Noëlle Lewis
- Biophysics top 10%
- Electromagnetic Fields and Biological Effects 6
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- Neuroscience and Neural Engineering 16
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- EEG and Brain-Computer Interfaces 6
- Neural dynamics and brain function 4
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- Neurological disorders and treatments 3
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- Muscle activation and electromyography studies 6
- Analog and Mixed-Signal Circuit Design 6
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- stochastic dynamics and bifurcation 3
- Co-authors
- Sylvie RenaudYannick BornatTimothée LeviF. Poulletier de GannesI. LagroyeAndré GarenneAbdelhamid BenazzouzSylvain Saïghi
- Journals
- PLoS ONE (1 paper)Journal of Neurophysiology (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- FranceUnited StatesAustralia
In The Last Decade
Noëlle Lewis
30 papers receiving 233 citations
Peers
Comparison fields: 5 of 62
- Biophysics 39
- Cellular and Molecular Neuroscience 109
- Cognitive Neuroscience 91
- Architecture 4
- Neurology 31
Countries citing papers authored by Noëlle Lewis
This map shows the geographic impact of Noëlle Lewis'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 Noëlle Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noëlle Lewis more than expected).
Fields of papers citing papers by Noëlle Lewis
This network shows the impact of papers produced by Noëlle Lewis. 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 Noëlle Lewis. The network helps show where Noëlle Lewis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noëlle Lewis, 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 | 2025 | 6 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 1 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 0 | |
| 10 | Preliminary Study of Fibrotic Cardiac Tissues Characterization Using Impedance Spectroscopy | 2018 | 1 |
| 11 | 2018 | 18 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 39 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 0 | |
| 16 | 2013 | 22 | |
| 17 | 2013 | 3 | |
| 18 | 2012 | 7 | |
| 19 | 2010 | 14 | |
| 20 | 2004 | 4 |
About Noëlle Lewis
Noëlle Lewis is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 32 papers that have together received 237 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (16 papers), Electromagnetic Fields and Biological Effects (6 papers), Muscle activation and electromyography studies (6 papers), EEG and Brain-Computer Interfaces (6 papers), Analog and Mixed-Signal Circuit Design (6 papers), Neural dynamics and brain function (4 papers), Neurological disorders and treatments (3 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Biophysics (39 citations), Cellular and Molecular Neuroscience (109 citations) and Cognitive Neuroscience (91 citations). Noëlle Lewis has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Sylvie Renaud, Yannick Bornat, Timothée Levi, F. Poulletier de Gannes, I. Lagroye, André Garenne, Abdelhamid Benazzouz, Sylvain Saïghi, Emilie Faggiani and Jean Tomas. Their work appears in journals such as PLoS ONE, Journal of Neurophysiology and International Journal of Molecular Sciences.
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.