Steven V. Weijs

Global and Planetary Change · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 23 citations into it; #5,272 of 10,225 by trust here, #7,711 by citations
• Environmental Engineering — 13 citations into it; #4,101 of 5,479 by trust here, #3,797 by citations
• Water Science and Technology — 13 citations into it; #1,159 of 1,711 by trust here, #1,033 by citations
• Atmospheric Science — 8 citations into it; #1,496 of 4,804 by trust here, #2,873 by citations
• Statistical and Nonlinear Physics — 7 citations into it
• Information Theory — 6 citations into it
• History and Philosophy of Science — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Steven V. Weijs trusts overall

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

1. Demetris Koutsoyiannis
2. Hoshin V. Gupta
3. J. Bernardo
4. G. Schoups
5. Jasper A. Vrugt
6. Riccardo Benedetti
7. Ray J. Solomonoff
8. Thorsten Wagener
9. Roman Krzysztofowicz
10. Robert Leonard

Who trusts Steven V. Weijs overall

1. Julia Tödter
2. Wei Gong
3. Bodo Ahrens
4. Hoshin V. Gupta
5. G. Schoups
6. Dawen Yang
7. Ilias Pechlivanidis

Papers from Steven V. Weijs's perspective

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

1. Reconciling theory with observations: elements of a diagnostic approach to model evaluation
2. HESS Opinions "A random walk on water"
3. A Mathematical Theory of Communication
4. Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés…
5. Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
6. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
7. Information Theory and Statistical Mechanics
8. Expected Information as Expected Utility
9. Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
10. Probability theory: the logic of science

Their papers

• A philosophical basis for hydrological uncertainty (2016) — 143 citations
• Kullback–Leibler Divergence as a Forecast Skill Score with Classic Reliability–Resolution–Uncertainty Decomposition (2010) — 97 citations
• Why hydrological predictions should be evaluated using information theory (2010) — 127 citations