Brieuc Conan‐Guez

550 total citations
13 papers, 272 citations indexed

About

Brieuc Conan‐Guez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Brieuc Conan‐Guez has authored 13 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Brieuc Conan‐Guez's work include Neural Networks and Applications (11 papers), Face and Expression Recognition (5 papers) and Blind Source Separation Techniques (4 papers). Brieuc Conan‐Guez is often cited by papers focused on Neural Networks and Applications (11 papers), Face and Expression Recognition (5 papers) and Blind Source Separation Techniques (4 papers). Brieuc Conan‐Guez collaborates with scholars based in France and Belgium. Brieuc Conan‐Guez's co-authors include Fabrice Rossi, Michel Verleysen and François Fleuret and has published in prestigious journals such as Neurocomputing, Neural Networks and Comptes Rendus Mathématique.

In The Last Decade

Brieuc Conan‐Guez

11 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brieuc Conan‐Guez France	7	163	74	55	33	32	13	272
Nathalie Villa France	5	76 0.5×	49 0.7×	20 0.4×	36 1.1×	39 1.2×	8	213
Rafael A. Rodríguez‐Gómez Spain	10	119 0.7×	52 0.7×	101 1.8×	29 0.9×	24 0.8×	21	321
Wen Wen China	11	193 1.2×	88 1.2×	15 0.3×	23 0.7×	20 0.6×	44	314
Ismo Kärkkäinen Finland	7	253 1.6×	61 0.8×	87 1.6×	5 0.2×	12 0.4×	8	322
Jigui Sun China	4	193 1.2×	124 1.7×	29 0.5×	14 0.4×	38 1.2×	14	359
R.J. Alcock United Kingdom	7	187 1.1×	80 1.1×	175 3.2×	10 0.3×	12 0.4×	11	392
Shingo Tomita Japan	8	125 0.8×	194 2.6×	64 1.2×	46 1.4×	7 0.2×	20	318
Ahlame Douzal-Chouakria France	8	111 0.7×	29 0.4×	80 1.5×	9 0.3×	8 0.3×	13	254
Hyunsoo Kim South Korea	6	139 0.9×	78 1.1×	19 0.3×	8 0.2×	99 3.1×	17	331
Yunwen Lei China	11	242 1.5×	97 1.3×	19 0.3×	6 0.2×	11 0.3×	51	355

Countries citing papers authored by Brieuc Conan‐Guez

Since Specialization

Citations

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

Fields of papers citing papers by Brieuc Conan‐Guez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brieuc Conan‐Guez. 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 Brieuc Conan‐Guez. The network helps show where Brieuc Conan‐Guez may publish in the future.

Co-authorship network of co-authors of Brieuc Conan‐Guez

This figure shows the co-authorship network connecting the top 25 collaborators of Brieuc Conan‐Guez. A scholar is included among the top collaborators of Brieuc Conan‐Guez 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 Brieuc Conan‐Guez. Brieuc Conan‐Guez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Rossi, Fabrice & Brieuc Conan‐Guez. (2011). Un modèle semi-paramétrique neuronal pour la régression et la discrimination sur données fonctionnelles. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine).

Conan‐Guez, Brieuc, et al.. (2006). Fast algorithm and implementation of dissimilarity self-organizing maps. Neural Networks. 19(6-7). 855–863. 28 indexed citations

Rossi, Fabrice & Brieuc Conan‐Guez. (2005). Estimation consistante des paramètres d'un modèle non linéaire pour des données fonctionnelles discrétisées aléatoirement. Comptes Rendus Mathématique. 340(2). 167–170.

Rossi, Fabrice, et al.. (2005). Representation of functional data in neural networks. Neurocomputing. 64. 183–210. 81 indexed citations

Conan‐Guez, Brieuc, et al.. (2005). A Fast Algorithm for the Self-Organizing Map on Dissimilarity Data. 7 indexed citations

Rossi, Fabrice, et al.. (2004). Clustering Functional Data with the SOM algorithm. The European Symposium on Artificial Neural Networks. 305–312. 43 indexed citations

Rossi, Fabrice, et al.. (2004). Functional Radial Basis Function Network (FRBFN). Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations

Rossi, Fabrice, et al.. (2004). Functional radial basis function networks.. The European Symposium on Artificial Neural Networks. 313–318. 2 indexed citations

Rossi, Fabrice & Brieuc Conan‐Guez. (2004). Functional preprocessing for multilayer perceptrons.. The European Symposium on Artificial Neural Networks. 319–324. 1 indexed citations

10.

Rossi, Fabrice & Brieuc Conan‐Guez. (2004). Functional multi-layer perceptron: a non-linear tool for functional data analysis. Neural Networks. 18(1). 45–60. 73 indexed citations

11.

Conan‐Guez, Brieuc, et al.. (2004). Self-organizing maps and symbolic data. 2(1). 4 indexed citations

12.

Rossi, Fabrice, Brieuc Conan‐Guez, & François Fleuret. (2003). Functional data analysis with multi layer perceptrons. 2843–2848. 24 indexed citations

13.

Rossi, Fabrice, Brieuc Conan‐Guez, & François Fleuret. (2002). Theoretical properties of functional Multi Layer Perceptrons.. The European Symposium on Artificial Neural Networks. 7–12. 7 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.

Explore authors with similar magnitude of impact