Giorgio Guariso

About Giorgio Guariso

Giorgio Guariso, With an exceptional h-index of 23 and a recent h-index of 18 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Environmental modelling, decision support systems, simulation.

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

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

Neural structures to predict river stages in heavily urbanized catchments

An ANN forecasting system for convective storms: the legacy of the LAMPO project

Deep learning in multi-step prediction of chaotic dynamics: from deterministic models to real-world systems

Introduction to Chaotic Dynamics’ Forecasting

Artificial and Real-World Chaotic Oscillators

Neural Predictors’ Accuracy

Basic Concepts of Chaos Theory and Nonlinear Time-Series Analysis

Giorgio Guariso Information

University

Position

Professor of Environmental Modelling Italy

Citations(all)

4299

Citations(since 2020)

1504

Cited By

3407

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

49

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Giorgio Guariso Skills & Research Interests

Environmental modelling

decision support systems

simulation

Top articles of Giorgio Guariso

The greatest air quality experiment ever: Policy suggestions from the COVID-19 lockdown in twelve European cities

Plos one

2022/11/30

Neural structures to predict river stages in heavily urbanized catchments

Water

2022/7/27

Giorgio Guariso
Giorgio Guariso

H-Index: 14

An ANN forecasting system for convective storms: the legacy of the LAMPO project

2022/7/7

Matteo Sangiorgio
Matteo Sangiorgio

H-Index: 4

Giorgio Guariso
Giorgio Guariso

H-Index: 14

Deep learning in multi-step prediction of chaotic dynamics: from deterministic models to real-world systems

2021

Introduction to Chaotic Dynamics’ Forecasting

2022/2/14

Artificial and Real-World Chaotic Oscillators

2022/2/14

Neural Predictors’ Accuracy

2022/2/14

Basic Concepts of Chaos Theory and Nonlinear Time-Series Analysis

2022/2/14

Concluding Remarks on Chaotic Dynamics’ Forecasting

2022/2/14

Neural predictors’ sensitivity and robustness

2022/2/14

Neural approaches for time series forecasting

2022/2/14

Who decides what: Spatial issues in environmental decisions

IFAC-PapersOnLine

2022/1/1

The cost of inaction in air pollution abatement policies

IFAC-PapersOnLine

2022/1/1

Giorgio Guariso
Giorgio Guariso

H-Index: 14

Marialuisa Volta
Marialuisa Volta

H-Index: 16

Forecasting of noisy chaotic systems with deep neural networks

Chaos, Solitons & Fractals

2021/12/1

Rooftop PV: Potential and Impacts in a Complex Territory

Energies

2021/6/21

Giorgio Guariso
Giorgio Guariso

H-Index: 14

Sensitivity of chaotic dynamics prediction to observation noise

IFAC-PapersOnLine

2021/1/1

Improving the performance of multiobjective genetic algorithms: An elitism-based approach

Information

2020/12

Giorgio Guariso
Giorgio Guariso

H-Index: 14

Matteo Sangiorgio
Matteo Sangiorgio

H-Index: 4

Multi-step solar irradiance forecasting and domain adaptation of deep neural networks

Energies

2020/8/2

Performance of implicit stochastic approaches to the synthesis of multireservoir operating rules

Journal of Water Resources Planning and Management

2020/6/1

Giorgio Guariso
Giorgio Guariso

H-Index: 14

Matteo Sangiorgio
Matteo Sangiorgio

H-Index: 4

Reconstructing environmental variables with missing field data via end-to-end machine learning

2020/5/28

Matteo Sangiorgio
Matteo Sangiorgio

H-Index: 4

Giorgio Guariso
Giorgio Guariso

H-Index: 14

See List of Professors in Giorgio Guariso University(Politecnico di Milano)