Agnès Lagnoux

25 papers and 481 indexed citations i.

About

Agnès Lagnoux is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Agnès Lagnoux has authored 25 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 9 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Agnès Lagnoux’s work include Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Bayesian Methods and Mixture Models (5 papers). Agnès Lagnoux is often cited by papers focused on Probabilistic and Robust Engineering Design (10 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Bayesian Methods and Mixture Models (5 papers). Agnès Lagnoux collaborates with scholars based in France, Uruguay and United States. Agnès Lagnoux's co-authors include Thierry Klein, Alexandre Janon, Fabrice Gamboa, Clémentine Prieur, Maëlle Nodet, François Bachoc, Christophe Prieur, Jean‐Claude Fort, Loïc Brevault and Mathieu Balesdent and has published in prestigious journals such as Bioinformatics, Reliability Engineering & System Safety and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Co-authorship network of co-authors of Agnès Lagnoux i

Fields of papers citing papers by Agnès Lagnoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Agnès Lagnoux

Since Specialization
Citations

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

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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2025