S. Dey

589 total citations
21 papers, 443 citations indexed

About

S. Dey is a scholar working on Biomedical Engineering, Civil and Structural Engineering and Materials Chemistry. According to data from OpenAlex, S. Dey has authored 21 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Civil and Structural Engineering and 8 papers in Materials Chemistry. Recurrent topics in S. Dey's work include Graphene research and applications (7 papers), Composite Structure Analysis and Optimization (6 papers) and Acoustic Wave Phenomena Research (6 papers). S. Dey is often cited by papers focused on Graphene research and applications (7 papers), Composite Structure Analysis and Optimization (6 papers) and Acoustic Wave Phenomena Research (6 papers). S. Dey collaborates with scholars based in India, United Kingdom and Germany. S. Dey's co-authors include T. Mukhopadhyay, Susmita Naskar, Sondipon Adhikari, Kritesh Kumar Gupta, P. K. Karsh, Hamed Haddad Khodaparast, Lintu Roy, Biswajit Basu, Subrata Chakraborty and Subrata Barman and has published in prestigious journals such as Scientific Reports, Applied Surface Science and Composite Structures.

In The Last Decade

S. Dey

19 papers receiving 433 citations

Peers

Countries citing papers authored by S. Dey

Since Specialization

Citations

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

Fields of papers citing papers by S. Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Dey

This figure shows the co-authorship network connecting the top 25 collaborators of S. Dey. A scholar is included among the top collaborators of S. Dey 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 S. Dey. S. Dey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	VexIR2Vec : An Architecture-Neutral Embedding Framework for Binary Similarity 2025 ·ACM Transactions on Software Engineering and Methodology ·(unknown), (unknown), S. Dey, (unknown), (unknown), (unknown), Fernando Magno Quintão Pereira, (unknown)	1
2	Uncertainty frequency analysis of composite shells with cutout 2025 ·Journal of Mechanical Science and Technology ·Abhishek Kumar Singh, P. K. Karsh, S. Dey	0
3	Enhancing object recognition: a comprehensive analysis of CNN based deep learning models considering lighting conditions and perspectives 2025 ·Evolutionary Intelligence ·(unknown), (unknown), S. Dey	0
4	On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics 2024 ·Scientific Reports ·Kritesh Kumar Gupta, Surajit Das Barman, S. Dey, Susmita Naskar, T. Mukhopadhyay	15
5	Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys 2024 ·Machine Learning Science and Technology ·Kritesh Kumar Gupta, Subrata Barman, S. Dey, T. Mukhopadhyay	14
6	Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization 2022 ·Materials Today Communications ·Kritesh Kumar Gupta, (unknown), T. Mukhopadhyay, Lintu Roy, S. Dey	19
7	Packet Processing Algorithm Identification using Program Embeddings 2022 ·(unknown), (unknown), S. Dey, (unknown), Praveen Tammana, (unknown)	4
8	Probability-based unified sensitivity analysis for multi-objective performances of composite laminates: A surrogate-assisted approach 2022 ·Composite Structures ·(unknown), T. Mukhopadhyay, Arunasis Chakraborty, Saikat Ranjan Maity, S. Dey	15
9	On machine learning assisted data-driven bridging of FSDT and HOZT for high-fidelity uncertainty quantification of laminated composite and sandwich plates 2022 ·Composite Structures ·(unknown), T. Mukhopadhyay, Susmita Naskar, S. Dey	23
10	Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping 2021 ·Journal of Physics and Chemistry of Solids ·Kritesh Kumar Gupta, T. Mukhopadhyay, (unknown), Lintu Roy, S. Dey	37
11	Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs 2021 ·Materials Today Communications ·(unknown), Kritesh Kumar Gupta, Susmita Naskar, T. Mukhopadhyay, S. Dey	20
12	Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design 2021 ·Materials Advances ·Kritesh Kumar Gupta, T. Mukhopadhyay, Lintu Roy, S. Dey	13
13	Probing the multi-physical probabilistic dynamics of a novel functional class of hybrid composite shells 2020 ·Composite Structures ·(unknown), T. Mukhopadhyay, (unknown), S. Dey	17
14	Machine learning based stochastic dynamic analysis of functionally graded shells 2020 ·Composite Structures ·(unknown), T. Mukhopadhyay, P. K. Karsh, Biswajit Basu, S. Dey	54
15	Effect of spatial distribution of nanopores on mechanical properties of mono layer graphene 2020 ·IOP Conference Series Materials Science and Engineering ·(unknown), Kritesh Kumar Gupta, (unknown), S. Dey	2
16	Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms 2020 ·Archives of Computational Methods in Engineering ·T. Mukhopadhyay, Susmita Naskar, Subrata Chakraborty, P. K. Karsh, (unknown), S. Dey	36
17	Effect of silicon dopant on mechanical properties of monolayer graphene 2020 ·IOP Conference Series Materials Science and Engineering ·(unknown), (unknown), Kritesh Kumar Gupta, S. Dey	3
18	Stochastic impact responses analysis of functionally graded plates 2019 ·Journal of the Brazilian Society of Mechanical Sciences and Engineering ·P. K. Karsh, (unknown), S. Dey	15
19	On quantifying the effect of noise in surrogate based stochastic free vibration analysis of laminated composite shallow shells 2016 ·Composite Structures ·T. Mukhopadhyay, Susmita Naskar, S. Dey, Sondipon Adhikari	63
20	Fuzzy uncertainty propagation in composites using Gram–Schmidt polynomial chaos expansion 2015 ·Applied Mathematical Modelling ·S. Dey, T. Mukhopadhyay, Hamed Haddad Khodaparast, Sondipon Adhikari	73

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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