Tifenn Hirtzlin
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- Advanced Memory and Neural Computing 21
- Ferroelectric and Negative Capacitance Devices 16
- CCD and CMOS Imaging Sensors 3
- Semiconductor materials and devices 2
- Artificial Intelligence top 5%
- Machine Learning and ELM 4
- Neural Networks and Applications 2
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- Neuroscience and Neural Engineering 5
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- Neural dynamics and brain function 4
- Co-authors
- Damien QuerliozDamir VodenicarevicMaxence ErnoultJulie GrollierNicolas LocatelliSumito TsunegiVincent CrosShinji Yuasa
- Cited by
- Electrical and Electronic EngineeringArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Partner nations
- FranceSwitzerlandUnited States
In The Last Decade
Tifenn Hirtzlin
21 papers receiving 547 citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Electrical and Electronic Engineering 457
- Artificial Intelligence 218
- Atomic and Molecular Physics, and Optics 199
- Condensed Matter Physics 41
- Cellular and Molecular Neuroscience 63
Countries citing papers authored by Tifenn Hirtzlin
This map shows the geographic impact of Tifenn Hirtzlin'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 Tifenn Hirtzlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tifenn Hirtzlin more than expected).
Fields of papers citing papers by Tifenn Hirtzlin
This network shows the impact of papers produced by Tifenn Hirtzlin. 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 Tifenn Hirtzlin. The network helps show where Tifenn Hirtzlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tifenn Hirtzlin, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 22 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 27 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 11 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 26 | |
| 17 | 2019 | 0 | |
| 18 | 2018 | 3 | |
| 19 | Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown → | 2018 | 359 |
| 20 | 2017 | 25 |
About Tifenn Hirtzlin
Tifenn Hirtzlin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 23 papers that have together received 559 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (16 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (4 papers), Machine Learning and ELM (4 papers), CCD and CMOS Imaging Sensors (3 papers), Neural Networks and Applications (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (457 citations), Artificial Intelligence (218 citations) and Atomic and Molecular Physics, and Optics (199 citations). Tifenn Hirtzlin has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Damien Querlioz, Damir Vodenicarevic, Maxence Ernoult, Julie Grollier, Nicolas Locatelli, Sumito Tsunegi, Vincent Cros, Shinji Yuasa, Juan Trastoy and Philippe Talatchian. Their work appears in journals such as Nature Communications, Nature Electronics, Optics Express, Nature and IEEE Access.
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.