Guillaume Ducellier

472 total citations
22 papers, 223 citations indexed

About

Guillaume Ducellier is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Mechanical Engineering. According to data from OpenAlex, Guillaume Ducellier has authored 22 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 7 papers in Computational Mechanics and 5 papers in Mechanical Engineering. Recurrent topics in Guillaume Ducellier's work include Manufacturing Process and Optimization (17 papers), 3D Shape Modeling and Analysis (6 papers) and Design Education and Practice (5 papers). Guillaume Ducellier is often cited by papers focused on Manufacturing Process and Optimization (17 papers), 3D Shape Modeling and Analysis (6 papers) and Design Education and Practice (5 papers). Guillaume Ducellier collaborates with scholars based in France, Tunisia and Saudi Arabia. Guillaume Ducellier's co-authors include Benoît Eynard, Alexandre Durupt, Lionel Roucoules, Nada Matta, Matthieu Bricogne, Emmanuel Caillaud, Pierre‐Alain Yvars, Borhen Louhichi, Marc Joliot and Myriam Lewkowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics and Computers in Simulation and Virtual and Physical Prototyping.

In The Last Decade

Guillaume Ducellier

20 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Ducellier France 8 131 45 38 34 29 22 223
Dominique Deneux France 8 114 0.9× 97 2.2× 51 1.3× 40 1.2× 34 1.2× 13 263
Raphaël Barbau United States 5 177 1.4× 45 1.0× 17 0.4× 41 1.2× 35 1.2× 11 269
Alexandre Durupt France 10 195 1.5× 23 0.5× 35 0.9× 77 2.3× 26 0.9× 33 311
Sylvère Krima United States 4 150 1.1× 35 0.8× 12 0.3× 35 1.0× 37 1.3× 10 230
Lian Ding United Kingdom 10 248 1.9× 36 0.8× 16 0.4× 131 3.9× 71 2.4× 29 311
Xenia Fiorentini United States 6 185 1.4× 37 0.8× 13 0.3× 56 1.6× 54 1.9× 15 280
Bart O. Nnaji United States 10 233 1.8× 22 0.5× 8 0.2× 110 3.2× 54 1.9× 23 333
Vahid Salehi Germany 9 122 0.9× 23 0.5× 16 0.4× 52 1.5× 25 0.9× 30 224
Graham Jared United Kingdom 11 215 1.6× 73 1.6× 9 0.2× 121 3.6× 137 4.7× 26 370

Countries citing papers authored by Guillaume Ducellier

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Ducellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Ducellier

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Ducellier. A scholar is included among the top collaborators of Guillaume Ducellier 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 Guillaume Ducellier. Guillaume Ducellier 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.
Ducellier, Guillaume, et al.. (2023). The implementation of a digital twin as an intelligent asset management system of a railway infrastructure: application to the work scheduling process at SNCF Réseau. Transportation research procedia. 72. 2302–2308. 4 indexed citations
2.
Ducellier, Guillaume, et al.. (2023). Updating a Railway Infrastructure Digital Twin by The Integration of a Variety of Data Sources. Transportation research procedia. 72. 666–673. 4 indexed citations
3.
Louhichi, Borhen, et al.. (2019). Comparison between CAD models using modification ratio calculation. International Journal of Computer Integrated Manufacturing. 32(10). 996–1008. 3 indexed citations
4.
Ducellier, Guillaume, et al.. (2019). Designing a unique Digital Twin for linear infrastructures lifecycle management. Procedia CIRP. 84. 545–549. 58 indexed citations
5.
Louhichi, Borhen, et al.. (2018). Engineering Changes within A CAD Model: Analysis and Impact Prediction. SPIRE - Sciences Po Institutional REpository. 91–96. 1 indexed citations
6.
Matta, Nada, et al.. (2016). How to share complex data and knowledge: Application in Bio-Imaging. IFAC-PapersOnLine. 49(12). 1098–1103. 11 indexed citations
7.
Ducellier, Guillaume, et al.. (2015). Ontology-based approach for product information exchange. International Journal of Product Lifecycle Management. 8(1). 1–1. 13 indexed citations
8.
Matta, Nada, et al.. (2014). CKD: a Cooperative Knowledge Discovery Model for Design Project. SHILAP Revista de lepidopterología. 2. 1363–1369. 1 indexed citations
9.
Ducellier, Guillaume, et al.. (2014). An extension of the core product model for the maturity management of the digital mock up: use of graph and knowledge to describe mechanical parts. International Journal of Product Lifecycle Management. 7(1). 94–94. 2 indexed citations
10.
Ducellier, Guillaume, Pierre‐Alain Yvars, & Benoît Eynard. (2014). Managing design change order in a PLM platform using a CSP approach. International Journal on Interactive Design and Manufacturing (IJIDeM). 8(3). 151–158. 4 indexed citations
11.
Durupt, Alexandre, et al.. (2014). Reverse engineering using a knowledge-based approach. International Journal of Product Development. 19(1/2/3). 113–113. 2 indexed citations
12.
Matta, Nada & Guillaume Ducellier. (2014). How to learn from design project knowledge. International Journal of Knowledge and Learning. 9(1/2). 164–164. 1 indexed citations
13.
Matta, Nada, et al.. (2013). Traceability and structuring of cooperative knowledge in design using PLM. Knowledge Management Research & Practice. 11(1). 53–61. 5 indexed citations
14.
Durupt, Alexandre, et al.. (2010). KBRE: a proposition of a reverse engineering process by a KBE system. International Journal on Interactive Design and Manufacturing (IJIDeM). 4(4). 227–237. 7 indexed citations
15.
Durupt, Alexandre, et al.. (2010). KBRE: A Knowledge Based Reverse Engineering for Mechanical Components. Computer-Aided Design and Applications. 7(2). 279–289. 6 indexed citations
16.
Durupt, Alexandre, et al.. (2010). Knowledge Based Reverse Engineering—An Approach for Reverse Engineering of a Mechanical Part. Journal of Computing and Information Science in Engineering. 10(4). 9 indexed citations
17.
Durupt, Alexandre, et al.. (2008). From a 3D point cloud to an engineering CAD model: a knowledge-product-based approach for reverse engineering. Virtual and Physical Prototyping. 3(2). 51–59. 36 indexed citations
18.
Ducellier, Guillaume, et al.. (2008). Advanced STEP parameterised and constrained features for reverse engineering. International Journal of Computer Applications in Technology. 32(1). 1–1.
19.
Ducellier, Guillaume, et al.. (2006). TRACEABILITY OF SIMULATION DATA IN A PLM ENVIRONMENT: PROPOSITION OF A STEP-BASED SYSTEM THAT SUPPORT PARAMETER INTEGRATION. 511–518. 6 indexed citations
20.
Eynard, Benoît, et al.. (2006). PDM system implementation based on UML. Mathematics and Computers in Simulation. 70(5-6). 330–342. 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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