Sébastien Picault
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
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- Animal Disease Management and Epidemiology 9
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- Microbial infections and disease research 6
- Co-authors
- Philippe Mathieu (5 shared papers)Pauline Ezanno (12 shared papers)Gaël Beaunée (3 shared papers)Facundo Muñoz (2 shared papers)Jean‐François Guégan (2 shared papers)Hervé Monod (2 shared papers)Raphaël Duboz (1 shared paper)Xavier Bailly (1 shared paper)
In The Last Decade
Sébastien Picault
21 papers receiving 216 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 9
- Agronomy and Crop Science 52
- Microbiology 30
- Transportation 17
- Small Animals 18
Countries citing papers authored by Sébastien Picault
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
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-authors
The 25 scholars most cited alongside Sébastien Picault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 58 | |
| 2 | 2022 | 38 | |
| 3 | 2011 | 25 | |
| 4 | 2019 | 21 | |
| 5 | 2018 | 20 | |
| 6 | 2010 | 16 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2017 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 2 | |
| 15 | Modélisation multi-agents pour la gestion individuelle et collective d'une maladie infectieuse (présentation courte). | 2018 | 1 |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2016 | 1 |
About Sébastien Picault
Sébastien Picault is a scholar working on Agronomy and Crop Science, Microbiology, Ecology, Evolution, Behavior and Systematics, Management Information Systems and Artificial Intelligence, having authored 25 papers that have together received 227 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), Microbial infections and disease research (6 papers), Vector-Borne Animal Diseases (4 papers), Business Process Modeling and Analysis (4 papers), Data Management and Algorithms (3 papers), Multi-Agent Systems and Negotiation (3 papers), Simulation Techniques and Applications (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Health Informatics (9 citations), Agronomy and Crop Science (52 citations), Microbiology (30 citations), Transportation (17 citations) and Small Animals (18 citations). Sébastien Picault has collaborated with scholars based in France, Morocco and Austria. Frequent co-authors include Philippe Mathieu, Pauline Ezanno, Gaël Beaunée, Facundo Muñoz, Jean‐François Guégan, Hervé Monod, Raphaël Duboz, Xavier Bailly, Philippe Mathieu and Sandie Arnoux. Their work appears in journals such as Veterinary Research, Preventive Veterinary Medicine, Epidemics, Proceedings of the Royal Society B Biological Sciences and Autonomous Agents and Multi-Agent Systems.
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.