Sergey Oladyshkin

Statistics and Probability · 2011–2013

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 46 citations into it; #4,767 of 12,932 by trust here, #6,310 by citations
• Environmental Engineering — 39 citations into it; #3,660 of 5,479 by trust here, #4,165 by citations
• Civil and Structural Engineering — 25 citations into it
• Ocean Engineering — 12 citations into it
• Statistical and Nonlinear Physics — 10 citations into it; #3,754 of 10,127 by trust here, #7,747 by citations
• Mechanical Engineering — 8 citations into it

Whom Sergey Oladyshkin trusts overall

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

1. Heng Li
2. Dongbin Xiu
3. Bruno Sudret
4. Wolfgang Nowak
5. G. Em Karniadakis
6. Xiaoliang Wan
7. Christian Soize
8. Mircea Dan Grigoriu
9. Dongxiao Zhang
10. Roger G. Ghanem

Who trusts Sergey Oladyshkin overall

1. Wolfgang Nowak
2. M. Rajabi
3. Benjamin Gaudette
4. Holger Class
5. B. Ataie‐Ashtiani
6. Carole-Jean Wu
7. Craig T. Simmons
8. John D. Jakeman
9. F. D. Barros
10. Sarma B. K. Vrudhula

Papers from Sergey Oladyshkin's perspective

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

1. The Wiener-Askey Polynomial Chaos for Stochastic Differential Equations (SIAM Journal on Scientific Computing)
2. Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (SIAM Journal on Scientific Computing)
3. Inverse problem theory - and methods for model parameter estimation
4. Stochastic spectral methods for efficient Bayesian solution of inverse problems (Journal of Computational Physics)
5. Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos
6. Global sensitivity analysis using polynomial chaos expansions (Reliability Engineering & System Safety)
7. Modeling uncertainty in flow simulations via generalized polynomial chaos
8. Kernel Smoothing
9. Probabilistic collocation method for flow in porous media: Comparisons with other stochastic methods
10. Efficient Collocational Approach for Parametric Uncertainty Analysis (Communications in Computational Physics)

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
• 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