Frédéric Alexandre

1.4k citations
102 papers · 779 · h-index 16

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • EEG and Brain-Computer Interfaces
    • Neural Networks and Applications

Papers in

    • Neural Networks and Applications 56
    • Fuzzy Logic and Control Systems 8
    • Neural dynamics and brain function 30
    • Visual perception and processing mechanisms 8
    • EEG and Brain-Computer Interfaces 7
    • Memory and Neural Mechanisms 6

Frédéric Alexandre

90 papers receiving 728 citations

Peers

Frédéric Alexandre
Comparison fields: 5 of 132
  • Cognitive Neuroscience 250
  • Artificial Intelligence 318
  • Signal Processing 66
  • Neurology 28
  • Cellular and Molecular Neuroscience 61
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Alexandre

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 200734
3 199133
4 199629
5 201528
6 201024
7 201824
8 200323
9 200223
10 200820
11 200520
12 202118
13
Automatic classification of sleep stages on a EEG signal by artificial neural networks
200517
14 201316
15
[Connectionist models of memory].
200116
16 201515
17 200515
18 200514
19
Modular Integration of Connectionist and Symbolic Processing in Knowledge-Based Systems
199412
20 199411

About Frédéric Alexandre

Frédéric Alexandre is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 102 papers that have together received 779 indexed citations. Recurring topics across this work include Neural Networks and Applications (56 papers), Neural dynamics and brain function (30 papers), Blind Source Separation Techniques (12 papers), Advanced Memory and Neural Computing (9 papers), Visual perception and processing mechanisms (8 papers), Fuzzy Logic and Control Systems (8 papers), EEG and Brain-Computer Interfaces (7 papers) and Memory and Neural Mechanisms (6 papers). The work is most often cited by research in Cognitive Neuroscience (250 citations), Artificial Intelligence (318 citations), Signal Processing (66 citations), Neurology (28 citations) and Cellular and Molecular Neuroscience (61 citations). Frédéric Alexandre has collaborated with scholars based in France, Tunisia and India. Frequent co-authors include Laurent Bougrain, Adrián G. Palacios, Yves Burnod, Nibaldo C. Inestrosa, Cheril Tapia‐Rojas, Álvaro O. Ardiles, Alfredo Kirkwood, Mohamed Hédi Bedoui, Jean‐Paul Haton and Khaled Ben Khalifa. Their work appears in journals such as Neurocomputing, Biological Cybernetics, Journal of Physiology-Paris, BMC Neuroscience 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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