Ralph G. Andrzejak
- Cognitive Neuroscience top 0.2%
- Signal Processing top 0.1%
- Cellular and Molecular Neuroscience top 2%
- Artificial Intelligence top 1%
- Psychiatry and Mental health top 1%
- Co-authors
- Florian MormannKlaus LehnertzChristian E. ElgerChristoph RiekePeter DavidThomas KreuzAlexander KraskovChristian Rummel
- Topics
- Neural dynamics and brain function (45 papers)EEG and Brain-Computer Interfaces (25 papers)Nonlinear Dynamics and Pattern Formation (21 papers)
- Journals
- Physical Review LettersPLoS ONEBrain
In The Last Decade
Ralph G. Andrzejak
69 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cognitive Neuroscience 5.4k
- Signal Processing 2.4k
- Cellular and Molecular Neuroscience 1.0k
- Artificial Intelligence 968
- Psychiatry and Mental health 851
Countries citing papers authored by Ralph G. Andrzejak
This map shows the geographic impact of Ralph G. Andrzejak'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 Ralph G. Andrzejak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph G. Andrzejak more than expected).
Fields of papers citing papers by Ralph G. Andrzejak
This network shows the impact of papers produced by Ralph G. Andrzejak. 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 Ralph G. Andrzejak. The network helps show where Ralph G. Andrzejak may publish in the future.
Co-authorship network of co-authors of Ralph G. Andrzejak
This figure shows the co-authorship network connecting the top 25 collaborators of Ralph G. Andrzejak. A scholar is included among the top collaborators of Ralph G. Andrzejak 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 Ralph G. Andrzejak. Ralph G. Andrzejak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 118 | |
| 8 | 27 | |
| 9 | Quantitative Analysis of Peri-ictal Multi-Channel EEG | 1 |
| 10 | 19 | |
| 11 | 49 | |
| 12 | 89 | |
| 13 | 60 | |
| 14 | Seizure prediction: Influence of EEG band-pass filtering on the predictive performance of synchronization measures | 1 |
| 15 | 107 | |
| 16 | 25 | |
| 17 | 44 | |
| 18 | 134 | |
| 19 | 137 | |
| 20 | 71 |
About Ralph G. Andrzejak
Ralph G. Andrzejak is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Signal Processing, having authored 70 papers that have together received 6.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (45 papers), EEG and Brain-Computer Interfaces (25 papers) and Nonlinear Dynamics and Pattern Formation (21 papers). The work is most often cited by research in Cognitive Neuroscience (5.4k citations), Signal Processing (2.4k citations) and Statistical and Nonlinear Physics (846 citations). Ralph G. Andrzejak has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Florian Mormann, Klaus Lehnertz, Christian E. Elger, Christoph Rieke, Peter David, Thomas Kreuz, Alexander Kraskov, Christian Rummel, Kaspar Schindler and Daniel Chicharro. Their work appears in journals such as Physical Review Letters, PLoS ONE and Brain.
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.