Karsten Seidl
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering
- Polymers and Plastics
- Co-authors
- Patrick RutherOliver PaulStanislav HerwikHerc P. NevesSebastian KisbanArno AartsTom TorfsS. Spieth
- Topics
- Neuroscience and Neural Engineering (35 papers)Advanced Memory and Neural Computing (18 papers)EEG and Brain-Computer Interfaces (16 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Functional MaterialsSmall
In The Last Decade
Karsten Seidl
64 papers receiving 818 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 603
- Cognitive Neuroscience 412
- Electrical and Electronic Engineering 365
- Biomedical Engineering 248
- Polymers and Plastics 37
Countries citing papers authored by Karsten Seidl
This map shows the geographic impact of Karsten Seidl'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 Karsten Seidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Seidl more than expected).
Fields of papers citing papers by Karsten Seidl
This network shows the impact of papers produced by Karsten Seidl. 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 Karsten Seidl. The network helps show where Karsten Seidl may publish in the future.
Co-authorship network of co-authors of Karsten Seidl
This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Seidl. A scholar is included among the top collaborators of Karsten Seidl 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 Karsten Seidl. Karsten Seidl 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 5 | |
| 20 | 39 |
About Karsten Seidl
Karsten Seidl is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Bioengineering, having authored 69 papers that have together received 830 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (35 papers), Advanced Memory and Neural Computing (18 papers) and EEG and Brain-Computer Interfaces (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (603 citations), Cognitive Neuroscience (412 citations) and Electrical and Electronic Engineering (365 citations). Karsten Seidl has collaborated with scholars based in Germany, Belgium and Hungary. Frequent co-authors include Patrick Ruther, Oliver Paul, Stanislav Herwik, Herc P. Neves, Sebastian Kisban, Arno Aarts, Tom Torfs, S. Spieth, Michael Schwaerzle and Roland Zengerle. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Small.
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.