Ilja Kröker

Sitert av

	Alle	Siden 2020
Sitater	288	185
h-indeks	10	8
i10-indeks	10	7

20102011201220132014201520162017201820192020202120222023202420251 1 2 1 9 11 13 14 22 21 32 27 19 56 29 22

Offentlig tilgang

Vis alle

12 artikler

8 artikler

tilgjengelige

ikke tilgjengelige

Basert på finansieringsmandater

Medforfattere

Christian RohdeUniversität StuttgartVerifisert e-postadresse på mathematik.uni-stuttgart.de
Sergey OladyshkinProfessor, University of StuttgartVerifisert e-postadresse på iws.uni-stuttgart.de
Wolfgang NowakStochastic Modelling of Hydrosystems, Universität StuttgartVerifisert e-postadresse på iws.uni-stuttgart.de
Raimund BürgerProfesor Titular, Universidad de ConcepciónVerifisert e-postadresse på ing-mat.udec.cl
Andrea BarthProfessor of Mathematics, University of StuttgartVerifisert e-postadresse på mathematik.uni-stuttgart.de
Gabriele SantinAssistant Professor, Ca' Foscari University of VeniceVerifisert e-postadresse på unive.it
Paul-Christian BürknerFull Professor of Computational Statistics, TU Dortmund UniversityVerifisert e-postadresse på tu-dortmund.de
Dirk PflügerUniversity of StuttgartVerifisert e-postadresse på ipvs.uni-stuttgart.de
Bernard HaasdonkProfessor for Numerical MathematicsVerifisert e-postadresse på mathematik.uni-stuttgart.de
Farid MohammadiPhD StudentVerifisert e-postadresse på iws.uni-stuttgart.de
Sebastian OtteInstitute for Robotics and Cognitive SystemsVerifisert e-postadresse på uni-luebeck.de
Timothy PraditiaPhD Student, Department of Stochastic Simulation and Safety Research for Hydrosystems, Institute forVerifisert e-postadresse på iws.uni-stuttgart.de
Iryna RybakInstitute of Applied Analysis and Numerical Simulation, University of StuttgartVerifisert e-postadresse på ians.uni-stuttgart.de
Leidy Yissedt Lara-DíazUniversidad Católica del MauleVerifisert e-postadresse på ucm.cl
Gerardo ChowellProfessor of Epidemiology & Biostatistics - Georgia State University School of Public HealthVerifisert e-postadresse på gsu.edu
Silke WieprechtInstitut für Wasser- und Umweltsystemmodellierung, Universität StuttgartVerifisert e-postadresse på iws.uni-stuttgart.de
Ana González-NicolásForschungszentrum JülichVerifisert e-postadresse på fz-juelich.de
Luca TrevisanBoSS consultVerifisert e-postadresse på bosscon.de
Holger SteebProfessor for Mechanics, University of StuttgartVerifisert e-postadresse på mechbau.uni-stuttgart.de
M. Assem MayarPost-doctorate researcher

Følg

Ilja Kröker

IWS, Universität Stuttgart

Verifisert e-postadresse på iws.uni-stuttgart.de - Startside

Applied Mathematics Uncertainty Quantification Stochastic Conservation Laws Numerical Simulation Numerical Analysis


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Finite volume schemes for hyperbolic balance laws with multiplicative noise I Kröker, C Rohde Applied Numerical Mathematics 62 (4), 441-456, 2012	54	2012
Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario M Köppel, F Franzelin, I Kröker, S Oladyshkin, G Santin, D Wittwar, ... Computational Geosciences 23, 339-354, 2019	36	2019
A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier‐thickener unit R Bürger, I Kröker, C Rohde ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2014	32	2014
A stochastically and spatially adaptive parallel scheme for uncertain and nonlinear two-phase flow problems I Kröker, W Nowak, C Rohde Computational Geosciences 19, 269-284, 2015	24	2015
Bayesian³ Active Learning for the Gaussian Process Emulator Using Information Theory S Oladyshkin, F Mohammadi, I Kroeker, W Nowak Entropy 22 (8), 890, 2020	23	2020
Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach A Barth, R Bürger, I Kroeker, C Rohde Computers & Chemical Engineering 89, 11-26, 2016	19	2016
Arbitrary multi-resolution multi-wavelet-based polynomial chaos expansion for data-driven uncertainty quantification I Kröker, S Oladyshkin Reliability Engineering & System Safety 222, 108376, 2022	16	2022
A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms PC Bürkner, I Kröker, S Oladyshkin, W Nowak Journal of Computational Physics 488, 112210, 2023	13	2023
Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media M Köppel, I Kröker, C Rohde Computational Geosciences 21, 807-832, 2017	11	2017
Uncertainty Quantification for a Clarifier–Thickener Model with Random Feed R Bürger, I Kröker, C Rohde Finite Volumes for Complex Applications VI Problems & Perspectives: FVCA 6 …, 2011	10	2011
Stochastic modeling for heterogeneous two-phase flow M Köppel, I Kröker, C Rohde Finite Volumes for Complex Applications VII-Methods and Theoretical Aspects …, 2014	9	2014
Computational uncertainty quantification for some strongly degenerate parabolic convection–diffusion equations R Bürger, I Kröker Journal of Computational and Applied Mathematics 348, 490-508, 2019	8	2019
Datasets and executables of data-driven uncertainty quantification benchmark in carbon dioxide storage M Köppel, F Franzelin, I Kröker, S Oladyshkin, D Wittwar, G Santin, ... Zenodo, 2017	6	2017
Finite volume methods for conservation laws with noise I Kröker Finite volumes for complex applications V, 527-534, 2008	6	2008
Hybrid stochastic Galerkin finite volumes for the diffusively corrected Lighthill-Whitham-Richards traffic model R Bürger, I Kröker Finite Volumes for Complex Applications VIII-Hyperbolic, Elliptic and …, 2017	5	2017
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory S Oladyshkin, T Praditia, I Kroeker, F Mohammadi, W Nowak, S Otte Neural Networks 166, Pages 85-104, 2023	3	2023
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator: concept for bias correction, assessment of surrogate reliability and its application to the … R Kohlhaas, I Kröker, S Oladyshkin, W Nowak Computational Geosciences 27 (3), 369-389, 2023	3	2023
The sparse Polynomial Chaos expansion: A fully Bayesian approach with joint priors on the coefficients and global selection of terms PC Bürkner, I Kröker, S Oladyshkin, W Nowak arXiv preprint arXiv:2204.06043, 2022	3	2022
A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile R Bürger, G Chowell, I Kröker, LY Lara-Díaz Journal of biological dynamics 17 (1), 2256774, 2023	2	2023
Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems I Kröker, S Oladyshkin, I Rybak Computational Geosciences 27 (5), 805-827, 2023	2	2023

Systemet kan ikke utføre handlingen. Prøv på nytt senere.

Artikler 1–20

Sitater per år

Duplikatsitater

Sammenslåtte sitater

Legg til medforfattereMedforfattere

Følg

Sitert av

Medforfattere