Frédéric Alexandre

1.4k total citations
71 papers, 589 citations indexed

About

Frédéric Alexandre is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Frédéric Alexandre has authored 71 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 27 papers in Cognitive Neuroscience and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Frédéric Alexandre's work include Neural Networks and Applications (38 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (7 papers). Frédéric Alexandre is often cited by papers focused on Neural Networks and Applications (38 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (7 papers). Frédéric Alexandre collaborates with scholars based in France, Tunisia and Russia. Frédéric Alexandre's co-authors include Adrián G. Palacios, Cheril Tapia‐Rojas, Álvaro O. Ardiles, Alfredo Kirkwood, Nibaldo C. Inestrosa, Laurent Bougrain, Yves Burnod, Mohamed Hédi Bedoui, Khaled Ben Khalifa and Ron Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Infectious Diseases and Neuropsychologia.

In The Last Decade

Frédéric Alexandre

61 papers receiving 554 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frédéric Alexandre France 14 209 188 66 65 59 71 589
Dong Cui China 16 57 0.3× 205 1.1× 57 0.9× 63 1.0× 85 1.4× 80 642
Fang Xu China 17 107 0.5× 132 0.7× 51 0.8× 65 1.0× 109 1.8× 60 923
Tingting Zhang China 19 134 0.6× 224 1.2× 40 0.6× 53 0.8× 32 0.5× 74 997
José Manuel Ferrández Spain 17 127 0.6× 406 2.2× 65 1.0× 155 2.4× 187 3.2× 101 1.0k
Ramazan Teki̇n Türkiye 11 118 0.6× 237 1.3× 33 0.5× 52 0.8× 36 0.6× 32 664
Ernesto Costa Portugal 17 496 2.4× 127 0.7× 53 0.8× 28 0.4× 185 3.1× 102 1.2k
Junjie Chen China 17 105 0.5× 557 3.0× 29 0.4× 28 0.4× 55 0.9× 81 933
Patrick Krauß Germany 21 223 1.1× 692 3.7× 20 0.3× 75 1.2× 42 0.7× 67 1.1k

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-authorship network of co-authors of Frédéric Alexandre

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Alexandre. A scholar is included among the top collaborators of Frédéric Alexandre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frédéric Alexandre. Frédéric Alexandre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Guoqing, et al.. (2025). Position Paper: Large Language Models need Episodic Memory. 1–10.
2.
Naudé, Jérémie, et al.. (2022). A VTA GABAergic computational model of dissociated reward prediction error computation in classical conditioning. Neurobiology of Learning and Memory. 193. 107653–107653.
3.
Alexandre, Frédéric, et al.. (2021). Knowledge extraction from the learning of sequences in a long short term memory (LSTM) architecture. INRIA a CCSD electronic archive server. 15 indexed citations
4.
Alexandre, Frédéric, et al.. (2021). Higher Cognitive Functions in Bio-Inspired Artificial. ERCIM news/ERCIM news online edition. 125. 2 indexed citations
5.
Alexandre, Frédéric. (2021). A global framework for a systemic view of brain modeling. Brain Informatics. 8(1). 3–3. 7 indexed citations
6.
Alexandre, Frédéric, et al.. (2021). Why, What and How to Help Each Citizen to Understand Artificial Intelligence?. KI - Künstliche Intelligenz. 35(2). 191–199. 9 indexed citations
7.
Viéville, Thierry, et al.. (2019). Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-Prototypes. Frontiers in Computational Neuroscience. 12. 100–100. 10 indexed citations
8.
Alexandre, Frédéric, et al.. (2018). Pattern separation in the hippocampus: distinct circuits under different conditions. Brain Structure and Function. 223(6). 2785–2808. 24 indexed citations
9.
Goffart, Laurent, et al.. (2015). A parsimonious computational model of visual target position encoding in the superior colliculus. Biological Cybernetics. 109(4-5). 549–559. 13 indexed citations
10.
Viéville, Thierry, et al.. (2011). No clock to rule them all. Journal of Physiology-Paris. 105(1-3). 83–90. 2 indexed citations
11.
Alexandre, Frédéric. (2009). Cortical basis of communication: Local computation, coordination, attention. Neural Networks. 22(2). 126–133. 2 indexed citations
12.
Alexandre, Frédéric, et al.. (2007). From physiological principles to computational models of the cortex. Journal of Physiology-Paris. 101(1-3). 32–39. 5 indexed citations
13.
Alexandre, Frédéric, et al.. (2005). Artificial Neural Networks to extract Knowledge from EEG. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
14.
Bougrain, Laurent, et al.. (2005). Optimal brain surgeon variants for feature selection. 2. 1371–1374. 6 indexed citations
15.
Alexandre, Frédéric, et al.. (2002). Highly adaptive neural networks for adaptive neuro-control: the OWE architecture. 2. 1128–1132. 1 indexed citations
16.
Alexandre, Frédéric, et al.. (1999). Specialization within cortical models : An application to causality learning. HAL (Le Centre pour la Communication Scientifique Directe). 263–268. 3 indexed citations
17.
Alexandre, Frédéric, et al.. (1997). Knowledge extraction from neural networks for signal interpretation.. The European Symposium on Artificial Neural Networks. 11(7). 483–8.
18.
Hilario, Mélanie, et al.. (1995). Neurosymbolic integration: unified versus hybrid approaches.. The European Symposium on Artificial Neural Networks. 2 indexed citations
19.
Hilario, Mélanie, et al.. (1995). Neurosymbolic Integration: Cognitive Grounds and Computational Strategies.. The Journal of Infectious Diseases. 221(Suppl 5). 193–203. 5 indexed citations
20.
Fort, Jean‐Claude, et al.. (1994). A lateral contribution learning algorithm for multi MLP architecture.. The European Symposium on Artificial Neural Networks. 83(2). 279–85. 8 indexed citations

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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