Rémi Dingreville

3.7k total citations · 1 hit paper
134 papers, 2.8k citations indexed

About

Rémi Dingreville is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Rémi Dingreville has authored 134 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Materials Chemistry, 30 papers in Mechanics of Materials and 26 papers in Mechanical Engineering. Recurrent topics in Rémi Dingreville's work include Microstructure and mechanical properties (39 papers), Fusion materials and technologies (21 papers) and Nuclear Materials and Properties (18 papers). Rémi Dingreville is often cited by papers focused on Microstructure and mechanical properties (39 papers), Fusion materials and technologies (21 papers) and Nuclear Materials and Properties (18 papers). Rémi Dingreville collaborates with scholars based in United States, France and Canada. Rémi Dingreville's co-authors include J QU, Jianmin Qu, James A. Stewart, Brad Boyce, David Montes de Oca Zapiain, Chongze Hu, Stéphane Berbenni, Douglas E. Spearot, Chaitanya Deo and Laurent Capolungo and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Rémi Dingreville

124 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surface free energy and its effect on the elastic behavior of nano-sized particles, wires and films

2005 612 citations Rémi Dingreville et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rémi Dingreville United States	25	1.9k	894	779	317	304	134	2.8k
Jaroslaw Knap United States	27	1.4k 0.7×	991 1.1×	749 1.0×	161 0.5×	561 1.8×	76	2.6k
D. Weygand Germany	31	3.0k 1.6×	1.4k 1.6×	1.6k 2.1×	302 1.0×	170 0.6×	91	3.5k
E.M. Lauridsen Denmark	30	2.0k 1.1×	834 0.9×	1.6k 2.1×	419 1.3×	158 0.5×	95	3.2k
Claire Maurice France	28	1.3k 0.7×	713 0.8×	1.1k 1.4×	310 1.0×	239 0.8×	89	2.1k
J. M. Rickman United States	30	2.0k 1.1×	445 0.5×	1.2k 1.5×	328 1.0×	477 1.6×	132	3.1k
Haofei Zhou China	30	2.1k 1.1×	776 0.9×	2.3k 3.0×	393 1.2×	213 0.7×	109	3.3k
Xiang-Yang Liu United States	30	1.9k 1.0×	530 0.6×	935 1.2×	113 0.4×	225 0.7×	88	2.5k
Elena A. Korznikova Russia	34	2.1k 1.1×	440 0.5×	1.2k 1.6×	281 0.9×	273 0.9×	206	3.3k
David J. Rowenhorst United States	24	851 0.5×	356 0.4×	967 1.2×	226 0.7×	250 0.8×	56	1.8k
Peter Hähner Netherlands	32	1.8k 1.0×	1.2k 1.3×	1.6k 2.0×	405 1.3×	122 0.4×	116	3.0k

Countries citing papers authored by Rémi Dingreville

Since Specialization

Citations

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

Fields of papers citing papers by Rémi Dingreville

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Dingreville

This figure shows the co-authorship network connecting the top 25 collaborators of Rémi Dingreville. A scholar is included among the top collaborators of Rémi Dingreville 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 Rémi Dingreville. Rémi Dingreville is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Medlin, Douglas L., et al.. (2025). Atomic-scale arrangement of dislocations at grain-boundary facet junctions. Acta Materialia. 292. 121068–121068.

Desai, Saaketh, Manish Jain, David P. Adams, et al.. (2024). Navigating high-dimensional process-structure–property relations in nanocrystalline Pt-Au alloys with machine learning. Materials & Design. 248. 113494–113494. 5 indexed citations

Adams, David P., Sadhvikas Addamane, Manish Jain, et al.. (2024). Guided combinatorial synthesis and automated characterization expedites the discovery of hard, electrically conductive PtxAu1−x films. Journal of Vacuum Science & Technology A Vacuum Surfaces and Films. 42(5). 5 indexed citations

Oommen, Vivek, Khemraj Shukla, Saaketh Desai, Rémi Dingreville, & George Em Karniadakis. (2024). Rethinking materials simulations: Blending direct numerical simulations with neural operators. npj Computational Materials. 10(1). 21 indexed citations

Qu, Jianmin, et al.. (2023). Electrochemically induced fracture in LLZO: How the interplay between flaw density and electrostatic potential affects operability. Journal of Power Sources. 559. 232646–232646. 12 indexed citations

Yang, Yang, Mark W. Meisel, Michele V. Manuel, et al.. (2023). Tuning the magnetic properties of the CrMnFeCoNi Cantor alloy. Physical review. B.. 108(9). 1 indexed citations

Boyce, Brad, Rémi Dingreville, Saaketh Desai, et al.. (2023). Machine learning for materials science: Barriers to broader adoption. Matter. 6(5). 1320–1323. 12 indexed citations

Stewart, James A., et al.. (2023). A molecular dynamics study on the Mie-Grüneisen equation-of-state and high strain-rate behavior of equiatomic CoCrFeMnNi. Materials Research Letters. 11(12). 1055–1062. 7 indexed citations

Babuska, Tomas F., et al.. (2023). Sputter-Deposited Mo Thin Films: Multimodal Characterization of Structure, Surface Morphology, Density, Residual Stress, Electrical Resistivity, and Mechanical Response. Integrating materials and manufacturing innovation. 12(2). 118–129. 4 indexed citations

10.

Shin, Dongil, Ryan Alberdi, Ricardo A. Lebensohn, & Rémi Dingreville. (2023). Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy. npj Computational Materials. 9(1). 9 indexed citations

11.

Boyce, Brad, et al.. (2022). The heterogeneous nature of mechanically accelerated grain growth. Journal of Materials Science. 57(47). 21743–21755. 4 indexed citations

12.

Oommen, Vivek, Khemraj Shukla, Somdatta Goswami, Rémi Dingreville, & George Em Karniadakis. (2022). Learning two-phase microstructure evolution using neural operators and autoencoder architectures. npj Computational Materials. 8(1). 101 indexed citations

13.

Burghardt, Keith, et al.. (2022). Inferring topological transitions in pattern-forming processes with self-supervised learning. npj Computational Materials. 8(1). 10 indexed citations

14.

Dingreville, Rémi, et al.. (2021). An electronic origin to the oscillatory segregation behavior in Ni-Cr and other BCC defects in FCC metals. Acta Materialia. 218. 117215–117215. 9 indexed citations

15.

Deo, Chaitanya, et al.. (2021). Vacancy surface migration mechanisms in dilute nickel-chromium alloys. Scripta Materialia. 202. 113998–113998. 9 indexed citations

16.

Zapiain, David Montes de Oca, et al.. (2020). Characterizing the Tensile Strength of Metastable Grain Boundaries in Silicon Carbide Using Machine Learning. The Journal of Physical Chemistry C. 124(45). 24809–24821. 17 indexed citations

17.

Stewart, James A., Normand A. Modine, & Rémi Dingreville. (2020). Re-examining the silicon self-interstitial charge states and defect levels: A density functional theory and bounds analysis study. AIP Advances. 10(9). 3 indexed citations

18.

Deo, Chaitanya, et al.. (2019). Irradiation resistance of nanostructured interfaces in Zr–Nb metallic multilayers. Journal of materials research/Pratt's guide to venture capital sources. 34(13). 2239–2251. 22 indexed citations

19.

Briot, N., et al.. (2019). In situ TEM investigation of self-ion irradiation of nanoporous gold. Journal of Materials Science. 54(9). 7271–7287. 19 indexed citations

20.

Deo, Chaitanya, et al.. (2019). Scaling laws and stability of nano-sized defect clusters in niobium via atomistic simulations and statistical analysis. Journal of Materials Science. 54(22). 14002–14028. 5 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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