Josh Chartier
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 4
- Neural dynamics and brain function 2
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- Neuroscience and Neural Engineering 2
- Co-authors
- Gopala K. Anumanchipalli (5 shared papers)Edward F. Chang (5 shared papers)Keith Johnson (1 shared paper)Sean L. Metzger (3 shared papers)Maximilian E. Dougherty (3 shared papers)David A. Moses (3 shared papers)Jessie R. Liu (3 shared papers)Adelyn Tu-Chan (3 shared papers)
- Journals
- BMC Neuroscience (1 paper)New England Journal of Medicine (1 paper)Neuron (1 paper)Nature (1 paper)Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Josh Chartier
5 papers receiving 1.1k citations
Josh Chartier's Hit Papers
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 833
- Cellular and Molecular Neuroscience 314
- Signal Processing 143
- Human-Computer Interaction 47
- Experimental and Cognitive Psychology 68
Countries citing papers authored by Josh Chartier
This map shows the geographic impact of Josh Chartier'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 Josh Chartier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Chartier more than expected).
Fields of papers citing papers by Josh Chartier
This network shows the impact of papers produced by Josh Chartier. 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 Josh Chartier. The network helps show where Josh Chartier may publish in the future.
Co-authors
The 14 scholars most cited alongside Josh Chartier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Speech synthesis from neural decoding of spoken sentences Hit paper breakdown → | 2019 | 569 |
| 2 | Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria Hit paper breakdown → | 2021 | 295 |
| 3 | 2018 | 144 | |
| 4 | 2022 | 99 | |
| 5 | 2023 | 1 | |
| 6 | 2013 | 0 |
About Josh Chartier
Josh Chartier is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Social Psychology and Signal Processing, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Neuroscience and Neural Engineering (2 papers), Neural dynamics and brain function (2 papers), Advanced Memory and Neural Computing (2 papers), Hand Gesture Recognition Systems (1 paper), Blind Source Separation Techniques (1 paper), Phonetics and Phonology Research (1 paper) and Action Observation and Synchronization (1 paper). The work is most often cited by research in Cognitive Neuroscience (833 citations), Cellular and Molecular Neuroscience (314 citations), Signal Processing (143 citations), Human-Computer Interaction (47 citations) and Experimental and Cognitive Psychology (68 citations). Josh Chartier has collaborated with scholars based in United States. Frequent co-authors include Gopala K. Anumanchipalli, Edward F. Chang, Keith Johnson, Sean L. Metzger, Maximilian E. Dougherty, David A. Moses, Jessie R. Liu, Adelyn Tu-Chan, Karunesh Ganguly and Pengfei Sun. Their work appears in journals such as BMC Neuroscience, New England Journal of Medicine, Neuron, Nature and Nature Communications.
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.