Tifenn Hirtzlin
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Co-authors
- Damien QuerliozDamir VodenicarevicMaxence ErnoultJulie GrollierNicolas LocatelliSumito TsunegiVincent CrosShinji Yuasa
- Topics
- Advanced Memory and Neural Computing (21 papers)Ferroelectric and Negative Capacitance Devices (16 papers)Neuroscience and Neural Engineering (5 papers)
- Cited by
- Electrical and Electronic EngineeringArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- 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
- Cellular and Molecular Neuroscience 63
- Cognitive Neuroscience 61
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 of co-authors of Tifenn Hirtzlin
This figure shows the co-authorship network connecting the top 25 collaborators of Tifenn Hirtzlin. A scholar is included among the top collaborators of Tifenn Hirtzlin 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 Tifenn Hirtzlin. Tifenn Hirtzlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 31 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 27 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 26 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown → | 359 |
| 20 | 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) and Neuroscience and Neural Engineering (5 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, Nature Communications and SHILAP Revista de lepidopterología.
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.