Vassili Toropov

Queen Mary University of London

H-index: 36

Europe-United Kingdom

About Vassili Toropov

Vassili Toropov, With an exceptional h-index of 36 and a recent h-index of 22 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Multidisciplinary design optimization, structural optimization, composite structures, stochastic analysis, metamodelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Influence of Nozzle Geometry on Jet mixing and Jet Installation Noise

Surrogate Model-Based Acoustic Optimisation of Jet Nozzle Exit Geometry

Wing jig shape optimisation with gradient-assisted metamodel building in a trust-region optimisation framework

Application of Genetic Programming and Artificial Neural Network Approaches for Reconstruction of Turbulent Jet Flow Fields

Statistical analysis of high-speed jet flows

On the use of the data-and physics-driven approaches for quasi-geostrophic double-gyre problem: application of Genetic Programming

Adaptive Global Optimization Using Graphics Accelerators

Vassili Toropov Information

University	Queen Mary University of London
Position	Professor of Aerospace Engineering
Citations(all)	5088
Citations(since 2020)	1680
Cited By	4049
hIndex(all)	36
hIndex(since 2020)	22
i10Index(all)	81
i10Index(since 2020)	35
Email	Access Email
University Profile Page	Queen Mary University of London
Google Scholar	View Google Scholar Profile

Vassili Toropov Skills & Research Interests

Multidisciplinary design optimization

structural optimization

composite structures

stochastic analysis

metamodelling

Top articles of Vassili Toropov

Title	Journal	Author(s)	Publication Date
Influence of Nozzle Geometry on Jet mixing and Jet Installation Noise		Hussain Ali Abid Annabel P Markesteijn Vasily Gryazev Vassili Toropov Sergey A Karabasov ...	2023
Surrogate Model-Based Acoustic Optimisation of Jet Nozzle Exit Geometry		Guangda Yang Christian B Allen Annabel P Markesteijn Hussain Ali Abid Sergey A Karabasov ...	2022
Wing jig shape optimisation with gradient-assisted metamodel building in a trust-region optimisation framework	Structural and Multidisciplinary Optimization	Yu Zhang Dongsheng Jia Elliot Karl Bontoft Vassili Toropov	2022/12
Application of Genetic Programming and Artificial Neural Network Approaches for Reconstruction of Turbulent Jet Flow Fields	33rd Congress of the International Council of the Aeronautical Sciences	G Vasily Umberto Armani Amal Roy Murali Annabel P Markesteijn SK Karabasov ...	2022/11/28
Statistical analysis of high-speed jet flows		Vasily Gryazev Vladimir Riabov Annabel P Markesteijn Elnaz Naghibi Umberto Armani ...	2022
On the use of the data-and physics-driven approaches for quasi-geostrophic double-gyre problem: application of Genetic Programming	EGU General Assembly Conference Abstracts	Elnaz Naghibi Elnaz Naghibi Sergey Karabasov Vassili Toropov Vasily Gryazev	2021/4
Adaptive Global Optimization Using Graphics Accelerators		Konstantin Barkalov Ilya Lebedev Vassili Toropov	2020