Laboratoire de mathématiques appliquées de Compiègne

4.4k citations
409 papers ·

Impact in

Papers in

Laboratoire de mathématiques appliquées de Compiègne

379 papers receiving 4.4k citations

Peers

Laboratoire de mathématiques appliquées de Compiègne
Comparison fields: 5 of 130
  • Statistics and Probability 1.2k
  • Mathematical Physics 1k
  • Safety, Risk, Reliability and Quality 464
  • Applied Mathematics 369
  • Computational Mechanics 389
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Laboratoire de mathématiques appliquées de Compiègne relative to Laboratoire de Statistique Théorique et Appliquée France Laboratoire de Statistique Théorique et Appliquée's profile →
Citations per field
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Laboratoire de Statistique Théorique et Appliquée · 1×
Citations per year

Countries citing scholars working at Laboratoire de mathématiques appliquées de Compiègne

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Laboratoire de mathématiques appliquées de Compiègne. 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 papers produced at Laboratoire de mathématiques appliquées de Compiègne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laboratoire de mathématiques appliquées de Compiègne more than expected).

Fields of papers published by authors at Laboratoire de mathématiques appliquées de Compiègne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Laboratoire de mathématiques appliquées de Compiègne at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Laboratoire de mathématiques appliquées de Compiègne at the time of their publication.

About Laboratoire de mathématiques appliquées de Compiègne

In recent decades, authors affiliated with Laboratoire de mathématiques appliquées de Compiègne have published 409 papers, which have received a total of 4.4k indexed citations . Scholars at this organization have produced 148 papers in Statistics and Probability, 88 papers in Mathematical Physics, 50 papers in Applied Mathematics, 30 papers in Safety, Risk, Reliability and Quality and 11 papers in Numerical Analysis on the topics of Probability and Statistical Research (99 papers), Statistical Methods and Inference (74 papers), Numerical methods in inverse problems (64 papers), Advanced Statistical Methods and Models (37 papers), Advanced Numerical Methods in Computational Mathematics (36 papers), Reliability and Maintenance Optimization (29 papers), Differential Equations and Boundary Problems (19 papers) and Nonlinear Partial Differential Equations (18 papers). Their work is cited by papers focused on Statistics and Probability (1.2k citations), Mathematical Physics (1k citations), Safety, Risk, Reliability and Quality (464 citations), Applied Mathematics (369 citations) and Computational Mechanics (389 citations). Authors at Laboratoire de mathématiques appliquées de Compiègne collaborate with scholars in France, Saudi Arabia and Spain and have published in prestigious journals including Inverse Problems, Comptes Rendus Mathématique, ESAIM Mathematical Modelling and Numerical Analysis, Journal of Computational Physics and IMA Journal of Numerical Analysis. Some of Laboratoire de mathématiques appliquées de Compiègne's most productive authors include Salim Bouzebda, Nikolaos Limnios, Abdellatif El Badia, Frédérique Le Louër, Vlad Ștefan Barbu, Faker Ben Belgacem, Tuong Ha-Duong, Marc Dambrine, Djalil Kateb and Corinne Lucet.

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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