Gerwin Schalk

23.0k total citations · 6 hit papers
149 papers, 15.9k citations indexed

About

Gerwin Schalk is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Gerwin Schalk has authored 149 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Cognitive Neuroscience, 72 papers in Cellular and Molecular Neuroscience and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Gerwin Schalk's work include EEG and Brain-Computer Interfaces (132 papers), Neural dynamics and brain function (83 papers) and Neuroscience and Neural Engineering (72 papers). Gerwin Schalk is often cited by papers focused on EEG and Brain-Computer Interfaces (132 papers), Neural dynamics and brain function (83 papers) and Neuroscience and Neural Engineering (72 papers). Gerwin Schalk collaborates with scholars based in United States, Germany and Austria. Gerwin Schalk's co-authors include Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Eric C. Leuthardt, Jeffrey G. Ojemann, Thilo Hinterberger, Daniel W. Moran, Peter Brunner, Kai J. Miller and Theresa M. Vaughan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Gerwin Schalk

145 papers receiving 15.4k citations

Hit Papers

5 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.

BCI2000: A General-Purpose Brain-Computer Interface (BCI) System

2004 2.1k citations Gerwin Schalk, Dennis J. McFarland et al. profile →
Brain-computer interface technology: a review of the first international meeting

2000 1.7k citations Jonathan R. Wolpaw, Niels Birbaumer et al. profile →
A brain–computer interface using electrocorticographic signals in humans

2004 869 citations Eric C. Leuthardt, Gerwin Schalk et al. Journal of Neural Engineering profile →
Review of the BCI Competition IV

2012 829 citations Niels Birbaumer, Kai J. Miller et al. Frontiers in Neuroscience profile →
The BCI competition III: validating alternative approaches to actual BCI problems

2006 694 citations Benjamin Blankertz, K. Müller et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →
Spectral Changes in Cortical Surface Potentials during Motor Movement

2007 564 citations Kai J. Miller, Eric C. Leuthardt et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerwin Schalk United States	54	14.9k	7.8k	2.9k	2.2k	2.1k	149	15.9k
Theresa M. Vaughan United States	30	12.9k 0.9×	7.3k 0.9×	2.5k 0.9×	3.2k 1.5×	2.1k 1.0×	42	13.4k
Benjamin Blankertz Germany	60	16.5k 1.1×	6.6k 0.8×	3.2k 1.1×	2.9k 1.3×	3.9k 1.9×	175	17.8k
Gert Pfurtscheller Austria	57	18.4k 1.2×	8.9k 1.1×	3.3k 1.1×	3.6k 1.6×	2.6k 1.3×	194	19.6k
Christa Neuper Austria	73	15.9k 1.1×	6.2k 0.8×	2.1k 0.7×	2.4k 1.1×	1.5k 0.7×	211	17.9k
Dennis J. McFarland United States	52	21.1k 1.4×	11.6k 1.5×	3.9k 1.3×	4.7k 2.1×	3.0k 1.4×	155	22.4k
Gernot Müller-Putz Austria	57	10.8k 0.7×	5.4k 0.7×	1.8k 0.6×	2.2k 1.0×	1.0k 0.5×	327	11.8k
Kai Keng Ang Singapore	42	7.4k 0.5×	3.2k 0.4×	1.5k 0.5×	1.7k 0.8×	1.7k 0.8×	193	8.5k
G. Pfurtscheller Austria	70	26.4k 1.8×	10.3k 1.3×	3.5k 1.2×	3.4k 1.5×	4.1k 2.0×	154	28.3k
Alois Schlögl Austria	38	8.5k 0.6×	3.5k 0.4×	1.5k 0.5×	1.3k 0.6×	2.2k 1.1×	84	9.4k
Xiaorong Gao China	43	9.8k 0.7×	5.6k 0.7×	2.6k 0.9×	2.0k 0.9×	2.1k 1.0×	266	10.9k

Countries citing papers authored by Gerwin Schalk

Since Specialization

Citations

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

Fields of papers citing papers by Gerwin Schalk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerwin Schalk

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Edelman, Bradley J., Gerwin Schalk, Peter Brunner, et al.. (2024). Non-Invasive Brain-Computer Interfaces: State of the Art and Trends. IEEE Reviews in Biomedical Engineering. 18. 26–49. 34 indexed citations

2.

Huang, Harvey, Bryan T. Klassen, Max van den Boom, et al.. (2023). A motor association area in the depths of the central sulcus. Nature Neuroscience. 26(7). 1165–1169. 16 indexed citations

3.

Schalk, Gerwin, et al.. (2023). Detection of common EEG phenomena using individual electrodes placed outside the hair. Biomedical Physics & Engineering Express. 10(1). 15015–15015. 1 indexed citations

4.

Xie, Tao, Zehan Wu, Gerwin Schalk, et al.. (2022). Automated intraoperative central sulcus localization and somatotopic mapping using median nerve stimulation. Journal of Neural Engineering. 19(4). 46020–46020. 4 indexed citations

5.

Kapeller, Christoph, Hiroshi Ogawa, Gerwin Schalk, et al.. (2018). Real-time detection and discrimination of visual perception using electrocorticographic signals. Journal of Neural Engineering. 15(3). 36001–36001. 18 indexed citations

6.

Gupta, Disha, N. Jeremy Hill, Matthew A. Adamo, Anthony L. Ritaccio, & Gerwin Schalk. (2014). Localizing ECoG electrodes on the cortical anatomy without post-implantation imaging. NeuroImage Clinical. 6. 64–76. 14 indexed citations

7.

Hill, N. Jeremy, et al.. (2014). A general method for assessing brain–computer interface performance and its limitations. Journal of Neural Engineering. 11(2). 26018–26018. 16 indexed citations

8.

Lyu, Siwei, et al.. (2013). Deep feature learning using target priors with applications in ECoG signal decoding for BCI. International Joint Conference on Artificial Intelligence. 1785–1791. 18 indexed citations

9.

Lyu, Siwei, et al.. (2012). Learning with Target Prior. Neural Information Processing Systems. 25. 2231–2239. 7 indexed citations

10.

Hill, N. Jeremy, Disha Gupta, Peter Brunner, et al.. (2012). Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping. Journal of Visualized Experiments. 10 indexed citations

11.

Potes, Cristhian, Aysegul Gunduz, Peter Brunner, & Gerwin Schalk. (2012). Dynamics of electrocorticographic (ECoG) activity in human temporal and frontal cortical areas during music listening. NeuroImage. 61(4). 841–848. 40 indexed citations

12.

Hill, N. Jeremy, et al.. (2012). Communication and Control by Listening: Toward Optimal Design of a Two-Class Auditory Streaming Brain-Computer Interface. Frontiers in Neuroscience. 6. 181–181. 12 indexed citations

13.

Hill, N. Jeremy, Disha Gupta, Peter Brunner, et al.. (2012). Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping. Journal of Visualized Experiments. 90 indexed citations

14.

Gaona, Charles M., Mohit Sharma, Zachary V. Freudenburg, et al.. (2011). Nonuniform High-Gamma (60–500 Hz) Power Changes Dissociate Cognitive Task and Anatomy in Human Cortex. Journal of Neuroscience. 31(6). 2091–2100. 71 indexed citations

15.

Schalk, Gerwin, et al.. (2011). Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals. Neural Information Processing Systems. 24. 2070–2078. 9 indexed citations

16.

Wu, Melinda, Gerwin Schalk, Mohit Sharma, et al.. (2010). Electrocorticographic Frequency Alteration Mapping for Extraoperative Localization of Speech Cortex. Neurosurgery. 66(2). E407–E409. 35 indexed citations

17.

Schalk, Gerwin. (2010). Can Electrocorticography (ECoG) Support Robust and Powerful Brain-Computer Interfaces?. PubMed. 3. 9–9. 51 indexed citations

18.

Leuthardt, Eric C., Kai J. Miller, Nicholas Anderson, et al.. (2007). ELECTROCORTICOGRAPHIC FREQUENCY ALTERATION MAPPING. Operative Neurosurgery. 60(4). 260–271. 79 indexed citations

19.

Blankertz, Benjamin, K. Müller, Dean J. Krusienski, et al.. (2006). The BCI competition III: validating alternative approaches to actual BCI problems. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14(2). 153–159. 694 indexed citations breakdown →

20.

Kübler, Andrea, Femke Nijboer, Jürgen Mellinger, et al.. (2005). Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology. 64(10). 1775–1777. 391 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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