Karin Schwab

24 papers and 550 indexed citations i.

About

Karin Schwab is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Karin Schwab has authored 24 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Karin Schwab’s work include Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Neonatal and fetal brain pathology (7 papers). Karin Schwab is often cited by papers focused on Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (13 papers) and Neonatal and fetal brain pathology (7 papers). Karin Schwab collaborates with scholars based in Germany, Canada and Saudi Arabia. Karin Schwab's co-authors include Herbert Witte, M. Eiselt, Jens Haueisen, Lutz Leistritz, Wolfram Hesse, Björn Schelter, Jens Timmer, Reinhard Bauer, Matthias Winterhalder and Carolin Ligges and has published in prestigious journals such as The Journal of Physiology, IEEE Transactions on Biomedical Engineering and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Karin Schwab i

Fields of papers citing papers by Karin Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Schwab. 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 Karin Schwab. The network helps show where Karin Schwab may publish in the future.

Countries citing papers authored by Karin Schwab

Since Specialization
Citations

This map shows the geographic impact of Karin Schwab'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 Karin Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Schwab more than expected).

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.

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2025