Bernard Delyon

5.2k total citations · 1 hit paper
59 papers, 3.3k citations indexed

About

Bernard Delyon is a scholar working on Control and Systems Engineering, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Bernard Delyon has authored 59 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 12 papers in Applied Mathematics. Recurrent topics in Bernard Delyon's work include Control Systems and Identification (15 papers), Fault Detection and Control Systems (9 papers) and Stochastic processes and financial applications (8 papers). Bernard Delyon is often cited by papers focused on Control Systems and Identification (15 papers), Fault Detection and Control Systems (9 papers) and Stochastic processes and financial applications (8 papers). Bernard Delyon collaborates with scholars based in France, United States and Sweden. Bernard Delyon's co-authors include Anatoli Juditsky, Albert Benveniste, Qinghua Zhang, Jonas Sjöberg, Håkan Hjalmarsson, Lennart Ljung, Pierre-Yves Glorennec, Marc Lavielle, Éric Moulines and Philippe Briand and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Bernard Delyon

56 papers receiving 3.1k citations

Hit Papers

Nonlinear black-box modeling in system identification: a ... 1995 2026 2005 2015 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Delyon France 18 1.6k 1.0k 413 396 273 59 3.3k
Mansour Eslami United States 15 1.9k 1.2× 1.4k 1.3× 126 0.3× 107 0.3× 270 1.0× 71 4.5k
Rong Chen United States 22 390 0.2× 1.1k 1.1× 729 1.8× 572 1.4× 175 0.6× 76 3.3k
James C. Spall United States 26 1.8k 1.1× 1.6k 1.6× 393 1.0× 185 0.5× 232 0.8× 172 5.1k
Dan Crisan United Kingdom 24 328 0.2× 1.0k 1.0× 276 0.7× 733 1.9× 95 0.3× 97 2.5k
Anders Lindquist Sweden 30 1.6k 1.0× 463 0.4× 106 0.3× 127 0.3× 238 0.9× 109 2.9k
Anatoli Juditsky France 23 1.7k 1.0× 2.4k 2.3× 827 2.0× 167 0.4× 555 2.0× 68 5.1k
Kurt S. Riedel United States 14 1.1k 0.7× 783 0.7× 315 0.8× 57 0.1× 216 0.8× 44 3.4k
J. Frédéric Bonnans France 26 995 0.6× 303 0.3× 163 0.4× 220 0.6× 260 1.0× 119 4.9k
Michèle Basseville France 33 3.4k 2.1× 1.2k 1.1× 546 1.3× 97 0.2× 499 1.8× 113 6.3k
Jean‐Baptiste Hiriart‐Urruty France 26 734 0.5× 460 0.4× 268 0.6× 103 0.3× 324 1.2× 79 5.3k

Countries citing papers authored by Bernard Delyon

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Delyon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Delyon

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Delyon. A scholar is included among the top collaborators of Bernard Delyon 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 Bernard Delyon. Bernard Delyon 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.
Zhang, Qinghua & Bernard Delyon. (2022). Boundedness of the Optimal State Estimator Rejecting Unknown Inputs. IEEE Transactions on Automatic Control. 68(4). 2430–2435. 4 indexed citations
2.
Bouthémy, Patrick, et al.. (2019). Robust Model Selection in 2D Parametric Motion Estimation. Journal of Mathematical Imaging and Vision. 61(7). 1022–1036. 2 indexed citations
3.
Cérou, Frédéric, Bernard Delyon, Arnaud Guyader, & Mathias Rousset. (2018). On the Asymptotic Normality of Adaptive Multilevel Splitting. arXiv (Cornell University). 12 indexed citations
4.
Portier, François & Bernard Delyon. (2012). Optimal transformation: A new approach for covering the central subspace. Journal of Multivariate Analysis. 115. 84–107. 8 indexed citations
5.
Delyon, Bernard, et al.. (2011). On a model selection problem from high-dimensional sample covariance matrices. Journal of Multivariate Analysis. 102(10). 1388–1398. 7 indexed citations
6.
Surdez, Didier, Bernard Delyon, Gautier Stoll, et al.. (2010). Localizing potentially active post-transcriptional regulations in the Ewing's sarcoma gene regulatory network. BMC Systems Biology. 4(1). 146–146. 4 indexed citations
7.
Saux, Jean‐Claude Le, et al.. (2009). Prediction of faecal contamination in shellfish production areas: Interest and limits of the salinity parameter. Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea). 2 indexed citations
8.
Delyon, Bernard & Ying Hu. (2006). Simulation of conditioned diffusion and application to parameter estimation. Stochastic Processes and their Applications. 116(11). 1660–1675. 34 indexed citations
9.
Fuchs, J.-J. & Bernard Delyon. (2005). When is adaptive better than optimal?. 3628–3629.
10.
Briand, Philippe, Bernard Delyon, Ying Hu, Étienne Pardoux, & Lucreţiu Stoica. (2003). Lp solutions of backward stochastic differential equations. Stochastic Processes and their Applications. 108(1). 109–129. 224 indexed citations
11.
Crouzeix, Michel & Bernard Delyon. (2003). Some estimates for analytic functions of strip or sectorial operators. Archiv der Mathematik. 81(5). 559–566. 19 indexed citations
12.
Briand, Philippe, Bernard Delyon, & Jean Mémin. (2002). On the robustness of backward stochastic differential equations. Stochastic Processes and their Applications. 97(2). 229–253. 42 indexed citations
13.
Delyon, Bernard, et al.. (2002). 2D fluid motion analysis from a single image. 184–189. 8 indexed citations
14.
Delyon, Bernard. (2001). A note on uniform observability. IEEE Transactions on Automatic Control. 46(8). 1326–1327. 17 indexed citations
15.
Delyon, Bernard & Anatoli Juditsky. (2000). On minimax identification of nonparametric autoregressive models. Probability Theory and Related Fields. 116(1). 21–39. 5 indexed citations
16.
Bimbot, Frédéric, et al.. (1999). Two-class signal segmentation for speech/music detection in audio tracks. 2801–2804. 2 indexed citations
17.
Delyon, Bernard & F. Delyon. (1999). Generalization of von Neumann's spectral sets and integral representation of operators. Bulletin de la Société mathématique de France. 127(1). 25–41. 41 indexed citations
18.
Delyon, Bernard & Anatoli Juditsky. (1997). On the Computation of Wavelet Coefficients. Journal of Approximation Theory. 88(1). 47–79. 17 indexed citations
19.
Delyon, Bernard & Anatoli Juditsky. (1996). On Minimax Wavelet Estimators. Applied and Computational Harmonic Analysis. 3(3). 215–228. 78 indexed citations
20.
Delyon, Bernard, Anatoli Juditsky, & Albert Benveniste. (1995). Accuracy analysis for wavelet approximations. IEEE Transactions on Neural Networks. 6(2). 332–348. 194 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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