Manuel Samuelides

883 total citations
38 papers, 483 citations indexed

About

Manuel Samuelides is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Manuel Samuelides has authored 38 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Cognitive Neuroscience and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Manuel Samuelides's work include Neural dynamics and brain function (15 papers), Neural Networks and Applications (13 papers) and stochastic dynamics and bifurcation (7 papers). Manuel Samuelides is often cited by papers focused on Neural dynamics and brain function (15 papers), Neural Networks and Applications (13 papers) and stochastic dynamics and bifurcation (7 papers). Manuel Samuelides collaborates with scholars based in France, United States and Belgium. Manuel Samuelides's co-authors include Bruno Cessac, Mathias Quoy, B. Doyon, Laurent Perrinet, Simon J. Thorpe, Peter J. Schmid, Denis Sipp, Stéphane Grihon, Joseph Morlier and Nathalie Bartoli and has published in prestigious journals such as Journal of Fluid Mechanics, Neurocomputing and Neural Networks.

In The Last Decade

Manuel Samuelides

34 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Samuelides France 12 242 178 157 117 70 38 483
Yanyang Xiao China 6 87 0.4× 109 0.6× 96 0.6× 37 0.3× 55 0.8× 11 438
S. Amari Japan 14 141 0.6× 55 0.3× 237 1.5× 29 0.2× 143 2.0× 28 719
Weiwei Fan China 14 52 0.2× 75 0.4× 59 0.4× 91 0.8× 50 0.7× 53 527
Ricardo Riaza Spain 13 67 0.3× 226 1.3× 51 0.3× 258 2.2× 35 0.5× 58 708
Sanya Mitaim United States 11 211 0.9× 480 2.7× 221 1.4× 50 0.4× 12 0.2× 26 792
Alexandre Mauroy Belgium 10 57 0.2× 375 2.1× 47 0.3× 37 0.3× 131 1.9× 34 536
Karlheinz Ochs Germany 12 131 0.5× 94 0.5× 93 0.6× 371 3.2× 36 0.5× 79 496
G. Barna Hungary 8 97 0.4× 76 0.4× 275 1.8× 35 0.3× 10 0.1× 13 509
Vince Lyzinski United States 10 69 0.3× 192 1.1× 237 1.5× 18 0.2× 26 0.4× 28 484
Tetsuya Yoshinaga Japan 13 245 1.0× 414 2.3× 42 0.3× 61 0.5× 25 0.4× 75 647

Countries citing papers authored by Manuel Samuelides

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Samuelides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Samuelides

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Samuelides. A scholar is included among the top collaborators of Manuel Samuelides 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 Manuel Samuelides. Manuel Samuelides 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.
Zenou, Emmanuel & Manuel Samuelides. (2020). Galois Lattice Theory for Probabilistic Visual Landmarks. JUCS - Journal of Universal Computer Science. 10. 1014–1033.
2.
Bartoli, Nathalie, et al.. (2010). Surrogate modeling approximation using a mixture of experts based on EM joint estimation. Structural and Multidisciplinary Optimization. 43(2). 243–259. 33 indexed citations
3.
Faugeras, Olivier, Yves Frégnac, & Manuel Samuelides. (2007). A future for systems and computational neuroscience in France?. Journal of Physiology-Paris. 101(1-3). 1–8. 1 indexed citations
4.
Samuelides, Manuel, et al.. (2007). Multilevel optimization with local mass minimization. Open Archive Toulouse Archive Ouverte (University of Toulouse). 1 indexed citations
5.
Samuelides, Manuel & Bruno Cessac. (2007). Random recurrent neural networks dynamics. The European Physical Journal Special Topics. 142(1). 89–122. 15 indexed citations
6.
Samuelides, Manuel, et al.. (2006). Application of response surface methodology to stiffened \npanel optimization. Open Archive Toulouse Archive Ouverte (University of Toulouse). 7 indexed citations
7.
Samuelides, Manuel & Emmanuel Zenou. (2005). Learning-based visual localization using formal concept lattices. 23. 43–52. 1 indexed citations
8.
Zenou, Emmanuel & Manuel Samuelides. (2004). Utilisation des treillis de Galois pour la caractérisation d'ensembles d'images. Open Archive Toulouse Archive Ouverte (University of Toulouse).
9.
Zenou, Emmanuel & Manuel Samuelides. (2003). Characterization of image sets: the Galois Lattice approach. 3 indexed citations
10.
Perrinet, Laurent & Manuel Samuelides. (2002). Sparse image coding using an asynchronous spiking neural network.. The European Symposium on Artificial Neural Networks. 12(3). 313–318. 11 indexed citations
11.
Samuelides, Manuel, et al.. (2002). Large deviations and mean-field theory for asymmetric random recurrent neural networks. Probability Theory and Related Fields. 123(1). 41–75. 23 indexed citations
12.
Perrinet, Laurent, Arnaud Delorme, Manuel Samuelides, & Simon J. Thorpe. (2001). Networks of integrate-and-fire neuron using rank order coding A: How to implement spike time dependent Hebbian plasticity. Neurocomputing. 38-40. 817–822. 23 indexed citations
13.
Pinaud, Olivier, et al.. (1999). Mean-field equations reveal synchronization in a 2-populations neural network model.. The European Symposium on Artificial Neural Networks. 100(52). 7–12. 1 indexed citations
14.
Quoy, Mathias, et al.. (1998). Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learning. Neural Networks. 11(3). 521–533. 31 indexed citations
15.
Doyon, B., Bruno Cessac, Mathias Quoy, & Manuel Samuelides. (1995). Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks. Acta Biotheoretica. 43(1-2). 169–175. 5 indexed citations
16.
Doyon, B., Bruno Cessac, Mathias Quoy, & Manuel Samuelides. (1994). On bifurcations and chaos in random neural networks. Acta Biotheoretica. 42(2-3). 215–225. 14 indexed citations
17.
Doyon, B., Bruno Cessac, Mathias Quoy, & Manuel Samuelides. (1992). Destabilization and Route to Chaos in Neural Networks with Random Connectivity. Neural Information Processing Systems. 5. 549–555. 1 indexed citations
18.
Benaı̈m, Michel & Manuel Samuelides. (1990). Dynamical properties of neural nets using competitive activation mechanisms. 541–546 vol.3. 7 indexed citations
19.
Samuelides, Manuel, et al.. (1986). Instabilities of the Quantum Rotator and Transition in the Quasi-Energy Spectrum. Europhysics Letters (EPL). 1(5). 203–208. 19 indexed citations
20.
Samuelides, Manuel. (1979). Tout feuilletage à croissance polynomiale est hyperfini. Journal of Functional Analysis. 34(3). 363–369. 3 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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