Claudia Sannelli
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Human-Computer Interaction top 2%
- Biomedical Engineering
- Co-authors
- Benjamin BlankertzKlaus‐Robert MüllerCarmen VidaurreThorsten DickhausGabriel CurioSebastian HalderEva Maria HammerAndrea Kübler
- Topics
- EEG and Brain-Computer Interfaces (20 papers)Neural dynamics and brain function (11 papers)Neuroscience and Neural Engineering (8 papers)
- Partner nations
- GermanySouth KoreaUnited States
In The Last Decade
Claudia Sannelli
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 1.7k
- Cellular and Molecular Neuroscience 801
- Electrical and Electronic Engineering 377
- Human-Computer Interaction 206
- Biomedical Engineering 201
Countries citing papers authored by Claudia Sannelli
This map shows the geographic impact of Claudia Sannelli'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 Claudia Sannelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Sannelli more than expected).
Fields of papers citing papers by Claudia Sannelli
This network shows the impact of papers produced by Claudia Sannelli. 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 Claudia Sannelli. The network helps show where Claudia Sannelli may publish in the future.
Co-authorship network of co-authors of Claudia Sannelli
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Sannelli. A scholar is included among the top collaborators of Claudia Sannelli 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 Claudia Sannelli. Claudia Sannelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 72 | |
| 3 | 50 | |
| 4 | 0 | |
| 5 | 42 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | Learning and Evaluation in Presence of Non-i.i.d. Label Noise | 1 |
| 9 | 8 | |
| 10 | 43 | |
| 11 | 213 | |
| 12 | 136 | |
| 13 | 36 | |
| 14 | 241 | |
| 15 | 23 | |
| 16 | 74 | |
| 17 | 54 | |
| 18 | Neurophysiological predictor of SMR-based BCI performancebreakdown → | 521 |
| 19 | 18 | |
| 20 | 86 |
About Claudia Sannelli
Claudia Sannelli is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (801 citations) and Human-Computer Interaction (206 citations). Claudia Sannelli has collaborated with scholars based in Germany, South Korea and United States. Frequent co-authors include Benjamin Blankertz, Klaus‐Robert Müller, Carmen Vidaurre, Thorsten Dickhaus, Gabriel Curio, Sebastian Halder, Eva Maria Hammer, Andrea Kübler, Stefan Haufe and Sonja C. Kleih. Their work appears in journals such as PLoS ONE, NeuroImage and The Journal of Physiology.
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.