Aziliz Lecomte
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neural Engineering 12
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- Advanced Memory and Neural Computing 8
- Energy Harvesting in Wireless Networks 2
- CCD and CMOS Imaging Sensors 2
- Co-authors
- Émeline Descamps (4 shared papers)Christian Bergaud (4 shared papers)Gian Nicola Angotzi (8 shared papers)Fabio Boi (6 shared papers)Luca Berdondini (8 shared papers)Stefano Zucca (1 shared paper)Lionel Dahan (2 shared papers)Antonino Casile (1 shared paper)
In The Last Decade
Aziliz Lecomte
17 papers receiving 456 citations
Peers
Comparison fields: 5 of 51
- Cellular and Molecular Neuroscience 381
- Cognitive Neuroscience 186
- Polymers and Plastics 79
- Biomedical Engineering 162
- Electrical and Electronic Engineering 182
Countries citing papers authored by Aziliz Lecomte
This map shows the geographic impact of Aziliz Lecomte'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 Aziliz Lecomte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aziliz Lecomte more than expected).
Fields of papers citing papers by Aziliz Lecomte
This network shows the impact of papers produced by Aziliz Lecomte. 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 Aziliz Lecomte. The network helps show where Aziliz Lecomte may publish in the future.
Co-authors
The 25 scholars most cited alongside Aziliz Lecomte, 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 | 2017 | 155 | |
| 2 | 2018 | 121 | |
| 3 | 2017 | 68 | |
| 4 | 2020 | 55 | |
| 5 | 2017 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2019 | 5 | |
| 11 | 2002 | 5 | |
| 12 | 1982 | 3 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 1978 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 1981 | 1 |
About Aziliz Lecomte
Aziliz Lecomte is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Polymers and Plastics, having authored 17 papers that have together received 464 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (3 papers), Conducting polymers and applications (3 papers), Radiation Therapy and Dosimetry (2 papers), Muscle activation and electromyography studies (2 papers), Energy Harvesting in Wireless Networks (2 papers) and CCD and CMOS Imaging Sensors (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (381 citations), Cognitive Neuroscience (186 citations), Polymers and Plastics (79 citations), Biomedical Engineering (162 citations) and Electrical and Electronic Engineering (182 citations). Aziliz Lecomte has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Émeline Descamps, Christian Bergaud, Gian Nicola Angotzi, Fabio Boi, Luca Berdondini, Stefano Zucca, Lionel Dahan, Antonino Casile, Mario Malerba and Ermanno Miele. Their work appears in journals such as Advanced Science, Biosensors and Bioelectronics, Journal of Microelectromechanical Systems, Journal of Neural Engineering and Microelectronic Engineering.
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.