Claudio Carvajal

583 total citations
31 papers, 462 citations indexed

About

Claudio Carvajal is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty. According to data from OpenAlex, Claudio Carvajal has authored 31 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 18 papers in Safety, Risk, Reliability and Quality and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Claudio Carvajal's work include Dam Engineering and Safety (24 papers), Geotechnical Engineering and Analysis (18 papers) and Probabilistic and Robust Engineering Design (6 papers). Claudio Carvajal is often cited by papers focused on Dam Engineering and Safety (24 papers), Geotechnical Engineering and Analysis (18 papers) and Probabilistic and Robust Engineering Design (6 papers). Claudio Carvajal collaborates with scholars based in France, Canada and Argentina. Claudio Carvajal's co-authors include Laurent Peyras, Pierre Breul, Claude Bacconnet, Daniel Dias, Xiangfeng Guo, Philippe Bressolette, P. Royet, Youssef Diab, Patrick Arnaud and Marc Vuillet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Engineering Geology.

In The Last Decade

Claudio Carvajal

27 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Carvajal France 12 394 256 110 96 58 31 462
Claude Bacconnet France 11 313 0.8× 170 0.7× 84 0.8× 40 0.4× 38 0.7× 27 352
T. Schweckendiek Netherlands 13 313 0.8× 210 0.8× 52 0.5× 91 0.9× 20 0.3× 50 423
Yusuke Honjo Japan 14 444 1.1× 286 1.1× 55 0.5× 53 0.6× 63 1.1× 59 527
Xing Zheng Wu China 9 293 0.7× 261 1.0× 123 1.1× 72 0.8× 29 0.5× 36 386
Sami O. Akbas Türkiye 11 375 1.0× 226 0.9× 185 1.7× 14 0.1× 28 0.5× 36 533
J.V. Retief South Africa 9 332 0.8× 175 0.7× 21 0.2× 99 1.0× 58 1.0× 32 474
Zhiping Deng China 7 372 0.9× 353 1.4× 204 1.9× 47 0.5× 45 0.8× 20 458
William S. Kaggwa Australia 11 441 1.1× 332 1.3× 91 0.8× 24 0.3× 21 0.4× 16 518
Y.L. Kuo Australia 10 403 1.0× 302 1.2× 79 0.7× 18 0.2× 33 0.6× 31 484
Yoshihisa MIYATA Japan 20 951 2.4× 552 2.2× 121 1.1× 32 0.3× 28 0.5× 75 1.0k

Countries citing papers authored by Claudio Carvajal

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Carvajal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Carvajal

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Carvajal. A scholar is included among the top collaborators of Claudio Carvajal 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 Claudio Carvajal. Claudio Carvajal 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.
Peyras, Laurent, et al.. (2025). Probabilistic Flood Hazard Assessment for Multiple Flood and Levee Breaching Scenarios: A Case Study of Etobicoke Creek, Canada. Journal of Flood Risk Management. 18(1). 1 indexed citations
2.
Carvajal, Claudio, et al.. (2025). Probabilistic analysis of three different internal erosion mechanisms - Application to a real earth dam. Engineering Geology. 354. 108186–108186.
3.
4.
Carvajal, Claudio, et al.. (2024). Adaptive Bayesian inversion of pore water pressures based on artificial neural network: An earth dam case study. Journal of Central South University. 31(11). 3930–3947.
5.
Dias, Daniel, Claudio Carvajal, Laurent Peyras, et al.. (2024). Pore Water Pressure Prediction Based on Machine Learning Methods—Application to an Earth Dam Case. Applied Sciences. 14(11). 4749–4749. 3 indexed citations
7.
Veylon, Guillaume, et al.. (2023). Dynamic Properties of a Compacted Residual Soil from the West Indies. SHILAP Revista de lepidopterología. 3(2). 254–277. 1 indexed citations
8.
Carvajal, Claudio, et al.. (2023). Stability Analysis of Earth Dam Slopes Based on the Second-Order Work Criterion in Finite Element Modeling. SHILAP Revista de lepidopterología. 3(4). 1117–1134. 1 indexed citations
9.
Guo, Xiangfeng, Daniel Dias, Claudio Carvajal, Laurent Peyras, & Pierre Breul. (2021). Modelling and comparison of different types of random fields: case of a real earth dam. Engineering With Computers. 38(S5). 4529–4543. 18 indexed citations
10.
Guo, Xiangfeng, Daniel Dias, Claudio Carvajal, Laurent Peyras, & Pierre Breul. (2021). Three-dimensional probabilistic stability analysis of an earth dam using an active learning metamodeling approach. Bulletin of Engineering Geology and the Environment. 81(1). 11 indexed citations
11.
Peyras, Laurent, et al.. (2020). Development of an approach to evaluate the failure probabilities of river levees based on expert judgement: Application to a case study. Journal of Flood Risk Management. 13(2). 3 indexed citations
12.
Vuillet, Marc, et al.. (2019). Expert judgments calibration and combination for assessment of river levee failure probability. Reliability Engineering & System Safety. 188. 377–392. 12 indexed citations
13.
14.
Carvajal, Claudio, et al.. (2018). Probabilistic stability analysis of an earth dam by Stochastic Finite Element Method based on field data. Computers and Geotechnics. 101. 34–47. 73 indexed citations
15.
Veylon, Guillaume, et al.. (2017). A simplified method for estimating Newmark displacements of mountain reservoirs. Soil Dynamics and Earthquake Engineering. 100. 518–528. 17 indexed citations
16.
Vuillet, Marc, et al.. (2016). Uncertainty and Expert Assessment for Supporting Evaluation of Levees Safety. SHILAP Revista de lepidopterología. 7. 3019–3019. 4 indexed citations
17.
Vuillet, Marc, et al.. (2016). Vers un traitement des biais experts pour l’évaluation de la fiabilité des digues. DSpace (Centre National De La Recherche Scientifique). 1 indexed citations
18.
Vuillet, Marc, Laurent Peyras, Claudio Carvajal, & Youssef Diab. (2016). Developing a Probabilistic Multicriteria Method for River Levee Performance Evaluation in Support of Diagnostic Analysis. Journal of Infrastructure Systems. 22(3). 3 indexed citations
19.
Vuillet, Marc, Laurent Peyras, Claudio Carvajal, Damien Serre, & Youssef Diab. (2013). Levee performance evaluation based on subjective probabilities. European Journal of Environmental and Civil engineering. 17(5). 329–349. 7 indexed citations
20.
Carvajal, Claudio, et al.. (2009). Probabilistic Modeling of Floodwater Level for Dam Reservoirs. Journal of Hydrologic Engineering. 14(3). 223–232. 25 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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