Ilias Pechlivanidis
Water Science and Technology · 2014–2017
A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 23 citations into it
- Environmental Engineering — 20 citations into it
- Global and Planetary Change — 19 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Ilias Pechlivanidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hoshin V. Gupta
- Demetris Koutsoyiannis
- B. Schaefli
- Vijay P. Singh
- Thorsten Wagener
- H. Kling
- Koray K. Yilmaz
- Soroosh Sorooshian
- Thomas Schreiber
- Steven V. Weijs
Papers from Ilias Pechlivanidis's perspective
Ordered by how strongly the researchers Ilias Pechlivanidis trusts endorse each paper. Same corpus, a different order for every researcher.
- Multi-objective global optimization for hydrologic models
- Reconciling theory with observations: elements of a diagnostic approach to model evaluation
- Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
- HESS Opinions "A random walk on water"
- Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- Uncertainty, entropy, scaling and hydrological stochastics. 1. Marginal distributional properties of hydrological processes and state scaling / Incertitude, entropie, effet d'échelle et propriétés…
- Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework
- Uncertainty, entropy, scaling and hydrological stochastics. 2. Time dependence of hydrological processes and time scaling / Incertitude, entropie, effet d'échelle et propriétés stochastiques…
- Do Nash values have value?
Their papers
- Intercomparison of regional-scale hydrological models and climate change impacts projected for 12 large river basins worldwide—a synthesis (2017) — 145 citations
- Robust informational entropy-based descriptors of flow in catchment hydrology (2016) — 53 citations
- Use of an entropy‐based metric in multiobjective calibration to improve model performance (2014) — 62 citations