Sergei S. Kucherenko

Orcid: 0000-0003-1593-8264

Affiliations:
  • Imperial College London, Department of Chemical Engineering, UK


According to our database1, Sergei S. Kucherenko authored at least 28 papers between 1998 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A unified approach for global sensitivity analysis based on active subspace and Kriging.
Reliab. Eng. Syst. Saf., 2022

2021
Quantile sensitivity measures based on subset simulation importance sampling.
Reliab. Eng. Syst. Saf., 2021

Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables.
Reliab. Eng. Syst. Saf., 2021

2020
Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling.
Comput. Chem. Eng., 2020

Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach.
Reliab. Eng. Syst. Saf., 2019

Derivative-based new upper bound of Sobol' sensitivity measure.
Reliab. Eng. Syst. Saf., 2019

Quantile based global sensitivity measures.
Reliab. Eng. Syst. Saf., 2019

2017
Different numerical estimators for main effect global sensitivity indices.
Reliab. Eng. Syst. Saf., 2017

Sobol' indices for problems defined in non-rectangular domains.
Reliab. Eng. Syst. Saf., 2017

2016
Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling.
Math. Comput. Simul., 2016

2015
Application of the control variate technique to estimation of total sensitivity indices.
Reliab. Eng. Syst. Saf., 2015

2014
Derivative-Based Global Sensitivity Measures and Their Link with Sobol' Sensitivity Indices.
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014

2013
Metamodelling with independent and dependent inputs.
Comput. Phys. Commun., 2013

2012
Estimation of global sensitivity indices for models with dependent variables.
Comput. Phys. Commun., 2012

2011
The identification of model effective dimensions using global sensitivity analysis.
Reliab. Eng. Syst. Saf., 2011

2010
A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices.
Comput. Phys. Commun., 2010

2009
Monte Carlo evaluation of derivative-based global sensitivity measures.
Reliab. Eng. Syst. Saf., 2009

Calculating first-order sensitivity measures: A benchmark of some recent methodologies.
Reliab. Eng. Syst. Saf., 2009

Derivative based global sensitivity measures and their link with global sensitivity indices.
Math. Comput. Simul., 2009

2007
Estimating the approximation error when fixing unessential factors in global sensitivity analysis.
Reliab. Eng. Syst. Saf., 2007

New formulations for the Kissing Number Problem.
Discret. Appl. Math., 2007

2005
On global sensitivity analysis of quasi-Monte Carlo algorithms.
Monte Carlo Methods Appl., 2005

Comparison of deterministic and stochastic approaches to global optimization.
Int. Trans. Oper. Res., 2005

Application of Deterministic Low-Discrepancy Sequences in Global Optimization.
Comput. Optim. Appl., 2005

2004
A flexible and generic approach to dynamic modelling of supply chains.
J. Oper. Res. Soc., 2004

The Kissing Number Problem: A New Result from Global Optimization.
Electron. Notes Discret. Math., 2004

1998
Time-Dependent Solution of a Full Hydrodynamic Model Including Convective Terms and Viscous Effect.
VLSI Design, 1998


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