M. Warrier

688 total citations
71 papers, 525 citations indexed

About

M. Warrier is a scholar working on Materials Chemistry, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, M. Warrier has authored 71 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Materials Chemistry, 14 papers in Computational Mechanics and 13 papers in Mechanics of Materials. Recurrent topics in M. Warrier's work include Fusion materials and technologies (26 papers), Nuclear Materials and Properties (18 papers) and High-Velocity Impact and Material Behavior (13 papers). M. Warrier is often cited by papers focused on Fusion materials and technologies (26 papers), Nuclear Materials and Properties (18 papers) and High-Velocity Impact and Material Behavior (13 papers). M. Warrier collaborates with scholars based in India, Germany and Finland. M. Warrier's co-authors include R. Schneider, Shashank Chaturvedi, X. Bonnin, K. Nordlund, Vivek Chavan, E. Salonen, M. C. Valsakumar, Andrea E. Sand, A. Mutzke and D. Coster and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Computational Physics.

In The Last Decade

M. Warrier

68 papers receiving 494 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. Warrier India 15 441 105 99 87 76 71 525
D. J. Hepburn United Kingdom 10 367 0.8× 69 0.7× 216 2.2× 143 1.6× 33 0.4× 13 619
Arimichi Takayama Japan 13 521 1.2× 109 1.0× 70 0.7× 161 1.9× 185 2.4× 41 627
M. Yamagiwa Japan 8 440 1.0× 138 1.3× 82 0.8× 126 1.4× 168 2.2× 11 531
Т. V. Kulevoy Russia 12 225 0.5× 75 0.7× 39 0.4× 60 0.7× 90 1.2× 96 408
Wataru Sakaguchi Japan 9 781 1.8× 198 1.9× 142 1.4× 141 1.6× 244 3.2× 17 869
Carl J. Martin United States 11 165 0.4× 38 0.4× 52 0.5× 91 1.0× 33 0.4× 37 376
G.M. Wright United States 12 641 1.5× 208 2.0× 87 0.9× 175 2.0× 210 2.8× 26 731
A. Lasa United States 12 453 1.0× 106 1.0× 43 0.4× 158 1.8× 142 1.9× 36 504
K. R. Umstadter United States 11 277 0.6× 91 0.9× 44 0.4× 143 1.6× 46 0.6× 34 391
Y. Ohtsuka Japan 16 614 1.4× 159 1.5× 124 1.3× 149 1.7× 167 2.2× 60 809

Countries citing papers authored by M. Warrier

Since Specialization
Citations

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

Fields of papers citing papers by M. Warrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Warrier

This figure shows the co-authorship network connecting the top 25 collaborators of M. Warrier. A scholar is included among the top collaborators of M. Warrier 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. Warrier. M. Warrier 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.
Mishra, Vinayak, et al.. (2025). A robust machine learned interatomic potential for Nb: collision cascade simulations with accurate non-equilibrium properties. Modelling and Simulation in Materials Science and Engineering. 33(7). 75001–75001.
2.
Mishra, Vinayak, et al.. (2023). On the relationship between shock and particle velocities in single and bicrystal systems of Aluminum: A molecular dynamics study. Materials Today Proceedings. 87. 204–209. 1 indexed citations
3.
Mehra, Vishal, et al.. (2023). Computational and experimental studies of penetration resistance of Ceramic-Metal composites. Materials Today Proceedings. 87. 257–262. 2 indexed citations
4.
Warrier, M., et al.. (2023). Molecular dynamics simulations of the decomposition and Us–Up relationship of RDX molecular crystal subjected to high velocity impact. Journal of Molecular Modeling. 29(2). 50–50. 3 indexed citations
5.
Mehra, Vishal, et al.. (2023). Computational modeling of composite armour and effect of CNT inclusion using orthotropic material model. Materials Today Proceedings. 87. 228–234. 1 indexed citations
6.
Warrier, M., et al.. (2023). Spall fracture in aluminum bicrystals: Molecular dynamics study. Materials Today Proceedings. 87. 164–169. 2 indexed citations
7.
Sand, Andrea E., et al.. (2021). Comparison of SIA defect morphologies from different interatomic potentials for collision cascades in W. Modelling and Simulation in Materials Science and Engineering. 29(6). 65015–65015. 4 indexed citations
8.
Sand, Andrea E., et al.. (2019). Classification of clusters in collision cascades. Computational Materials Science. 172. 109364–109364. 8 indexed citations
9.
Warrier, M., et al.. (2018). Simulating the unimolecular decomposition pathways of cyclotrimethylnitramine (RDX). Journal of Molecular Modeling. 24(6). 134–134. 3 indexed citations
10.
Warrier, M., et al.. (2017). 分子動力学におけるbccおよびfcc結晶の自己格子間原子の同定【Powered by NICT】. Journal of Nuclear Materials. 484. 269. 1 indexed citations
11.
Warrier, M., et al.. (2015). Molecular dynamics analysis of the transient temperature increase at void locations in shocked materials: RDX and Cu. Journal of Molecular Modeling. 21(8). 192–192. 5 indexed citations
12.
Warrier, M., et al.. (2014). Voxel based parallel post processor for void nucleation and growth analysis of atomistic simulations of material fracture. Journal of Molecular Graphics and Modelling. 50. 134–141. 14 indexed citations
13.
Warrier, M. & M. C. Valsakumar. (2014). Study of Molecular Dynamics Collision Cascades in 1000 Random Directions in Crystal Fe(90%)Cr(10%) in the Energy Range 0.1 to 5 KeV. Fusion Science & Technology. 65(2). 229–234. 9 indexed citations
14.
Chavan, Vivek, et al.. (2013). Activation of slip systems and shape changes during deformation of single crystal copper: A molecular dynamics study. AIP conference proceedings. 84–85. 2 indexed citations
15.
Sang, Chaofeng, X. Bonnin, M. Warrier, et al.. (2012). Modelling of hydrogen isotope inventory in mixed materials including porous deposited layers in fusion devices. Nuclear Fusion. 52(4). 43003–43003. 31 indexed citations
16.
Warrier, M., et al.. (2010). Determination of useful parameter space for a double-walled carbon nanotube based motor subjected to a sinusoidally varying electric field. Computational Materials Science. 50(2). 761–770. 4 indexed citations
17.
Warrier, M., et al.. (2008). Molecular Dynamics Simulation of Carbon Nanotubes Interacting with a Graphite Surface. Journal of Computational and Theoretical Nanoscience. 5(3). 348–353. 1 indexed citations
18.
Schneider, R., et al.. (2007). Dynamic Monte-Carlo modeling of hydrogen isotope reactive–diffusive transport in porous graphite. Journal of Nuclear Materials. 367-370. 1238–1242. 13 indexed citations
19.
Warrier, M., X. Bonnin, R. Schneider, & D. Coster. (2003). Improved plasma-wall interaction model for B2-solps5.0. Max Planck Digital Library. 22(12). 44–5. 1 indexed citations
20.
Kaw, Predhiman, et al.. (2001). One-dimensional model of detached plasmas in the scrape-off layer of a divertor tokamak. Physics of Plasmas. 8(3). 857–870. 15 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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