Lode Duprez

1.3k total citations
37 papers, 1.1k citations indexed

About

Lode Duprez is a scholar working on Materials Chemistry, Metals and Alloys and Mechanical Engineering. According to data from OpenAlex, Lode Duprez has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 25 papers in Metals and Alloys and 21 papers in Mechanical Engineering. Recurrent topics in Lode Duprez's work include Hydrogen embrittlement and corrosion behaviors in metals (25 papers), Microstructure and Mechanical Properties of Steels (20 papers) and Corrosion Behavior and Inhibition (16 papers). Lode Duprez is often cited by papers focused on Hydrogen embrittlement and corrosion behaviors in metals (25 papers), Microstructure and Mechanical Properties of Steels (20 papers) and Corrosion Behavior and Inhibition (16 papers). Lode Duprez collaborates with scholars based in Belgium, Germany and Luxembourg. Lode Duprez's co-authors include Kim Verbeken, Diana Pérez Escobar, Marc Verhaege, Nuri Akdut, Bruno C. De Cooman, Tom Depover, Elien Wallaert, Andrej Atrens, Tom Dhaene and Koenraad Theuwissen and has published in prestigious journals such as Acta Materialia, Materials Science and Engineering A and Corrosion Science.

In The Last Decade

Lode Duprez

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lode Duprez Belgium 16 865 840 686 211 43 37 1.1k
W. Y. Choo South Korea 9 795 0.9× 820 1.0× 520 0.8× 192 0.9× 21 0.5× 16 982
E. Girault Belgium 9 226 0.3× 640 0.8× 824 1.2× 253 1.2× 12 0.3× 11 853
Jan Mahieu Belgium 8 156 0.2× 446 0.5× 499 0.7× 138 0.7× 20 0.5× 14 562
Jérémie Bouquerel France 12 110 0.1× 375 0.4× 485 0.7× 234 1.1× 18 0.4× 36 595
Masayoshi Suehiro Japan 15 80 0.1× 331 0.4× 581 0.8× 382 1.8× 16 0.4× 40 644
W. Solano-Alvarez United Kingdom 11 81 0.1× 339 0.4× 377 0.5× 238 1.1× 10 0.2× 16 462
R. J. Brigham Australia 14 476 0.6× 498 0.6× 338 0.5× 76 0.4× 171 4.0× 32 713
Liqiang Chen China 11 275 0.3× 474 0.6× 199 0.3× 63 0.3× 99 2.3× 23 580
Yasuharu Sakuma Japan 11 268 0.3× 641 0.8× 891 1.3× 292 1.4× 17 0.4× 14 911
Marijke De Meyer Belgium 9 106 0.1× 307 0.4× 399 0.6× 142 0.7× 10 0.2× 16 425

Countries citing papers authored by Lode Duprez

Since Specialization
Citations

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

Fields of papers citing papers by Lode Duprez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lode Duprez

This figure shows the co-authorship network connecting the top 25 collaborators of Lode Duprez. A scholar is included among the top collaborators of Lode Duprez 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 Lode Duprez. Lode Duprez 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.
Lejaeghere, Kurt, Joshua Stuckner, Koenraad Theuwissen, Steven M. Arnold, & Lode Duprez. (2025). Machine learning for complex microstructures - latent features as an alternative to physical features in steel structure-property relationships. Materials Characterization. 229. 115612–115612.
2.
Dutta, Aniruddha, et al.. (2023). Micro‐ to Nanoscale Microstructural Differences Induced by Intercritical Annealing in a Hot‐Rolled Medium Manganese Steel. steel research international. 94(11). 1 indexed citations
3.
Theuwissen, Koenraad, et al.. (2022). Towards accurate processing-structure-property links using deep learning. Scripta Materialia. 211. 114478–114478. 9 indexed citations
4.
Mapelli, Carlo, et al.. (2021). JMAK model applied on the κ-carbide precipitation in FeMnAlC steels. Journal of Materials Research and Technology. 15. 3386–3398. 12 indexed citations
5.
Sluydts, Michael, et al.. (2020). Compact representations of microstructure images using triplet networks. npj Computational Materials. 6(1). 21 indexed citations
6.
Duprez, Lode, et al.. (2020). Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches. Integrating materials and manufacturing innovation. 9(3). 240–256. 22 indexed citations
7.
Lejaeghere, Kurt, et al.. (2018). A first-principles reassessment of the Fe-N phase diagram in the low-nitrogen limit. Journal of Alloys and Compounds. 775. 758–768. 8 indexed citations
8.
Escobar, Diana Pérez, Lode Duprez, Andrej Atrens, & Kim Verbeken. (2013). Thermal desorption spectroscopy study of experimental Ti/S containing steels. Materials Science and Technology. 29(3). 261–267. 14 indexed citations
9.
Escobar, Diana Pérez, Lode Duprez, Andrej Atrens, & Kim Verbeken. (2013). Influence of experimental parameters on thermal desorption spectroscopy measurements during evaluation of hydrogen trapping. Journal of Nuclear Materials. 450(1-3). 32–41. 38 indexed citations
10.
Escobar, Diana Pérez, Kim Verbeken, Lode Duprez, & Marc Verhaege. (2012). Evaluation of hydrogen trapping in high strength steels by thermal desorption spectroscopy. Materials Science and Engineering A. 551. 50–58. 111 indexed citations
11.
Duprez, Lode, et al.. (2010). Selecting Hydrogen Embrittlement Resistant Materials by Means of the Disc Rupture Test. JuSER (Forschungszentrum Jülich). 1 indexed citations
12.
Escobar, Diana Pérez, Lode Duprez, Kim Verbeken, & Marc Verhaege. (2009). Identification of the hydrogen trap sites in a high strength TRIP steel by means of Thermal Desorption Spectroscopy. 485–492. 3 indexed citations
13.
Duprez, Lode, et al.. (2008). Quantification of ∊-martensite after thermocycling in Fe-(17∼25)Mn alloys. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 99(12). 1352–1357. 4 indexed citations
14.
Duprez, Lode, et al.. (2007). Stresses related to the shape memory effect in Fe–Mn–Si-based shape memory alloys. Materials Science and Engineering A. 481-482. 183–189. 16 indexed citations
15.
Duprez, Lode, et al.. (2002). Influence of composition on crack sensitivity of ferritic stainless steel. Materials Science and Technology. 18(6). 664–672. 6 indexed citations
16.
Duprez, Lode, Bruno C. De Cooman, & Nuri Akdut. (2002). Flow stress and ductility of duplex stainless steel during high-temperature torsion deformation. Metallurgical and Materials Transactions A. 33(7). 1931–1938. 89 indexed citations
17.
Duprez, Lode, Bruno C. De Cooman, & Nuri Akdut. (2002). Deformation behaviour of duplex stainless steel during industrial hot rolling. Steel Research. 73(12). 531–538. 25 indexed citations
18.
Duprez, Lode, Bruno C. De Cooman, & Nuri Akdut. (2001). Redistribution of the substitutional elements during σ and χ phase formation in a duplex stainless steel. Steel Research. 72(8). 311–316. 46 indexed citations
19.
Duprez, Lode, et al.. (2000). Hot deformation behaviour of duplex stainless steel.. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
20.
Duprez, Lode, et al.. (2000). Microstructural changes in duplex stainless steel during isothermal annealing.. Ghent University Academic Bibliography (Ghent University). 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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