Christine Largouët

838 total citations
24 papers, 179 citations indexed

About

Christine Largouët is a scholar working on Small Animals, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Christine Largouët has authored 24 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Small Animals, 7 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Christine Largouët's work include Animal Behavior and Welfare Studies (7 papers), Effects of Environmental Stressors on Livestock (4 papers) and Model-Driven Software Engineering Techniques (3 papers). Christine Largouët is often cited by papers focused on Animal Behavior and Welfare Studies (7 papers), Effects of Environmental Stressors on Livestock (4 papers) and Model-Driven Software Engineering Techniques (3 papers). Christine Largouët collaborates with scholars based in France, New Caledonia and Australia. Christine Largouët's co-authors include Jean-Yves Dourmad, Marie-Odile Cordier, Charlotte Gaillard, Alban Grastien, Serge Andréfouët, L. Cloutier, Frédéric Guay, Yulong Zhao, Guy Fontenelle and Céline Tallet and has published in prestigious journals such as Scientific Reports, Journal of Animal Science and Ecological Modelling.

In The Last Decade

Christine Largouët

21 papers receiving 166 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Largouët France 9 62 52 36 27 27 24 179
Li Tan United States 9 31 0.5× 45 0.9× 28 0.8× 27 1.0× 44 1.6× 27 306
Haibo Pu China 10 26 0.4× 34 0.7× 26 0.7× 29 1.1× 1 0.0× 36 250
César Beltrán Peru 9 21 0.3× 33 0.6× 10 0.3× 74 2.7× 3 0.1× 36 273
Sari Kajava Finland 6 68 1.1× 97 1.9× 15 0.4× 56 2.1× 1 0.0× 13 341
Ángel Pinto Colombia 5 68 1.1× 67 1.3× 19 0.5× 18 0.7× 1 0.0× 27 246
K. de Koning Netherlands 7 38 0.6× 41 0.8× 8 0.2× 49 1.8× 2 0.1× 20 163
Yuan Zhao China 8 8 0.1× 35 0.7× 12 0.3× 11 0.4× 2 0.1× 43 345
Jaime Alonso Spain 10 33 0.5× 92 1.8× 11 0.3× 51 1.9× 19 378
Matthieu Vignes New Zealand 9 9 0.1× 14 0.3× 8 0.2× 30 1.1× 5 0.2× 33 245
Jinglei Tang China 10 50 0.8× 27 0.5× 93 2.6× 27 1.0× 3 0.1× 32 507

Countries citing papers authored by Christine Largouët

Since Specialization
Citations

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

Fields of papers citing papers by Christine Largouët

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Largouët

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Largouët. A scholar is included among the top collaborators of Christine Largouët 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 Christine Largouët. Christine Largouët 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.
Renaudeau, David, et al.. (2025). Data Paper: HotPig, a behavioural dataset of pigs under heat stress. SPIRE - Sciences Po Institutional REpository. 5. 100112–100112.
2.
Galárraga, Luis, et al.. (2025). Impact of Explanation Techniques and Representations on Users' Comprehension and Confidence in Explainable AI. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–28. 1 indexed citations
3.
Largouët, Christine, et al.. (2023). Estimation of gestating sows’ welfare status based on machine learning methods and behavioral data. Scientific Reports. 13(1). 21042–21042. 4 indexed citations
4.
Largouët, Christine, et al.. (2023). Prediction of the daily nutrient requirements of gestating sows based on sensor data and machine-learning algorithms. Journal of Animal Science. 101. 4 indexed citations
5.
Galárraga, Luis, et al.. (2022). When Should We Use Linear Explanations?. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 355–364. 2 indexed citations
6.
Largouët, Christine, et al.. (2022). TAG: Learning Timed Automata from Logs. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3949–3958. 3 indexed citations
7.
Dourmad, Jean-Yves, et al.. (2022). Alimentation de précision des truies gestantes : prise en compte de la santé, du comportement et de l’environnement. INRAE Productions Animales. 34(4). 293–304.
8.
Simon, Mathieu, et al.. (2022). Evaluation of the physical activity of a group of gestating sows using an artificial neural network. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
9.
Largouët, Christine, et al.. (2022). Precision feeding of lactating sows: implementation and evaluation of a decision support system in farm conditions. Journal of Animal Science. 100(9). 11 indexed citations
10.
Largouët, Christine, et al.. (2022). Prediction of litter performance in lactating sows using machine learning, for precision livestock farming. Computers and Electronics in Agriculture. 196. 106876–106876. 21 indexed citations
11.
Largouët, Christine, et al.. (2021). Online forecasting of daily feed intake in lactating sows supported by offline time-series clustering, for precision livestock farming. Computers and Electronics in Agriculture. 188. 106329–106329. 13 indexed citations
12.
Zhao, Yulong, Christine Largouët, & Marie-Odile Cordier. (2011). EcoMata, un logiciel d’aide à la décision pour améliorer la gestion des écosystèmes. Ingénierie des systèmes d information. 16(3). 85–111. 3 indexed citations
13.
Largouët, Christine, Marie-Odile Cordier, Yves‐Marie Bozec, Yulong Zhao, & Guy Fontenelle. (2011). Use of timed automata and model-checking to explore scenarios on ecosystem models. Environmental Modelling & Software. 30. 123–138. 12 indexed citations
14.
Largouët, Christine & Marie-Odile Cordier. (2010). Patrons de scénarios pour l'exploration qualitative d'un écosystème. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Largouët, Christine, Marie-Odile Cordier, & Guy Fontenelle. (2009). Scenario templates to analyse qualitative ecosystem models. SPIRE - Sciences Po Institutional REpository. 2129–2135. 1 indexed citations
16.
Andréfouët, Serge, et al.. (2007). Modelling coral reef habitat trajectories: Evaluation of an integrated timed automata and remote sensing approach. Ecological Modelling. 205(1-2). 59–80. 18 indexed citations
17.
Grastien, Alban, Marie-Odile Cordier, & Christine Largouët. (2005). Incremental Diagnosis of Discrete-Event Systems. SPIRE - Sciences Po Institutional REpository. 1564–1565. 18 indexed citations
18.
Cordier, Marie-Odile, Alban Grastien, Christine Largouët, & Yannick Pencolé. (2003). Efficient Trajectories Computing Exploiting Inversibility Properties. ANU Open Research (Australian National University). 4 indexed citations
19.
Largouët, Christine & Marie-Odile Cordier. (2001). Improving the landcover classification using domain knowledge. 14(1). 35–43. 8 indexed citations
20.
Largouët, Christine & Marie-Odile Cordier. (2000). Timed automata model to improve the classification of a sequence of images. 156–160. 6 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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Rankless by CCL
2026