D. Coupard

1.4k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

D. Coupard is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, D. Coupard has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 9 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in D. Coupard's work include Advanced machining processes and optimization (8 papers), Advanced Surface Polishing Techniques (7 papers) and Aluminum Alloys Composites Properties (6 papers). D. Coupard is often cited by papers focused on Advanced machining processes and optimization (8 papers), Advanced Surface Polishing Techniques (7 papers) and Aluminum Alloys Composites Properties (6 papers). D. Coupard collaborates with scholars based in France, Spain and Colombia. D. Coupard's co-authors include F. Girot, Madalina Calamaz, Mohammed Nouari, Gautier List, Thierry Palin‐Luc, Vincent Ji, G. Germain, Thomas Pottier, Éric Lacoste and M. Lahaye and has published in prestigious journals such as Journal of Materials Chemistry, Materials Science and Engineering A and Journal of Materials Science.

In The Last Decade

D. Coupard

22 papers receiving 1.1k citations

Hit Papers

A new material model for 2D numerical simulation of serra... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Coupard France 11 1.0k 559 321 285 253 22 1.1k
Badis Haddag France 20 900 0.9× 473 0.8× 292 0.9× 222 0.8× 374 1.5× 40 1.1k
Madalina Calamaz France 11 921 0.9× 613 1.1× 259 0.8× 323 1.1× 176 0.7× 24 1.0k
Gautier List France 12 872 0.9× 537 1.0× 211 0.7× 395 1.4× 200 0.8× 27 961
Frédéric Valiorgue France 18 1.0k 1.0× 526 0.9× 255 0.8× 266 0.9× 271 1.1× 73 1.1k
C. Courbon France 20 1.3k 1.3× 559 1.0× 500 1.6× 394 1.4× 387 1.5× 55 1.4k
Chunzheng Duan China 19 840 0.8× 465 0.8× 264 0.8× 220 0.8× 148 0.6× 64 942
Yejun Zhu China 19 1.2k 1.2× 844 1.5× 253 0.8× 452 1.6× 164 0.6× 58 1.4k
Jun Zhao China 25 1.3k 1.3× 571 1.0× 344 1.1× 465 1.6× 336 1.3× 95 1.4k
Kun Zhou China 19 878 0.9× 567 1.0× 275 0.9× 175 0.6× 175 0.7× 58 1.1k
Chinmaya R. Dandekar United States 11 1.2k 1.2× 662 1.2× 265 0.8× 554 1.9× 218 0.9× 15 1.4k

Countries citing papers authored by D. Coupard

Since Specialization
Citations

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

Fields of papers citing papers by D. Coupard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Coupard

This figure shows the co-authorship network connecting the top 25 collaborators of D. Coupard. A scholar is included among the top collaborators of D. Coupard 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 D. Coupard. D. Coupard 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.
Aldanondo, Egoitz, et al.. (2018). Analytical modeling of hot behavior of Ti-6Al-4V alloy at large strain. Materials & Design. 161. 114–123. 14 indexed citations
2.
Coupard, D., et al.. (2018). Genesis of Microstructures in Friction Stir Welding of Ti-6Al-4V. Metallurgical and Materials Transactions A. 49(6). 2113–2123. 12 indexed citations
3.
Pottier, Thomas, et al.. (2014). Sub-Millimeter Measurement of Finite Strains at Cutting Tool Tip Vicinity. Experimental Mechanics. 54(6). 1031–1042. 33 indexed citations
4.
Calamaz, Madalina, D. Coupard, & F. Girot. (2012). Strain Field Measurement in Orthogonal Machining of a Titanium Alloy. Advanced materials research. 498. 237–242. 5 indexed citations
5.
Calamaz, Madalina, et al.. (2012). Chip/Tool Interaction during Dry Machining of the TA6V Alloy. Advanced materials research. 445. 183–188. 2 indexed citations
6.
Girot, F., et al.. (2011). Modeling and Adhesive Tool Wear in Dry Drilling of Aluminum Alloys. AIP conference proceedings. 1639–1644. 5 indexed citations
7.
Palin‐Luc, Thierry, et al.. (2011). Simulation of multiaxial fatigue strength of steel component treated by surface induction hardening and comparison with experimental results. International Journal of Fatigue. 33(8). 1040–1047. 19 indexed citations
8.
Calamaz, Madalina, D. Coupard, Mohammed Nouari, & F. Girot. (2010). Numerical analysis of chip formation and shear localisation processes in machining the Ti-6Al-4V titanium alloy. The International Journal of Advanced Manufacturing Technology. 52(9-12). 887–895. 81 indexed citations
9.
Calamaz, Madalina, D. Coupard, & F. Girot. (2010). NUMERICAL SIMULATION OF TITANIUM ALLOY DRY MACHINING WITH A STRAIN SOFTENING CONSTITUTIVE LAW. Machining Science and Technology. 14(2). 244–257. 68 indexed citations
10.
Iordanoff, Ivan, et al.. (2009). Discrete element method, a tool to investigate complex thermo mechanical behaviour: application to friction stir welding. International Journal of Material Forming. 2(S1). 573–576. 6 indexed citations
11.
Coupard, D., et al.. (2007). Residual stresses in surface induction hardening of steels: Comparison between experiment and simulation. Materials Science and Engineering A. 487(1-2). 328–339. 67 indexed citations
12.
Calamaz, Madalina, D. Coupard, & F. Girot. (2007). A new material model for 2D numerical simulation of serrated chip formation when machining titanium alloy Ti–6Al–4V. International Journal of Machine Tools and Manufacture. 48(3-4). 275–288. 517 indexed citations breakdown →
13.
Coupard, D. & F. Girot. (2007). Numerical Simulation of the Slug Riveting Process. 10(4). 429–446. 2 indexed citations
14.
Coupard, D., et al.. (2006). Constitutive model of the alloy 2117-T4 at low strain rates and temperatures. Journal of Materials Processing Technology. 173(3). 252–259. 14 indexed citations
15.
Coupard, D., et al.. (2001). Determination of optimal brazing frequency by solution of thermal and electromagnetic models. Science and Technology of Welding & Joining. 6(3). 177–181. 2 indexed citations
16.
Coupard, D.. (2000). Fabrication and characterisation of graphite/alumina reinforced copper composites. Journal of Materials Science. 35(23). 5967–5971. 1 indexed citations
17.
Silvain, Jean‐François, et al.. (2000). Interface characterisation and wettability properties of carbon particle reinforced copper alloy. Journal of Materials Chemistry. 10(9). 2213–2218. 15 indexed citations
18.
Coupard, D., et al.. (1999). Fabrication and squeeze casting infiltration of graphite/alumina preforms. Journal of Materials Science. 34(21). 5307–5313. 5 indexed citations
19.
Coupard, D., et al.. (1996). Wear Behavior of Copper Matrix Composites. Key engineering materials. 127-131. 1009–1016. 9 indexed citations
20.
Coupard, D., F. Girot, & J.M. Quenisset. (1996). Models describing the interaction of particles with a plane solid/liquid interface. Journal of Materials Science. 31(20). 5305–5308. 4 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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