World's Best Scientists 2026 revealed!
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Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
42
Citations
5213
World Ranking
587
National Ranking
26

Mechanical and Aerospace Engineering

D-Index
50
Citations
6608
World Ranking
1203
National Ranking
81

Tanmoy Mukhopadhyay 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 Tanmoy Mukhopadhyay 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: 183 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Tanmoy Mukhopadhyay 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 Tanmoy Mukhopadhyay 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: 50 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Tanmoy Mukhopadhyay is affiliated with the University of Southampton in the United Kingdom. Their research spans the fields of Engineering and Materials Science, with notable contributions in subfields such as Mechanical Engineering, Civil and Structural Engineering, Materials Chemistry, Biomedical Engineering, and Mechanics of Materials.

The scientist's main research topics include:

  • Advanced Materials and Mechanics
  • Cellular and Composite Structures
  • Acoustic Wave Phenomena Research
  • Structural Analysis and Optimization
  • Composite Structure Analysis and Optimization
  • Probabilistic and Robust Engineering Design
  • Graphene research and applications

Their publication record features frequent contributions to journals such as:

  • Composite Structures
  • Mechanics of Materials
  • Advanced Theory and Simulations
  • Mechanics Based Design of Structures and Machines
  • International Journal of Engineering Science

Recent papers published by Mukhopadhyay include:

  • "Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design," published in 2022 in Archives of Computational Methods in Engineering
  • "Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model," published in 2022 in Engineering Analysis with Boundary Elements
  • "Programmable multi-physical mechanics of mechanical metamaterials," published in 2023 in Materials Science and Engineering R Reports
  • "Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: From room temperature to melting point," published in 2021 in Computational Materials Science
  • "Machine learning based stochastic dynamic analysis of functionally graded shells," published in 2020 in Composite Structures

Collaborative work is a prominent feature of their research, with frequent co-authors including:

  • Susmita Naskar
  • Kritesh Kumar Gupta
  • Sudip Dey
  • S. Dey
  • Sondipon Adhikari

Tanmoy Mukhopadhyay has also contributed to academic literature through book publications, notably with Springer Nature. An upcoming book titled Machine Learning in Nanoscale Materials Design is expected in 2025.

Best Publications

  • Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

    Unknown

  • Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model

    Unknown

  • Programmable multi-physical mechanics of mechanical metamaterials

    Unknown

  • 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

  • Effective in-plane elastic properties of auxetic honeycombs with spatial irregularity

    T. Mukhopadhyay;S. Adhikari

  • Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties

    S. Naskar;T. Mukhopadhyay;S. Sriramula;S. 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

  • Free-Vibration Analysis of Sandwich Panels with Randomly Irregular Honeycomb Core

    T. Mukhopadhyay;Sondipon Adhikari

  • Effective in-plane elastic moduli of quasi-random spatially irregular hexagonal lattices

    Tanmoy Mukhopadhyay;Sondipon Adhikari

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

    Sudip Dey;Tanmoy Mukhopadhyay;Sondipon Adhikari

  • Equivalent in-plane elastic properties of irregular honeycombs: An analytical approach

    T. Mukhopadhyay;Sondipon Adhikari

  • Programmable stiffness and shape modulation in origami materials: emergence of a distant actuation feature

    Tanmoy Mukhopadhyay;Jiayao Ma;Huijuan Feng;Degao Hou

  • System reliability analysis of soil slopes with general slip surfaces using multivariate adaptive regression splines

    Subhadeep Metya;Subhadeep Metya;Tanmoy Mukhopadhyay;Sondipon Adhikari;Gautam Bhattacharya

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

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

  • Stochastic mechanics of metamaterials

    T. Mukhopadhyay;S. Adhikari

  • Stochastic dynamic analysis of twisted functionally graded plates

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

  • Structural Damage Identification Using Response Surface-Based Multi-objective Optimization: A Comparative Study

    Tanmoy Mukhopadhyay;Tushar Kanti Dey;Rajib Chowdhury;Anupam Chakrabarti

  • Vibration and Buckling Analyses of Sandwich Plates Containing Functionally Graded Metal Foam Core

    Unknown

  • 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

Frequent Co-Authors

Sondipon Adhikari
Sondipon Adhikari University of Glasgow
Sudip Dey
Sudip Dey National Institute Of Technology Silchar
Anupam Chakrabarti
Anupam Chakrabarti Indian Institute of Technology Roorkee
Gert Heinrich
Gert Heinrich TU Dresden
Zhong You
Zhong You University of Oxford
Rajib Chowdhury
Rajib Chowdhury Indian Institute of Technology Roorkee
Krishna Murari Pandey
Krishna Murari Pandey National Institute Of Technology Silchar
Seung-Eock Kim
Seung-Eock Kim Sejong University
Suchart Siengchin
Suchart Siengchin King Mongkut's University of Technology North Bangkok
Yan Chen
Yan Chen Tianjin University

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