Vidyut Dey

1.2k total citations
36 papers, 920 citations indexed

About

Vidyut Dey is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Vidyut Dey has authored 36 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Vidyut Dey's work include Advanced machining processes and optimization (14 papers), Welding Techniques and Residual Stresses (14 papers) and Advanced Machining and Optimization Techniques (12 papers). Vidyut Dey is often cited by papers focused on Advanced machining processes and optimization (14 papers), Welding Techniques and Residual Stresses (14 papers) and Advanced Machining and Optimization Techniques (12 papers). Vidyut Dey collaborates with scholars based in India and United States. Vidyut Dey's co-authors include Subrata Kumar Ghosh, Sujoy Chakraborty, Ram Naresh, Dilip Kumar Pratihar, Uttam Kumar Mandal, Siddhartha Kar, A.V. Bapat, M. N. Jha, Sanjay Kumar and Dijendra Nath Roy and has published in prestigious journals such as Journal of Materials Processing Technology, Journal of materials research/Pratt's guide to venture capital sources and Reliability Engineering & System Safety.

In The Last Decade

Vidyut Dey

35 papers receiving 888 citations

Peers

Vidyut Dey

EEE

Asish Bandyopadhyay India

Lucas A. Hof Canada

M. Sakthivel India

Mohd Idris Shah Ismail Malaysia

Subhas Chandra Mondal India

Nishant Kumar Singh India

Sukhomay Pal India

A.C. Spowage Singapore

Friedrich Bleicher Austria

Piyush Singhal India

Asish Bandyopadhyay India

Vidyut Dey

912 ×1.5

381 ×1.1

EEE

225 ×0.9

135 ×1.5

143 ×1.8

Citations per year, relative to Vidyut Dey Vidyut Dey (= 1×) peers Asish Bandyopadhyay

Countries citing papers authored by Vidyut Dey

Since Specialization

Citations

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

Fields of papers citing papers by Vidyut Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidyut Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Vidyut Dey. A scholar is included among the top collaborators of Vidyut 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 Vidyut Dey. Vidyut 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

Chakraborty, Sujoy, et al.. (2025). Surface modification of Al-6061 alloy by copper/graphene green compact electrode in dry electro discharge coating with nitrogen gas as dielectric. Journal of Adhesion Science and Technology. 40(1). 1–28.

Dey, Vidyut, et al.. (2024). Effect of Nano-B4C Particulates on the Mechanical Properties and Corrosion Behavior of Magnesium (AZ91D) Matrix-Based Nanocomposites Fabricated through Ultrasonication-Assisted Stir Casting Method. Journal of Materials Engineering and Performance. 34(17). 19397–19409. 4 indexed citations

Kar, Siddhartha, et al.. (2023). Experimental investigation and multi-response optimisation of end milling in aluminium-5083 alloy using desirability analysis. International Journal of Manufacturing Research. 18(3). 284–310. 3 indexed citations

Dey, Vidyut, et al.. (2021). Modelling of Heat Flow When Thermal Conductivity, Specific Heat Capacity and Density All are a Function of Temperature. Arabian Journal for Science and Engineering. 46(8). 7649–7659. 3 indexed citations

Kumar, Sanjay, Dijendra Nath Roy, & Vidyut Dey. (2021). A comprehensive review on techniques to create the anti-microbial surface of biomaterials to intervene in biofouling. Colloids and Interface Science Communications. 43. 100464–100464. 67 indexed citations

Dey, Vidyut, et al.. (2021). Use of backing mediums increase penetration during TIG welding of P91 steel. Sadhana. 46(4). 5 indexed citations

Paul, Tania, et al.. (2019). Multi-objective optimization of some correlated process parameters in EDM of Inconel 800 using a hybrid approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41(7). 32 indexed citations

Dey, Vidyut, et al.. (2017). Techniques to improveweld penetration in TIG welding (A review). Materials Today Proceedings. 4(2). 1252–1259. 66 indexed citations

Dey, Vidyut, et al.. (2017). Weld Bead Geometry Dimensions Measurement based on Pixel Intensity by Image Analysis Techniques. Journal of The Institution of Engineers (India) Series C. 100(2). 379–384. 9 indexed citations

10.

Chakraborty, Sujoy, Siddhartha Kar, Vidyut Dey, & Subrata Kumar Ghosh. (2017). THE PHENOMENON OF SURFACE MODIFICATION BY ELECTRO-DISCHARGE COATING PROCESS: A REVIEW. Surface Review and Letters. 25(1). 1830003–1830003. 37 indexed citations

11.

Dey, Vidyut, et al.. (2017). A Study to Increase Weld Penetration in P91 Steel During TIG Welding by using Activating Fluxes. IOP Conference Series Materials Science and Engineering. 225. 12099–12099. 8 indexed citations

12.

Dey, Vidyut, et al.. (2017). A Study to Enhance the Depth of Penetration in Grade P91 Steel Plate Using Alumina as Flux in FBTIG Welding. Arabian Journal for Science and Engineering. 42(11). 4959–4970. 17 indexed citations

13.

Dey, Vidyut, et al.. (2016). Study on the effect of high-temperature ceramic fiber insulating board to weld grade P-91 steel. Journal of Manufacturing Processes. 25. 1–7. 9 indexed citations

14.

Kar, Siddhartha, Sujoy Chakraborty, Vidyut Dey, & Subrata Kumar Ghosh. (2016). Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach. Journal of The Institution of Engineers (India) Series C. 98(5). 607–618. 21 indexed citations

15.

Jha, M. N., et al.. (2014). MODELING OF INPUT-OUTPUT RELATIONSHIPS FOR ELECTRON BEAM BUTT WELDING OF DISSIMILAR MATERIALS USING NEURAL NETWORKS. International Journal of Computational Intelligence and Applications. 13(3). 1450016–1450016. 2 indexed citations

16.

Jha, M. N., et al.. (2013). Knowledge-based systems using neural networks for electron beam welding process of reactive material (Zircaloy-4). Journal of Intelligent Manufacturing. 25(6). 1315–1333. 24 indexed citations

17.

Jha, M. N., et al.. (2011). Study on electron beam butt welding of austenitic stainless steel 304 plates and its input–output modelling using neural networks. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 225(11). 2051–2070. 24 indexed citations

18.

Dey, Vidyut, Dilip Kumar Pratihar, & G. L. Datta. (2011). Genetic algorithm-tuned entropy-based fuzzy C-means algorithm for obtaining distinct and compact clusters. Fuzzy Optimization and Decision Making. 10(2). 153–166. 18 indexed citations

19.

Dey, Vidyut, Dilip Kumar Pratihar, & G. L. Datta. (2010). Forward and reverse modeling of electron beam welding process using radial basis function neural networks. International Journal of Knowledge-based and Intelligent Engineering Systems. 14(4). 201–215. 8 indexed citations

20.

Dey, Vidyut, Dilip Kumar Pratihar, & G. L. Datta. (2008). Prediction of Weld Bead Profile Using Neural Networks. 78. 581–586. 4 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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