Rémi Lafage

584 total citations · 1 hit paper
10 papers, 328 citations indexed

About

Rémi Lafage is a scholar working on Computational Theory and Mathematics, Global and Planetary Change and Statistics, Probability and Uncertainty. According to data from OpenAlex, Rémi Lafage has authored 10 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 6 papers in Global and Planetary Change and 5 papers in Statistics, Probability and Uncertainty. Recurrent topics in Rémi Lafage's work include Advanced Aircraft Design and Technologies (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Probabilistic and Robust Engineering Design (5 papers). Rémi Lafage is often cited by papers focused on Advanced Aircraft Design and Technologies (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Probabilistic and Robust Engineering Design (5 papers). Rémi Lafage collaborates with scholars based in France, Germany and United States. Rémi Lafage's co-authors include Nathalie Bartoli, Joseph Morlier, Joaquim R. R. A. Martins, John T. Hwang, Mohamed Amine Bouhlel, Thierry Lefèbvre, Youssef Diouane, Sébastien Defoort, Yves Gourinat and Peter Schmollgruber and has published in prestigious journals such as Advances in Engineering Software, Journal of Global Optimization and Aerospace.

In The Last Decade

Rémi Lafage

9 papers receiving 323 citations

Hit Papers

A Python surrogate modeling framework with derivatives 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rémi Lafage France 6 126 101 76 74 51 10 328
Sylvain Dubreuil France 10 143 1.1× 47 0.5× 166 2.2× 68 0.9× 39 0.8× 29 298
Christophe Tribes Canada 13 148 1.2× 82 0.8× 54 0.7× 24 0.3× 70 1.4× 40 393
Renhe Shi China 13 192 1.5× 160 1.6× 106 1.4× 22 0.3× 49 1.0× 33 412
Masahiro Kanazaki Japan 12 175 1.4× 301 3.0× 107 1.4× 68 0.9× 175 3.4× 90 549
Wenbin Song China 9 80 0.6× 105 1.0× 51 0.7× 36 0.5× 115 2.3× 37 290
Youssef Diouane France 8 114 0.9× 28 0.3× 46 0.6× 27 0.4× 54 1.1× 36 284
Augustine R. Dovi United States 10 120 1.0× 85 0.8× 116 1.5× 67 0.9× 56 1.1× 16 362
Emiliano Iuliano Italy 11 88 0.7× 158 1.6× 91 1.2× 30 0.4× 139 2.7× 23 334
Julien Laurenceau France 5 220 1.7× 97 1.0× 196 2.6× 17 0.2× 108 2.1× 5 382

Countries citing papers authored by Rémi Lafage

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Lafage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Lafage

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

All Works

10 of 10 papers shown
1.
Bartoli, Nathalie, et al.. (2024). A Python Toolbox for Data-Driven Aerodynamic Modeling Using Sparse Gaussian Processes. Aerospace. 11(4). 260–260.
2.
Bartoli, Nathalie, et al.. (2024). System architecture optimization strategies: dealing with expensive hierarchical problems. Journal of Global Optimization. 91(4). 851–895. 1 indexed citations
3.
Dubreuil, Sylvain, et al.. (2023). Disciplinary surrogates for gradient-based optimization of multidisciplinary systems. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
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
5.
Lafage, Rémi. (2022). egobox, a Rust toolbox for efficient globaloptimization. The Journal of Open Source Software. 7(78). 4737–4737. 2 indexed citations
6.
Bouhlel, Mohamed Amine, John T. Hwang, Nathalie Bartoli, et al.. (2019). A Python surrogate modeling framework with derivatives. Advances in Engineering Software. 135. 102662–102662. 232 indexed citations breakdown →
7.
Grihon, Stéphane, Joël Brézillon, Nathalie Bartoli, et al.. (2019). Industrial Application of an Advanced Bi-level MDO Formulation to Aircraft Engine Pylon Optimization. AIAA Aviation 2019 Forum. 11 indexed citations
8.
Lafage, Rémi, Sébastien Defoort, & Thierry Lefèbvre. (2019). WhatsOpt: a web application for multidisciplinary design analysis and optimization. AIAA Aviation 2019 Forum. 5 indexed citations
9.
Grihon, Stéphane, Rémi Lafage, Charlie Vanaret, et al.. (2017). Towards the Industrialization of New MDO Methodologies and Tools for Aircraft Design. 14 indexed citations
10.
Schmollgruber, Peter, Nathalie Bartoli, Sébastien Defoort, et al.. (2017). Use of a Certification Constraints Module for Aircraft Design Activities. 15 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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