S. Denis

1.9k total citations
61 papers, 1.4k citations indexed

About

S. Denis is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, S. Denis has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Mechanical Engineering, 33 papers in Mechanics of Materials and 30 papers in Materials Chemistry. Recurrent topics in S. Denis's work include Microstructure and Mechanical Properties of Steels (43 papers), Metallurgy and Material Forming (21 papers) and Metal Alloys Wear and Properties (20 papers). S. Denis is often cited by papers focused on Microstructure and Mechanical Properties of Steels (43 papers), Metallurgy and Material Forming (21 papers) and Metal Alloys Wear and Properties (20 papers). S. Denis collaborates with scholars based in France, Sweden and Puerto Rico. S. Denis's co-authors include A. Simón, Erwan Gautier, Sören Sjöström, G. Beck, Alain Hazotte, Francisco Manuel Braz Fernandes, Guillaume Géandier, Julien Teixeira, Daniel Farı́as and Elisabeth Aeby‐Gautier and has published in prestigious journals such as Acta Materialia, International Journal of Heat and Mass Transfer and Materials Science and Engineering A.

In The Last Decade

S. Denis

60 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Denis France 21 1.3k 673 621 124 120 61 1.4k
Jean‐Hubert Schmitt France 23 1.3k 1.0× 1.0k 1.5× 863 1.4× 72 0.6× 125 1.0× 54 1.6k
T. Foecke United States 18 809 0.6× 854 1.3× 665 1.1× 93 0.8× 102 0.8× 52 1.3k
C.K. Syn United States 18 983 0.8× 791 1.2× 416 0.7× 36 0.3× 108 0.9× 47 1.2k
Susumu Onaka Japan 21 980 0.8× 981 1.5× 639 1.0× 59 0.5× 237 2.0× 133 1.5k
Satyam S. Sahay India 17 848 0.7× 706 1.0× 302 0.5× 39 0.3× 119 1.0× 58 1.1k
DL McDowell United States 21 1.1k 0.8× 917 1.4× 975 1.6× 26 0.2× 133 1.1× 31 1.7k
Mark R. Stoudt United States 21 1.4k 1.1× 487 0.7× 307 0.5× 26 0.2× 161 1.3× 52 1.6k
Peter K. Liaw United States 21 1.1k 0.9× 504 0.7× 406 0.7× 41 0.3× 362 3.0× 71 1.3k
Julien Teixeira France 17 1.1k 0.9× 1.0k 1.5× 314 0.5× 62 0.5× 388 3.2× 47 1.3k
D.A. Korzekwa United States 11 554 0.4× 421 0.6× 372 0.6× 47 0.4× 48 0.4× 17 718

Countries citing papers authored by S. Denis

Since Specialization
Citations

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

Fields of papers citing papers by S. Denis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Denis

This figure shows the co-authorship network connecting the top 25 collaborators of S. Denis. A scholar is included among the top collaborators of S. Denis 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 S. Denis. S. Denis 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.
Teixeira, Julien, et al.. (2022). Using a linear inverse heat conduction model to estimate the boundary heat flux with a material undergoing phase transformation. Applied Thermal Engineering. 219. 119406–119406. 9 indexed citations
2.
Rémy, Benjamin, Vincent Schick, David Maréchal, et al.. (2021). Inverse ARX (IARX) method for boundary specification in heat conduction problems. International Journal of Heat and Mass Transfer. 180. 121783–121783. 7 indexed citations
3.
Teixeira, Julien, et al.. (2021). Formation of residual stresses during quenching of Ti17 and Ti–6Al–4V alloys: Influence of phase transformations. Materials Science and Engineering A. 832. 142456–142456. 18 indexed citations
4.
Denand, Benoît, Vladimir A. Esin, Moukrane Dehmas, et al.. (2020). Carbon content evolution in austenite during austenitization studied by in situ synchrotron X-ray diffraction of a hypoeutectoid steel. Materialia. 10. 100664–100664. 16 indexed citations
5.
Landeghem, H.P. Van, et al.. (2018). Nitrogen-induced nanotwinning of bainitic ferrite in low-alloy steel. Scripta Materialia. 155. 63–67. 7 indexed citations
6.
Teixeira, Julien, et al.. (2018). Bainite Formation in Carbon and Nitrogen enriched Low Alloyed Steels: Kinetics and Microstructures*. HTM Journal of Heat Treatment and Materials. 73(3). 144–156. 2 indexed citations
7.
Landeghem, H.P. Van, et al.. (2015). Carbon and nitrogen effects on microstructure and kinetics associated with bainitic transformation in a low-alloyed steel. Journal of Alloys and Compounds. 658. 832–838. 25 indexed citations
8.
Teixeira, Julien, Benoît Denand, Elisabeth Aeby‐Gautier, & S. Denis. (2015). Simulation of coupled temperature, microstructure and internal stresses evolutions during quenching of a β -metastable titanium alloy. Materials Science and Engineering A. 651. 615–625. 11 indexed citations
9.
10.
Dussoubs, B., et al.. (2009). Modelling and experimental study of the deformation of steel parts during heating*. HTM Journal of Heat Treatment and Materials. 64(2). 89–93. 2 indexed citations
11.
Aeby‐Gautier, Elisabeth, et al.. (2007). Microstructural formation in Ti alloys: In-situ characterization of phase transformation kinetics. JOM. 59(1). 54–58. 44 indexed citations
12.
Archambault, Philippe S., et al.. (2006). Experimental validation of inverse heat conduction method: quenching of steels XC42 and XC80. The European Physical Journal Applied Physics. 34(3). 243–251. 3 indexed citations
13.
Géandier, Guillaume, S. Denis, Alain Hazotte, & A. Mocellin. (2004). Hertzian crack analysis in alumina–chromium composites. Journal of the European Ceramic Society. 25(7). 1119–1132. 2 indexed citations
14.
Denis, S., et al.. (2001). Bainitic transformation under stress in medium alloyed steels. Journal de Physique IV (Proceedings). 11(PR4). Pr4–181. 10 indexed citations
15.
Denis, S., et al.. (1999). Modelling of phase transformation kinetics in steels and coupling with heat treatment residual stress predictions. Journal de Physique IV (Proceedings). 9(PR9). Pr9–323. 27 indexed citations
16.
Brachet, Jean-Christophe, et al.. (1998). Modelling of phase transformations occurring in low activation martensitic steels. Journal of Nuclear Materials. 258-263. 1307–1311. 16 indexed citations
17.
Wen, Yuhua, S. Denis, Erwan Gautier, & A. Roytburd. (1996). Finite Element Modelling of Adaptive Composite. MRS Proceedings. 459. 3 indexed citations
18.
Ganghoffer, J.F., et al.. (1991). MICROMECHANICAL SIMULATION OF A MARTENSITIC TRANSFORMATION BY FINITE ELEMENTS. Journal de Physique IV (Proceedings). 1(C4). C4–77. 13 indexed citations
19.
Ganghoffer, J.F., Alain Hazotte, S. Denis, & A. Simón. (1991). Finite element calculation of internal mismatch stresses in a single crystal nickel base superalloy. Scripta Metallurgica et Materialia. 25(11). 2491–2496. 59 indexed citations
20.
Fernandes, Francisco Manuel Braz, S. Denis, & A. Simón. (1985). Mathematical model coupling phase transformation and temperature evolution during quenching of steels. Materials Science and Technology. 1(10). 838–844. 95 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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