Marc-André Schulz
Impact in
- Health Informatics top 10%
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
Papers in
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- Functional Brain Connectivity Studies 5
- EEG and Brain-Computer Interfaces 2
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- Cognitive and developmental aspects of mathematical skills 2
- Co-authors
- Danilo Bzdok (4 shared papers)Jakob Nikolas Kather (1 shared paper)Blake A. Richards (1 shared paper)B.T. Thomas Yeo (1 shared paper)Konrad P. Körding (1 shared paper)Joshua T Vogelstein (1 shared paper)Kerstin Ritter (5 shared papers)Karsten Witt (2 shared papers)
- Journals
- Scientific Reports (2 papers)Experimental Neurology (1 paper)PLoS Biology (1 paper)iScience (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited KingdomCanada
In The Last Decade
Marc-André Schulz
11 papers receiving 291 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 15
- Cognitive Neuroscience 136
- Experimental and Cognitive Psychology 36
- Radiology, Nuclear Medicine and Imaging 62
- Artificial Intelligence 66
Countries citing papers authored by Marc-André Schulz
This map shows the geographic impact of Marc-André Schulz'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 Marc-André Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc-André Schulz more than expected).
Fields of papers citing papers by Marc-André Schulz
This network shows the impact of papers produced by Marc-André Schulz. 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 Marc-André Schulz. The network helps show where Marc-André Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc-André Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2021 | 32 | |
| 3 | 2012 | 27 | |
| 4 | 2023 | 19 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2015 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2025 | 1 |
About Marc-André Schulz
Marc-André Schulz is a scholar working on Cognitive Neuroscience, Statistics and Probability, Molecular Biology, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (5 papers), EEG and Brain-Computer Interfaces (2 papers), Cognitive and developmental aspects of mathematical skills (2 papers), Health, Environment, Cognitive Aging (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Long-Term Effects of COVID-19 (1 paper), Fractal and DNA sequence analysis (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (15 citations), Cognitive Neuroscience (136 citations), Experimental and Cognitive Psychology (36 citations), Radiology, Nuclear Medicine and Imaging (62 citations) and Artificial Intelligence (66 citations). Marc-André Schulz has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Danilo Bzdok, Jakob Nikolas Kather, Blake A. Richards, B.T. Thomas Yeo, Konrad P. Körding, Joshua T Vogelstein, Kerstin Ritter, Karsten Witt, Fabian Eitel and Peter Brugger. Their work appears in journals such as Scientific Reports, Experimental Neurology, PLoS Biology, iScience and Nature Communications.
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.