Cédric Meyer
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Ferroelectric and Negative Capacitance Devices
Papers in
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- Neural dynamics and brain function 2
- Spatial Neglect and Hemispheric Dysfunction 1
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- Advanced Memory and Neural Computing 3
- CCD and CMOS Imaging Sensors 2
- Co-authors
- Ryad Benosman (3 shared papers)Garrick Orchard (1 shared paper)Ralph Etienne‐Cummings (1 shared paper)C. Posch (1 shared paper)Nitish V. Thakor (1 shared paper)Sio-Hoï Ieng (1 shared paper)David Filliat (1 shared paper)Xavier Lagorce (1 shared paper)
- Journals
- Motivation and Emotion (1 paper)Physiology & Behavior (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Neural Computation (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Cédric Meyer
5 papers receiving 351 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 157
- Electrical and Electronic Engineering 284
- Cellular and Molecular Neuroscience 66
- Computer Vision and Pattern Recognition 60
- Instrumentation 10
Countries citing papers authored by Cédric Meyer
This map shows the geographic impact of Cédric Meyer'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 Cédric Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Meyer more than expected).
Fields of papers citing papers by Cédric Meyer
This network shows the impact of papers produced by Cédric Meyer. 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 Cédric Meyer. The network helps show where Cédric Meyer may publish in the future.
Co-authors
The 19 scholars most cited alongside Cédric Meyer, 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 | 2015 | 197 | |
| 2 | 2014 | 110 | |
| 3 | 2015 | 37 | |
| 4 | 2007 | 12 | |
| 5 | 2023 | 2 |
About Cédric Meyer
Cédric Meyer is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Social Psychology, Clinical Psychology and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), CCD and CMOS Imaging Sensors (2 papers), Neural dynamics and brain function (2 papers), Gaze Tracking and Assistive Technology (1 paper), Behavioral Health and Interventions (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Spatial Neglect and Hemispheric Dysfunction (1 paper) and Mindfulness and Compassion Interventions (1 paper). The work is most often cited by research in Cognitive Neuroscience (157 citations), Electrical and Electronic Engineering (284 citations), Cellular and Molecular Neuroscience (66 citations), Computer Vision and Pattern Recognition (60 citations) and Instrumentation (10 citations). Cédric Meyer has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Ryad Benosman, Garrick Orchard, Ralph Etienne‐Cummings, C. Posch, Nitish V. Thakor, Sio-Hoï Ieng, David Filliat, Xavier Lagorce, Chiara Bartolozzi and Olivier Marre. Their work appears in journals such as Motivation and Emotion, Physiology & Behavior, IEEE Transactions on Neural Networks and Learning Systems, Neural Computation and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.