Dimitri Debruyne

2.8k total citations
85 papers, 2.3k citations indexed

About

Dimitri Debruyne is a scholar working on Mechanical Engineering, Mechanics of Materials and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dimitri Debruyne has authored 85 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 42 papers in Mechanics of Materials and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dimitri Debruyne's work include Optical measurement and interference techniques (39 papers), Metal Forming Simulation Techniques (35 papers) and Metallurgy and Material Forming (22 papers). Dimitri Debruyne is often cited by papers focused on Optical measurement and interference techniques (39 papers), Metal Forming Simulation Techniques (35 papers) and Metallurgy and Material Forming (22 papers). Dimitri Debruyne collaborates with scholars based in Belgium, Italy and United States. Dimitri Debruyne's co-authors include Pascal Lava, Sam Coppieters, Steven Cooreman, H. Sol, Maarten De Strycker, P. Van Houtte, David Lecompte, J. Vantomme, Robyn H. Pritchard and Eugene M. Terentjev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and International Journal of Solids and Structures.

In The Last Decade

Dimitri Debruyne

83 papers receiving 2.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dimitri Debruyne 1.2k 965 809 532 290 85 2.3k
Pascal Lava 756 0.6× 499 0.5× 948 1.2× 469 0.9× 284 1.0× 74 2.1k
Tsuchin Philip Chu 743 0.6× 785 0.8× 1.3k 1.6× 790 1.5× 351 1.2× 66 2.5k
Satoru Yoneyama 600 0.5× 689 0.7× 900 1.1× 700 1.3× 209 0.7× 143 1.9k
Dafang Wu 548 0.5× 639 0.7× 851 1.1× 508 1.0× 229 0.8× 43 1.9k
Sam Coppieters 1.2k 1.0× 915 0.9× 499 0.6× 280 0.5× 126 0.4× 105 1.7k
Jean‐Christophe Dupré 512 0.4× 519 0.5× 805 1.0× 404 0.8× 290 1.0× 83 1.8k
K. Ramesh 590 0.5× 825 0.9× 1.2k 1.4× 751 1.4× 263 0.9× 109 2.1k
Sébastien Mistou 503 0.4× 1.3k 1.4× 410 0.5× 931 1.8× 171 0.6× 43 1.9k
Félix Latourte 786 0.6× 756 0.8× 373 0.5× 447 0.8× 362 1.2× 31 1.7k
André Chrysochoos 898 0.7× 1.4k 1.4× 357 0.4× 619 1.2× 212 0.7× 67 2.2k

Countries citing papers authored by Dimitri Debruyne

Since Specialization
Citations

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

Fields of papers citing papers by Dimitri Debruyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Debruyne

This figure shows the co-authorship network connecting the top 25 collaborators of Dimitri Debruyne. A scholar is included among the top collaborators of Dimitri Debruyne 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 Dimitri Debruyne. Dimitri Debruyne 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.
Debruyne, Dimitri, et al.. (2021). Towards best practice in numerical simulation of blind rivet nut installation. International Journal of Material Forming. 14(5). 1139–1155. 6 indexed citations
2.
Coppieters, Sam, et al.. (2021). Effect of bending process on the fatigue behaviour of high strength steel. Journal of Constructional Steel Research. 182. 106662–106662. 11 indexed citations
3.
Denys, K., Sam Coppieters, & Dimitri Debruyne. (2018). On the identification of a high-resolution multi-linear post-necking strain hardening model. Comptes Rendus Mécanique. 346(8). 712–723. 8 indexed citations
4.
Coppieters, Sam, et al.. (2018). Inverse identification of the post-necking work hardening behaviour of thick HSS through full-field strain measurements during diffuse necking. Mechanics of Materials. 129. 361–374. 53 indexed citations
5.
Lombaert, Geert, et al.. (2018). Numerical Investigations on the Fatigue Life of Lean Duplex Transverse Stiffeners in Bridges. SHILAP Revista de lepidopterología. 415–415. 2 indexed citations
6.
Balcaen, R., P.L. Reu, Pascal Lava, & Dimitri Debruyne. (2017). Stereo-DIC Uncertainty Quantification based on Simulated Images. Experimental Mechanics. 57(6). 939–951. 44 indexed citations
7.
Debruyne, Dimitri, et al.. (2016). Implementation of Convergence in Adaptive Global Digital Image Correlation. Experimental Mechanics. 56(5). 797–811. 3 indexed citations
8.
Rossi, Marco, et al.. (2016). A procedure for specimen optimization applied to material testing in plasticity with the virtual fields method. AIP conference proceedings. 1769. 200016–200016. 10 indexed citations
9.
Denys, K., et al.. (2016). Identification of a 3D Anisotropic Yield Surface of X70 Pipeline Steel Using a Multi-DIC Setup. Lirias (KU Leuven). 1 indexed citations
10.
Rossi, Marco, et al.. (2015). Impact of Experimental Uncertainties on the Identification of Mechanical Material Properties using DIC. Experimental Mechanics. 55(8). 1411–1426. 31 indexed citations
11.
Lava, Pascal, et al.. (2015). Cn‐continuity in Digital Image Correlation: Implementation and Validation of C− 1, C0 and C1 Algorithms. Strain. 51(6). 444–458. 5 indexed citations
12.
Coppieters, Sam, et al.. (2014). Identification of Post-Necking Hardening Behaviour of Sheet Metal: Influence of the Yield Function. Lirias (KU Leuven). 1 indexed citations
13.
Soons, Joris, Pascal Lava, Dimitri Debruyne, & Joris Dirckx. (2012). Full-field optical deformation measurement in biomechanics: Digital speckle pattern interferometry and 3D digital image correlation applied to bird beaks. Journal of the mechanical behavior of biomedical materials. 14. 186–191. 38 indexed citations
14.
Coppieters, Sam, Pascal Lava, Steven Cooreman, et al.. (2012). Numerical and experimental study of the multi-axial quasi-static strength of clinched connections. International Journal of Material Forming. 6(4). 437–451. 44 indexed citations
15.
Coppieters, Sam, Steven Cooreman, H. Sol, Paul Van Houtte, & Dimitri Debruyne. (2011). Identification of post-necking hardening behaviour of sheet metal.
16.
Coppieters, Sam, Pascal Lava, H. Sol, et al.. (2010). Determination of the flow stress and contact friction of sheet metal in a multi-layered upsetting test. Journal of Materials Processing Technology. 210(10). 1290–1296. 20 indexed citations
17.
Coppieters, Sam, Steven Cooreman, H. Sol, P. Van Houtte, & Dimitri Debruyne. (2010). Identification of the post-necking hardening behaviour of sheet metal by comparison of the internal and external work in the necking zone. Journal of Materials Processing Technology. 211(3). 545–552. 129 indexed citations
18.
Strycker, Maarten De, Dimitri Debruyne, Wim Van Paepegem, & Luc Schueremans. (2009). Welding of cold-rolled steel tubes : sensitivity of FEA input parameters. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Cooreman, Steven, David Lecompte, H. Sol, Dimitri Debruyne, & Sam Coppieters. (2007). Elasto-plastic material parameter identification by inverse methods. Lirias (KU Leuven). 1 indexed citations
20.
Cooreman, Steven, et al.. (2006). Elasto-plastic material parameter identification by inverse methods: sensitivity matrix calculation. Open Repository and Bibliography (University of Liège). 1 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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