Arghya Das

1.0k total citations
50 papers, 733 citations indexed

About

Arghya Das is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, Arghya Das has authored 50 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Civil and Structural Engineering, 25 papers in Mechanics of Materials and 9 papers in Ocean Engineering. Recurrent topics in Arghya Das's work include Rock Mechanics and Modeling (22 papers), Geotechnical Engineering and Soil Mechanics (21 papers) and Geotechnical Engineering and Underground Structures (15 papers). Arghya Das is often cited by papers focused on Rock Mechanics and Modeling (22 papers), Geotechnical Engineering and Soil Mechanics (21 papers) and Geotechnical Engineering and Underground Structures (15 papers). Arghya Das collaborates with scholars based in India, Australia and United States. Arghya Das's co-authors include Itai Einav, Giang D. Nguyen, Alessandro Tengattini, Giuseppe Buscarnera, Stephen A. Hall, Gioacchino Viggiani, B. V. S. Viswanadham, Venkitanarayanan Parameswaran, Gaurav Tiwari and Gaurav Tiwari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Hydrology.

In The Last Decade

Arghya Das

43 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arghya Das India 15 447 429 154 142 133 50 733
Benjamin Cerfontaine United Kingdom 15 526 1.2× 454 1.1× 203 1.3× 231 1.6× 70 0.5× 43 915
Mehmet B. Cil United States 16 571 1.3× 320 0.7× 271 1.8× 96 0.7× 255 1.9× 22 813
Jeoungseok Yoon South Korea 5 225 0.5× 475 1.1× 221 1.4× 224 1.6× 94 0.7× 8 668
Chung Yee Kwok Hong Kong 11 291 0.7× 312 0.7× 217 1.4× 135 1.0× 138 1.0× 18 557
Chen Long-zhu China 12 673 1.5× 408 1.0× 190 1.2× 190 1.3× 38 0.3× 42 949
T. Kazerani Switzerland 9 315 0.7× 529 1.2× 233 1.5× 144 1.0× 58 0.4× 10 616
Mojtaba Mohammadnejad Australia 8 287 0.6× 404 0.9× 143 0.9× 146 1.0× 69 0.5× 13 535
Rocco Lagioia Italy 10 570 1.3× 365 0.9× 152 1.0× 90 0.6× 37 0.3× 22 753
Lu Shi China 14 176 0.4× 295 0.7× 72 0.5× 115 0.8× 59 0.4× 36 526
Sophie‐Adélaïde Magnier Canada 7 300 0.7× 401 0.9× 133 0.9× 96 0.7× 100 0.8× 8 539

Countries citing papers authored by Arghya Das

Since Specialization
Citations

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

Fields of papers citing papers by Arghya Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arghya Das

This figure shows the co-authorship network connecting the top 25 collaborators of Arghya Das. A scholar is included among the top collaborators of Arghya Das 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 Arghya Das. Arghya Das 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.
Das, Arghya, et al.. (2025). Numerical Simulation of Flexible-Bonded Granular Assembly Using DEM. IOP Conference Series Earth and Environmental Science. 1480(1). 12097–12097.
2.
3.
Das, Arghya, et al.. (2025). Cyclic Simple Shear Response of Coral Sand under the Dual Effects of Isotropic Confinement and Normal Stress. International Journal of Geomechanics. 25(5).
4.
Das, Arghya, et al.. (2024). Microstructural behaviour of soft-rigid granular mixes under compressive loads: DEM study using coherent contact model. Computers and Geotechnics. 176. 106749–106749. 5 indexed citations
5.
Das, Arghya, et al.. (2023). Pore network modeling approach for simulating soil water retention curve under different stress conditions. SHILAP Revista de lepidopterología. 382. 10004–10004.
6.
Tiwari, Gaurav, et al.. (2023). Dynamic Behavior of Ungrouted and Grouted Rocks of Different Morphologies Containing a Flaw Subjected to Different Thermal Treatments. Rock Mechanics and Rock Engineering. 57(1). 261–286. 14 indexed citations
7.
Tiwari, Gaurav, et al.. (2023). Dynamic mechanical behaviour of rock-like materials with a flaw under different orientation and infill conditions. Bulletin of Engineering Geology and the Environment. 82(9). 17 indexed citations
8.
Das, Arghya, et al.. (2023). Numerical implementation of BBM in FE package for solving unsaturated soil boundary value problems. SHILAP Revista de lepidopterología. 382. 15003–15003. 2 indexed citations
9.
Tiwari, Gaurav, et al.. (2023). Experimental assessment of dynamic loading response of grouted non-persistent jointed rock. IOP Conference Series Earth and Environmental Science. 1124(1). 12055–12055.
10.
Das, Arghya, et al.. (2023). Multiscale pore network construction for two phase flow simulations in granular soils. Advances in Water Resources. 173. 104386–104386. 9 indexed citations
11.
Das, Arghya, et al.. (2023). A comparative study on the dynamic loading response of heat-treated soft and medium hard rocks. Engineering Fracture Mechanics. 292. 109579–109579. 13 indexed citations
12.
Das, Arghya, et al.. (2022). A DEM study on microstructural behaviour of soluble granular materials subjected to chemo-mechanical loading. Geomechanics for Energy and the Environment. 32. 100390–100390. 2 indexed citations
13.
Das, Arghya, et al.. (2022). A Constitutive Model for Cyclic Loading Response of Crushable Sand. Indian geotechnical journal. 52(6). 1253–1266. 2 indexed citations
14.
Das, Arghya, et al.. (2021). Exploring chemo-mechanics of granular material using DEM. SHILAP Revista de lepidopterología. 249. 14013–14013. 2 indexed citations
15.
Das, Arghya, et al.. (2020). Development of semi-implicit midpoint and Romberg stress integration algorithms for single hardening soil constitutive models. Engineering Computations. 37(9). 3477–3503. 3 indexed citations
16.
Das, Arghya, et al.. (2019). Analysis of Coupled Hydro-Mechanical Response in Deformable Porous Rock Using DEM. 53rd U.S. Rock Mechanics/Geomechanics Symposium. 1 indexed citations
17.
Das, Arghya, et al.. (2018). Model-Based Assessment of the Effect of Surface Area Growth on the Permeability of Granular Rocks. Journal of Engineering Mechanics. 144(5). 8 indexed citations
18.
Das, Arghya, et al.. (2018). Influence of Lode angle‐dependent failure criteria on shear localization analysis in sand. International Journal for Numerical and Analytical Methods in Geomechanics. 42(8). 979–998. 5 indexed citations
19.
Das, Arghya, et al.. (2017). Effects of Particle Dissolution on the Constitutive Response of Granular Materials. 732–739. 3 indexed citations
20.
Das, Arghya, Giang D. Nguyen, & Itai Einav. (2013). The propagation of compaction bands in porous rocks based on breakage mechanics. Journal of Geophysical Research Solid Earth. 118(5). 2049–2066. 43 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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