Matthias Nau
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Developmental and Educational Psychology
- Co-authors
- Christian F. DoellerTobias Navarro SchröderJacob L. S. BellmundMarkus FreyJoshua B. JulianJacob S. PrinceGhislain St-YvesBradley Caron
- Topics
- Neural dynamics and brain function (11 papers)Memory and Neural Mechanisms (9 papers)Face Recognition and Perception (3 papers)
- Partner nations
- GermanyUnited StatesNorway
In The Last Decade
Matthias Nau
15 papers receiving 534 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 435
- Cellular and Molecular Neuroscience 87
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 48
- Developmental and Educational Psychology 42
Countries citing papers authored by Matthias Nau
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligencebreakdown → | 211 |
| 9 | 35 | |
| 10 | 14 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 40 | |
| 14 | 106 | |
| 15 | 51 | |
| 16 | 17 | |
| 17 | Encrypting File System unter Windows - Features, Lücken, Gefahren, Vorteile. | 0 |
About Matthias Nau
Matthias Nau is a scholar working on Cognitive Neuroscience, Sensory Systems and Human-Computer Interaction, having authored 17 papers that have together received 538 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Memory and Neural Mechanisms (9 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (435 citations), Sensory Systems (39 citations) and Cellular and Molecular Neuroscience (87 citations). Matthias Nau has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Christian F. Doeller, Tobias Navarro Schröder, Jacob L. S. Bellmund, Markus Frey, Joshua B. Julian, Jacob S. Prince, Ghislain St-Yves, Bradley Caron, Franco Pestilli and Thomas Naselaris. Their work appears in journals such as Nature Communications, Nature Neuroscience and NeuroImage.
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.