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Best Scientists - Mechanical and Aerospace Engineering
Tanmoy Mukhopadhyay

Tanmoy Mukhopadhyay

Indian Institute of Technology Kanpur
India

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Mechanical and Aerospace Engineering D-index 37 Citations 3,043 96 World Ranking 1368 National Ranking 24

Rising Stars D-index 37 Citations 3,053 100 World Ranking 663 National Ranking 27

Research.com Recognitions

Awards & Achievements

2023 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study Tanmoy Mukhopadhyay is best known for:

Gene
Elastic modulus
Composite material

Tanmoy Mukhopadhyay is involved in relevant fields of research such as Plane (geometry) and Honeycomb in the domain of Geometry. He incorporates Plane (geometry) and Geometry in his studies. His Finite element method research extends to the thematically linked field of Structural engineering. Finite element method is closely attributed to Structural engineering in his research. His work on Composite number expands to the thematically related Composite material. His study ties his expertise on Composite material together with the subject of Composite number. He performs integrative study on Statistics and Stochastic process. In his works, he conducts interdisciplinary research on Acoustics and Vibration. Tanmoy Mukhopadhyay merges many fields, such as Vibration and Natural frequency, in his writings.

His most cited work include:

Retrovirus–mediated wild–type P53 gene transfer to tumors of patients with lung cancer. (653 citations)
Measurement programs in software development: determinants of success (115 citations)
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (109 citations)

What are the main themes of his work throughout his whole career to date

Tanmoy Mukhopadhyay links adjacent fields of study such as Monte Carlo method and Probabilistic logic in the subject of Statistics. Artificial intelligence is integrated with Machine learning, Probabilistic logic and Algorithm in his study. Tanmoy Mukhopadhyay connects Machine learning with Statistics in his study. In his works, he undertakes multidisciplinary study on Algorithm and Artificial intelligence. Many of his studies involve connections with topics such as Composite number and Composite material. His Composite number study frequently links to other fields, such as Composite material. As part of his studies on Structural engineering, he frequently links adjacent subjects like Finite element method. His work on Structural engineering expands to the thematically related Finite element method. His work often combines Acoustics and Vibration studies.

Tanmoy Mukhopadhyay most often published in these fields:

Composite material (48.45%)
Structural engineering (40.21%)
Statistics (27.84%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

S. Dey;T. Mukhopadhyay;S. Adhikari.
Composite Structures (2017)

125 Citations

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.
Archives of Computational Methods in Engineering (2017)

106 Citations

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

S. Naskar;T. Mukhopadhyay;S. Sriramula;S. Adhikari.
Composite Structures (2017)

93 Citations

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

Sudip Dey;Tanmoy Mukhopadhyay;Sondipon Adhikari.
Composites Part B-engineering (2015)

92 Citations

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

S. Dey;S. Naskar;T. Mukhopadhyay;U. Gohs.
Composite Structures (2016)

91 Citations

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

T. Mukhopadhyay;S. Adhikari.
Mechanics of Materials (2016)

89 Citations

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

Sudip Dey;Tanmoy Mukhopadhyay;Sondipon Adhikari.
Composite Structures (2015)

89 Citations

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

Sudip Dey;T. Mukhopadhyay;Hamed Haddad Khodaparast;Sondipon Adhikari.
Applied Mathematical Modelling (2016)

81 Citations

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

T. Mukhopadhyay;Sondipon Adhikari.
International Journal of Solids and Structures (2016)

77 Citations

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

T. Mukhopadhyay;Sondipon Adhikari.
Journal of Engineering Mechanics-asce (2016)

75 Citations

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Frequent Co-Authors

External Links

Personal Website for Tanmoy Mukhopadhyay