Michael Tangermann

10.0k total citations · 3 hit papers
83 papers, 6.7k citations indexed

About

Michael Tangermann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Tangermann has authored 83 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Cognitive Neuroscience, 35 papers in Cellular and Molecular Neuroscience and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Tangermann's work include EEG and Brain-Computer Interfaces (74 papers), Neural dynamics and brain function (45 papers) and Neuroscience and Neural Engineering (34 papers). Michael Tangermann is often cited by papers focused on EEG and Brain-Computer Interfaces (74 papers), Neural dynamics and brain function (45 papers) and Neuroscience and Neural Engineering (34 papers). Michael Tangermann collaborates with scholars based in Germany, Netherlands and United States. Michael Tangermann's co-authors include Irene Winkler, Benjamin Blankertz, Klaus‐Robert Müller, Wolfram Burgard, Katharina Eggensperger, Tonio Ball, Frank Hutter, Lukas D. J. Fiederer, Jost Tobias Springenberg and Robin Tibor Schirrmeister and has published in prestigious journals such as PLoS ONE, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Michael Tangermann

79 papers receiving 6.5k citations

Hit Papers

align trajectories

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.

Deep learning with convolutional neural networks for EEG decoding and visualization

2017 2.1k citations Robin Tibor Schirrmeister, Jost Tobias Springenberg et al. Human Brain Mapping profile →
Review of the BCI Competition IV

2012 829 citations Michael Tangermann, Klaus‐Robert Müller et al. Frontiers in Neuroscience profile →
Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals

2011 558 citations Irene Winkler, Stefan Haufe et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Tangermann Germany	27	6.1k	2.3k	1.3k	1.1k	1.0k	83	6.7k
Marco Congedo France	37	6.9k 1.1×	2.1k 0.9×	1.1k 0.9×	1.3k 1.3×	1.1k 1.1×	98	7.9k
Thilo Hinterberger Germany	36	6.2k 1.0×	2.8k 1.3×	1.0k 0.8×	900 0.8×	1.0k 1.0×	119	7.4k
Fabien Lotte France	36	7.6k 1.2×	2.9k 1.3×	1.6k 1.2×	1.5k 1.4×	1.6k 1.5×	99	8.2k
Clemens Brunner Austria	32	5.2k 0.8×	2.2k 1.0×	984 0.8×	940 0.9×	888 0.9×	77	5.7k
Dean J. Krusienski United States	35	5.7k 0.9×	3.0k 1.3×	1.3k 1.0×	1.2k 1.1×	1.3k 1.3×	107	6.6k
Tonio Ball Germany	37	5.3k 0.9×	1.9k 0.9×	840 0.6×	594 0.6×	592 0.6×	94	6.1k
Kai Keng Ang Singapore	42	7.4k 1.2×	3.2k 1.4×	1.5k 1.2×	1.7k 1.6×	1.7k 1.6×	193	8.5k
Reinhold Scherer Austria	45	7.7k 1.3×	3.6k 1.6×	1.4k 1.1×	896 0.8×	1.5k 1.4×	164	8.3k
Haihong Zhang Singapore	27	4.5k 0.7×	2.1k 0.9×	1.0k 0.8×	1.1k 1.0×	1.3k 1.3×	121	5.9k
Alois Schlögl Austria	38	8.5k 1.4×	3.5k 1.5×	1.5k 1.2×	2.2k 2.1×	1.3k 1.3×	84	9.4k

Countries citing papers authored by Michael Tangermann

Since Specialization

Citations

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

Fields of papers citing papers by Michael Tangermann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tangermann

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tangermann. A scholar is included among the top collaborators of Michael Tangermann 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 Michael Tangermann. Michael Tangermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tangermann, Michael, et al.. (2025). Learning from small datasets—review of workshop 6 of the 10th International BCI Meeting 2023. Journal of Neural Engineering. 22(3). 33001–33001.

Tangermann, Michael, et al.. (2024). Review of deep representation learning techniques for brain–computer interfaces. Journal of Neural Engineering. 21(6). 61002–61002. 1 indexed citations

Tangermann, Michael, et al.. (2022). Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain–computer interfaces. Journal of Neural Engineering. 19(6). 66001–66001. 11 indexed citations

Burgard, Wolfram, et al.. (2020). A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection. Frontiers in Robotics and AI. 7. 38–38. 2 indexed citations

Piroth, Tobias, et al.. (2020). Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson’s disease. NeuroImage Clinical. 28. 102376–102376. 16 indexed citations

Tangermann, Michael, et al.. (2020). Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. Neuroinformatics. 19(3). 461–476. 8 indexed citations

Piroth, Tobias, et al.. (2019). An Easy-to-Use and Fast Assessment of Patient-Specific DBS-Induced Changes in Hand Motor Control in Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2155–2163. 7 indexed citations

Meinel, Andreas, et al.. (2019). Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods. Frontiers in Neuroinformatics. 13. 55–55. 3 indexed citations

Meinel, Andreas, et al.. (2018). Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems. Neuroinformatics. 17(2). 235–251. 13 indexed citations

10.

Schirrmeister, Robin Tibor, Jost Tobias Springenberg, Lukas D. J. Fiederer, et al.. (2017). Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG.. arXiv (Cornell University). 41 indexed citations

11.

Schirrmeister, Robin Tibor, Jost Tobias Springenberg, Lukas D. J. Fiederer, et al.. (2017). Deep learning with convolutional neural networks for EEG decoding and visualization. Human Brain Mapping. 38(11). 5391–5420. 2114 indexed citations breakdown →

12.

Tangermann, Michael, et al.. (2017). Challenging the Assumption that auditory Event-Related potentials are Independent and identically Distributed.. 2 indexed citations

13.

Winkler, Irene, Stefan Debener, Klaus‐Robert Müller, & Michael Tangermann. (2015). On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP. PubMed. 2015. 4101–4105. 274 indexed citations

14.

Höhne, Johannes & Michael Tangermann. (2014). Towards User-Friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm. PLoS ONE. 9(6). e98322–e98322. 40 indexed citations

15.

Holz, Elisa Mira, Johannes Höhne, Pit Staiger-Sälzer, Michael Tangermann, & Andrea Kübler. (2013). Brain–computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. Artificial Intelligence in Medicine. 59(2). 111–120. 82 indexed citations

16.

Tangermann, Michael, et al.. (2012). No surprise - fixed sequence event-related potentials for brain-computer interfaces. PubMed. 2012. 2501–2504. 9 indexed citations

17.

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

18.

Schreuder, Martijn, Benjamin Blankertz, & Michael Tangermann. (2010). A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue. PLoS ONE. 5(4). e9813–e9813. 200 indexed citations

19.

Hinterberger, Thilo, Guido Widman, Thomas Navin Lal, et al.. (2008). Voluntary brain regulation and communication with electrocorticogram signals. Epilepsy & Behavior. 13(2). 300–306. 30 indexed citations

20.

Bensch, Michael, Ahmed A. Karim, Jürgen Mellinger, et al.. (2007). Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients. Computational Intelligence and Neuroscience. 2007. 1–5. 61 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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