World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
30
Citations
2588
World Ranking
3439
National Ranking
108

Sudip Dey publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Sudip Dey sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 131 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Sudip Dey D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Sudip Dey sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 30 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Sudip Dey is affiliated with the National Institute Of Technology Silchar in India. Their research spans primarily the fields of Engineering and Materials Science, with a considerable focus on Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials, Materials Chemistry, and Biomedical Engineering.

They have contributed extensively to specific topics including:

  • Composite Structure Analysis and Optimization
  • Structural Health Monitoring Techniques
  • Probabilistic and Robust Engineering Design
  • Acoustic Wave Phenomena Research
  • High Entropy Alloys Studies
  • Advanced Machining and Optimization Techniques
  • Tribology and Lubrication Engineering

Sudip Dey's publication record features papers in diverse and specialized journals. Notable recent papers include:

  • "Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers," 2020, Journal of Material Science and Technology
  • "Probing the Stochastic Unconfined Compressive Strength of Lime-RHA Mix Treated Clayey Soil," 2022, Journal of Materials in Civil Engineering
  • "Manipulating flexural waves to enhance the broadband vibration mitigation through inducing programmed disorder on smart rainbow metamaterials," 2023, Applied Mathematical Modelling
  • "Hybrid machine-learning-assisted stochastic nano-indentation behaviour of twisted bilayer graphene," 2022, Journal of Physics and Chemistry of Solids
  • "Bandgap manipulation of single and multi-frequency smart metastructures with random impedance disorder," 2022, Smart Materials and Structures

The frequent publication venues where Sudip Dey has contributed multiple articles include:

  • Journal of Vibration Engineering & Technologies
  • Journal of the Brazilian Society of Mechanical Sciences and Engineering
  • Journal of Materials in Civil Engineering
  • Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
  • Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology

Collaboration has been a significant aspect of their research career, with frequent co-authors being:

  • Kritesh Kumar Gupta
  • T. Mukhopadhyay
  • Vaishali Vaishali
  • P. K. Karsh
  • R. R. Kumar

Sudip Dey has also been involved in academic book publications, including the forthcoming title from Springer Nature, Machine Learning in Nanoscale Materials Design, expected in 2025.

Best Publications

  • Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment

    S. Dey;T. Mukhopadhyay;S. Adhikari

  • A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells

    T. Mukhopadhyay;S. Chakraborty;S. Dey;Sondipon Adhikari

  • Stochastic free vibration analyses of composite shallow doubly curved shells – A Kriging model approach

    Sudip Dey;Tanmoy Mukhopadhyay;Sondipon Adhikari

  • Uncertain natural frequency analysis of composite plates including effect of noise – A polynomial neural network approach

    S. Dey;S. Naskar;T. Mukhopadhyay;U. Gohs

  • Stochastic free vibration analysis of angle-ply composite plates – A RS-HDMR approach

    Sudip Dey;Tanmoy Mukhopadhyay;Sondipon Adhikari

  • Fuzzy uncertainty propagation in composites using Gram–Schmidt polynomial chaos expansion

    Sudip Dey;T. Mukhopadhyay;Hamed Haddad Khodaparast;Sondipon Adhikari

  • Stochastic dynamic analysis of twisted functionally graded plates

    P.K. Karsh;T. Mukhopadhyay;S. Dey

  • Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates

    S. Dey;T. Mukhopadhyay;A. Spickenheuer;S. Adhikari

  • Probabilistic characterisation for dynamics and stability of laminated soft core sandwich plates

    S Dey;T Mukhopadhyay;S Naskar;TK Dey

  • On quantifying the effect of noise in surrogate based stochastic free vibration analysis of laminated composite shallow shells

    Tanmoy Mukhopadhyay;Susmita Naskar;Sudip Dey;Sondipon Adhikari

  • Effect of cutout on stochastic natural frequency of composite curved panels

    S. Dey;T. Mukhopadhyay;S.K. Sahu;S. Adhikari

  • Thermal uncertainty quantification in frequency responses of laminated composite plates

    S. Dey;T. Mukhopadhyay;S.K. Sahu;G. Li

  • Stochastic buckling analysis of sandwich plates: The importance of higher order modes

    R.R. Kumar;T. Mukhopadhyay;K.M. Pandey;S. Dey

  • Effect of delamination on the stochastic natural frequencies of composite laminates

    T. Mukhopadhyay;S. Naskar;P.K. Karsh;S. Dey

  • Stochastic dynamic behaviour of hydrodynamic journal bearings including the effect of surface roughness

    K. Maharshi;T. Mukhopadhyay;B. Roy;L. Roy

  • Stochastic low-velocity impact on functionally graded plates: Probabilistic and non-probabilistic uncertainty quantification

    P.K. Karsh;T. Mukhopadhyay;S. Dey

  • Spatial vulnerability analysis for the first ply failure strength of composite laminates including effect of delamination

    P.K. Karsh;T. Mukhopadhyay;S. Dey

  • Uncertainty Quantification in Natural Frequency of Composite Plates - An Artificial Neural Network Based Approach:

    Sudip Dey;Tanmoy Mukhopadhyay;Axel Spickenheuer;Uwe Gohs

  • Machine learning based stochastic dynamic analysis of functionally graded shells

    Vaishali;T. Mukhopadhyay;P.K. Karsh;B. Basu

  • A Response Surface Modelling Approach for Resonance Driven Reliability Based Optimization of Composite Shells

    Sudip Dey;Tanmoy Mukhopadhyay;H. Haddad Khodaparast;Sondipon Adhikari

  • Stochastic dynamic stability analysis of composite curved panels subjected to non-uniform partial edge loading

    S. Dey;T. Mukhopadhyay;S.K. Sahu;S. Adhikari

  • Rotational and ply-level uncertainty in response of composite shallow conical shells

    S. Dey;T. Mukhopadhyay;H. Haddad Khodaparast;Pierre Kerfriden

  • Free vibration analyses of multiple delaminated angle-ply composite conical shells – A finite element approach

    Sudip Dey;Amit Karmakar

Frequent Co-Authors

Tanmoy Mukhopadhyay
Tanmoy Mukhopadhyay University of Southampton
Sondipon Adhikari
Sondipon Adhikari University of Glasgow
Krishna Murari Pandey
Krishna Murari Pandey National Institute Of Technology Silchar
Gert Heinrich
Gert Heinrich TU Dresden
Anupam Chakrabarti
Anupam Chakrabarti Indian Institute of Technology Roorkee
Rajib Chowdhury
Rajib Chowdhury Indian Institute of Technology Roorkee
Kikuo Kishimoto
Kikuo Kishimoto Tokyo Institute of Technology
Zhong You
Zhong You University of Oxford
Pierre Kerfriden
Pierre Kerfriden Cardiff University

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