Marc Bernacki‫

5.9k total citations
123 papers, 3.1k citations indexed

About

Marc Bernacki‫ is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Marc Bernacki‫ has authored 123 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Mechanics of Materials, 78 papers in Mechanical Engineering and 62 papers in Materials Chemistry. Recurrent topics in Marc Bernacki‫'s work include Metallurgy and Material Forming (74 papers), Microstructure and mechanical properties (47 papers) and Metal Forming Simulation Techniques (37 papers). Marc Bernacki‫ is often cited by papers focused on Metallurgy and Material Forming (74 papers), Microstructure and mechanical properties (47 papers) and Metal Forming Simulation Techniques (37 papers). Marc Bernacki‫ collaborates with scholars based in France, United States and Germany. Marc Bernacki‫'s co-authors include Nathalie Bozzolo, Roland E. Logé, Pierre-Olivier Bouchard, Thierry Coupez, Charbel Moussa, Modesar Shakoor, Rémy Besnard, Brian Lin, Gregory S. Rohrer and Daniel Pino Muñoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Progress in Materials Science.

In The Last Decade

Marc Bernacki‫

119 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Bernacki‫ France 32 2.0k 1.6k 1.6k 711 232 123 3.1k
Jean‐Charles Stinville United States 37 2.5k 1.2× 1.9k 1.2× 1.8k 1.1× 546 0.8× 122 0.5× 91 3.7k
Liang Zhang China 30 1.7k 0.8× 1.6k 1.0× 607 0.4× 672 0.9× 229 1.0× 201 2.8k
Michael A. Groeber United States 24 1.8k 0.9× 1.6k 1.0× 1.2k 0.7× 245 0.3× 192 0.8× 72 3.1k
McLean P. Echlin United States 31 1.6k 0.8× 1.4k 0.8× 926 0.6× 227 0.3× 173 0.7× 92 2.8k
Zhixun Wen China 31 2.8k 1.4× 955 0.6× 1.4k 0.9× 1.1k 1.6× 402 1.7× 215 3.6k
Jarir Aktaa Germany 34 2.0k 1.0× 2.5k 1.5× 833 0.5× 1.0k 1.5× 155 0.7× 192 3.6k
Curt A. Bronkhorst United States 33 2.3k 1.1× 2.7k 1.7× 2.0k 1.2× 225 0.3× 190 0.8× 90 3.8k
K.N. Solanki United States 36 2.4k 1.2× 2.4k 1.5× 1.0k 0.6× 581 0.8× 200 0.9× 143 4.0k
Rémi Dingreville United States 25 779 0.4× 1.9k 1.1× 894 0.6× 272 0.4× 225 1.0× 134 2.8k
Fuguo Li China 37 2.9k 1.4× 2.6k 1.6× 2.2k 1.4× 671 0.9× 46 0.2× 240 4.1k

Countries citing papers authored by Marc Bernacki‫

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bernacki‫

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Bernacki‫

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Bernacki‫. A scholar is included among the top collaborators of Marc Bernacki‫ 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 Marc Bernacki‫. Marc Bernacki‫ 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.
Bernacki‫, Marc, et al.. (2025). Statically recrystallized grain size as a function of prior stored energy level in the A-286 Fe-based superalloy. Materialia. 39. 102361–102361. 1 indexed citations
2.
Bernacki‫, Marc, et al.. (2024). High-fidelity level-set modeling of diffusive solid-state phase transformations for polycrystalline materials. Computational Materials Science. 243. 113142–113142. 2 indexed citations
3.
Ryan, A. J., B. Rozitis, Daniel Pino Muñoz, et al.. (2024). Rocks with Extremely Low Thermal Inertia at the OSIRIS-REx Sample Site on Asteroid Bennu. The Planetary Science Journal. 5(4). 92–92. 5 indexed citations
4.
Desbief, Simon, et al.. (2024). Study of curtaining effect reduction methods in Inconel 718 using a plasma focused ion beam. Journal of Microscopy. 295(3). 287–299. 2 indexed citations
5.
Bozzolo, Nathalie, et al.. (2023). Comparison of Grain-Growth Mean-Field Models Regarding Predicted Grain Size Distributions. Materials. 16(20). 6761–6761. 3 indexed citations
6.
7.
Ryan, A. J., Daniel Pino Muñoz, Marc Bernacki‫, et al.. (2022). Full‐Field Modeling of Heat Transfer in Asteroid Regolith: 2. Effects of Porosity. Journal of Geophysical Research Planets. 127(6). 12 indexed citations
8.
Bozzolo, Nathalie, et al.. (2022). Level-Set Modeling of Grain Growth in 316L Stainless Steel under Different Assumptions Regarding Grain Boundary Properties. Materials. 15(7). 2434–2434. 6 indexed citations
9.
Locq, Didier, et al.. (2021). Dissolution of the Primary γ′ Precipitates and Grain Growth during Solution Treatment of Three Nickel Base Superalloys. Metals. 11(12). 1921–1921. 22 indexed citations
10.
Bernacki‫, Marc, et al.. (2021). A new front-tracking Lagrangian model for the modeling of dynamic and post-dynamic recrystallization. Modelling and Simulation in Materials Science and Engineering. 29(3). 35004–35004. 3 indexed citations
11.
Bozzolo, Nathalie, et al.. (2021). A level set approach to simulate grain growth with an evolving population of second phase particles. Modelling and Simulation in Materials Science and Engineering. 29(3). 35009–35009. 9 indexed citations
12.
Carlan, Y. de, et al.. (2020). Probabilistic and deterministic full field approaches to simulate recrystallization in ODS steels. Computational Materials Science. 179. 109646–109646. 9 indexed citations
13.
Bozzolo, Nathalie, et al.. (2020). A new analytical test case for anisotropic grain growth problems. Applied Mathematical Modelling. 93. 28–52. 5 indexed citations
14.
Ryan, A. J., B. Rozitis, P. R. Christensen, et al.. (2019). Physical Interpretation of Bennu's Thermal Inertia. 2019. 1 indexed citations
15.
Bernacki‫, Marc, et al.. (2018). A new topological approach for the mean field modeling of dynamic recrystallization. Materials & Design. 146. 194–207. 20 indexed citations
16.
Moussa, Charbel, et al.. (2017). Modeling of dynamic and post-dynamic recrystallization by coupling a full field approach to phenomenological laws. Materials & Design. 133. 498–519. 50 indexed citations
17.
Bernacki‫, Marc, Andrea Agnoli, Brian Lin, et al.. (2015). Evolution of the Annealing Twin Density during δ-Supersolvus Grain Growth in the Nickel-Based Superalloy Inconel™ 718. Metals. 6(1). 5–5. 32 indexed citations
18.
Bernacki‫, Marc, et al.. (2014). Recent and future developments in finite element metal forming simulation. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
19.
Bernacki‫, Marc, et al.. (2012). Optimized Dropping and Rolling (ODR) method for packing of poly-disperse spheres. Applied Mathematical Modelling. 37(8). 5715–5722. 42 indexed citations
20.
Logé, Roland E., et al.. (2010). Modelling of plastic deformation and recrystallization of polycrystals using digital microstructures and adaptive meshing techniques. HAL (Le Centre pour la Communication Scientifique Directe). 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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