Aida Todri‐Sanial
- Hardware and Architecture top 5%
-
- Advanced Memory and Neural Computing 46
- 3D IC and TSV technologies 22
- Low-power high-performance VLSI design 20
- Ferroelectric and Negative Capacitance Devices 15
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing 27
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 15
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- Carbon Nanotubes in Composites 21
- Graphene research and applications 14
- Co-authors
- Siyuan NiuYuanqing ChengPatrick GirardAlberto BosioA. VirazelThierry GilWeisheng ZhaoAntonio Maffucci
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (4 papers)Journal of Applied Physics (1 paper)
- Partner nations
- FranceNetherlandsSwitzerland
In The Last Decade
Aida Todri‐Sanial
126 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Hardware and Architecture 111
- Electrical and Electronic Engineering 824
- Artificial Intelligence 304
- Cognitive Neuroscience 126
- Polymers and Plastics 87
Countries citing papers authored by Aida Todri‐Sanial
This map shows the geographic impact of Aida Todri‐Sanial'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 Aida Todri‐Sanial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aida Todri‐Sanial more than expected).
Fields of papers citing papers by Aida Todri‐Sanial
This network shows the impact of papers produced by Aida Todri‐Sanial. 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 Aida Todri‐Sanial. The network helps show where Aida Todri‐Sanial may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aida Todri‐Sanial, 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | ONN-Based On-chip Learning for Obstacle Avoidance on Mobile Robot | 2023 | 1 |
| 6 | 2023 | 3 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 34 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 6 | |
| 15 | Quantum Mechanical Simulations of 2D Materials for Unconventional Computing and Biosensing Applications | 2021 | 1 |
| 16 | 2019 | 77 | |
| 17 | 2016 | 5 | |
| 18 | 2016 | 10 | |
| 19 | Carbon Nanotubes for Interconnects: Process, Design and Applications | 2016 | 7 |
| 20 | 2012 | 3 |
About Aida Todri‐Sanial
Aida Todri‐Sanial is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence, having authored 130 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (46 papers), Neural Networks and Reservoir Computing (27 papers), 3D IC and TSV technologies (22 papers), Carbon Nanotubes in Composites (21 papers), Low-power high-performance VLSI design (20 papers), Neural dynamics and brain function (15 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Graphene research and applications (14 papers). The work is most often cited by research in Hardware and Architecture (111 citations), Electrical and Electronic Engineering (824 citations) and Artificial Intelligence (304 citations). Aida Todri‐Sanial has collaborated with scholars based in France, Netherlands and Switzerland. Frequent co-authors include Siyuan Niu, Yuanqing Cheng, Patrick Girard, Alberto Bosio, A. Virazel, Thierry Gil, Weisheng Zhao, Antonio Maffucci, Luigi Dilillo and Jean Dijon. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.