Pierre Kerfriden

4.3k total citations · 1 hit paper
86 papers, 3.5k citations indexed

About

Pierre Kerfriden is a scholar working on Mechanics of Materials, Computational Mechanics and Statistical and Nonlinear Physics. According to data from OpenAlex, Pierre Kerfriden has authored 86 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Mechanics of Materials, 37 papers in Computational Mechanics and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Pierre Kerfriden's work include Numerical methods in engineering (40 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Model Reduction and Neural Networks (19 papers). Pierre Kerfriden is often cited by papers focused on Numerical methods in engineering (40 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Model Reduction and Neural Networks (19 papers). Pierre Kerfriden collaborates with scholars based in United Kingdom, Luxembourg and France. Pierre Kerfriden's co-authors include Stéphane Bordas, Timon Rabczuk, Mohammad Silani, Hossein Talebi, Haojie Lian, Elena Atroshchenko, Sundararajan Natarajan, Xuan Peng, Danas Sutula and Lan Chen and has published in prestigious journals such as Journal of Computational Physics, International Journal of Heat and Mass Transfer and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Pierre Kerfriden

81 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A computational library for multiscale modeling of material failure

2013 491 citations Stéphane Bordas, Pierre Kerfriden et al. Computational Mechanics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Kerfriden United Kingdom	32	2.3k	1.2k	861	633	510	86	3.5k
Anthony Gravouil France	35	3.7k 1.6×	1.4k 1.2×	1.1k 1.3×	1.1k 1.8×	570 1.1×	125	4.8k
Ludovic Noels Belgium	32	1.7k 0.7×	558 0.5×	587 0.7×	723 1.1×	569 1.1×	127	3.0k
Xiangyang Cui China	38	2.2k 0.9×	1.1k 0.9×	835 1.0×	992 1.6×	422 0.8×	142	3.7k
Genki YAGAWA Japan	25	1.7k 0.7×	830 0.7×	895 1.0×	746 1.2×	289 0.6×	336	2.8k
Kumar K. Tamma United States	33	1.5k 0.7×	1.5k 1.2×	470 0.5×	1.0k 1.6×	298 0.6×	314	4.0k
Julien Yvonnet France	39	3.7k 1.6×	736 0.6×	1.2k 1.4×	806 1.3×	1.0k 2.0×	118	4.8k
Jiun‐Shyan Chen United States	36	4.4k 1.9×	2.7k 2.2×	1.7k 2.0×	567 0.9×	472 0.9×	130	5.3k
Clemens V. Verhoosel Netherlands	30	4.1k 1.8×	2.5k 2.0×	1.1k 1.2×	1.1k 1.7×	724 1.4×	63	5.6k
Haim Waisman United States	36	2.7k 1.2×	698 0.6×	1.3k 1.5×	667 1.1×	552 1.1×	133	3.5k
G. R. Liu Singapore	32	3.4k 1.5×	2.2k 1.8×	935 1.1×	339 0.5×	475 0.9×	58	4.3k

Countries citing papers authored by Pierre Kerfriden

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Kerfriden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Kerfriden

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Kerfriden. A scholar is included among the top collaborators of Pierre Kerfriden 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 Pierre Kerfriden. Pierre Kerfriden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cantournet, Sabine, et al.. (2025). A Bayesian extension to FEMU for identification of spatially varying stochastic elastic properties from digital image and volume correlation measurements. Journal of Computational Physics. 531. 113946–113946. 1 indexed citations

Kerfriden, Pierre, et al.. (2024). A time-discontinuous elasto-plasticity formalism to simulate instantaneous plastic flow bursts. International Journal of Solids and Structures. 309. 113171–113171. 2 indexed citations

Cleall, Peter John, et al.. (2024). Influence of Spatially Varying Boundary Conditions Based on Material Heterogeneity. ORCA Online Research @Cardiff (Cardiff University). 199–226.

Kerfriden, Pierre, et al.. (2024). A Bayesian approach to modeling finite element discretization error. Statistics and Computing. 34(5).

Maurel, Vincent, et al.. (2024). A plastic correction algorithm for full-field elasto-plastic finite element simulations: critical assessment of predictive capabilities and improvement by machine learning. Computational Mechanics. 75(4). 1263–1293. 2 indexed citations

Claus, Susanne, et al.. (2023). Model-based simulations of pulsed laser ablation using an embedded finite element method. International Journal of Heat and Mass Transfer. 204. 123843–123843. 9 indexed citations

Bordas, Stéphane, et al.. (2023). A graph-based probabilistic geometric deep learning framework with online enforcement of physical constraints to predict the criticality of defects in porous materials. International Journal of Solids and Structures. 286-287. 112545–112545. 10 indexed citations

Bordas, Stéphane, et al.. (2023). NURBS-based surface generation from 3D images: spectral construction and data-driven model selection. Journal of Computational Design and Engineering. 10(4). 1856–1867. 5 indexed citations

Cleall, Peter John, et al.. (2023). Near-boundary error reduction with an optimized weighted Dirichlet–Neumann boundary condition for stochastic PDE-based Gaussian random field generators. Engineering With Computers. 39(6). 3821–3833. 2 indexed citations

10.

Cleall, Peter John, et al.. (2023). Representation of three-dimensional unsaturated flow in heterogeneous soil through tractable Gaussian random fields. Géotechnique. 74(13). 1868–1880. 3 indexed citations

11.

Cleall, Peter John, et al.. (2023). A Statistical Finite Element Method Integrating a Plurigaussian Random Field Generator for Multi-scale Modelling of Solute Transport in Concrete. Transport in Porous Media. 148(1). 95–121. 2 indexed citations

12.

Rocha, I.B.C.M., Pierre Kerfriden, & F.P. van der Meer. (2023). Machine learning of evolving physics-based material models for multiscale solid mechanics. Mechanics of Materials. 184. 104707–104707. 17 indexed citations

13.

Bordas, Stéphane, et al.. (2023). A Graph-Based Probabilistic Geometric Deep Learning Framework with Online Enforcement of Physical Constraints to Predict the Criticality of Defects in Porous Materials. SSRN Electronic Journal. 5 indexed citations

14.

Simpson, Robert, Stéphane Bordas, James Trevelyan, Pierre Kerfriden, & Timon Rabczuk. (2017). An Isogeometric Boundary Element Method for elastostatic analysis. Publication Server of Weimar Bauhaus-University (Weimar Bauhaus-University).

15.

Kerfriden, Pierre, et al.. (2016). A fast, certified and "tuning-free" two-field reduced basis method for the metamodelling of parametrised elasticity problems. HAL (Le Centre pour la Communication Scientifique Directe).

16.

Lee, Changkye, L. Angela Mihai, Pierre Kerfriden, & Stéphane Bordas. (2014). 11th. World Congress on Computational Mechanics (WCCM XI). Open Repository and Bibliography (University of Luxembourg). 48 indexed citations

17.

Nguyen, Vinh Phu, Pierre Kerfriden, & Stéphane Bordas. (2014). Two- and three-dimensional isogeometric cohesive elements for composite delamination analysis. Composites Part B Engineering. 60. 193–212. 63 indexed citations

18.

Courtecuisse, Hadrien, Jérémie Allard, Pierre Kerfriden, et al.. (2013). Real-time simulation of contact and cutting of heterogeneous soft-tissues. Medical Image Analysis. 18(2). 394–410. 118 indexed citations

19.

Vu‐Bac, N., H. Nguyen‐Xuan, Lan Chen, et al.. (2011). A Node-Based Smoothed eXtended Finite Element Method (NS-XFEM) for Fracture Analysis. Computer Modeling in Engineering & Sciences. 73(4). 331–356. 82 indexed citations

20.

Kerfriden, Pierre, Pierre Gosselet, Sondipon Adhikari, & Stéphane Bordas. (2010). Bridging proper orthogonal decomposition methods and augmented Newton–Krylov algorithms: An adaptive model order reduction for highly nonlinear mechanical problems. Computer Methods in Applied Mechanics and Engineering. 200(5-8). 850–866. 123 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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