Roland Schöbi

1.0k total citations
14 papers, 720 citations indexed

About

Roland Schöbi is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Roland Schöbi has authored 14 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 7 papers in Computational Theory and Mathematics and 6 papers in Civil and Structural Engineering. Recurrent topics in Roland Schöbi's work include Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Optimal Experimental Design Methods (5 papers). Roland Schöbi is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Optimal Experimental Design Methods (5 papers). Roland Schöbi collaborates with scholars based in Switzerland, France and Canada. Roland Schöbi's co-authors include Bruno Sudret, Joe Wiart, Stefano Marelli and Eleni Chatzi and has published in prestigious journals such as Journal of Computational Physics, Reliability Engineering & System Safety and Probabilistic Engineering Mechanics.

In The Last Decade

Roland Schöbi

14 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Roland Schöbi Switzerland	8	596	312	253	118	97	14	720
Chunyan Ling China	15	591 1.0×	272 0.9×	264 1.0×	129 1.1×	125 1.3×	39	733
Harok Bae United States	11	525 0.9×	265 0.8×	204 0.8×	78 0.7×	63 0.6×	44	631
François Deheeger France	3	686 1.2×	291 0.9×	318 1.3×	190 1.6×	128 1.3×	3	772
Nicolas Relun France	5	569 1.0×	241 0.8×	286 1.1×	142 1.2×	75 0.8×	7	642
Beiqing Huang United States	7	626 1.1×	241 0.8×	303 1.2×	139 1.2×	77 0.8×	11	688
Xiukai Yuan China	15	584 1.0×	301 1.0×	190 0.8×	87 0.7×	158 1.6×	32	703
Sinan Xiao China	17	624 1.0×	328 1.1×	177 0.7×	100 0.8×	125 1.3×	47	792
V. Dubourg France	3	510 0.9×	225 0.7×	219 0.9×	134 1.1×	95 1.0×	5	559
Diego A. Álvarez Colombia	15	607 1.0×	474 1.5×	185 0.7×	113 1.0×	106 1.1×	29	873
Robert H. Sues United States	14	525 0.9×	391 1.3×	280 1.1×	98 0.8×	122 1.3×	39	763

Countries citing papers authored by Roland Schöbi

Since Specialization

Citations

This map shows the geographic impact of Roland Schöbi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roland Schöbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Schöbi more than expected).

Fields of papers citing papers by Roland Schöbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland Schöbi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roland Schöbi. The network helps show where Roland Schöbi may publish in the future.

Co-authorship network of co-authors of Roland Schöbi

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Schöbi. A scholar is included among the top collaborators of Roland Schöbi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roland Schöbi. Roland Schöbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Schöbi, Roland & Bruno Sudret. (2018). Global sensitivity analysis in the context of imprecise probabilities (p-boxes) using sparse polynomial chaos expansions. Reliability Engineering & System Safety. 187. 129–141. 53 indexed citations

Schöbi, Roland & Bruno Sudret. (2017). Uncertainty propagation of p-boxes using sparse polynomial chaos expansions. Journal of Computational Physics. 339. 307–327. 57 indexed citations

Schöbi, Roland & Bruno Sudret. (2017). Structural reliability analysis for p-boxes using multi-level meta-models. Probabilistic Engineering Mechanics. 48. 27–38. 84 indexed citations

Schöbi, Roland & Bruno Sudret. (2017). Application of conditional random fields and sparse polynomial chaos expansions in structural reliability analysis. Repository for Publications and Research Data (ETH Zurich). 1356–1363. 2 indexed citations

Schöbi, Roland & Bruno Sudret. (2016). Multi-level meta-modelling in imprecise structural reliability analysis. Repository for Publications and Research Data (ETH Zurich). 365–370. 1 indexed citations

Schöbi, Roland, Bruno Sudret, & Stefano Marelli. (2016). Rare Event Estimation Using Polynomial-Chaos Kriging. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 3(2). 208 indexed citations

Schöbi, Roland & Bruno Sudret. (2016). Comparing probabilistic and p-box input modelling in structural reliability analysis. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

Schöbi, Roland & Bruno Sudret. (2015). Imprecise structural reliability analysis using PC-Kriging. Repository for Publications and Research Data (ETH Zurich). 4197–4205. 2 indexed citations

Schöbi, Roland, Bruno Sudret, & Joe Wiart. (2015). POLYNOMIAL-CHAOS-BASED KRIGING. International Journal for Uncertainty Quantification. 5(2). 171–193. 255 indexed citations

10.

Schöbi, Roland & Eleni Chatzi. (2015). Maintenance planning using continuous-state partially observable Markov decision processes and non-linear action models. Structure and Infrastructure Engineering. 12(8). 977–994. 36 indexed citations

11.

Schöbi, Roland & Bruno Sudret. (2015). Propagation of uncertainties modelled by parametric p-boxes using sparse polynomial chaos expansions. Repository for Publications and Research Data (ETH Zurich). 116. 7 indexed citations

12.

Sudret, Bruno & Roland Schöbi. (2014). PC-Kriging: the best of polynomial chaos expansions and Gaussian process modelling: the best of polynominal chaos expansions and Gaussian process modelling. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations

13.

Schöbi, Roland & Bruno Sudret. (2014). PC-Kriging: A new meta-modelling method and its application to quantile estimation. Repository for Publications and Research Data (ETH Zurich). 3 indexed citations

14.

Schöbi, Roland & Bruno Sudret. (2014). Combining polynomial chaos expansions and Kriging for solving structural reliability problems. Repository for Publications and Research Data (ETH Zurich). 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact