Hilary K. McMillan

Water Science and Technology · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Water Science and Technology — 44 citations into it; #881 of 1,711 by trust here, #1,322 by citations
• Global and Planetary Change — 37 citations into it; #5,857 of 10,225 by trust here, #9,949 by citations
• Environmental Engineering — 30 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Hilary K. McMillan trusts overall

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

1. Keith Beven
2. Pranab Kumar Sen
3. Hoshin V. Gupta
4. Uwe Ehret
5. Roberta-Serena Blasone
6. A. Binley
7. Demetris Koutsoyiannis
8. Louise Crochemore
9. E. Zehe
10. Jasper A. Vrugt

Who trusts Hilary K. McMillan overall

1. M. Hrachowitz
2. M. Clark

Papers from Hilary K. McMillan's perspective

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

1. Do Nash values have value?
2. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
3. Multi-objective global optimization for hydrologic models
4. Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
5. Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models
6. Reconciling theory with observations: elements of a diagnostic approach to model evaluation
7. The future of distributed models: model calibration and uncertainty prediction.
8. HESS Opinions "A random walk on water"
9. On typical range, sensitivity, and normalization of Mean Squared Error and Nash‐Sutcliffe Efficiency type metrics
10. Series distance – an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events

Their papers

• Robust informational entropy-based descriptors of flow in catchment hydrology (2016) — 53 citations
• Rating curve estimation under epistemic uncertainty (2015) — 91 citations
• Use of an entropy‐based metric in multiobjective calibration to improve model performance (2014) — 62 citations
• Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models (2011) — 260 citations