Cédric Baudrit

1.0k total citations
26 papers, 622 citations indexed

About

Cédric Baudrit is a scholar working on Artificial Intelligence, Management Science and Operations Research and Civil and Structural Engineering. According to data from OpenAlex, Cédric Baudrit has authored 26 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 6 papers in Civil and Structural Engineering. Recurrent topics in Cédric Baudrit's work include Multi-Criteria Decision Making (9 papers), Bayesian Modeling and Causal Inference (7 papers) and BIM and Construction Integration (4 papers). Cédric Baudrit is often cited by papers focused on Multi-Criteria Decision Making (9 papers), Bayesian Modeling and Causal Inference (7 papers) and BIM and Construction Integration (4 papers). Cédric Baudrit collaborates with scholars based in France, Spain and United States. Cédric Baudrit's co-authors include Didier Dubois, Dominique Guyonnet, Damien Dubois, Inés Couso, Nathalie Perrot, Didier Dubois, Jérémy Rohmer, Franck Taillandier, Denys Breysse and Philippe Abbal and has published in prestigious journals such as PLoS ONE, Construction and Building Materials and Information Sciences.

In The Last Decade

Cédric Baudrit

24 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cédric Baudrit France 10 236 232 161 113 85 26 622
Weihong Dong United States 6 88 0.4× 307 1.3× 172 1.1× 168 1.5× 137 1.6× 15 626
Weimin Dong United States 11 252 1.1× 173 0.7× 89 0.6× 84 0.7× 245 2.9× 28 646
Werner G. Müller Austria 17 198 0.8× 295 1.3× 98 0.6× 144 1.3× 42 0.5× 51 965
Reinhard Karl Wolfgang Viertl Austria 13 156 0.7× 371 1.6× 232 1.4× 431 3.8× 32 0.4× 50 654
Francisco J. Prieto Spain 16 98 0.4× 90 0.4× 155 1.0× 209 1.8× 26 0.3× 27 889
W.C.M. van Beers Netherlands 10 225 1.0× 410 1.8× 112 0.7× 27 0.2× 54 0.6× 19 900
K.V. Diegert United States 7 318 1.3× 107 0.5× 35 0.2× 30 0.3× 110 1.3× 11 618
Milan Stehlík Austria 17 142 0.6× 204 0.9× 160 1.0× 243 2.2× 15 0.2× 101 821
Brian M. Rutherford United States 8 345 1.5× 113 0.5× 40 0.2× 19 0.2× 137 1.6× 19 690
Jingwen Song China 18 796 3.4× 160 0.7× 72 0.4× 73 0.6× 371 4.4× 40 1.2k

Countries citing papers authored by Cédric Baudrit

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Baudrit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Baudrit

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Baudrit. A scholar is included among the top collaborators of Cédric Baudrit 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 Cédric Baudrit. Cédric Baudrit 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.
Baudrit, Cédric, et al.. (2025). Artificial Intelligence and Non-Destructive Testing Data to Assess Concrete Sustainability of Civil Engineering Infrastructures. Materials. 18(4). 826–826. 4 indexed citations
2.
Baudrit, Cédric, et al.. (2024). Diagnosis based on sensory data: Application to wheat grading quality. Innovative Food Science & Emerging Technologies. 96. 103771–103771. 4 indexed citations
3.
Baudrit, Cédric, et al.. (2024). Predicting compressed earth blocks compressive strength by means of machine learning models. Construction and Building Materials. 447. 138135–138135. 2 indexed citations
4.
Baudrit, Cédric, et al.. (2022). Use of Conceptual Graph-based Reasoning and Modeling to Support the Forensic Analysis of Bridges Failure. American journal of civil engineering and architecture. 10(4). 157–168. 2 indexed citations
5.
Taillandier, Franck, et al.. (2021). An interface between natural language and abstract argumentation frameworks for real-time debate analysis. Decision Support Systems. 154. 113694–113694.
6.
Taillandier, Franck, et al.. (2021). Imprecise abstract argumentation as a support for forensic engineering. Engineering Construction & Architectural Management. 29(1). 523–550.
7.
Breysse, Denys, Franck Taillandier, & Cédric Baudrit. (2018). Knowledge Model for Forensics in Civil Engineering. Report. 112. S25–33. 1 indexed citations
8.
Baudrit, Cédric, Sébastien Destercke, & Pierre-Henri Wuillemin. (2016). Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. Information Sciences. 367-368. 630–647. 4 indexed citations
9.
Baudrit, Cédric, Nathalie Perrot, Philippe Abbal, et al.. (2015). A probabilistic graphical model for describing the grape berry maturity. Computers and Electronics in Agriculture. 118. 124–135. 7 indexed citations
10.
Perrot, Nathalie, Cédric Baudrit, Philippe Abbal, et al.. (2015). A Decision Support System Coupling Fuzzy Logic and Probabilistic Graphical Approaches for the Agri-Food Industry: Prediction of Grape Berry Maturity. PLoS ONE. 10(7). e0134373–e0134373. 15 indexed citations
11.
Abbal, Philippe, Jean‐Marie Sablayrolles, Éric Matzner-Løber, et al.. (2015). A Decision Support System for Vine Growers Based on a Bayesian Network. Journal of Agricultural Biological and Environmental Statistics. 21(1). 131–151. 8 indexed citations
12.
Lutton, Évelyne, et al.. (2013). Cooperative Coevolution for Agrifood Process Modeling.. 247–287. 1 indexed citations
13.
Foucquier, Julie, et al.. (2011). Modelling the formation of fat droplet interface during homogenisation in order to describe the texture. Procedia Food Science. 1. 706–712. 1 indexed citations
14.
Rohmer, Jérémy & Cédric Baudrit. (2010). The use of the possibility theory to investigate the epistemic uncertainties within scenario-based earthquake risk assessments. Natural Hazards. 56(3). 613–632. 20 indexed citations
15.
Baudrit, Cédric, Didier Dubois, & Nathalie Perrot. (2008). Representing parametric probabilistic models tainted with imprecision. Fuzzy Sets and Systems. 159(15). 1913–1928. 53 indexed citations
16.
17.
Baudrit, Cédric, Dominique Guyonnet, & Didier Dubois. (2007). Joint propagation of variability and imprecision in assessing the risk of groundwater contamination. Journal of Contaminant Hydrology. 93(1-4). 72–84. 51 indexed citations
18.
Baudrit, Cédric, Inés Couso, & Didier Dubois. (2006). Joint propagation of probability and possibility in risk analysis: Towards a formal framework. International Journal of Approximate Reasoning. 45(1). 82–105. 72 indexed citations
19.
Baudrit, Cédric & Didier Dubois. (2006). Practical representations of incomplete probabilistic knowledge. Computational Statistics & Data Analysis. 51(1). 86–108. 125 indexed citations
20.
Baudrit, Cédric, Dominique Guyonnet, & Didier Dubois. (2005). Postprocessing the Hybrid Method for Addressing Uncertainty in Risk Assessments. Journal of Environmental Engineering. 131(12). 1750–1754. 36 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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