Ibrahim Hoteit

Atmospheric Science · 2008–2015

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Atmospheric Science — 13 citations into it; #3,119 of 4,804 by trust here, #3,801 by citations
• Artificial Intelligence — 11 citations into it
• Global and Planetary Change — 10 citations into it; #6,401 of 10,225 by trust here, #8,219 by citations
• Statistics and Probability — 8 citations into it
• Oceanography — 7 citations into it; #3,140 of 4,047 by trust here, #3,539 by citations
• Signal Processing — 6 citations into it
• Computational Mechanics — 5 citations into it
• Environmental Engineering — 5 citations into it

Whom Ibrahim Hoteit trusts overall

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

1. Dinh Tuan Pham
2. Jeffrey L. Anderson
3. Geir Evensen
4. Bernard Walter Silverman
5. Joel A. Tropp
6. J. Whitaker
7. Rong Chen
8. Michael Elad
9. Thomas M. Hamill
10. Hirotugu Akaike

Who trusts Ibrahim Hoteit overall

1. van Leeuwen
2. Kody J. H. Law
3. Pavel Sakov
4. Alberto Carrassi
5. Marc Bocquet
6. Laurent Bertino
7. P. Jan
8. Andrew M. Stuart
9. Dean S. Oliver
10. Hamid Bazargan

Papers from Ibrahim Hoteit's perspective

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

1. An Ensemble Adjustment Kalman Filter for Data Assimilation
2. Stochastic Methods for Sequential Data Assimilation in Strongly Nonlinear Systems
3. Deterministic nonperiodic flow
4. The Ensemble Kalman Filter: theoretical formulation and practical implementation
5. Regression Shrinkage and Selection via the Lasso
6. Ensemble Data Assimilation without Perturbed Observations
7. Density Estimation for Statistics and Data Analysis
8. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
9. Implications of Stochastic and Deterministic Filters as Ensemble-Based Data Assimilation Methods in Varying Regimes of Error Growth
10. A Local Least Squares Framework for Ensemble Filtering

Their papers

• Mitigating Observation Perturbation Sampling Errors in the Stochastic EnKF (2015) — 67 citations
• Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates (2014) — 96 citations
• A New Approximate Solution of the Optimal Nonlinear Filter for Data Assimilation in Meteorology and Oceanography (2008) — 139 citations