Stefan Schaffelhofer
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Social Psychology
- Psychiatry and Mental health
- Co-authors
- Hansjörg ScherbergerAndres Agudelo-ToroJonathan A. MichaelsBenjamin DannThomas F. VarleyOlaf SpornsJorge R. Brotons‐MasMaría V. Sánchez-Vives
- Topics
- EEG and Brain-Computer Interfaces (9 papers)Muscle activation and electromyography studies (6 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Stefan Schaffelhofer
14 papers receiving 401 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 353
- Cellular and Molecular Neuroscience 132
- Biomedical Engineering 97
- Social Psychology 61
- Psychiatry and Mental health 23
Countries citing papers authored by Stefan Schaffelhofer
This map shows the geographic impact of Stefan Schaffelhofer'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 Stefan Schaffelhofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Schaffelhofer more than expected).
Fields of papers citing papers by Stefan Schaffelhofer
This network shows the impact of papers produced by Stefan Schaffelhofer. 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 Stefan Schaffelhofer. The network helps show where Stefan Schaffelhofer may publish in the future.
Co-authorship network of co-authors of Stefan Schaffelhofer
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Schaffelhofer. A scholar is included among the top collaborators of Stefan Schaffelhofer 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 Stefan Schaffelhofer. Stefan Schaffelhofer 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 | 4 | |
| 3 | 2 | |
| 4 | 44 | |
| 5 | 0 | |
| 6 | 49 | |
| 7 | 28 | |
| 8 | 46 | |
| 9 | 71 | |
| 10 | 22 | |
| 11 | 61 | |
| 12 | 17 | |
| 13 | 23 | |
| 14 | 10 | |
| 15 | 24 |
About Stefan Schaffelhofer
Stefan Schaffelhofer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Muscle activation and electromyography studies (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cognitive Neuroscience (353 citations), Cellular and Molecular Neuroscience (132 citations) and Social Psychology (61 citations). Stefan Schaffelhofer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Hansjörg Scherberger, Andres Agudelo-Toro, Jonathan A. Michaels, Benjamin Dann, Thomas F. Varley, Olaf Sporns, Jorge R. Brotons‐Mas, María V. Sánchez-Vives, Christoph Guger and Massimo Sartori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
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.