Jonathan D. Herman
Computational Theory and Mathematics · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 19 citations into it
- Artificial Intelligence — 18 citations into it
- Water Science and Technology — 16 citations into it
- Environmental Engineering — 14 citations into it
- Global and Planetary Change — 9 citations into it
- Ocean Engineering — 6 citations into it
- Civil and Structural Engineering — 5 citations into it
Whom Jonathan D. Herman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Wagener
- Hoshin V. Gupta
- Andrea Saltelli
- Shlomo P. Neuman
- Soroosh Sorooshian
- Qingyun Duan
- M. Clark
- Luis A. Bastidas
- David E. Goldberg
- Dmitri Kavetski
Who trusts Jonathan D. Herman overall
Papers from Jonathan D. Herman's perspective
Ordered by how strongly the researchers Jonathan D. Herman trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood Bayesian averaging of uncertain model predictions
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- The future of distributed models: model calibration and uncertainty prediction.
- Making best use of model evaluations to compute sensitivity indices
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- Model identification for hydrological forecasting under uncertainty
- Multi-model ensemble hydrologic prediction using Bayesian model averaging
- A framework for development and application of hydrological models (Hydrology and Earth System Sciences)
- Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods