Elisabeth Ullmann
Impact in
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- Probabilistic and Robust Engineering Design
- Computational Mathematics top 5%
Papers in
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- Probabilistic and Robust Engineering Design 18
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- Advanced Numerical Methods in Computational Mathematics 8
- Co-authors
- Oliver G. Ernst (6 shared papers)Hans-Jörg Starkloff (1 shared paper)Robert Scheichl (2 shared papers)Iason Papaioannou (5 shared papers)Aretha L. Teckentrup (1 shared paper)Michael B. Giles (1 shared paper)Jonas Latz (6 shared papers)Michael Eiermann (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (6 papers)The Journal of Physiology (5 papers)SIAM/ASA Journal on Uncertainty Quantification (4 papers)SIAM Journal on Matrix Analysis and Applications (2 papers)Basic Research in Cardiology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Elisabeth Ullmann
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Statistics, Probability and Uncertainty 606
- Computational Mathematics 19
- Speech and Hearing 122
- Computational Theory and Mathematics 227
- Statistical and Nonlinear Physics 161
Countries citing papers authored by Elisabeth Ullmann
This map shows the geographic impact of Elisabeth Ullmann'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 Elisabeth Ullmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth Ullmann more than expected).
Fields of papers citing papers by Elisabeth Ullmann
This network shows the impact of papers produced by Elisabeth Ullmann. 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 Elisabeth Ullmann. The network helps show where Elisabeth Ullmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Elisabeth Ullmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 273 | |
| 2 | 2017 | 192 | |
| 3 | 2013 | 106 | |
| 4 | 2007 | 66 | |
| 5 | 2018 | 64 | |
| 6 | 2010 | 47 | |
| 7 | 2010 | 43 | |
| 8 | 2009 | 40 | |
| 9 | 2022 | 37 | |
| 10 | 2017 | 31 | |
| 11 | 1951 | 31 | |
| 12 | 1961 | 30 | |
| 13 | 2018 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 1961 | 29 | |
| 16 | 2020 | 28 | |
| 17 | 2012 | 26 | |
| 18 | 2019 | 19 | |
| 19 | 2010 | 14 | |
| 20 | 2020 | 13 |
About Elisabeth Ullmann
Elisabeth Ullmann is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Endocrine and Autonomic Systems, Physiology and Molecular Biology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (18 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Neuroscience of respiration and sleep (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Electromagnetic Scattering and Analysis (3 papers), Mathematical Approximation and Integration (2 papers), Metabolism and Genetic Disorders (2 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (606 citations), Computational Mathematics (19 citations), Speech and Hearing (122 citations), Computational Theory and Mathematics (227 citations) and Statistical and Nonlinear Physics (161 citations). Elisabeth Ullmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Oliver G. Ernst, Hans-Jörg Starkloff, Robert Scheichl, Iason Papaioannou, Aretha L. Teckentrup, Michael B. Giles, Jonas Latz, Michael Eiermann, Thomas Münzel and Andreas Daiber. Their work appears in journals such as SIAM Journal on Scientific Computing, The Journal of Physiology, SIAM/ASA Journal on Uncertainty Quantification, SIAM Journal on Matrix Analysis and Applications and Basic Research in Cardiology.
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.