Pierre Barbillon

764 total citations
38 papers, 460 citations indexed

About

Pierre Barbillon is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Pierre Barbillon has authored 38 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Statistical and Nonlinear Physics and 7 papers in Artificial Intelligence. Recurrent topics in Pierre Barbillon's work include Advanced Multi-Objective Optimization Algorithms (8 papers), Complex Network Analysis Techniques (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Pierre Barbillon is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Complex Network Analysis Techniques (7 papers) and Probabilistic and Robust Engineering Design (6 papers). Pierre Barbillon collaborates with scholars based in France, Netherlands and United States. Pierre Barbillon's co-authors include Sophie Donnet, François Mariotti, Marion Tharrey, Gary E. Fraser, Andrew Mashchak, Maud Delattre, Avner Bar‐Hen, Emmanuel Lazega, Jean‐Michel Marin and Mathieu Thomas and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Experimental Botany.

In The Last Decade

Pierre Barbillon

35 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Barbillon France 13 86 81 68 53 49 38 460
Arnab Maity United States 19 60 0.7× 35 0.4× 25 0.4× 12 0.2× 38 0.8× 70 1.2k
Chiara Mocenni Italy 14 58 0.7× 15 0.2× 112 1.6× 22 0.4× 5 0.1× 65 593
M. J. R. Healy United Kingdom 8 98 1.1× 138 1.7× 7 0.1× 26 0.5× 92 1.9× 15 975
Juho Piironen Finland 6 12 0.1× 12 0.1× 8 0.1× 45 0.8× 32 0.7× 9 543
Nathalie Vialaneix France 14 6 0.1× 98 1.2× 16 0.2× 25 0.5× 8 0.2× 43 656
Zhe Fei United States 13 21 0.2× 13 0.2× 37 0.5× 86 1.6× 9 0.2× 39 492
Shirley Hitchcock United Kingdom 6 28 0.3× 28 0.3× 5 0.1× 28 0.5× 27 0.6× 10 650
B. J. N. Blight United Kingdom 10 30 0.3× 18 0.2× 4 0.1× 45 0.8× 37 0.8× 19 435
June M. Juritz South Africa 14 30 0.3× 30 0.4× 2 0.0× 102 1.9× 37 0.8× 28 659
Seung‐Ho Kang South Korea 15 26 0.3× 21 0.3× 2 0.0× 26 0.5× 15 0.3× 63 627

Countries citing papers authored by Pierre Barbillon

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Barbillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Barbillon

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Barbillon. A scholar is included among the top collaborators of Pierre Barbillon 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 Pierre Barbillon. Pierre Barbillon 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.
Roturier, Samuel, et al.. (2024). Assessing the restoration and the dispersal of reindeer lichen after forest fire in northern Sweden: Results after eleven growing seasons. Ecological Engineering. 209. 107415–107415. 1 indexed citations
2.
Khodorova, Nadezda, Douglas N. Rutledge, Jean‐Charles Martin, et al.. (2023). Pipecolate and Taurine are Rat Urinary Biomarkers for Lysine and Threonine Deficiencies. Journal of Nutrition. 153(9). 2571–2584. 1 indexed citations
3.
Enjalbert, Jérôme, et al.. (2023). Efficient Bayesian automatic calibration of a functional–structural wheat model using an adaptive design and a metamodelling approach. Journal of Experimental Botany. 74(21). 6722–6734.
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5.
Goldringer, Isabelle, et al.. (2022). Sensitivity analysis of a crop metapopulation model. Ecological Modelling. 475. 110174–110174.
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Chaumontet, Catherine, François Blachier, Pierre Barbillon, et al.. (2020). Perinatal exposure of rats to a maternal diet with varying protein quantity and quality affects the risk of overweight in female adult offspring. The Journal of Nutritional Biochemistry. 79. 108333–108333. 6 indexed citations
8.
Bar‐Hen, Avner, Pierre Barbillon, & Sophie Donnet. (2020). Block models for generalized multipartite networks: Applications in ecology and ethnobiology. Statistical Modelling. 22(4). 273–296. 8 indexed citations
9.
Barbillon, Pierre, et al.. (2019). Epidemiologic network inference. Statistics and Computing. 30(1). 61–75. 3 indexed citations
10.
Chaumontet, Catherine, Francois F. Blachier, Pierre Barbillon, et al.. (2019). Maternal High-Protein Diet during Pregnancy Modifies Rat Offspring Body Weight and Insulin Signalling but Not Macronutrient Preference in Adulthood. Nutrients. 11(1). 96–96. 17 indexed citations
11.
12.
Tharrey, Marion, François Mariotti, Andrew Mashchak, et al.. (2018). Patterns of plant and animal protein intake are strongly associated with cardiovascular mortality: the Adventist Health Study-2 cohort. International Journal of Epidemiology. 47(5). 1603–1612. 97 indexed citations
13.
14.
Barbillon, Pierre, et al.. (2017). Water flow probabilistic predictions based on a rainfall–runoff simulator: a two-regime model with variable selection. Journal of Agricultural Biological and Environmental Statistics. 22(2). 194–219. 1 indexed citations
15.
Lazega, Emmanuel, Avner Bar‐Hen, Pierre Barbillon, & Sophie Donnet. (2016). Effects of competition on collective learning in advice networks. Social Networks. 47. 1–14. 19 indexed citations
16.
Marsset‐Baglieri, Agnès, Gilles Fromentin, Françoise Nau, et al.. (2015). The satiating effects of eggs or cottage cheese are similar in healthy subjects despite differences in postprandial kinetics. Appetite. 90. 136–143. 9 indexed citations
17.
Oozeer, Raish, Pierre Barbillon, Tristan Mary‐Huard, et al.. (2015). High-Protein Exposure during Gestation or Lactation or after Weaning Has a Period-Specific Signature on Rat Pup Weight, Adiposity, Food Intake, and Glucose Homeostasis up to 6 Weeks of Age. Journal of Nutrition. 146(1). 21–29. 18 indexed citations
18.
Barbillon, Pierre, et al.. (2015). Illuviation intensity and land use change: Quantification via micromorphological analysis. Geoderma. 266. 46–57. 15 indexed citations
19.
Barbillon, Pierre, Mathieu Thomas, Isabelle Goldringer, & Stéphane Robin. (2014). Network impact on persistence in a finite population dynamic diffusion model: Application to an emergent seed exchange network. Journal of Theoretical Biology. 365. 365–376. 10 indexed citations
20.
Barbillon, Pierre, et al.. (2011). Modèles réduits à partir d’expériences numériques. French digital mathematics library (Numdam). 152(1). 89–102. 1 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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