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Emanuele Borgonovo

Emanuele Borgonovo

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
8092
World Ranking
8574
National Ranking
326

Overview

Emanuele Borgonovo is affiliated with Bocconi University in Italy, focusing their academic work within the field of Decision Sciences. Their research primarily intersects with statistics, probability, and uncertainty, alongside contributions to management science, operations research, and artificial intelligence.

Their scholarly output includes key publications addressing sensitivity analysis protocols, epidemiological modeling, and probabilistic sensitivity measures. Notable recent papers include:

  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020) published in Environmental Modelling & Software
  • Irrigated areas drive irrigation water withdrawals (2021) published in Nature Communications
  • Sensitivity analysis of agent-based models: a new protocol (2022) published in Computational and Mathematical Organization Theory
  • Global sensitivity analysis in epidemiological modeling (2021) published in European Journal of Operational Research
  • Probabilistic sensitivity measures as information value (2020) published in European Journal of Operational Research

Borgonovo frequently collaborates with several researchers contributing on topics related to their areas of expertise. Their frequent coauthors are:

  • Elmar Plischke
  • Giovanni Rabitti
  • Andrea Saltelli
  • Samuele Lo Piano
  • Arnald Puy

Their body of work is published in a variety of academic venues, with multiple contributions appearing in:

  • Risk Analysis
  • arXiv (Cornell University)
  • European Journal of Operational Research
  • SSRN Electronic Journal
  • Environmental Modelling & Software

The scope of Borgonovo's research topics encompasses:

  • Probabilistic and Robust Engineering Design
  • Advanced Multi-Objective Optimization Algorithms
  • Hydrology and Watershed Management Studies
  • Risk and Safety Analysis
  • Complex Systems and Decision Making
  • COVID-19 epidemiological studies
  • Infrastructure Resilience and Vulnerability Analysis

This diverse thematic range spans critical areas in modeling and analysis relevant to environmental systems, risk assessment, and decision support frameworks.

Best Publications

  • A new uncertainty importance measure

    Emanuele Borgonovo

  • Sensitivity analysis: A review of recent advances

    Emanuele Borgonovo;Elmar Plischke

  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support

    Saman Razavi;Anthony Jakeman;Andrea Saltelli;Clémentine Prieur

  • Global sensitivity measures from given data

    Elmar Plischke;Emanuele Borgonovo;Curtis L. Smith

  • A new importance measure for risk-informed decision making

    Emanuele Borgonovo;George E. Apostolakis

  • Forty years of the European Journal of Operational Research: A bibliometric overview

    Sigifredo Laengle;José M. Merigó;Jaime Miranda;Roman Slowinski

  • Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches

    Emanuele Borgonovo

  • A Monte Carlo methodological approach to plant availability modeling with maintenance, aging and obsolescence

    Emanuele Borgonovo;Marzio Marseguerra;Enrico Zio

  • Moment Independent Importance Measures: New Results and Analytical Test Cases

    Unknown

  • Model emulation and moment-independent sensitivity analysis: An application to environmental modelling

    E. Borgonovo;W. Castaings;S. Tarantola

  • Sensitivity analysis in investment project evaluation

    Emanuele Borgonovo;Lorenzo Peccati

  • Comparison of global sensitivity analysis techniques and importance measures in PSA

    Emanuele Borgonovo;George E. Apostolakis;Stefano Tarantola;Andrea Saltelli

  • A Common Rationale for Global Sensitivity Measures and Their Estimation.

    Emanuele Borgonovo;Gordon B. Hazen;Elmar Plischke

  • Sensitivity to Energy Technology Costs: A Multi-model Comparison Analysis

    Valentina Bosetti;Valentina Bosetti;Giacomo Marangoni;Giacomo Marangoni;Emanuele Borgonovo;Laura Diaz Anadon

  • Uncertainty in climate change modeling : can global sensitivity analysis be of help?

    B. Anderson;Emanuele Borgonovo;Marzio Domenico Galeotti;Roberto Roson

  • Irrigated areas drive irrigation water withdrawals.

    Arnald Puy;Arnald Puy;Emanuele Borgonovo;Samuele Lo Piano;Simon A. Levin

  • Sensitivity analysis with finite changes: An application to modified EOQ models

    Emanuele Borgonovo

  • Uncertainty and global sensitivity analysis in the evaluation of investment projects

    Emanuele Borgonovo;Lorenzo Peccati

  • Invariant Probabilistic Sensitivity Analysis

    Manel Baucells;Emanuele Borgonovo

  • Differential, criticality and Birnbaum importance measures: An application to basic event, groups and SSCs in event trees and binary decision diagrams

    Emanuele Borgonovo

  • Transformations and invariance in the sensitivity analysis of computer experiments

    Emanuele Borgonovo;S. Tarantola;E. Plischke;M. D. Morris

  • A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment.

    S. Cucurachi;S. Cucurachi;E. Borgonovo;R. Heijungs;R. Heijungs

  • Sampling strategies in density-based sensitivity analysis

    W. Castaings;E. Borgonovo;M. D. Morris;S. Tarantola

  • The reliability importance of components and prime implicants in coherent and non-coherent systems including total-order interactions

    Emanuele Borgonovo

Frequent Co-Authors

Valentina Bosetti
Valentina Bosetti Bocconi University
Stefano Tarantola
Stefano Tarantola Joint Research Centre
Marzio Galeotti
Marzio Galeotti University of Milan
Massimo Marinacci
Massimo Marinacci Bocconi University
Massimo Tavoni
Massimo Tavoni Polytechnic University of Milan
Jürgen Teich
Jürgen Teich University of Erlangen-Nuremberg
Andrea Saltelli
Andrea Saltelli UPF Barcelona School of Management
Enrico Zio
Enrico Zio Polytechnic University of Milan
Fabio Maccheroni
Fabio Maccheroni Bocconi University

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