Benedikt Gräler

Global and Planetary Change · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 33 citations into it; #1,244 of 10,225 by trust here, #3,676 by citations
• Environmental Engineering — 29 citations into it; #642 of 5,479 by trust here, #2,232 by citations
• Statistics and Probability — 28 citations into it; #8,984 of 12,932 by trust here, #11,487 by citations
• Economics and Econometrics — 22 citations into it; #4,387 of 23,481 by trust here, #10,872 by citations
• Finance — 21 citations into it
• Artificial Intelligence — 16 citations into it
• Water Science and Technology — 12 citations into it
• Atmospheric Science — 8 citations into it

Whom Benedikt Gräler trusts overall

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

1. András Bárdossy
2. G. Salvadori
3. Hannes Kazianka
4. Kjersti Aas
5. Carlo De Michele
6. Christian P. Robert
7. Claudia Czado
8. Daniel Berg
9. Edzer J. Pebesma
10. Jürgen Pilz

Who trusts Benedikt Gräler overall

1. Tomislav Hengl
2. A. Daneshkhah
3. Pavel Krupskii
4. M. Brunner
5. Madlene Nussbaum
6. Renji Remesan
7. Raphaël Huser
8. Reinhard Furrer
9. Marvin N. Wright
10. Omid Chatrabgoun

Papers from Benedikt Gräler's perspective

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

1. Extremes in Nature : an approach using Copulas
2. Copula goodness-of-fit testing: an overview and power comparison
3. Fonctions de repartition a n dimensions et leurs marges
4. Frequency analysis via copulas: Theoretical aspects and applications to hydrological events
5. Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
6. Vines: A new graphical model for dependent random variables
7. Bivariate return periods via 2-Copulas
8. Gumbel–Hougaard Copula for Trivariate Rainfall Frequency Analysis
9. Fully Nested 3-Copula: Procedure and Application on Hydrological Data
10. A multivariate model of sea storms using copulas

Their papers

• Modelling skewed spatial random fields through the spatial vine copula (2014) — 113 citations
• Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018) — 919 citations
• Spatio-Temporal Interpolation using gstat (2016) — 788 citations
• The pair-copula construction for spatial data: a new approach to model spatial dependency (2011) — 70 citations
• Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation (2012) — 301 citations