Emanuele Borgonovo
Statistics and Probability · 2007–2020
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 106 citations into it; #1,080 of 12,932 by trust here, #2,214 by citations
- Computational Theory and Mathematics — 35 citations into it; #6,423 of 12,182 by trust here, #3,924 by citations
- Management Science and Operations Research — 32 citations into it
- Artificial Intelligence — 22 citations into it
- Civil and Structural Engineering — 21 citations into it; #231 of 6,160 by trust here, #2,524 by citations
- Mechanics of Materials — 19 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Safety, Risk, Reliability and Quality — 8 citations into it
Whom Emanuele Borgonovo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrea Saltelli
- Ilya M. Sobol
- Jeremy E. Oakley
- Stefano Tarantola
- H. Christopher Frey
- Anthony OʼHagan
- Bruno Sudret
- Jack P. C. Kleijnen
- Sumeet R. Patil
- Jon C. Helton
Who trusts Emanuele Borgonovo overall
- Francesca Pianosi
- Gaelle Chastaing
- Zdenek Kala
- Clémentine Prieur
- Bertrand Iooss
- Matthias De Lozzo
- Jack P. C. Kleijnen
- Fabrice Gamboa
- M. Rajabi
- Thorsten Wagener
Papers from Emanuele Borgonovo's perspective
Ordered by how strongly the researchers Emanuele Borgonovo trusts endorse each paper. Same corpus, a different order for every researcher.
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Sensitivity Estimates for Nonlinear Mathematical Models
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- Random Forests
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Identification and Review of Sensitivity Analysis Methods (Risk Analysis)
- Making best use of model evaluations to compute sensitivity indices
- ImageNet classification with deep convolutional neural networks
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- Design and Modeling for Computer Experiments
Their papers
- A new uncertainty importance measure (2007) — 997 citations
- Forty years of the European Journal of Operational Research: A bibliometric overview (2017) — 296 citations
- Sensitivity analysis: A review of recent advances (2016) — 1,059 citations
- Global sensitivity measures from given data (2013) — 398 citations
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020) — 552 citations