Francesca Pianosi

Statistics and Probability · 2010–2016

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 46 citations into it; #5,560 of 12,932 by trust here, #4,371 by citations
• Environmental Engineering — 19 citations into it; #2,367 of 5,479 by trust here, #2,609 by citations
• Civil and Structural Engineering — 18 citations into it; #2,209 of 6,160 by trust here, #4,007 by citations
• Computational Theory and Mathematics — 18 citations into it
• Water Science and Technology — 18 citations into it
• Global and Planetary Change — 16 citations into it
• Mechanics of Materials — 9 citations into it

Whom Francesca Pianosi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrea Saltelli
2. Emanuele Borgonovo
3. Thorsten Wagener
4. Francesca Campolongo
5. Elmar Plischke
6. Jiri Nossent
7. Jing Yang
8. Ilya M. Sobol
9. Keith Beven
10. Bruno Sudret

Who trusts Francesca Pianosi overall

1. Fanny Sarrazin
2. Aynom T. Teweldebrhan
3. Thorsten Wagener
4. Saman Razavi
5. John F. Burkhart
6. Thomas V. Schuler
7. B. Rohner
8. Keith Beven

Papers from Francesca Pianosi's perspective

Ordered by how strongly the researchers Francesca Pianosi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Probabilistic sensitivity analysis of complex models: a Bayesian approach
2. Making best use of model evaluations to compute sensitivity indices
3. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
4. Sensitivity Estimates for Nonlinear Mathematical Models
5. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
6. From screening to quantitative sensitivity analysis. A unified approach (Computer Physics Communications)
7. An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
8. Shaping the next one hundred years
9. Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (Reliability Engineering & System Safety)
10. A new uncertainty importance measure (Reliability Engineering & System Safety)

Their papers

• Global Sensitivity Analysis of environmental models: Convergence and validation (2016) — 328 citations
• Sensitivity analysis of environmental models: A systematic review with practical workflow (2014) — 1,428 citations
• A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015) — 467 citations
• A Matlab toolbox for Global Sensitivity Analysis (2015) — 604 citations
• A multiobjective response surface approach for improved water quality planning in lakes and reservoirs (2010) — 53 citations