Charles M. Gaona

1.5k total citations
18 papers, 1.0k citations indexed

About

Charles M. Gaona is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Charles M. Gaona has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Charles M. Gaona's work include EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (10 papers) and Functional Brain Connectivity Studies (7 papers). Charles M. Gaona is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Neural dynamics and brain function (10 papers) and Functional Brain Connectivity Studies (7 papers). Charles M. Gaona collaborates with scholars based in United States, Sweden and Bulgaria. Charles M. Gaona's co-authors include Eric C. Leuthardt, Mohit Sharma, Gerwin Schalk, Jonathan D. Breshears, Jarod L. Roland, Abelardo Pardo, Gary D. Hachtel, R. Iris Bahar, Fabio Somenzi and Enrico Macii and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Charles M. Gaona

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles M. Gaona United States 14 713 253 168 161 152 18 1.0k
Murray Cole United Kingdom 14 283 0.4× 86 0.3× 83 0.5× 51 0.3× 268 1.8× 54 1.5k
Christos Strydis Netherlands 14 290 0.4× 208 0.8× 24 0.1× 223 1.4× 65 0.4× 87 862
David Lester United Kingdom 13 580 0.8× 479 1.9× 102 0.6× 1.2k 7.2× 431 2.8× 39 1.4k
Dionysios Perdikis Germany 12 581 0.8× 83 0.3× 28 0.2× 13 0.1× 34 0.2× 18 750
Z.A. Keirn United States 9 349 0.5× 88 0.3× 55 0.3× 111 0.7× 146 1.0× 16 531
Sebastian Gerwinn Germany 12 262 0.4× 101 0.4× 17 0.1× 88 0.5× 83 0.5× 25 479
Travis DeWolf Canada 7 605 0.8× 211 0.8× 27 0.2× 534 3.3× 345 2.3× 8 955
John Case United States 15 446 0.6× 119 0.5× 716 4.3× 26 0.2× 797 5.2× 92 1.4k
Xuan Choo Canada 5 572 0.8× 197 0.8× 28 0.2× 513 3.2× 337 2.2× 6 906
Sacha J. van Albada Germany 17 871 1.2× 395 1.6× 15 0.1× 238 1.5× 64 0.4× 46 1.2k

Countries citing papers authored by Charles M. Gaona

Since Specialization
Citations

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

Fields of papers citing papers by Charles M. Gaona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles M. Gaona. 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 Charles M. Gaona. The network helps show where Charles M. Gaona may publish in the future.

Co-authorship network of co-authors of Charles M. Gaona

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

All Works

18 of 18 papers shown
1.
Bundy, David T., Charles M. Gaona, Mohit Sharma, et al.. (2014). Characterization of the effects of the human dura on macro- and micro-electrocorticographic recordings. Journal of Neural Engineering. 11(1). 16006–16006. 46 indexed citations
2.
Freudenburg, Zachary V., Charles M. Gaona, Mohit Sharma, et al.. (2014). Fast-scale network dynamics in human cortex have specific spectral covariance patterns. Proceedings of the National Academy of Sciences. 111(12). 4602–4607. 2 indexed citations
3.
Roland, Jarod L., Carl D. Hacker, Jonathan D. Breshears, et al.. (2013). Brain Mapping in a Patient with Congenital Blindness – A Case for Multimodal Approaches. Frontiers in Human Neuroscience. 7. 431–431. 13 indexed citations
4.
Daitch, Amy L., Mohit Sharma, Jarod L. Roland, et al.. (2013). Frequency-specific mechanism links human brain networks for spatial attention. Proceedings of the National Academy of Sciences. 110(48). 19585–19590. 75 indexed citations
5.
Leuthardt, Eric C., Xiaomei Pei, Jonathan D. Breshears, et al.. (2012). Temporal evolution of gamma activity in human cortex during an overt and covert word repetition task. Frontiers in Human Neuroscience. 6. 99–99. 64 indexed citations
6.
Breshears, Jonathan D., Charles M. Gaona, Jarod L. Roland, et al.. (2012). Mapping Sensorimotor Cortex With Slow Cortical Potential Resting-State Networks While Awake and Under Anesthesia. Neurosurgery. 71(2). 305–316. 24 indexed citations
7.
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
8.
Roland, Jarod L., Kai J. Miller, Mohit Sharma, et al.. (2011). The effect of age on human motor electrocorticographic signals and implications for brain–computer interface applications. Journal of Neural Engineering. 8(4). 46013–46013. 15 indexed citations
9.
Breshears, Jonathan D., Charles M. Gaona, Jarod L. Roland, et al.. (2011). Decoding Motor Signals From the Pediatric Cortex: Implications for Brain-Computer Interfaces in Children. PEDIATRICS. 128(1). e160–e168. 19 indexed citations
10.
Leuthardt, Eric C., Charles M. Gaona, Mohit Sharma, et al.. (2011). Using the electrocorticographic speech network to control a brain–computer interface in humans. Journal of Neural Engineering. 8(3). 36004–36004. 123 indexed citations
11.
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
12.
Sharma, Mohit, Charles M. Gaona, Jonathan D. Breshears, et al.. (2010). Decoding Ipsilateral Finger Movements from ECoG Signals in Humans. neural information processing systems. 23. 1468–1476. 8 indexed citations
13.
Breshears, Jonathan D., Jarod L. Roland, Mohit Sharma, et al.. (2010). Stable and dynamic cortical electrophysiology of induction and emergence with propofol anesthesia. Proceedings of the National Academy of Sciences. 107(49). 21170–21175. 101 indexed citations
14.
Pei, Xiaomei, Eric C. Leuthardt, Charles M. Gaona, et al.. (2010). Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition. NeuroImage. 54(4). 2960–2972. 157 indexed citations
15.
Sharma, Mohit, et al.. (2009). Ipsilateral directional encoding of joystick movements in human cortex. PubMed. 2009. 5502–5505. 5 indexed citations
16.
Gaona, Charles M., Robert F. Mills, Michael A. Temple, & T.B. Hale. (2006). Spectrally Encoded, Multicarrier PSK Communication in a Multipath Channel. Zenodo (CERN European Organization for Nuclear Research). 1. 1.C.7–1. 1 indexed citations
17.
Bahar, R. Iris, Charles M. Gaona, Gary D. Hachtel, et al.. (2002). Algebraic decision diagrams and their applications. 188–191. 148 indexed citations
18.
Bahar, R. Iris, Charles M. Gaona, Gary D. Hachtel, et al.. (1997). Algebraic Decision Diagrams and Their Applications. Formal Methods in System Design. 10(2-3). 171–206. 140 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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2026