Joseph H. A. Guillaume
Water Science and Technology · 2013–2020
A researcher in the Science corpus: 9 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 77 citations into it
- Statistics and Probability — 76 citations into it
- Environmental Engineering — 49 citations into it
- Civil and Structural Engineering — 20 citations into it
- Mechanics of Materials — 15 citations into it
Whom Joseph H. A. Guillaume trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hoshin V. Gupta
- Andrea Saltelli
- Matti Kummu
- Warren E. Walker
- K. Klein Goldewijk
- Thorsten Wagener
- Jasper A. Vrugt
- Yoshihide Wada
- Jennifer A. Hoeting
- Jing Yang
Who trusts Joseph H. A. Guillaume overall
Papers from Joseph H. A. Guillaume's perspective
Ordered by how strongly the researchers Joseph H. A. Guillaume trusts endorse each paper. Same corpus, a different order for every researcher.
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- Making best use of model evaluations to compute sensitivity indices
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- Shaping the next one hundred years
- Ten iterative steps in development and evaluation of environmental models (Environmental Modelling & Software)
- From screening to quantitative sensitivity analysis. A unified approach (Computer Physics Communications)
- The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
- A new look at the statistical model identification
- A new uncertainty importance measure (Reliability Engineering & System Safety)
- Modelling guidelinesterminology and guiding principles
Their papers
- Characterising performance of environmental models (2013) — 1,458 citations
- Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015 (2018) — 657 citations
- An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016) — 450 citations
- Local food crop production can fulfil demand for less than one-third of the population (2020) — 193 citations
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020) — 552 citations
- Water stress in global transboundary river basins: significance of upstream water use on downstream stress (2016) — 178 citations
- The world’s road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability (2016) — 798 citations
- A review of foundational methods for checking the structural identifiability of models: Results for rainfall-runoff (2015) — 67 citations
- Addressing ten questions about conceptual rainfall–runoff models with global sensitivity analyses in R (2013) — 183 citations