Catharina Zich
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Cornelia KrancziochStefan DebenerMaarten De VosCharlotte J. StaggMartin G. BleichnerIngmar GutberletAnnette SterrMagdalena Nowak
- Topics
- EEG and Brain-Computer Interfaces (25 papers)Muscle activation and electromyography studies (12 papers)Functional Brain Connectivity Studies (10 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Catharina Zich
31 papers receiving 824 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 668
- Cellular and Molecular Neuroscience 190
- Biomedical Engineering 154
- Neurology 125
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Catharina Zich
This map shows the geographic impact of Catharina Zich'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 Catharina Zich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catharina Zich more than expected).
Fields of papers citing papers by Catharina Zich
This network shows the impact of papers produced by Catharina Zich. 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 Catharina Zich. The network helps show where Catharina Zich may publish in the future.
Co-authorship network of co-authors of Catharina Zich
This figure shows the co-authorship network connecting the top 25 collaborators of Catharina Zich. A scholar is included among the top collaborators of Catharina Zich 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 Catharina Zich. Catharina Zich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 30 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 28 | |
| 13 | 25 | |
| 14 | 38 | |
| 15 | 4 | |
| 16 | 80 | |
| 17 | 60 | |
| 18 | 8 | |
| 19 | 137 | |
| 20 | 48 |
About Catharina Zich
Catharina Zich is a scholar working on Cognitive Neuroscience, Neurology and Rehabilitation, having authored 37 papers that have together received 831 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Muscle activation and electromyography studies (12 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Cognitive Neuroscience (668 citations), Neurology (125 citations) and Cellular and Molecular Neuroscience (190 citations). Catharina Zich has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Cornelia Kranczioch, Stefan Debener, Maarten De Vos, Charlotte J. Stagg, Martin G. Bleichner, Ingmar Gutberlet, Annette Sterr, Magdalena Nowak, Sven Bestmann and Nick Ward. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología 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.