Youssef Diouane

544 total citations
36 papers, 284 citations indexed

About

Youssef Diouane is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Youssef Diouane has authored 36 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 15 papers in Artificial Intelligence and 9 papers in Numerical Analysis. Recurrent topics in Youssef Diouane's work include Advanced Multi-Objective Optimization Algorithms (20 papers), Advanced Optimization Algorithms Research (9 papers) and Gaussian Processes and Bayesian Inference (7 papers). Youssef Diouane is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (20 papers), Advanced Optimization Algorithms Research (9 papers) and Gaussian Processes and Bayesian Inference (7 papers). Youssef Diouane collaborates with scholars based in France, Canada and Czechia. Youssef Diouane's co-authors include El Houcine Bergou, Nathalie Bartoli, Vyacheslav Kungurtsev, Joseph Morlier, Serge Gratton, L. N. Vicente, Thierry Lefèbvre, Rémi Lafage, John T. Hwang and Joaquim R. R. A. Martins and has published in prestigious journals such as AIAA Journal, IEEE Transactions on Antennas and Propagation and Neurocomputing.

In The Last Decade

Youssef Diouane

33 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youssef Diouane France 8 114 76 54 49 46 36 284
Simon Mak United States 10 97 0.9× 104 1.4× 44 0.8× 19 0.4× 81 1.8× 31 328
Patricia Hough United States 8 67 0.6× 59 0.8× 25 0.5× 52 1.1× 15 0.3× 12 245
Renhe Shi China 13 192 1.7× 90 1.2× 49 0.9× 8 0.2× 106 2.3× 33 412
Agnès Lagnoux France 10 79 0.7× 42 0.6× 12 0.2× 15 0.3× 313 6.8× 21 485
Dragan Jukić Croatia 14 34 0.3× 16 0.2× 26 0.5× 40 0.8× 88 1.9× 35 399
Alessandro Alla Italy 9 51 0.4× 57 0.8× 156 2.9× 70 1.4× 107 2.3× 27 469
Patrick R. Conrad United States 8 52 0.5× 94 1.2× 28 0.5× 7 0.1× 152 3.3× 10 284
Rémi Lafage France 6 126 1.1× 39 0.5× 51 0.9× 4 0.1× 76 1.7× 10 328
Alex Gorodetsky United States 11 86 0.8× 58 0.8× 25 0.5× 6 0.1× 180 3.9× 56 385
Ruixue Liu China 9 24 0.2× 72 0.9× 13 0.2× 54 1.1× 79 1.7× 24 435

Countries citing papers authored by Youssef Diouane

Since Specialization
Citations

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

Fields of papers citing papers by Youssef Diouane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youssef Diouane

This figure shows the co-authorship network connecting the top 25 collaborators of Youssef Diouane. A scholar is included among the top collaborators of Youssef Diouane 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 Youssef Diouane. Youssef Diouane 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.
Diouane, Youssef, et al.. (2025). Multi-Fidelity Constrained Bayesian Optimization with Application to Aircraft Wing Design. PolyPublie (École Polytechnique de Montréal).
2.
Diouane, Youssef, et al.. (2024). Inexact direct-search methods for bilevel optimization problems. Computational Optimization and Applications. 88(2). 469–490.
3.
Diouane, Youssef, et al.. (2024). Bayesian optimization with hidden constraints for aircraft design. Structural and Multidisciplinary Optimization. 67(7). 4 indexed citations
4.
Diouane, Youssef, et al.. (2024). A Stochastic iteratively regularized Gauss–Newton method. Inverse Problems. 41(1). 15005–15005.
5.
Diouane, Youssef, et al.. (2024). High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. AIAA Journal. 63(1). 162–173. 1 indexed citations
6.
Lafage, Rémi, Nathalie Bartoli, Youssef Diouane, et al.. (2023). SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Advances in Engineering Software. 188. 103571–103571. 47 indexed citations
7.
Diouane, Youssef, et al.. (2023). A mixed-categorical correlation kernel for Gaussian process. Neurocomputing. 550. 126472–126472. 6 indexed citations
8.
Gürol, Selime, et al.. (2023). Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numerical Linear Algebra with Applications. 31(1). 4 indexed citations
9.
Bartoli, Nathalie, et al.. (2022). Multidisciplinary design optimization with mixed categorical variables for aircraft design. AIAA SCITECH 2022 Forum. 7 indexed citations
10.
Bergou, El Houcine, et al.. (2022). A Subsampling Line-Search Method with Second-Order Results. arXiv (Cornell University). 4(4). 403–425. 6 indexed citations
11.
Diouane, Youssef, et al.. (2022). Regularized Infill Criteria for Multi-objective Bayesian Optimization with Application to Aircraft Design. AIAA AVIATION 2022 Forum. 5 indexed citations
12.
Diouane, Youssef, et al.. (2022). An outer approximation bi-level framework for mixed categorical structural optimization problems. Structural and Multidisciplinary Optimization. 65(8). 1 indexed citations
13.
Bergou, El Houcine, et al.. (2021). A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM Journal on Scientific Computing. 43(5). S743–S766. 2 indexed citations
14.
Diouane, Youssef, et al.. (2020). Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optimization Letters. 15(4). 1215–1227. 1 indexed citations
15.
Bergou, El Houcine, Youssef Diouane, & Vyacheslav Kungurtsev. (2020). Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems. Journal of Optimization Theory and Applications. 185(3). 927–944. 52 indexed citations
16.
Bartoli, Nathalie, et al.. (2020). Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design. Aerospace Science and Technology. 105. 105980–105980. 42 indexed citations
17.
Bergou, El Houcine, et al.. (2018). A stochastic Levenberg-Marquardt method using random models with complexity results and application to data assimilation. arXiv (Cornell University). 1 indexed citations
18.
Bergou, El Houcine, Youssef Diouane, & Serge Gratton. (2018). A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. Journal of Optimization Theory and Applications. 178(3). 885–913. 6 indexed citations
19.
Bergou, El Houcine, et al.. (2017). On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Computational Optimization and Applications. 68(3). 533–554. 11 indexed citations
20.
Diouane, Youssef, Serge Gratton, & L. N. Vicente. (2012). GLOBALLY CONVERGENT EVOLUTION STRATEGIES AND CMA-ES. 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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