Maxence Ernoult

764 citations
6 papers · 457 indexed · 1 hit paper · h-index 6
Topics
Advanced Memory and Neural Computing (5 papers)Neural dynamics and brain function (3 papers)Ferroelectric and Negative Capacitance Devices (2 papers)
Partner nations
FranceJapanSpain

In The Last Decade

Maxence Ernoult

6 papers receiving 447 citations

Hit Papers

Vowel recognition with four coupled spin-torque nano-osci...20182026202020232018100200300

Peers

Maxence Ernoult
Comparison fields: 5 of 39
  • Electrical and Electronic Engineering 348
  • Atomic and Molecular Physics, and Optics 201
  • Artificial Intelligence 198
  • Cognitive Neuroscience 53
  • Condensed Matter Physics 40
Replace Damir Vodenicarevic with:
Damir Vodenicarevic France
Philippe Talatchian France
Tifenn Hirtzlin France
William A. Borders Japan
Jihyun Lee South Korea
Fabian Hartmann Germany
Ahmed Zeeshan Pervaiz United States
Joseph S. Friedman United States
Mohammad Zahedinejad Sweden
S. Galdin‐Retailleau France
Maxence Ernoult relative to Damir Vodenicarevic France Damir Vodenicarevic's profile →
Citations per field
00.5×1.5×
Damir Vodenicarevic · 1×
Citations per year

Countries citing papers authored by Maxence Ernoult

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maxence Ernoult

This figure shows the co-authorship network connecting the top 25 collaborators of Maxence Ernoult. A scholar is included among the top collaborators of Maxence Ernoult based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxence Ernoult. Maxence Ernoult is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 24
2 37
3 17
4 5
5
Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown →
359
6 15

About Maxence Ernoult

Maxence Ernoult is a scholar working on Acoustics and Ultrasonics, Cognitive Neuroscience and Electrical and Electronic Engineering, 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) and Ferroelectric and Negative Capacitance Devices (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (201 citations), Artificial Intelligence (198 citations) and Electrical and Electronic Engineering (348 citations). Maxence Ernoult has collaborated with scholars based in France, Japan and Spain. Frequent co-authors include Damien Querlioz, Julie Grollier, M. Romera, Sumito Tsunegi, Akio Fukushima, Kay Yakushiji, Vincent Cros, Shinji Yuasa, Philippe Talatchian and Paolo Bortolotti. Their work appears in journals such as 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.

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