Sébastien Picault

759 total citations
25 papers, 227 citations indexed

About

Sébastien Picault is a scholar working on Agronomy and Crop Science, Microbiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Sébastien Picault has authored 25 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 6 papers in Microbiology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Sébastien Picault's work include Animal Disease Management and Epidemiology (9 papers), Microbial infections and disease research (6 papers) and Business Process Modeling and Analysis (4 papers). Sébastien Picault is often cited by papers focused on Animal Disease Management and Epidemiology (9 papers), Microbial infections and disease research (6 papers) and Business Process Modeling and Analysis (4 papers). Sébastien Picault collaborates with scholars based in France, Morocco and Denmark. Sébastien Picault's co-authors include Philippe Mathieu, Pauline Ezanno, Gaël Beaunée, Facundo Muñoz, Hervé Monod, Jean‐François Guégan, Raphaël Duboz, Xavier Bailly, Philippe Mathieu and Sandie Arnoux and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the Royal Society B Biological Sciences and PLoS Computational Biology.

In The Last Decade

Sébastien Picault

21 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sébastien Picault France 8 52 31 30 26 23 25 227
Jessica Enright United Kingdom 10 48 0.9× 65 2.1× 11 0.4× 19 0.7× 27 1.2× 29 343
Xinxin Zhao China 13 38 0.7× 53 1.7× 24 0.8× 33 1.3× 11 0.5× 55 612
Zuraida Abal Abas Malaysia 13 97 1.9× 59 1.9× 3 0.1× 26 1.0× 8 0.3× 83 470
Miguel Revilla Spain 8 63 1.2× 21 0.7× 23 0.8× 20 0.8× 20 0.9× 17 284
Pieter Bonte Belgium 12 114 2.2× 72 2.3× 7 0.2× 21 0.8× 19 0.8× 50 413
Xinyue Shen China 11 32 0.6× 54 1.7× 40 1.3× 14 0.5× 10 0.4× 33 308
Phillip Schumm United States 10 21 0.4× 20 0.6× 5 0.2× 8 0.3× 16 0.7× 16 260
Avtar Singh India 10 84 1.6× 20 0.6× 9 0.3× 116 4.5× 12 0.5× 66 388
Andrea Ponti Italy 9 22 0.4× 25 0.8× 13 0.4× 44 1.7× 12 0.5× 30 210

Countries citing papers authored by Sébastien Picault

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Picault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Picault

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Picault. A scholar is included among the top collaborators of Sébastien Picault 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 Sébastien Picault. Sébastien Picault 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
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Picault, Sébastien, et al.. (2024). Leveraging artificial intelligence and software engineering methods in epidemiology for the co-creation of decision-support tools based on mechanistic models. Preventive Veterinary Medicine. 228. 106233–106233. 1 indexed citations
5.
Assié, Sébastien, et al.. (2024). Harnessing uncertainty: A deep mechanistic approach for cautious diagnostic and forecast of Bovine Respiratory Disease. Preventive Veterinary Medicine. 233. 106354–106354.
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Picault, Sébastien, et al.. (2023). Modeling the effects of farming practices on bovine respiratory disease in a multi-batch cattle fattening farm. Preventive Veterinary Medicine. 219. 106009–106009. 6 indexed citations
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Picault, Sébastien, et al.. (2022). Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle. Veterinary Research. 53(1). 77–77. 7 indexed citations
8.
Ezanno, Pauline, Sébastien Picault, Gaël Beaunée, et al.. (2022). The African swine fever modelling challenge: Model comparison and lessons learnt. Epidemics. 40. 100615–100615. 11 indexed citations
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Picault, Sébastien, et al.. (2022). The African swine fever modelling challenge: Objectives, model description and synthetic data generation. Epidemics. 40. 100616–100616. 5 indexed citations
10.
Maurel, Véronique Bellon, Évelyne Lutton, Pierre Bisquert, et al.. (2022). Digital revolution for the agroecological transition of food systems: A responsible research and innovation perspective. Agricultural Systems. 203. 103524–103524. 38 indexed citations
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Ezanno, Pauline, Sébastien Picault, Gaël Beaunée, et al.. (2021). Research perspectives on animal health in the era of artificial intelligence. Veterinary Research. 52(1). 40–40. 58 indexed citations
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Ezanno, Pauline, et al.. (2020). Intelligence artificielle et santé animale. INRAE Productions Animales. 33(2). 95–108. 3 indexed citations
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Picault, Sébastien, et al.. (2019). EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology. PLoS Computational Biology. 15(9). e1007342–e1007342. 21 indexed citations
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Picault, Sébastien, et al.. (2018). Modélisation multi-agents pour la gestion individuelle et collective d'une maladie infectieuse (présentation courte).. 191–200. 1 indexed citations
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Touya, Guillaume, et al.. (2017). DIOGEN, a multi-level oriented model for cartographic generalization. International Journal of Cartography. 3(1). 121–133. 5 indexed citations
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Mathieu, Philippe, et al.. (2016). Simuler le trafic routier à partir de données réelles. Vers un outil d’aide à la décision. Revue d intelligence artificielle. 30(3). 329–352. 1 indexed citations
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Mathieu, Philippe, et al.. (2016). A Versatile Multi-Agent Traffic Simulator Framework Based on Real Data. International Journal of Artificial Intelligence Tools. 25(1). 1660006–1660006. 1 indexed citations
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Touya, Guillaume, et al.. (2015). Patterns multi-niveaux pour les SMA (présentation courte).. 19–28.
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Mathieu, Philippe, et al.. (2010). Everything can be agent. Adaptive Agents and Multi-Agents Systems. 1547–1548. 16 indexed citations
20.
Mathieu, Philippe, et al.. (2010). Everything can be Agent! (Extended Abstract). 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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