Amanda LeBel
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Neuroethics, Human Enhancement, Biomedical Innovations
- Neural and Behavioral Psychology Studies
Papers in
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- EEG and Brain-Computer Interfaces 2
- Functional Brain Connectivity Studies 2
- Neurobiology of Language and Bilingualism 1
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- Vestibular and auditory disorders 2
- Co-authors
- Shailee Jain (3 shared papers)Jerry Tang (2 shared papers)Alexander G. Huth (3 shared papers)Anila M. D’Mello (2 shared papers)Lixiang Xu (1 shared paper)Vy A. Vo (1 shared paper)Javier S. Turek (1 shared paper)
- Journals
- Scientific Data (1 paper)Current Opinion in Behavioral Sciences (1 paper)Trends in Cognitive Sciences (1 paper)Nature Neuroscience (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United States
In The Last Decade
Amanda LeBel
5 papers receiving 182 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 126
- Health Informatics 7
- Developmental and Educational Psychology 17
- Neurology 11
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Amanda LeBel
This map shows the geographic impact of Amanda LeBel'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 Amanda LeBel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda LeBel more than expected).
Fields of papers citing papers by Amanda LeBel
This network shows the impact of papers produced by Amanda LeBel. 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 Amanda LeBel. The network helps show where Amanda LeBel may publish in the future.
Co-authors
The 7 scholars most cited alongside Amanda LeBel, 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 | Semantic reconstruction of continuous language from non-invasive brain recordings Hit paper breakdown → | 2023 | 151 |
| 2 | 2023 | 16 | |
| 3 | 2023 | 15 | |
| 4 | 2025 | 5 | |
| 5 | Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech | 2020 | 1 |
About Amanda LeBel
Amanda LeBel is a scholar working on Cognitive Neuroscience, Neurology, Molecular Biology, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 188 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (2 papers), Functional Brain Connectivity Studies (2 papers), Vestibular and auditory disorders (2 papers), Natural Language Processing Techniques (1 paper), Neurobiology of Language and Bilingualism (1 paper), Action Observation and Synchronization (1 paper), Neural Networks and Applications (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Cognitive Neuroscience (126 citations), Health Informatics (7 citations), Developmental and Educational Psychology (17 citations), Neurology (11 citations) and Experimental and Cognitive Psychology (15 citations). Amanda LeBel has collaborated with scholars based in United States. Frequent co-authors include Shailee Jain, Jerry Tang, Alexander G. Huth, Anila M. D’Mello, Lixiang Xu, Vy A. Vo and Javier S. Turek. Their work appears in journals such as Scientific Data, Current Opinion in Behavioral Sciences, Trends in Cognitive Sciences, Nature Neuroscience and Neural Information Processing Systems.
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.