Claudia Sannelli

2.4k total citations · 1 hit paper
24 papers, 1.8k citations indexed

About

Claudia Sannelli is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Claudia Sannelli has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 5 papers in Signal Processing. Recurrent topics in Claudia Sannelli's work include EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (8 papers). Claudia Sannelli is often cited by papers focused on EEG and Brain-Computer Interfaces (20 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (8 papers). Claudia Sannelli collaborates with scholars based in Germany, South Korea and United States. Claudia Sannelli's 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 and has published in prestigious journals such as PLoS ONE, NeuroImage and The Journal of Physiology.

In The Last Decade

Claudia Sannelli

23 papers receiving 1.8k citations

Hit Papers

Neurophysiological predictor of SMR-based BCI performance 2010 2026 2015 2020 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neurophysiological predictor of SMR-based BCI performance
    2010 521 citations Benjamin Blankertz, Claudia Sannelli et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claudia Sannelli Germany 15 1.7k 801 377 206 201 24 1.8k
Gunther Krausz Austria 13 1.7k 1.0× 908 1.1× 271 0.7× 321 1.6× 224 1.1× 20 1.8k
Luis F. Nicolás-Alonso Spain 8 1.6k 1.0× 869 1.1× 397 1.1× 375 1.8× 212 1.1× 9 1.7k
Minkyu Ahn South Korea 18 1.3k 0.7× 615 0.8× 327 0.9× 235 1.1× 127 0.6× 43 1.4k
Adrian Furdea Germany 15 1.6k 0.9× 902 1.1× 233 0.6× 314 1.5× 223 1.1× 18 1.7k
Bryan Baxter United States 11 1.2k 0.7× 725 0.9× 292 0.8× 272 1.3× 221 1.1× 26 1.3k
Minpeng Xu China 23 1.9k 1.1× 968 1.2× 568 1.5× 378 1.8× 265 1.3× 133 2.1k
Claudia Keinrath Austria 12 1.6k 0.9× 657 0.8× 281 0.7× 360 1.7× 211 1.0× 22 1.7k
Günter Edlinger Austria 15 1.4k 0.8× 615 0.8× 167 0.4× 170 0.8× 192 1.0× 40 1.5k
Josef Faller United States 20 1.1k 0.6× 519 0.6× 288 0.8× 203 1.0× 110 0.5× 56 1.2k
Guangyu Bin China 16 1.4k 0.8× 867 1.1× 369 1.0× 263 1.3× 113 0.6× 37 1.6k

Countries citing papers authored by Claudia Sannelli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Fasano, Alfonso, et al.. (2024). Subthalamic nucleus local field potential stability in patients with Parkinson's disease. Neurobiology of Disease. 199. 106589–106589. 3 indexed citations
2.
Nierhaus, Till, Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, & Arno Villringer. (2019). Immediate brain plasticity after one hour of brain–computer interface (BCI). The Journal of Physiology. 599(9). 2435–2451. 50 indexed citations
3.
Sannelli, Claudia, Carmen Vidaurre, Klaus‐Robert Müller, & Benjamin Blankertz. (2019). A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity. PLoS ONE. 14(1). e0207351–e0207351. 72 indexed citations
4.
Blankertz, Benjamin, et al.. (2019). Brain-Computer Interface - Motor Imagery Data. DepositOnce.
5.
Sannelli, Claudia, Carmen Vidaurre, Klaus‐Robert Müller, & Benjamin Blankertz. (2016). Ensembles of adaptive spatial filters increase BCI performance: an online evaluation. Journal of Neural Engineering. 13(4). 46003–46003. 42 indexed citations
6.
Porbadnigk, Anne K., Nico Görnitz, Claudia Sannelli, et al.. (2015). Extracting latent brain states — Towards true labels in cognitive neuroscience experiments. NeuroImage. 120. 225–253. 11 indexed citations
7.
Vidaurre, Carmen, Claudia Sannelli, Wojciech Samek, Sven Dähne, & Klaus‐Robert Müller. (2015). Machine Learning Methods of the Berlin Brain-Computer Interface. IFAC-PapersOnLine. 48(20). 447–452. 4 indexed citations
8.
Görnitz, Nico, Anne K. Porbadnigk, Alexander Binder, et al.. (2014). Learning and Evaluation in Presence of Non-i.i.d. Label Noise. Journal of Machine Learning Research. 33. 293–302. 1 indexed citations
9.
Sannelli, Claudia, Carmen Vidaurre, K-R Müller, & Benjamin Blankertz. (2012). Common Spatial Pattern Patches: Online evaluation on BCI-naive users. PubMed. 18. 4744–4747. 8 indexed citations
10.
Sannelli, Claudia, et al.. (2012). Pre-Stimulus Sensorimotor Rhythms Influence Brain–Computer Interface Classification Performance. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 20(5). 653–662. 43 indexed citations
11.
Hammer, Eva Maria, Sebastian Halder, Benjamin Blankertz, et al.. (2011). Psychological predictors of SMR-BCI performance. Biological Psychology. 89(1). 80–86. 213 indexed citations
12.
Vidaurre, Carmen, Claudia Sannelli, Klaus‐Robert Müller, & Benjamin Blankertz. (2011). Co-adaptive calibration to improve BCI efficiency. Journal of Neural Engineering. 8(2). 25009–25009. 136 indexed citations
13.
Sannelli, Claudia, Carmen Vidaurre, Klaus‐Robert Müller, & Benjamin Blankertz. (2011). CSP patches: an ensemble of optimized spatial filters. An evaluation study. Journal of Neural Engineering. 8(2). 25012–25012. 36 indexed citations
14.
Blankertz, Benjamin, Michael Tangermann, Carmen Vidaurre, et al.. (2010). The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology. Frontiers in Neuroscience. 4. 198–198. 241 indexed citations
15.
Sannelli, Claudia, Carmen Vidaurre, Klaus‐Robert Müller, & Benjamin Blankertz. (2010). Common spatial pattern patches - An optimized filter ensemble for adaptive brain-computer interfaces. PubMed. 2010. 4351–4354. 23 indexed citations
16.
Haufe, Stefan, Ryota Tomioka, Thorsten Dickhaus, et al.. (2010). Large-scale EEG/MEG source localization with spatial flexibility. NeuroImage. 54(2). 851–859. 74 indexed citations
17.
Blankertz, Benjamin, Claudia Sannelli, Sebastian Halder, et al.. (2010). Neurophysiological predictor of SMR-based BCI performance. NeuroImage. 51(4). 1303–1309. 521 indexed citations breakdown →
18.
Sannelli, Claudia, et al.. (2010). On Optimal Channel Configurations for SMR-based Brain–Computer Interfaces. Brain Topography. 23(2). 186–193. 54 indexed citations
19.
Sannelli, Claudia, Mikio L. Braun, & Klaus‐Robert Müller. (2009). Improving BCI performance by task-related trial pruning. Neural Networks. 22(9). 1295–1304. 18 indexed citations
20.
Dickhaus, Thorsten, Claudia Sannelli, Klaus‐Robert Müller, Gabriel Curio, & Benjamin Blankertz. (2009). Predicting BCI performance to study BCI illiteracy. BMC Neuroscience. 10(S1). 86 indexed citations

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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