Sudip Dey

2.7k total citations
109 papers, 2.0k citations indexed

About

Sudip Dey is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Sudip Dey has authored 109 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanics of Materials, 53 papers in Civil and Structural Engineering and 23 papers in Mechanical Engineering. Recurrent topics in Sudip Dey's work include Composite Structure Analysis and Optimization (42 papers), Structural Health Monitoring Techniques (23 papers) and Probabilistic and Robust Engineering Design (22 papers). Sudip Dey is often cited by papers focused on Composite Structure Analysis and Optimization (42 papers), Structural Health Monitoring Techniques (23 papers) and Probabilistic and Robust Engineering Design (22 papers). Sudip Dey collaborates with scholars based in India, United Kingdom and United States. Sudip Dey's co-authors include T. Mukhopadhyay, Sondipon Adhikari, P. K. Karsh, Amit Karmakar, Susmita Naskar, Kritesh Kumar Gupta, Axel Spickenheuer, S. K. Sahu, Hamed Haddad Khodaparast and Gert Heinrich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Applied Mechanics.

In The Last Decade

Sudip Dey

106 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudip Dey India 28 1.1k 1.0k 611 477 329 109 2.0k
George Stefanou Greece 19 1.1k 1.0× 721 0.7× 1.2k 1.9× 186 0.4× 131 0.4× 59 1.9k
Peter D. Dunning United Kingdom 17 1.1k 0.9× 847 0.8× 245 0.4× 302 0.6× 96 0.3× 36 1.6k
Sameer B. Mulani United States 18 609 0.5× 554 0.5× 281 0.5× 157 0.3× 161 0.5× 96 1.1k
Kang Gao China 25 1.3k 1.2× 1.1k 1.1× 141 0.2× 482 1.0× 160 0.5× 99 2.4k
Udo Nackenhorst Germany 19 472 0.4× 336 0.3× 295 0.5× 358 0.8× 213 0.6× 119 1.4k
Kapil Khandelwal United States 28 1.6k 1.5× 1.1k 1.1× 121 0.2× 630 1.3× 262 0.8× 76 2.5k
Lucia Faravelli Italy 23 1.7k 1.5× 329 0.3× 668 1.1× 278 0.6× 39 0.1× 141 2.2k
Luis A. Godoy Argentina 23 856 0.8× 649 0.6× 298 0.5× 603 1.3× 85 0.3× 172 2.0k
Pál G. Bergan Norway 21 1.1k 1.0× 1.2k 1.2× 128 0.2× 412 0.9× 158 0.5× 54 2.0k
Mazdak Tootkaboni United States 18 763 0.7× 324 0.3× 331 0.5× 194 0.4× 109 0.3× 46 1.2k

Countries citing papers authored by Sudip Dey

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Sudip Dey. A scholar is included among the top collaborators of Sudip 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 Sudip Dey. Sudip Dey 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.
Barman, Subrata, Kritesh Kumar Gupta, & Sudip Dey. (2025). Molecular dynamics-based explanation of the reinforcement geometry effects on CNT/graphene-reinforced Al0.3CoCrFeNi high-entropy alloys. Scientific Reports. 15(1). 24984–24984. 1 indexed citations
2.
Gupta, Kritesh Kumar, et al.. (2024). Closure to “Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil”. Journal of Materials in Civil Engineering. 36(4). 5 indexed citations
3.
Barman, Subrata, Kritesh Kumar Gupta, & Sudip Dey. (2024). Exploring Nano-Scale Scratching Induced Tribological Behavior of Graphene Engineered AlCoCrFeNi High-Entropy Alloy. Journal of Applied Mechanics. 91(10). 5 indexed citations
4.
Gohil, Piyush P., et al.. (2023). Analyzing and Improvising KOH-Treated Jute Fibre Composites for the Medical Equipment. Fibers and Polymers. 24(8). 2867–2876. 2 indexed citations
5.
Karsh, P. K., et al.. (2023). Evaluating Stochastic Fundamental Natural Frequencies of Porous Functionally Graded Material Plate with Even Porosity Effect: A Multi-Machine Learning Approach. Journal of Vibration Engineering & Technologies. 12(2). 1931–1942. 11 indexed citations
6.
Maity, Saikat Ranjan, et al.. (2023). Prediction of WEDM Performances Using Clustering Techniques in ANFIS During Machining of A286 Superalloy. Journal of The Institution of Engineers (India) Series C. 104(2). 315–326. 5 indexed citations
7.
Maity, Saikat Ranjan, et al.. (2022). Comparative Analysis of Metaheuristic Optimizers in the Performance Optimization of Wire Electric Discharge Machining Processes. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Machado, Marcela, et al.. (2022). Bandgap manipulation of single and multi-frequency smart metastructures with random impedance disorder. Smart Materials and Structures. 31(10). 105020–105020. 17 indexed citations
9.
Gupta, Kritesh Kumar, et al.. (2022). Metamodeling-assisted probabilistic first ply failure analysis of laminated composite plates—RS-HDMR- and GPR-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 44(8). 5 indexed citations
10.
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12.
Dey, Sudip, T. Mukhopadhyay, & Sondipon Adhikari. (2017). Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment. Composite Structures. 171. 227–250. 111 indexed citations
13.
Dey, Sudip, T. Mukhopadhyay, Axel Spickenheuer, Sondipon Adhikari, & Gert Heinrich. (2016). Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates. Composite Structures. 140. 712–727. 46 indexed citations
14.
Dey, Sudip, et al.. (2015). Thermal uncertainty quantification in frequency responses of laminated composite plates. Composites Part B Engineering. 80. 186–197. 50 indexed citations
15.
Dey, Sudip & Amit Karmakar. (2012). Effect of Location of Delamination on Free Vibration of Cross-Ply Conical Shells. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Dey, Sudip. (2007). Micro-Environmental status of a dissected highland (College Tilla) of Agartala city, North East india. Indonesian Journal of Geography. 39(2). 3 indexed citations
17.
Dey, Sudip, et al.. (2005). The influences of natural environment upon the evolution of sands dunes in tropical environment along Medinipur Coastalarea, India. Indonesian Journal of Geography. 37(1). 5 indexed citations
18.
Dey, Sudip, et al.. (2004). Effect of irrigation and sulphur on yield attributes, productivity, consumptive use, consumptive use efficiency of wheat (Triticum aestivum). The Indian Journal of Agricultural Sciences. 74(5). 257–261. 2 indexed citations
19.
Dey, Sudip, et al.. (2004). Significance of the Leaf Area Ratio in Hevea brasiliensis Under High Irradiance and Low Temperature Stress. Photosynthetica. 42(1). 93–97. 8 indexed citations
20.
Dey, Sudip, et al.. (1990). Photosynthetic rate and associated leaf characters of rice varieties at seedling stage.. 27(3). 355–357. 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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