M.I. Pascuet

490 total citations
26 papers, 389 citations indexed

About

M.I. Pascuet is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, M.I. Pascuet has authored 26 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 15 papers in Mechanical Engineering and 4 papers in Biomedical Engineering. Recurrent topics in M.I. Pascuet's work include Nuclear Materials and Properties (18 papers), Fusion materials and technologies (17 papers) and High Temperature Alloys and Creep (9 papers). M.I. Pascuet is often cited by papers focused on Nuclear Materials and Properties (18 papers), Fusion materials and technologies (17 papers) and High Temperature Alloys and Creep (9 papers). M.I. Pascuet collaborates with scholars based in Argentina, Belgium and France. M.I. Pascuet's co-authors include N. Castin, L. Malerba, J.R. Fernández, G. Bonny, José R. Fernández, R.C. Pasianot, Ghiath Monnet, A. M. Monti, Enrique Martínez and C.S. Becquart and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Materials Science and Journal of Nuclear Materials.

In The Last Decade

M.I. Pascuet

26 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.I. Pascuet Argentina 14 337 152 65 61 50 26 389
Liam Huber Germany 10 340 1.0× 264 1.7× 90 1.4× 100 1.6× 59 1.2× 16 488
N. Sandberg Sweden 8 289 0.9× 142 0.9× 24 0.4× 42 0.7× 48 1.0× 10 354
D. A. Crowson United States 8 466 1.4× 159 1.0× 49 0.8× 32 0.5× 28 0.6× 10 533
А. Г. Липницкий Russia 13 327 1.0× 198 1.3× 35 0.5× 39 0.6× 26 0.5× 56 430
Monika Všianská Czechia 12 336 1.0× 314 2.1× 32 0.5× 57 0.9× 55 1.1× 28 467
А. Р. Кузнецов Russia 14 308 0.9× 308 2.0× 51 0.8× 64 1.0× 29 0.6× 43 438
Luca Messina France 15 582 1.7× 317 2.1× 131 2.0× 108 1.8× 79 1.6× 31 701
I. M. Neklyudov Ukraine 9 293 0.9× 134 0.9× 38 0.6× 45 0.7× 35 0.7× 63 380
Bassem El Dasher United States 4 311 0.9× 181 1.2× 21 0.3× 50 0.8× 35 0.7× 5 376
Jeff Houze United States 5 374 1.1× 259 1.7× 33 0.5× 77 1.3× 21 0.4× 8 488

Countries citing papers authored by M.I. Pascuet

Since Specialization
Citations

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

Fields of papers citing papers by M.I. Pascuet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.I. Pascuet. 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 M.I. Pascuet. The network helps show where M.I. Pascuet may publish in the future.

Co-authorship network of co-authors of M.I. Pascuet

This figure shows the co-authorship network connecting the top 25 collaborators of M.I. Pascuet. A scholar is included among the top collaborators of M.I. Pascuet 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 M.I. Pascuet. M.I. Pascuet 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.
Konstantinović, M.J., et al.. (2024). How precisely are solute clusters in RPV steels characterized by atom probe experiments?. Journal of Nuclear Materials. 603. 155412–155412. 1 indexed citations
2.
Pascuet, M.I., J.R. Fernández, N. Castin, & G. Bonny. (2023). The strong hardening effect of Re segregation on edge dislocation lines in W. Computational Materials Science. 227. 112267–112267. 1 indexed citations
3.
Konstantinović, M.J., A. Bakaev, F. Bergner, et al.. (2022). Multiscale modelling in nuclear ferritic steels: From nano-sized defects to embrittlement. Materials Today Physics. 27. 100802–100802. 15 indexed citations
4.
Pascuet, M.I., G. Bonny, Ghiath Monnet, & L. Malerba. (2020). The effect on the mechanical response of Cr and Ni segregation on dislocation lines in bcc Fe. Journal of Nuclear Materials. 539. 152319–152319. 7 indexed citations
5.
Pascuet, M.I., et al.. (2020). The influence of grain size on the hydrogen diffusion in bcc Fe. Computational Materials Science. 188. 110146–110146. 14 indexed citations
6.
Pascuet, M.I., et al.. (2019). Solute precipitation on a screw dislocation and its effects on dislocation mobility in bcc Fe. Journal of Nuclear Materials. 519. 265–273. 28 indexed citations
7.
Pascuet, M.I., Enrique Martínez, Ghiath Monnet, & L. Malerba. (2017). Solute effects on edge dislocation pinning in complex alpha-Fe alloys. Journal of Nuclear Materials. 494. 311–321. 28 indexed citations
8.
Bonny, G., et al.. (2017). Exact mean field concept to compute defect energetics in random alloys on rigid lattices. Physica B Condensed Matter. 517. 25–29. 2 indexed citations
9.
Bonny, G., N. Castin, Christophe Domain, et al.. (2016). Density functional theory-based cluster expansion to simulate thermal annealing in FeCrW alloys. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 97(5). 299–317. 9 indexed citations
10.
Pascuet, M.I., et al.. (2015). Mobility of U Solutes in fcc Al: A Theoretical Model. Procedia Materials Science. 8. 451–460. 1 indexed citations
11.
Pascuet, M.I. & J.R. Fernández. (2015). Atomic interaction of the MEAM type for the study of intermetallics in the Al–U alloy. Journal of Nuclear Materials. 467. 229–239. 42 indexed citations
12.
Fernández, José R. & M.I. Pascuet. (2014). On the accurate description of uranium metallic phases: a MEAM interatomic potential approach. Modelling and Simulation in Materials Science and Engineering. 22(5). 55019–55019. 33 indexed citations
13.
Pascuet, M.I., G. Bonny, & J.R. Fernández. (2012). Many-body interatomic U and Al–U potentials. Journal of Nuclear Materials. 424(1-3). 158–163. 29 indexed citations
14.
15.
Castin, N., M.I. Pascuet, & L. Malerba. (2011). Modeling the first stages of Cu precipitation in α-Fe using a hybrid atomistic kinetic Monte Carlo approach. The Journal of Chemical Physics. 135(6). 64502–64502. 38 indexed citations
16.
Pascuet, M.I., et al.. (2011). Point defect properties in the vicinity of an Al/U interface. Physica B Condensed Matter. 407(16). 3295–3297. 2 indexed citations
17.
Castin, N., L. Malerba, G. Bonny, M.I. Pascuet, & M. Hou. (2009). Modelling radiation-induced phase changes in binary FeCu and ternary FeCuNi alloys using an artificial intelligence-based atomistic kinetic Monte Carlo approach. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 267(18). 3002–3008. 18 indexed citations
18.
Pascuet, M.I., J.R. Fernández, & A. M. Monti. (2008). Diffusion in the AlMo<sub>3</sub> Ordered Intermetallic. Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum. 272. 51–60. 1 indexed citations
19.
Pascuet, M.I., R.C. Pasianot, & A. M. Monti. (2001). Computer simulation of surface-point defects interaction in hcp metals. Journal of Molecular Catalysis A Chemical. 167(1-2). 165–170. 21 indexed citations
20.
Pascuet, M.I., et al.. (1998). The angular dependence of the energy loss for high energy H+-ions transmitted through thin al films. Radiation effects and defects in solids. 145(3). 179–190. 1 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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