Christoph Rieke
- Cognitive Neuroscience top 0.5%
- Signal Processing top 0.2%
- Artificial Intelligence top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Klaus LehnertzRalph G. AndrzejakChristian E. ElgerFlorian MormannPeter DavidThomas KreuzAlexander KraskovSandro Martinis
- Topics
- Neural dynamics and brain function (9 papers)EEG and Brain-Computer Interfaces (7 papers)Complex Systems and Time Series Analysis (5 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical Engineering
- Partner nations
- Germany
In The Last Decade
Christoph Rieke
14 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 2.8k
- Signal Processing 1.7k
- Artificial Intelligence 657
- Cardiology and Cardiovascular Medicine 476
- Molecular Biology 411
Countries citing papers authored by Christoph Rieke
This map shows the geographic impact of Christoph Rieke'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 Christoph Rieke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Rieke more than expected).
Fields of papers citing papers by Christoph Rieke
This network shows the impact of papers produced by Christoph Rieke. 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 Christoph Rieke. The network helps show where Christoph Rieke may publish in the future.
Co-authorship network of co-authors of Christoph Rieke
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Rieke. A scholar is included among the top collaborators of Christoph Rieke 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 Christoph Rieke. Christoph Rieke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 3 | |
| 3 | 111 | |
| 4 | 376 | |
| 5 | 13 | |
| 6 | 107 | |
| 7 | 25 | |
| 8 | 166 | |
| 9 | 104 | |
| 10 | 5 | |
| 11 | 44 | |
| 12 | 134 | |
| 13 | 137 | |
| 14 | Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain statebreakdown → | 2195 |
About Christoph Rieke
Christoph Rieke is a scholar working on Cognitive Neuroscience, Signal Processing and Statistical and Nonlinear Physics, having authored 14 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (7 papers) and Complex Systems and Time Series Analysis (5 papers). The work is most often cited by research in Signal Processing (1.7k citations), Cognitive Neuroscience (2.8k citations) and Psychiatry and Mental health (335 citations). Christoph Rieke has collaborated with scholars based in Germany. Frequent co-authors include Klaus Lehnertz, Ralph G. Andrzejak, Christian E. Elger, Florian Mormann, Peter David, Thomas Kreuz, Alexander Kraskov, Sandro Martinis, P. David and Guido Widman. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and IEEE Transactions on Biomedical Engineering.
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.