Marina Reyboz

567 citations
29 papers · 344 indexed · h-index 11

Marina Reyboz

26 papers receiving 331 citations

Peers

Marina Reyboz
Comparison fields: 5 of 28
  • Electrical and Electronic Engineering 324
  • Cellular and Molecular Neuroscience 44
  • Hardware and Architecture 16
  • Polymers and Plastics 18
  • Cognitive Neuroscience 13
Replace Mathieu Moreau with:
Mathieu Moreau France
Gary Bronner United States
Chung-Cheng Chou Taiwan
S. S. Teja Nibhanupudi United States
Zia Karim United States
Ahish Shylendra United States
Ogun Turkyilmaz France
Rajendra Bishnoi Netherlands
G. Cibrario France
Usman Isyaku Bature Malaysia
Marina Reyboz relative to Mathieu Moreau France Mathieu Moreau's profile →
Citations per field
00.5×2.6×
Mathieu Moreau · 1×
Citations per year

Countries citing papers authored by Marina Reyboz

Since Specialization
Citations

This map shows the geographic impact of Marina Reyboz'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 Marina Reyboz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Reyboz more than expected).

Fields of papers citing papers by Marina Reyboz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina Reyboz. 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 Marina Reyboz. The network helps show where Marina Reyboz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marina Reyboz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marina Reyboz Line = papers co-authored together Marina Reyboz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20231
5 20220
6 20214
7 20213
8 20204
9 201810
10 20183
11 201421
12 201469
13 201312
14 201319
15 201237
16 20118
17 201026
18 200925
19 200731
20
Explicit Threshold Voltage Based Compact Model of Independent Double Gate MOSFET
20066

About Marina Reyboz

Marina Reyboz is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 29 papers that have together received 344 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Semiconductor materials and devices (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Silicon Carbide Semiconductor Technologies (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Phase-change materials and chalcogenides (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (324 citations), Cellular and Molecular Neuroscience (44 citations) and Hardware and Architecture (16 citations). Marina Reyboz has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include O. Rozeau, M. Bocquet, T. Poiroux, Jean‐Michel Portal, Fabien Clermidy, Ogun Turkyilmaz, J. Jomaah, Ο. Thomas, Elisa Vianello and P. Martin. Their work appears in journals such as IEEE Transactions on Electron Devices, Japanese Journal of Applied Physics and Neural Networks.

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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