Yoram Rubin

Environmental Engineering · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 38 citations into it; #2,906 of 5,479 by trust here, #2,867 by citations
• Ocean Engineering — 11 citations into it
• Statistics and Probability — 11 citations into it
• Water Science and Technology — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Civil and Structural Engineering — 9 citations into it; #5,618 of 6,160 by trust here, #5,794 by citations
• Mechanical Engineering — 9 citations into it; #6,363 of 8,300 by trust here, #7,024 by citations

Whom Yoram Rubin trusts overall

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

1. Wolfgang Nowak
2. Peter J. Diggle
3. Shlomo P. Neuman
4. Ted Chang
5. Junfeng Zhu
6. Ming Ye
7. F. P. J. D. Barros
8. Olaf A. Cirpka
9. Jonathan A. Tawn
10. Jennifer A. Hoeting

Who trusts Yoram Rubin overall

1. Wolfgang Nowak
2. Haiyan Zhou
3. Peigui Liu
4. J. Jaime Gómez-Hernández
5. F. P. J. D. Barros

Papers from Yoram Rubin's perspective

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

1. Maximum likelihood Bayesian averaging of uncertain model predictions
2. Model‐based geostatistics
3. Applied Regression Including Computing and Graphics
4. Data assimilation for transient flow in geologic formations via ensemble Kalman filter
5. A modified Levenberg-Marquardt algorithm for quasi-linear geostatistical inversing
6. Bayesian statistics without tears: A sampling-resampling perspective
7. Bayesian geostatistical design: Task‐driven optimal site investigation when the geostatistical model is uncertain
8. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
9. The Matérn function as a general model for soil variograms
10. A method for enforcing parameter nonnegativity in Bayesian inverse problems with an application to contaminant source identification

Their papers

• A hypothesis‐driven approach to optimize field campaigns (2012) — 51 citations
• Bayesian geostatistical design: Task‐driven optimal site investigation when the geostatistical model is uncertain (2010) — 126 citations
• A Bayesian approach for inverse modeling, data assimilation, and conditional simulation of spatial random fields (2010) — 93 citations
• Transport in heterogeneous sediments with multimodal conductivity and hierarchical organization across scales (2004) — 83 citations