Frédéric Alexandre
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
- Visual perception and processing mechanisms
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
-
- Neural Networks and Applications 60
- Fuzzy Logic and Control Systems 9
-
- Neural dynamics and brain function 35
- EEG and Brain-Computer Interfaces 10
- Memory and Neural Mechanisms 9
- Visual perception and processing mechanisms 8
- Co-authors
- Laurent Bougrain (13 shared papers)Álvaro O. Ardiles (1 shared paper)Nibaldo C. Inestrosa (1 shared paper)Alfredo Kirkwood (1 shared paper)Adrián G. Palacios (2 shared papers)Cheril Tapia‐Rojas (1 shared paper)Yves Burnod (3 shared papers)Mohamed Hédi Bedoui (10 shared papers)
In The Last Decade
Frédéric Alexandre
109 papers receiving 902 citations
Peers
Comparison fields: 5 of 146
- Cognitive Neuroscience 287
- Artificial Intelligence 371
- Signal Processing 70
- Neurology 34
- Information Systems and Management 30
Countries citing papers authored by Frédéric Alexandre
This map shows the geographic impact of Frédéric Alexandre'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 Frédéric Alexandre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Alexandre more than expected).
Fields of papers citing papers by Frédéric Alexandre
This network shows the impact of papers produced by Frédéric Alexandre. 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 Frédéric Alexandre. The network helps show where Frédéric Alexandre may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Alexandre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 116 | |
| 2 | 2017 | 93 | |
| 3 | 2007 | 34 | |
| 4 | 1991 | 33 | |
| 5 | 2015 | 30 | |
| 6 | 1996 | 28 | |
| 7 | 2010 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2002 | 24 | |
| 10 | 2003 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2005 | 21 | |
| 13 | 2005 | 20 | |
| 14 | 2005 | 20 | |
| 15 | 2021 | 18 | |
| 16 | Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks | 2005 | 17 |
| 17 | 2013 | 17 | |
| 18 | [Connectionist models of memory]. | 2001 | 16 |
| 19 | 2015 | 15 | |
| 20 | 2021 | 14 |
About Frédéric Alexandre
Frédéric Alexandre is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 124 papers that have together received 953 indexed citations. Recurring topics across this work include Neural Networks and Applications (60 papers), Neural dynamics and brain function (35 papers), Blind Source Separation Techniques (12 papers), EEG and Brain-Computer Interfaces (10 papers), Memory and Neural Mechanisms (9 papers), Advanced Memory and Neural Computing (9 papers), Fuzzy Logic and Control Systems (9 papers) and Visual perception and processing mechanisms (8 papers). The work is most often cited by research in Cognitive Neuroscience (287 citations), Artificial Intelligence (371 citations), Signal Processing (70 citations), Neurology (34 citations) and Information Systems and Management (30 citations). Frédéric Alexandre has collaborated with scholars based in France, Russia and Tunisia. Frequent co-authors include Laurent Bougrain, Álvaro O. Ardiles, Nibaldo C. Inestrosa, Alfredo Kirkwood, Adrián G. Palacios, Cheril Tapia‐Rojas, Yves Burnod, Mohamed Hédi Bedoui, Thierry Viéville and Jean‐Paul Haton. Their work appears in journals such as Neurocomputing, Neural Networks, BMC Neuroscience, Biological Cybernetics and Journal of Physiology-Paris.
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.