Amit Shaw

858 total citations
34 papers, 696 citations indexed

About

Amit Shaw is a scholar working on Computational Mechanics, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, Amit Shaw has authored 34 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 18 papers in Mechanics of Materials and 16 papers in Materials Chemistry. Recurrent topics in Amit Shaw's work include Fluid Dynamics Simulations and Interactions (25 papers), High-Velocity Impact and Material Behavior (16 papers) and Numerical methods in engineering (16 papers). Amit Shaw is often cited by papers focused on Fluid Dynamics Simulations and Interactions (25 papers), High-Velocity Impact and Material Behavior (16 papers) and Numerical methods in engineering (16 papers). Amit Shaw collaborates with scholars based in India, United Kingdom and United States. Amit Shaw's co-authors include Debasish Roy, S.R. Reid, Md Rushdie Ibne Islam, L. S. Ramachandra, Anjali Pal, Stephen Reid, S. K. Lahiri, Kousik Deb, B. Banerjee and Kanishka Bhattacharya and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Amit Shaw

33 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Shaw India 16 459 415 323 279 63 34 696
L.X. Li China 11 116 0.3× 552 1.3× 290 0.9× 112 0.4× 65 1.0× 18 685
Tom De Vuyst United Kingdom 12 312 0.7× 182 0.4× 143 0.4× 247 0.9× 13 0.2× 30 547
Erheng Wang United States 10 104 0.2× 309 0.7× 263 0.8× 154 0.6× 10 0.2× 13 593
K. W. Neale Canada 8 47 0.1× 603 1.5× 332 1.0× 229 0.8× 30 0.5× 16 912
Ercan Gürses Türkiye 13 86 0.2× 460 1.1× 120 0.4× 188 0.7× 4 0.1× 41 607
W. Leclerc France 13 77 0.2× 257 0.6× 86 0.3× 62 0.2× 13 0.2× 30 375
Tushar Kanti Mandal Australia 17 352 0.8× 868 2.1× 247 0.8× 260 0.9× 12 0.2× 22 1.1k
Edward Zywicz United States 12 155 0.3× 369 0.9× 110 0.3× 86 0.3× 6 0.1× 17 486
Carl‐Ernst Rousseau United States 13 36 0.1× 541 1.3× 229 0.7× 130 0.5× 9 0.1× 28 742
Kamyar Hashemnia Iran 11 225 0.5× 73 0.2× 52 0.2× 118 0.4× 24 0.4× 20 417

Countries citing papers authored by Amit Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Amit Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Shaw. A scholar is included among the top collaborators of Amit Shaw 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 Amit Shaw. Amit Shaw 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
2.
Shaw, Amit, et al.. (2024). A remedy to mitigate tensile instability in SPH for simulating large deformation and failure of geomaterials. Advances in Engineering Software. 201. 103848–103848.
3.
Shaw, Amit, et al.. (2024). Efficiency of the dynamic relaxation method in the stabilisation process of bridge and building frame. Advances in Engineering Software. 200. 103828–103828. 6 indexed citations
4.
Bhattacharya, Kanishka, et al.. (2023). An adaptive approach to remove tensile instability in SPH for weakly compressible fluids. Computers & Fluids. 269. 106110–106110. 4 indexed citations
5.
Lahiri, S. K., Amit Shaw, L. S. Ramachandra, & Damodar Maity. (2022). Fracture in concrete gravity dams under dynamic loading conditions. Engineering Analysis with Boundary Elements. 143. 591–605. 9 indexed citations
6.
Lahiri, S. K., Kanishka Bhattacharya, Amit Shaw, & L. S. Ramachandra. (2020). A stable SPH with adaptive B-spline kernel. Journal of Computational Physics. 422. 109761–109761. 13 indexed citations
7.
Lahiri, S. K., Amit Shaw, & L. S. Ramachandra. (2019). On performance of different material models in predicting response of ceramics under high velocity impact. International Journal of Solids and Structures. 176-177. 96–107. 13 indexed citations
8.
Islam, Md Rushdie Ibne & Amit Shaw. (2019). Pseudo-spring SPH simulations on the perforation of metal targets with different damage models. Engineering Analysis with Boundary Elements. 111. 55–77. 13 indexed citations
9.
Islam, Md Rushdie Ibne, et al.. (2017). A computational model for failure of ductile material under impact. International Journal of Impact Engineering. 108. 334–347. 35 indexed citations
10.
Shaw, Amit, et al.. (2015). Prognosis for ballistic sensitivity of pre-notch in metallic beam through mesh-less computation reflecting material damage. International Journal of Solids and Structures. 67-68. 192–204. 20 indexed citations
11.
Shaw, Amit, et al.. (2014). Crack Propagation in Bi-Material System via Pseudo-Spring Smoothed Particle Hydrodynamics. International Journal for Computational Methods in Engineering Science and Mechanics. 15(3). 294–301. 20 indexed citations
12.
Shaw, Amit, et al.. (2014). Determination of inter-yarn friction and its effect on ballistic response of para-aramid woven fabric under low velocity impact. Composite Structures. 120. 129–140. 83 indexed citations
13.
Shaw, Amit. (2012). Penetration of rigid objects into semi-infinite compressible solids. Mechanics of Materials. 50. 22–35. 4 indexed citations
14.
Shaw, Amit, Debasish Roy, & S.R. Reid. (2011). Optimised form of acceleration correction algorithm within SPH-based simulations of impact mechanics. International Journal of Solids and Structures. 48(25-26). 3484–3498. 26 indexed citations
15.
Shaw, Amit & Debasish Roy. (2011). Stabilized SPH-based simulations of impact dynamics using acceleration-corrected artificial viscosity. International Journal of Impact Engineering. 48. 98–106. 19 indexed citations
16.
Shaw, Amit & Stephen Reid. (2009). Applications of SPH with the acceleration correction algorithm in structural impact computations. Current Science. 97(8). 1177–1186. 19 indexed citations
17.
Shaw, Amit, B. Banerjee, & Debasish Roy. (2008). A NURBS-based Parametric Method Bridging Mesh-free and Finite Element Formulations. Computer Modeling in Engineering & Sciences. 26(1). 31–60. 6 indexed citations
18.
Shaw, Amit & Debasish Roy. (2007). A Novel Form of Reproducing Kernel Interpolation Method with Applications to Nonlinear Mechanics. Computer Modeling in Engineering & Sciences. 19(1). 69–98. 6 indexed citations
19.
Shaw, Amit, et al.. (2007). Reproducing kernel collocation method applied to the non-linear dynamics of pipe whip in a plane. International Journal of Impact Engineering. 34(10). 1637–1654. 9 indexed citations
20.
Shaw, Amit & Debasish Roy. (2006). Analyses of wrinkled and slack membranes through an error reproducing mesh-free method. International Journal of Solids and Structures. 44(11-12). 3939–3972. 12 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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