Wolfgang Nowak

Environmental Engineering · 2004–2016

A researcher in the Science corpus: 12 papers; trusts 53 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 116 citations into it; #317 of 5,479 by trust here, #1,430 by citations
• Civil and Structural Engineering — 63 citations into it; #4,954 of 6,160 by trust here, #4,007 by citations
• Statistics and Probability — 60 citations into it; #4,800 of 12,932 by trust here, #6,310 by citations
• Water Science and Technology — 29 citations into it; #163 of 1,711 by trust here, #1,322 by citations
• Ocean Engineering — 28 citations into it; #995 of 3,193 by trust here, #2,290 by citations
• Mechanical Engineering — 21 citations into it; #2,502 of 8,300 by trust here, #6,237 by citations
• Artificial Intelligence — 20 citations into it
• Global and Planetary Change — 19 citations into it

Whom Wolfgang Nowak trusts overall

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

1. Olaf A. Cirpka
2. H. H. Franssen
3. Timothy A. Davis
4. Peter J. Diggle
5. Geir Evensen
6. Yan Chen
7. Dongxiao Zhang
8. Shlomo P. Neuman
9. Wolfgang Kinzelbach
10. Wei Li

Who trusts Wolfgang Nowak overall

1. Sergey Oladyshkin
2. Yoram Rubin
3. Jonghyun Lee
4. F. P. J. D. Barros
5. Wei Li
6. Philipp C. Leube
7. Haiyan Zhou
8. Olaf A. Cirpka
9. Peter K. Kitanidis
10. Pinar Çivicioglu

Papers from Wolfgang Nowak's perspective

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

1. Data assimilation for transient flow in geologic formations via ensemble Kalman filter
2. An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions
3. The Ensemble Kalman Filter: theoretical formulation and practical implementation
4. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
5. A Simplex Method for Function Minimization
6. A review of algebraic multigrid
7. Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data
8. A manifesto for the equifinality thesis
9. A modified Levenberg-Marquardt algorithm for quasi-linear geostatistical inversing
10. The future of distributed models: model calibration and uncertainty prediction.

Their papers

• Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012) — 453 citations
• Global sensitivity analysis: a flexible and efficient framework with an example from stochastic hydrogeology (2012) — 75 citations
• A concept for data-driven uncertainty quantification and its application to carbon dioxide storage in geological formations (2011) — 106 citations
• Modeling Soil Processes: Review, Key Challenges, and New Perspectives (2016) — 696 citations
• Bayesian updating via bootstrap filtering combined with data-driven polynomial chaos expansions: methodology and application to history matching for carbon dioxide storage in geological formations (2013) — 51 citations
• A hypothesis‐driven approach to optimize field campaigns (2012) — 51 citations
• Bayesian assessment of the expected data impact on prediction confidence in optimal sampling design (2012) — 75 citations
• Bayesian geostatistical design: Task‐driven optimal site investigation when the geostatistical model is uncertain (2010) — 126 citations
• Best unbiased ensemble linearization and the quasi‐linear Kalman ensemble generator (2009) — 96 citations
• Impact of sampling volume on the probability density function of steady state concentration (2008) — 59 citations
• Geostatistical inference of hydraulic conductivity and dispersivities from hydraulic heads and tracer data (2006) — 77 citations
• A modified Levenberg-Marquardt algorithm for quasi-linear geostatistical inversing (2004) — 88 citations