Maxence Ernoult
Impact in
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- Magnetic properties of thin films
- Quantum and electron transport phenomena
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
Papers in
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- Advanced Memory and Neural Computing 5
- Ferroelectric and Negative Capacitance Devices 2
- Advanced Fiber Optic Sensors 1
- Semiconductor materials and devices 1
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- Neural dynamics and brain function 3
- Co-authors
- Damien Querlioz (5 shared papers)Julie Grollier (4 shared papers)Hitoshi Kubota (2 shared papers)Philippe Talatchian (2 shared papers)Kay Yakushiji (2 shared papers)Akio Fukushima (2 shared papers)Paolo Bortolotti (2 shared papers)M. Romera (2 shared papers)
In The Last Decade
Maxence Ernoult
6 papers receiving 447 citations
Maxence Ernoult's Hit Papers
Peers
Comparison fields: 5 of 39
- Atomic and Molecular Physics, and Optics 201
- Artificial Intelligence 198
- Electrical and Electronic Engineering 348
- Structural Biology 5
- Condensed Matter Physics 40
Countries citing papers authored by Maxence Ernoult
This map shows the geographic impact of Maxence Ernoult'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 Maxence Ernoult with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxence Ernoult more than expected).
Fields of papers citing papers by Maxence Ernoult
This network shows the impact of papers produced by Maxence Ernoult. 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 Maxence Ernoult. The network helps show where Maxence Ernoult may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxence Ernoult, 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 | Vowel recognition with four coupled spin-torque nano-oscillators Hit paper breakdown → | 2018 | 359 |
| 2 | 2021 | 37 | |
| 3 | 2022 | 24 | |
| 4 | 2019 | 17 | |
| 5 | 2016 | 15 | |
| 6 | 2019 | 5 |
About Maxence Ernoult
Maxence Ernoult is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 457 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Neural dynamics and brain function (3 papers), Neural Networks and Reservoir Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Machine Learning and ELM (1 paper), Advanced Fiber Optic Sensors (1 paper), Semiconductor materials and devices (1 paper) and Random lasers and scattering media (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (201 citations), Artificial Intelligence (198 citations), Electrical and Electronic Engineering (348 citations), Structural Biology (5 citations) and Condensed Matter Physics (40 citations). Maxence Ernoult has collaborated with scholars based in France, Japan and Israel. Frequent co-authors include Damien Querlioz, Julie Grollier, Hitoshi Kubota, Philippe Talatchian, Kay Yakushiji, Akio Fukushima, Paolo Bortolotti, M. Romera, Sumito Tsunegi and Vincent Cros. Their work appears in journals such as iScience, Scientific Reports, Nature, Physical Review Letters 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.