Claudia Schillings
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- Probabilistic and Robust Engineering Design 13
- Numerical Analysis top 10%
- Mathematical Approximation and Integration 7
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- Advanced Multi-Objective Optimization Algorithms 4
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 3
- Mathematical Physics top 10%
- Numerical methods in inverse problems 4
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- Gaussian Processes and Bayesian Inference 8
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- Reservoir Engineering and Simulation Methods 4
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- Nuclear reactor physics and engineering 3
- Co-authors
- Christoph SchwabVolker SchulzAndrew M. StuartCh. SchwabDirk BlömkerStephan SchmidtRalf HiptmairG. von Winckel
- Cited by
- Statistics, Probability and UncertaintyNumerical AnalysisComputational Theory and Mathematics
- Journals
- Inverse Problems (5 papers)SIAM/ASA Journal on Uncertainty Quantification (4 papers)SIAM Journal on Numerical Analysis (2 papers)
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Claudia Schillings
29 papers receiving 450 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Statistics, Probability and Uncertainty 253
- Numerical Analysis 54
- Computational Theory and Mathematics 132
- Statistics and Probability 61
- Mathematical Physics 50
Countries citing papers authored by Claudia Schillings
This map shows the geographic impact of Claudia Schillings'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 Claudia Schillings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Schillings more than expected).
Fields of papers citing papers by Claudia Schillings
This network shows the impact of papers produced by Claudia Schillings. 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 Claudia Schillings. The network helps show where Claudia Schillings may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudia Schillings, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 evolution on a dynamic immune landscapebreakdown → | 2025 | 17 |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 23 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 30 | |
| 14 | A strongly convergent numerical scheme from EnKF continuum analysis | 2017 | 1 |
| 15 | 2017 | 17 | |
| 16 | 2016 | 18 | |
| 17 | 2015 | 14 | |
| 18 | 2014 | 20 | |
| 19 | 2013 | 1 | |
| 20 | 2012 | 2 |
About Claudia Schillings
Claudia Schillings is a scholar working on Statistics, Probability and Uncertainty, Numerical Analysis and Statistics and Probability, having authored 30 papers that have together received 495 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (13 papers), Gaussian Processes and Bayesian Inference (8 papers), Mathematical Approximation and Integration (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Reservoir Engineering and Simulation Methods (4 papers), Numerical methods in inverse problems (4 papers), Nuclear reactor physics and engineering (3 papers) and Markov Chains and Monte Carlo Methods (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (253 citations), Numerical Analysis (54 citations) and Computational Theory and Mathematics (132 citations). Claudia Schillings has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Christoph Schwab, Volker Schulz, Andrew M. Stuart, Ch. Schwab, Dirk Blömker, Stephan Schmidt, Ralf Hiptmair, G. von Winckel, Alfio Borzı̀ and Ian H. Sloan. Their work appears in journals such as Inverse Problems, SIAM/ASA Journal on Uncertainty Quantification, SIAM Journal on Numerical Analysis, GAMM-Mitteilungen and Numerische Mathematik.
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.