Luca Messina

920 total citations
31 papers, 701 citations indexed

About

Luca Messina is a scholar working on Materials Chemistry, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Luca Messina has authored 31 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 12 papers in Mechanical Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Luca Messina's work include Nuclear Materials and Properties (22 papers), Fusion materials and technologies (18 papers) and Nuclear reactor physics and engineering (7 papers). Luca Messina is often cited by papers focused on Nuclear Materials and Properties (22 papers), Fusion materials and technologies (18 papers) and Nuclear reactor physics and engineering (7 papers). Luca Messina collaborates with scholars based in France, Sweden and Belgium. Luca Messina's co-authors include Pär Olsson, Maylise Nastar, Christophe Domain, Thomas Schüler, N. Castin, Nils Sandberg, L. Malerba, Mihai‐Cosmin Marinica, Charlotte Becquart and G. Bonny and has published in prestigious journals such as Physical Review B, Acta Materialia and Physical Chemistry Chemical Physics.

In The Last Decade

Luca Messina

30 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Messina France 15 582 317 131 108 79 31 701
Liam Huber Germany 10 340 0.6× 264 0.8× 90 0.7× 100 0.9× 59 0.7× 16 488
Georges Martin France 13 369 0.6× 334 1.1× 162 1.2× 139 1.3× 28 0.4× 19 584
M.I. Pascuet Argentina 14 337 0.6× 152 0.5× 65 0.5× 61 0.6× 50 0.6× 26 389
С. В. Рогожкин Russia 14 527 0.9× 180 0.6× 220 1.7× 66 0.6× 121 1.5× 92 658
J. D. Rittner United States 7 550 0.9× 280 0.9× 96 0.7× 88 0.8× 38 0.5× 7 622
В. Л. Арбузов Russia 13 447 0.8× 220 0.7× 57 0.4× 58 0.5× 41 0.5× 96 601
S. Richter Germany 15 297 0.5× 317 1.0× 70 0.5× 136 1.3× 36 0.5× 43 546
Sutatch Ratanaphan Thailand 11 418 0.7× 224 0.7× 43 0.3× 54 0.5× 71 0.9× 19 519
Valery Borovikov United States 15 443 0.8× 257 0.8× 61 0.5× 59 0.5× 20 0.3× 33 609
Samuel A. Briggs United States 13 738 1.3× 301 0.9× 70 0.5× 307 2.8× 72 0.9× 34 861

Countries citing papers authored by Luca Messina

Since Specialization
Citations

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

Fields of papers citing papers by Luca Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Messina

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Messina. A scholar is included among the top collaborators of Luca Messina 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 Luca Messina. Luca Messina 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.
Messina, Luca, et al.. (2023). Semi-supervised generative approach to chemical disorder: application to point-defect formation in uranium–plutonium mixed oxides. Physical Chemistry Chemical Physics. 25(34). 23069–23080. 2 indexed citations
2.
Martínez, Enrique, et al.. (2021). Development of a solute and defect concentration dependant Ising model for the study of transmutation induced segregation in neutron irradiated W–(Re, Os) systems. Journal of Physics Condensed Matter. 33(47). 475902–475902. 8 indexed citations
4.
Messina, Luca, et al.. (2021). Accommodation and diffusion of Nd in uranium silicide - U3Si2. Journal of Nuclear Materials. 547. 152794–152794. 1 indexed citations
5.
Messina, Luca, et al.. (2021). Solute-point defect interactions, coupled diffusion, and radiation-induced segregation in fcc nickel. Physical Review Materials. 5(1). 20 indexed citations
6.
Wróbel, Jan, D. Nguyen-Manh, Pär Olsson, et al.. (2021). Elastic dipole tensors and relaxation volumes of point defects in concentrated random magnetic Fe-Cr alloys. Computational Materials Science. 194. 110435–110435. 36 indexed citations
7.
Ma, Kan, Marie Loyer-Prost, E. Meslin, et al.. (2021). Impact of the local microstructure fluctuations on radiation-induced segregation in dilute Fe-Ni and Ni-Ti model alloys: A combined modeling and experimental analysis. Acta Materialia. 225. 117531–117531. 6 indexed citations
8.
Castin, N., G. Bonny, A. Bakaev, et al.. (2020). The dominant mechanisms for the formation of solute-rich clusters in low-Cu steels under irradiation. Materials Today Energy. 17. 100472–100472. 43 indexed citations
9.
Messina, Luca, Alexandra M. Goryaeva, Mihai‐Cosmin Marinica, et al.. (2020). A DFT-driven multifidelity framework for constructing efficient energy models for atomic-scale simulations. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 483. 15–21. 5 indexed citations
10.
Messina, Luca, Thomas Schüler, Maylise Nastar, Mihai‐Cosmin Marinica, & Pär Olsson. (2020). Solute diffusion by self-interstitial defects and radiation-induced segregation in ferritic Fe–X (X=Cr, Cu, Mn, Ni, P, Si) dilute alloys. Acta Materialia. 191. 166–185. 87 indexed citations
11.
Castin, N., G. Bonny, A. Bakaev, et al.. (2019). The Dominating Mechanisms for the Formation of Solute-Rich Clusters in Steels under Irradiation. SSRN Electronic Journal. 3 indexed citations
12.
Schüler, Thomas, Luca Messina, & Maylise Nastar. (2019). KineCluE: A kinetic cluster expansion code to compute transport coefficients beyond the dilute limit. Computational Materials Science. 172. 109191–109191. 46 indexed citations
13.
Castin, N., Luca Messina, Christophe Domain, R.C. Pasianot, & Pär Olsson. (2017). Improved atomistic Monte Carlo models based onab-initio-trained neural networks: Application to FeCu and FeCr alloys. Physical review. B.. 95(21). 26 indexed citations
14.
Messina, Luca, N. Castin, Christophe Domain, & Pär Olsson. (2017). Introducingab initiobased neural networks for transition-rate prediction in kinetic Monte Carlo simulations. Physical review. B.. 95(6). 18 indexed citations
15.
Messina, Luca, et al.. (2016). An object kinetic Monte Carlo model for the microstructure evolution of neutron‐irradiated reactor pressure vessel steels. physica status solidi (a). 213(11). 2974–2980. 15 indexed citations
16.
Messina, Luca, Maylise Nastar, Nils Sandberg, & Pär Olsson. (2016). Systematic electronic-structure investigation of substitutional impurity diffusion and flux coupling in bcc iron. Physical review. B.. 93(18). 83 indexed citations
17.
Messina, Luca. (2015). Multiscale modeling of atomic transport phenomena in ferritic steels. KTH Publication Database DiVA (KTH Royal Institute of Technology). 13 indexed citations
18.
Messina, Luca, et al.. (2014). Exactab initiotransport coefficients in bccFeX(X=Cr,Cu,Mn,Ni,P,Si) dilute alloys. Physical Review B. 90(10). 139 indexed citations
19.
Messina, Luca, et al.. (2013). Ab initio modelling of vacancy–solute dragging in dilute irradiated iron-based alloys. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 303. 28–32. 20 indexed citations
20.
Messina, Luca. (2010). Monte Carlo simulation for the prediction of gamma-induced damage in metals. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3 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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