Jim W. Hall
Statistics and Probability · 2003–2020
A researcher in the Science corpus: 10 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 34 citations into it
- Global and Planetary Change — 30 citations into it
- Environmental Engineering — 24 citations into it; #1,701 of 5,479 by trust here, #2,609 by citations
- Management Science and Operations Research — 20 citations into it
- Water Science and Technology — 20 citations into it; #366 of 1,711 by trust here, #1,371 by citations
- Economics and Econometrics — 19 citations into it
- Ocean Engineering — 17 citations into it
- Computational Theory and Mathematics — 14 citations into it
Whom Jim W. Hall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeremy E. Oakley
- Amos Tversky
- C. Storlie
- Andrea Saltelli
- Keith Beven
- Anthony OʼHagan
- Emanuele Borgonovo
- Philippe Smets
- Thorsten Wagener
- Laura Painton Swiler
Who trusts Jim W. Hall overall
Papers from Jim W. Hall's perspective
Ordered by how strongly the researchers Jim W. Hall trusts endorse each paper. Same corpus, a different order for every researcher.
- Probabilistic sensitivity analysis of complex models: a Bayesian approach
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
- Shaping the next one hundred years
- From screening to quantitative sensitivity analysis. A unified approach (Computer Physics Communications)
- Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models (Reliability Engineering & System Safety)
- Uncertain Judgements: Eliciting Experts' Probabilities
- An effective screening design for sensitivity analysis of large models (Environmental Modelling & Software)
- A new uncertainty importance measure (Reliability Engineering & System Safety)
Their papers
- Infrastructure for sustainable development (2019) — 636 citations
- Sensitivity analysis of environmental models: A systematic review with practical workflow (2014) — 1,428 citations
- The effects of changing land use and flood hazard on poverty in coastal Bangladesh (2020) — 169 citations
- Delivering on the Sustainable Development Goals through long-term infrastructure planning (2019) — 156 citations
- Meat consumption, health, and the environment (2018) — 1,769 citations
- The Economic Impacts of Droughts: A Framework for Analysis (2017) — 122 citations
- Securing Water, Sustaining Growth: Report of the GWP/OECD Task Force on Water Security and Sustainable Growth (2015) — 151 citations
- Assessing the effectiveness of non-structural flood management measures in the Thames Estuary under conditions of socio-economic and environmental change (2011) — 210 citations
- Sensitivity Analysis for Hydraulic Models (2009) — 99 citations
- Handling uncertainty in the hydroinformatic process (2003) — 83 citations