William G. Coon

826 total citations
21 papers, 503 citations indexed

About

William G. Coon is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, William G. Coon has authored 21 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in William G. Coon's work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and Sleep and Wakefulness Research (7 papers). William G. Coon is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (7 papers) and Sleep and Wakefulness Research (7 papers). William G. Coon collaborates with scholars based in United States, Netherlands and Austria. William G. Coon's co-authors include Gerwin Schalk, Peter Brunner, Evelina Fedorenko, Terri L. Scott, Nancy Kanwisher, Anthony L. Ritaccio, Adriana de Pesters, Jared Saletin, Aysegul Gunduz and Mary A. Carskadon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Neurology.

In The Last Decade

William G. Coon

20 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William G. Coon United States 15 424 80 71 70 49 21 503
Aya Ben-Yakov Israel 10 493 1.2× 126 1.6× 73 1.0× 40 0.6× 15 0.3× 12 564
Stephen D. Auger United Kingdom 9 310 0.7× 86 1.1× 41 0.6× 23 0.3× 27 0.6× 17 432
M-Marsel Mesulam United States 9 719 1.7× 52 0.7× 107 1.5× 181 2.6× 30 0.6× 12 867
Clémence Roger France 9 611 1.4× 56 0.7× 41 0.6× 96 1.4× 34 0.7× 20 699
Lucie Bréchet Switzerland 14 537 1.3× 38 0.5× 29 0.4× 57 0.8× 14 0.3× 19 630
Philipp Ruhnau Germany 17 809 1.9× 125 1.6× 41 0.6× 107 1.5× 18 0.4× 32 896
Edward H. Silson United States 15 850 2.0× 59 0.7× 39 0.5× 79 1.1× 23 0.5× 37 960
Carlos M. Hamamé France 15 778 1.8× 141 1.8× 62 0.9× 116 1.7× 27 0.6× 17 862
Marc A. Heiser United States 8 444 1.0× 71 0.9× 96 1.4× 82 1.2× 13 0.3× 12 559
Seppo J. Laukka Finland 13 290 0.7× 68 0.8× 41 0.6× 97 1.4× 10 0.2× 30 402

Countries citing papers authored by William G. Coon

Since Specialization
Citations

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

Fields of papers citing papers by William G. Coon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Coon. 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 William G. Coon. The network helps show where William G. Coon may publish in the future.

Co-authorship network of co-authors of William G. Coon

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Coon. A scholar is included among the top collaborators of William G. Coon 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 William G. Coon. William G. Coon 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.
Ogg, Mattson & William G. Coon. (2024). Self-Supervised Transformer Model Training for a Sleep-EEG Foundation Model. PubMed. 2024. 1–6. 1 indexed citations
2.
Dunn, Kelly E., Jennifer D. Ellis, Carly Hunt, et al.. (2024). Suvorexant alters dynamics of the sleep-electroencephalography-power spectrum and depressive-symptom trajectories during inpatient opioid withdrawal. SLEEP. 47(4). 6 indexed citations
3.
Coon, William G. & Mattson Ogg. (2024). Laying the Foundation: Modern Transformers for Gold-Standard Sleep Analysis and Beyond. PubMed. 2024. 1–7. 1 indexed citations
4.
Paraskevopoulou, Sivylla E., William G. Coon, Peter Brunner, Kai J. Miller, & Gerwin Schalk. (2021). Within-subject reaction time variability: Role of cortical networks and underlying neurophysiological mechanisms. NeuroImage. 237. 118127–118127. 17 indexed citations
5.
Coon, William G. & Naresh M. Punjabi. (2021). Automatic Sleep Staging using a Small-footprint Sensor Array and Recurrent-Convolutional Neural Networks. 1144–1147. 2 indexed citations
6.
Eryilmaz, Hamdi, Kevin Dowling, Anais Rodriguez-Thompson, et al.. (2020). Working memory load-dependent changes in cortical network connectivity estimated by machine learning. NeuroImage. 217. 116895–116895. 16 indexed citations
7.
Mylonas, Dimitrios, William G. Coon, Bengi Baran, et al.. (2019). Naps reliably estimate nocturnal sleep spindle density in health and schizophrenia. Journal of Sleep Research. 29(5). e12968–e12968. 17 indexed citations
8.
Coon, William G., Mario Valderrama, Carmen Varela, et al.. (2019). 0100 Human Sleep Spindles Coupled To Hippocampal Sharp Wave Ripples Have Characteristic EEG Features. SLEEP. 42(Supplement_1). A41–A41.
9.
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
10.
Coon, William G., Christoph Guger, Peter Brunner, et al.. (2018). Passive functional mapping of receptive language areas using electrocorticographic signals. Clinical Neurophysiology. 129(12). 2517–2524. 18 indexed citations
11.
Guger, Christoph, et al.. (2017). A motor rehabilitation BCI with multi-modal feedback in chronic stroke patients (P5.300). Neurology. 88(16_supplement). 2 indexed citations
12.
Schalk, Gerwin, et al.. (2017). Instantaneous voltage as an alternative to power- and phase-based interpretation of oscillatory brain activity. NeuroImage. 157. 545–554. 18 indexed citations
13.
Saletin, Jared, William G. Coon, & Mary A. Carskadon. (2016). Stage 2 Sleep EEG Sigma Activity and Motor Learning in Childhood ADHD: A Pilot Study. Journal of Clinical Child & Adolescent Psychology. 46(2). 188–197. 34 indexed citations
14.
Coon, William G. & Gerwin Schalk. (2016). A method to establish the spatiotemporal evolution of task-related cortical activity from electrocorticographic signals in single trials. Journal of Neuroscience Methods. 271. 76–85. 21 indexed citations
15.
Coon, William G., Aysegul Gunduz, Peter Brunner, et al.. (2016). Oscillatory phase modulates the timing of neuronal activations and resulting behavior. NeuroImage. 133. 294–301. 25 indexed citations
16.
Pesters, Adriana de, William G. Coon, Peter Brunner, et al.. (2016). Alpha power indexes task-related networks on large and small scales: A multimodal ECoG study in humans and a non-human primate. NeuroImage. 134. 122–131. 49 indexed citations
17.
Irimia, Dănuț-Constantin, Rupert Ortner, Marian-Silviu Poboroniuc, et al.. (2016). recoveriX: A new BCI-based technology for persons with stroke. PubMed. 2016. 1504–1507. 21 indexed citations
18.
Coon, William G., et al.. (2015). The effects of spatial filtering and artifacts on electrocorticographic signals. Journal of Neural Engineering. 12(5). 56008–56008. 45 indexed citations
19.
Brunner, Peter, Aysegul Gunduz, William G. Coon, et al.. (2015). Identifying the attended speaker using electrocorticographic (ECoG) signals. PubMed. 2(4). 161–173. 20 indexed citations
20.
Westervelt, Holly James, Jared M. Bruce, William G. Coon, & Geoffrey Tremont. (2008). Odor identification in mild cognitive impairment subtypes. Journal of Clinical and Experimental Neuropsychology. 30(2). 151–156. 37 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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