M.A.N. Dewapriya

1.0k total citations
30 papers, 828 citations indexed

About

M.A.N. Dewapriya is a scholar working on Materials Chemistry, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, M.A.N. Dewapriya has authored 30 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 14 papers in Mechanics of Materials and 6 papers in Computational Mechanics. Recurrent topics in M.A.N. Dewapriya's work include Graphene research and applications (14 papers), Carbon Nanotubes in Composites (8 papers) and High-Velocity Impact and Material Behavior (8 papers). M.A.N. Dewapriya is often cited by papers focused on Graphene research and applications (14 papers), Carbon Nanotubes in Composites (8 papers) and High-Velocity Impact and Material Behavior (8 papers). M.A.N. Dewapriya collaborates with scholars based in Canada, Sri Lanka and United States. M.A.N. Dewapriya's co-authors include R. K. N. D. Rajapakse, S. A. Meguid, Ronald E. Miller, A. Srikantha Phani, A. Alian, W. P. S. Dias, Nilima Nigam, John W. Gillespie, Joseph M. Deitzel and Sanjib C. Chowdhury and has published in prestigious journals such as Journal of Applied Physics, Carbon and Polymer.

In The Last Decade

M.A.N. Dewapriya

29 papers receiving 817 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.A.N. Dewapriya Canada 16 693 221 147 131 86 30 828
Nicolas Horny France 16 328 0.5× 211 1.0× 102 0.7× 97 0.7× 108 1.3× 42 573
Jian Yi China 16 363 0.5× 113 0.5× 86 0.6× 186 1.4× 40 0.5× 38 583
Yafeng Zhang China 15 164 0.2× 219 1.0× 107 0.7× 197 1.5× 74 0.9× 36 450
Shizhen Zhu China 19 445 0.6× 169 0.8× 39 0.3× 362 2.8× 65 0.8× 54 776
Cheng Deng China 16 512 0.7× 129 0.6× 86 0.6× 208 1.6× 33 0.4× 29 763
Huicong Dong China 13 408 0.6× 122 0.6× 63 0.4× 231 1.8× 57 0.7× 35 602
Fernand Marquis United States 9 229 0.3× 136 0.6× 137 0.9× 255 1.9× 24 0.3× 31 492
Kailu Xiao China 12 202 0.3× 112 0.5× 66 0.4× 113 0.9× 54 0.6× 31 342
Duckjong Kim South Korea 12 318 0.5× 59 0.3× 159 1.1× 220 1.7× 60 0.7× 22 623

Countries citing papers authored by M.A.N. Dewapriya

Since Specialization
Citations

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

Fields of papers citing papers by M.A.N. Dewapriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A.N. Dewapriya

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.N. Dewapriya. A scholar is included among the top collaborators of M.A.N. Dewapriya 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.A.N. Dewapriya. M.A.N. Dewapriya 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.
Dewapriya, M.A.N., John W. Gillespie, & Joseph M. Deitzel. (2025). Exploring the effects of temperature, transverse pressure, and strain rate on axial tensile behavior of perfect UHMWPE crystals using molecular dynamics. Composites Part B Engineering. 294. 112160–112160. 1 indexed citations
2.
Dewapriya, M.A.N., John W. Gillespie, & Joseph M. Deitzel. (2024). Molecular dynamics study of axial tensile response of crystalline ultra-high molecular weight polyethylene under different loading conditions. Polymer. 311. 127564–127564. 3 indexed citations
3.
Dewapriya, M.A.N., Sanjib C. Chowdhury, Joseph M. Deitzel, & John W. Gillespie. (2024). Strain rate effects on the axial tensile behavior of crystalline polyethylene: Insights from molecular dynamics simulations. Polymer. 295. 126779–126779. 7 indexed citations
4.
Dewapriya, M.A.N., et al.. (2024). Developing Mode I cohesive traction laws for crystalline Ultra-high molecular weight polyethylene interphases using molecular dynamics simulations. Computational Materials Science. 247. 113552–113552. 1 indexed citations
5.
Dewapriya, M.A.N., R. K. N. D. Rajapakse, & W. P. S. Dias. (2023). Uncovering stress fields and defects distributions in graphene using deep neural networks. International Journal of Fracture. 242(1). 107–127. 4 indexed citations
6.
7.
Dewapriya, M.A.N. & Ronald E. Miller. (2022). Molecular dynamics study on the shock induced spallation of polyethylene. Journal of Applied Physics. 131(2). 14 indexed citations
8.
Dewapriya, M.A.N. & Ronald E. Miller. (2021). Molecular-level investigation on the spallation of polyurea. MRS Communications. 11(4). 532–538. 5 indexed citations
9.
Dewapriya, M.A.N. & Ronald E. Miller. (2021). Molecular dynamics study of the penetration resistance of multilayer polymer/ceramic nanocomposites under supersonic projectile impacts. Extreme Mechanics Letters. 44. 101238–101238. 30 indexed citations
10.
Dewapriya, M.A.N. & Ronald E. Miller. (2021). Quantum and classical molecular dynamics simulations of shocked polyurea and polyurethane. Computational Materials Science. 203. 111166–111166. 15 indexed citations
11.
Dewapriya, M.A.N. & Ronald E. Miller. (2020). Molecular dynamics study of the mechanical behaviour of ultrathin polymer–metal multilayers under extreme dynamic conditions. Computational Materials Science. 184. 109951–109951. 20 indexed citations
12.
Dewapriya, M.A.N. & Ronald E. Miller. (2020). Superior Dynamic Penetration Resistance of Nanoscale Multilayer Polymer/Metal Films. Journal of Applied Mechanics. 87(12). 17 indexed citations
13.
Dewapriya, M.A.N. & R. K. N. D. Rajapakse. (2018). Atomistic and continuum modelling of stress field at an inhomogeneity in graphene. Materials & Design. 160. 718–730. 6 indexed citations
14.
Alian, A., M.A.N. Dewapriya, & S. A. Meguid. (2017). Molecular dynamics study of the reinforcement effect of graphene in multilayered polymer nanocomposites. Materials & Design. 124. 47–57. 81 indexed citations
15.
Dewapriya, M.A.N. & S. A. Meguid. (2017). Tailoring fracture strength of graphene. Computational Materials Science. 141. 114–121. 32 indexed citations
16.
Dewapriya, M.A.N. & S. A. Meguid. (2017). Atomistic modeling of out-of-plane deformation of a propagating Griffith crack in graphene. Acta Mechanica. 228(9). 3063–3075. 25 indexed citations
17.
Dewapriya, M.A.N., R. K. N. D. Rajapakse, & Nilima Nigam. (2015). Influence of hydrogen functionalization on the fracture strength of graphene and the interfacial properties of graphene–polymer nanocomposite. Carbon. 93. 830–842. 39 indexed citations
18.
Dewapriya, M.A.N. & R. K. N. D. Rajapakse. (2014). Effects of free edges and vacancy defects on the mechanical properties of graphene. 908–912. 9 indexed citations
19.
Dewapriya, M.A.N., R. K. N. D. Rajapakse, & A. Srikantha Phani. (2014). Atomistic and continuum modelling of temperature-dependent fracture of graphene. International Journal of Fracture. 187(2). 199–212. 102 indexed citations
20.
Dias, W. P. S., et al.. (2010). Effects of Large Retarder Overdose on Concrete Strength Development. Engineer Journal of the Institution of Engineers Sri Lanka. 43(3). 13–13. 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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