Liapunov and Riccati equations for practical stability. - Diederich Hinrichsen; Elmar Plischke; Anthony J. Pritchard (ECC, 2001)

Duality results for the joint spectral radius and transient behavior. - Elmar Plischke; Fabian Wirth; Nikita Barabanov (CDC/ECC, 2005)

Lyapunov matrices for time-delay systems. - Vladimir L. Kharitonov; Elmar Plischke (Syst. Control. Lett., 2006)

An effective algorithm for computing global sensitivity indices (EASI). - Elmar Plischke (Reliab. Eng. Syst. Saf., 2010)

How to compute variance-based sensitivity indicators with your spreadsheet software. - Elmar Plischke (Environ. Model. Softw., 2012)

An adaptive correlation ratio method using the cumulative sum of the reordered output. - Elmar Plischke (Reliab. Eng. Syst. Saf., 2012)

Global sensitivity measures from given data. - Elmar Plischke; Emanuele Borgonovo; Curtis L. Smith (Eur. J. Oper. Res., 2013)

Sensitivity analysis: A review of recent advances. - Emanuele Borgonovo; Elmar Plischke (Eur. J. Oper. Res., 2016)

Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments. - Emanuele Borgonovo; Max D. Morris; Elmar Plischke (SIAM/ASA J. Uncertain. Quantification, 2018)

Copula theory and probabilistic sensitivity analysis: Is there a connection? - Elmar Plischke; Emanuele Borgonovo (Eur. J. Oper. Res., 2019)

The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. - Saman Razavi; Anthony J. Jakeman; Andrea Saltelli; Clémentine Prieur; Bertrand Iooss; Emanuele Borgonovo; Elmar Plischke; Samuele Lo Piano; Takuya Iwanaga; William E. Becker; Stefano Tarantola; Joseph H. A. Guillaume; et al. (Environ. Model. Softw., 2021)

Probabilistic sensitivity measures as information value. - Emanuele Borgonovo; Gordon B. Hazen; Victor Richmond R. Jose; Elmar Plischke (Eur. J. Oper. Res., 2021)

Computing Shapley Effects for Sensitivity Analysis. - Elmar Plischke; Giovanni Rabitti; Emanuele Borgonovo (SIAM/ASA J. Uncertain. Quantification, 2021)

Explaining classifiers with measures of statistical association. - Emanuele Borgonovo; Valentina Ghidini; Roman Hahn; Elmar Plischke (Comput. Stat. Data Anal., 2023)

The many Shapley values for explainable artificial intelligence: A sensitivity analysis perspective. - Emanuele Borgonovo; Elmar Plischke; Giovanni Rabitti (Eur. J. Oper. Res., 2024)

Total effects with constrained features. - Emanuele Borgonovo; Elmar Plischke; Clémentine Prieur (Stat. Comput., 2024)

Global Sensitivity Analysis via Optimal Transport. - Emanuele Borgonovo; Alessio Figalli; Elmar Plischke; Giuseppe Savaré (Manag. Sci., 2025)