Reinhard Furrer

Global and Planetary Change · 2006–2020

A researcher in the Science corpus: 9 papers; trusts 69 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 76 citations into it; #410 of 10,225 by trust here, #1,810 by citations
• Environmental Engineering — 48 citations into it; #565 of 5,479 by trust here, #1,521 by citations
• Atmospheric Science — 46 citations into it; #240 of 4,804 by trust here, #813 by citations
• Statistics and Probability — 38 citations into it
• Economics and Econometrics — 34 citations into it
• Finance — 24 citations into it
• Artificial Intelligence — 21 citations into it
• Management Science and Operations Research — 13 citations into it; #4,900 of 11,946 by trust here, #2,241 by citations

Whom Reinhard Furrer trusts overall

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

1. Thomas M. Hamill
2. Tilmann Gneiting
3. J. Whitaker
4. G. Salvadori
5. Alan E. Gelfand
6. C. Tebaldi
7. P. Houtekamer
8. D. Nychka
9. András Bárdossy
10. Sudipto Banerjee

Who trusts Reinhard Furrer overall

1. Tommaso Cai
2. Jeffrey L. Anderson
3. Marc Bocquet
4. Reto Knutti
5. Mohsen Pourahmadi
6. Cari Kaufman
7. Marc G. Genton
8. Michael L. Stein
9. Yan Chen
10. Alexandre Anozé Emerick

Papers from Reinhard Furrer's perspective

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

1. Hierarchical Modeling and Analysis for Spatial Data
2. Interpolation of spatial data
3. The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
5. Sampling-Based Approaches to Calculating Marginal Densities
6. An Introduction to Statistical Modeling of Extreme Values
7. Monte Carlo Statistical Methods
8. Statistics of extremes in hydrology
9. A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
10. Multivariate hydrological frequency analysis using copulas

Their papers

• Multivariate Bayesian analysis of atmosphere–ocean general circulation models (2007) — 135 citations
• Challenges in Combining Projections from Multiple Climate Models (2010) — 1,243 citations
• A Case Study Competition Among Methods for Analyzing Large Spatial Data (2017) — 458 citations
• Maximum likelihood estimation of spatially varying coefficient models for large data with an application to real estate price prediction (2020) — 53 citations
• Modeling the spatial dependence of floods using the Fisher copula (2019) — 66 citations
• Estimation and prediction using generalized Wendland covariance functions under fixed domain asymptotics (2016) — 81 citations
• Statistical modeling of hot spells and heat waves. (2010) — 84 citations
• Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants (2007) — 423 citations
• Covariance Tapering for Interpolation of Large Spatial Datasets (2006) — 775 citations