reflect retrieval of narrative events. Nature Communications. 16(1). 7865–7865. 1 indexed citations

Nau, Matthias, et al.. (2024). Centering cognitive neuroscience on task demands and generalization. Nature Neuroscience. 27(9). 1656–1667. 13 indexed citations

Nau, Matthias, Janice Chen, Christopher Baldassano, et al.. (2023). Linking brain activity during viewing and recall of movie events through gaze behavior. Journal of Vision. 23(9). 4757–4757. 1 indexed citations

Nau, Matthias, et al.. (2022). Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing. eLife. 11. 13 indexed citations

Nau, Matthias, et al.. (2022). Gaze-dependent brain activity during narrative perception and recall. Journal of Vision. 22(14). 4130–4130. 1 indexed citations

Allen, Emily, Ghislain St-Yves, Yihan Wu, et al.. (2021). A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience. 25(1). 116–126. 211 indexed citations breakdown →

Frey, Markus, Matthias Nau, & Christian F. Doeller. (2021). Magnetic resonance-based eye tracking using deep neural networks. Nature Neuroscience. 24(12). 1772–1779. 35 indexed citations

10.

Frey, Markus, Catherine Perrodin, Matthias Nau, et al.. (2021). Interpreting wide-band neural activity using convolutional neural networks. eLife. 10. 14 indexed citations

11.

Nau, Matthias, Tobias Navarro Schröder, Markus Frey, & Christian F. Doeller. (2020). Behavior-dependent directional tuning in the human visual-navigation network. Nature Communications. 11(1). 3247–3247. 29 indexed citations

12.

Nau, Matthias. (2019). Functional imaging of the human medial temporal lobe. OSF Preprints (OSF Preprints). 4 indexed citations

13.

Bellmund, Jacob L. S., et al.. (2019). Deforming the metric of cognitive maps distorts memory. Nature Human Behaviour. 4(2). 177–188. 40 indexed citations

14.

Nau, Matthias, Tobias Navarro Schröder, Jacob L. S. Bellmund, & Christian F. Doeller. (2018). Hexadirectional coding of visual space in human entorhinal cortex. Nature Neuroscience. 21(2). 188–190. 106 indexed citations

15.

Nau, Matthias, Andreas Schindler, & Andreas Bartels. (2018). Real-motion signals in human early visual cortex. NeuroImage. 175. 379–387. 17 indexed citations

16.

Nau, Matthias, Joshua B. Julian, & Christian F. Doeller. (2018). How the Brain’s Navigation System Shapes Our Visual Experience. Trends in Cognitive Sciences. 22(9). 810–825. 51 indexed citations

17.

Nau, Matthias, et al.. (2003). Encrypting File System unter Windows - Features, Lücken, Gefahren, Vorteile.. 27.

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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