Rémi Lafage

9 papers receiving 323 citations

Hit Papers

A Python surrogate modeling framework with derivatives2019202620212023201950100150200

Peers

Rémi Lafage
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 126
  • Aerospace Engineering 101
  • Statistics, Probability and Uncertainty 76
  • Global and Planetary Change 74
  • Computational Mechanics 51
Replace Sylvain Dubreuil with:
Sylvain Dubreuil France
Christophe Tribes Canada
Masahiro Kanazaki Japan
Wenbin Song China
Lawrence Green United States
John Jasa United States
Emiliano Iuliano Italy
M. Giselle Fernández-Godino United States
Youssef Diouane France
Renhe Shi China
Rémi Lafage relative to Sylvain Dubreuil France Sylvain Dubreuil's profile →
Citations per field
00.5×1.5×2.1×
Sylvain Dubreuil · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3
Disciplinary surrogates for gradient-based optimization of multidisciplinary systems
1
4 47
5 2
6
A Python surrogate modeling framework with derivativesbreakdown →
232
7 11
8 5
9 14
10 15

About Rémi Lafage

Rémi Lafage is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Global and Planetary Change, having authored 10 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Aircraft Design and Technologies (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (76 citations), Computational Theory and Mathematics (126 citations) and Aerospace Engineering (101 citations). Rémi Lafage has collaborated with scholars based in France, Germany and United States. Frequent 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. Their work appears in journals such as Advances in Engineering Software, Journal of Global Optimization and Aerospace.

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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