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Marco Panzeri

Observed names: M. Panzeri, Panzeri, Marco
ORCID: 0000-0002-3301-763X
Observed ORCID: 0000-0002-3301-763X
OpenAlex ID: A5005881417
Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow
2013 · M. Panzeri, M. Riva, et al. · Water Resources Research · 53
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Role of model selection criteria in geostatistical inverse estimation of statistical data‐ and model‐parameters
2011 · Monica Riva, Marco Panzeri, et al. · Water Resources Research · 45
EnKF coupled with groundwater flow moment equations applied to Lauswiesen aquifer, Germany
2014 · M. Panzeri, M. Riva, et al. · Journal of Hydrology · 42
Comparison of Ensemble Kalman Filter groundwater-data assimilation methods based on stochastic moment equations and Monte Carlo simulation
2014 · M. Panzeri, M. Riva, et al. · Advances in Water Resources · 34
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Methodological enhancements in MDO process investigated in the AGILE European project
2017 · Thierry Lefebvre, Nathalie Bartoli, et al. · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO) · 32
Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design
2020 · T. Lefebvre, N. Bartoli, et al. · Progress in Aerospace Sciences · 27
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Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
2019 · Andrea Da Ronch, Marco Panzeri, et al. · CEAS Aeronautical Journal · 27
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Uncertainty Quantification in Scale‐Dependent Models of Flow in Porous Media
2017 · A. M. Tartakovsky, M. Panzeri, et al. · Water Resources Research · 21
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Adaptive design of experiments for efficient and accurate estimation of aerodynamic loads
2017 · Andrea Da Ronch, Marco Panzeri, et al. · Aircraft Engineering and Aerospace Technology · 20
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Aerodynamic and aeroelastic uncertainty quantification of NATO STO AVT-251 unmanned combat aerial vehicle
2019 · Andrea Da Ronch, Jernej Drofelnik, et al. · Aerospace Science and Technology · 19
Robust Nacelle Optimization Design investigated in the AGILE European project
2018 · Nathalie Bartoli, Thierry Lefebvre, et al. · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO) · 14
Low-Dimensional Models for Aerofoil Icing Predictions
2023 · David Massegur, Declan Clifford, et al. · Aerospace · 13
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Uncertainty quantification and robust design optimization applied to aircraft propulsion systems
2018 · Marco Panzeri, Andrey Savelyev, et al. · Transportation research procedia · 13
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Theory and generation of conditional, scalable sub‐ G aussian random fields
2016 · M. Panzeri, M. Riva, et al. · Water Resources Research · 13
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Simulation and analysis of scalable non-Gaussian statistically anisotropic random functions
2015 · Monica Riva, Marco Panzeri, et al. · Journal of Hydrology · 13
System integration based on packing, piping and harness routing automation using graph-based design languages
2023 · J. Dinkelacker, D. Kaiser, et al. · CEAS Aeronautical Journal · 10
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On Uncertainty Quantification of the Flow Predictions around the NATO STO AVT-251 Unmanned Combat Aerial Vehicle
2018 · Andrea Da Ronch, Jernjej Drofelnik, et al. · AIAA Applied Aerodynamics Conference · 6
Low-dimensional Models for Aerofoil Icing
2022 · David Massegur, Declan Clifford, et al. · AIAA AVIATION Forum · 5
A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project
2018 · Thierry Lefebvre, Nathalie Bartoli, et al. · AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (MAO) · 5
Integration of Markov mesh models and data assimilation techniques in complex reservoirs
2015 · M. Panzeri, E. L. Della Rossa, et al. · Computational Geosciences · 4
Overview of MDO enhancement in the AGILE project: a clustered and surrogate-based MDA use case
2018 · Thierry Lefèbvre, Nathalie Bartoli, et al. · 2
Integration of Markov Mesh Models and Ensemble Data Assimilation in Reservoirs with Complex Geology
2014 · M. Panzeri, E. Della Rossa, et al. · Proceedings · 1
A Geostatistical Scaling Approach for the Generation of Non Gaussian Random Variables and Increments
2016 · Alberto Guadagnini, Shlomo P. Neuman, et al. · EGUGA
Field-scale application of Ensemble Kalman filter assimilation of transient groundwater flow data via stochastic moment equations
2014 · Marco Panzeri, Mònica Riva, et al. · EGU General Assembly Conference Abstracts
Data assimilation for complex subsurface flow fields
2014 · Marco Panzeri
Works count: 30
Citation count: 419
H-index: 13
I10-index: 16
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