Time-Dependent Solution of a Full Hydrodynamic Model Including Convective Terms and Viscous Effect. - Deyin Xu; Ting-Wei Tang; Sergei S. Kucherenko (VLSI Design, 1998)

The Kissing Number Problem: A New Result from Global Optimization. - Leo Liberti; Nelson Maculan; Sergei S. Kucherenko (Electron. Notes Discret. Math., 2004)

A flexible and generic approach to dynamic modelling of supply chains. - Wing Yan Hung; Sergei S. Kucherenko; Nouri J. Samsatli; Nilay Shah (J. Oper. Res. Soc., 2004)

Application of Deterministic Low-Discrepancy Sequences in Global Optimization. - Sergei S. Kucherenko; Yury Sytsko (Comput. Optim. Appl., 2005)

Comparison of deterministic and stochastic approaches to global optimization. - Leo Liberti; Sergei S. Kucherenko (Int. Trans. Oper. Res., 2005)

On global sensitivity analysis of quasi-Monte Carlo algorithms. - Ilya M. Sobol; Sergei S. Kucherenko (Monte Carlo Methods Appl., 2005)

New formulations for the Kissing Number Problem. - Sergei S. Kucherenko; Pietro Belotti; Leo Liberti; Nelson Maculan (Discret. Appl. Math., 2007)

Estimating the approximation error when fixing unessential factors in global sensitivity analysis. - Ilya M. Sobol; Stefano Tarantola; Debora Gatelli; Sergei S. Kucherenko; Wolfgang Mauntz (Reliab. Eng. Syst. Saf., 2007)

Derivative based global sensitivity measures and their link with global sensitivity indices. - Ilya M. Sobol; Sergei S. Kucherenko (Math. Comput. Simul., 2009)

Calculating first-order sensitivity measures: A benchmark of some recent methodologies. - Debora Gatelli; Sergei S. Kucherenko; Marco Ratto; Stefano Tarantola (Reliab. Eng. Syst. Saf., 2009)

Monte Carlo evaluation of derivative-based global sensitivity measures. - Sergei S. Kucherenko; Maria Rodriguez-Fernandez; Constantinos C. Pantelides; Nilay Shah (Reliab. Eng. Syst. Saf., 2009)

A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices. - Ilya M. Sobol; Sergei S. Kucherenko (Comput. Phys. Commun., 2010)

The identification of model effective dimensions using global sensitivity analysis. - Sergei S. Kucherenko; Balazs Feil; Nilay Shah; Wolfgang Mauntz (Reliab. Eng. Syst. Saf., 2011)

Estimation of global sensitivity indices for models with dependent variables. - Sergei S. Kucherenko; Stefano Tarantola; Paola Annoni (Comput. Phys. Commun., 2012)

Metamodelling with independent and dependent inputs. - Miguel Munoz Zuniga; Sergei S. Kucherenko; Nilay Shah (Comput. Phys. Commun., 2013)

Derivative-Based Global Sensitivity Measures and Their Link with Sobol' Sensitivity Indices. - Sergei S. Kucherenko; Shufang Song (MCQMC, 2014)

Application of the control variate technique to estimation of total sensitivity indices. - Sergei S. Kucherenko; B. Delpuech; Bertrand Iooss; Stefano Tarantola (Reliab. Eng. Syst. Saf., 2015)

Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling. - Romain S. C. Lambert; Frank Lemke; Sergei S. Kucherenko; Shufang Song; Nilay Shah (Math. Comput. Simul., 2016)

Sobol' indices for problems defined in non-rectangular domains. - Sergei S. Kucherenko; Oleksiy V. Klymenko; Nilay Shah (Reliab. Eng. Syst. Saf., 2017)

Different numerical estimators for main effect global sensitivity indices. - Sergei S. Kucherenko; Shufang Song (Reliab. Eng. Syst. Saf., 2017)

Quantile based global sensitivity measures. - Sergei S. Kucherenko; Shufang Song; Lu Wang 016 (Reliab. Eng. Syst. Saf., 2019)

Derivative-based new upper bound of Sobol' sensitivity measure. - Shufang Song; Tong Zhou; Lu Wang 016; Sergei S. Kucherenko; Zhenzhou Lu (Reliab. Eng. Syst. Saf., 2019)

Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach. - Sabine M. Spiessl; Sergei S. Kucherenko; Dirk-A. Becker; Oluyemi Zaccheus (Reliab. Eng. Syst. Saf., 2019)

Global Sensitivity Analysis of Various Numerical Schemes for the Heston Model. - Emanouil I. Atanassov; Sergei S. Kucherenko; Aneta Karaivanova (ICCS (7), 2020)

Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling. - Sergei S. Kucherenko; Dimitrios Giamalakis; Nilay Shah; Salvador García Muñoz (Comput. Chem. Eng., 2020)

Multivariate sensitivity analysis and derivative-based global sensitivity measures with dependent variables. - Matieyendou Lamboni; Sergei S. Kucherenko (Reliab. Eng. Syst. Saf., 2021)

Quantile sensitivity measures based on subset simulation importance sampling. - Shufang Song; Zhiwei Bai; Sergei S. Kucherenko; Lu Wang 016; Caiqiong Yang (Reliab. Eng. Syst. Saf., 2021)

A unified approach for global sensitivity analysis based on active subspace and Kriging. - Changcong Zhou; Zhuangke Shi; Sergei S. Kucherenko; Haodong Zhao (Reliab. Eng. Syst. Saf., 2022)

Application of Active Subspaces for Model Reduction and Identification of Design Space. - Sergei S. Kucherenko; Nilay Shah; Oluyemi Zaccheus (LSSC, 2023)

Design space identification of a coupled two-stage batch reactor system. - Sergei S. Kucherenko; Nannapat Sopittakamol; Nilay Shah (Comput. Chem. Eng., 2024)

Analytical Identification of Design and Multidimensional Spaces Using R-Functions. - Sergei S. Kucherenko; Oleksiy V. Klymenko; Nilay Shah (CoRR, 2024)

Analytical identification of process design spaces using R-functions. - Sergei S. Kucherenko; Nilay Shah; Oleksiy V. Klymenko (Comput. Chem. Eng., 2025)

Identification of Feasible Regions Using R-Functions. - Sergei S. Kucherenko; Nilay Shah; Oleksiy V. Klymenko (CoRR, 2025)