Elisabeth Ullmann

2.0k total citations
37 papers, 1.2k citations indexed

About

Elisabeth Ullmann is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics and Endocrine and Autonomic Systems. According to data from OpenAlex, Elisabeth Ullmann has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics, Probability and Uncertainty, 8 papers in Computational Mechanics and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Elisabeth Ullmann's work include Probabilistic and Robust Engineering Design (18 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Neuroscience of respiration and sleep (5 papers). Elisabeth Ullmann is often cited by papers focused on Probabilistic and Robust Engineering Design (18 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Neuroscience of respiration and sleep (5 papers). Elisabeth Ullmann collaborates with scholars based in Germany, United Kingdom and United States. Elisabeth Ullmann's co-authors include Oliver G. Ernst, Hans-Jörg Starkloff, Robert Scheichl, Iason Papaioannou, Michael B. Giles, Aretha L. Teckentrup, Jonas Latz, Michael Eiermann, Thomas Münzel and Andreas Daiber and has published in prestigious journals such as The Journal of Physiology, Journal of Computational Physics and European Heart Journal.

In The Last Decade

Elisabeth Ullmann

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisabeth Ullmann Germany 18 605 226 199 159 146 37 1.2k
Søren Lophaven Denmark 17 591 1.0× 702 3.1× 128 0.6× 73 0.5× 178 1.2× 47 2.6k
Mircea Grigoriu United States 16 437 0.7× 76 0.3× 40 0.2× 138 0.9× 208 1.4× 52 866
Wenrui Hao United States 24 230 0.4× 275 1.2× 237 1.2× 170 1.1× 10 0.1× 100 1.8k
Umberto Villa United States 15 143 0.2× 130 0.6× 144 0.7× 104 0.7× 41 0.3× 74 649
Fang Tong China 20 266 0.4× 13 0.1× 50 0.3× 509 3.2× 68 0.5× 90 1.2k
Hyung‐Min Park South Korea 24 97 0.2× 25 0.1× 731 3.7× 214 1.3× 155 1.1× 169 2.1k
Marko Vauhkonen Finland 36 131 0.2× 31 0.1× 242 1.2× 38 0.2× 166 1.1× 156 4.8k
Géraud Blatman France 8 1.9k 3.1× 521 2.3× 100 0.5× 262 1.6× 441 3.0× 13 2.2k
Anindya Roy United States 17 83 0.1× 39 0.2× 68 0.3× 19 0.1× 37 0.3× 73 1.1k
Sei-ichiro SAKATA Japan 23 375 0.6× 441 2.0× 42 0.2× 56 0.4× 38 0.3× 124 1.8k

Countries citing papers authored by Elisabeth Ullmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Elisabeth Ullmann

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth Ullmann. A scholar is included among the top collaborators of Elisabeth Ullmann 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 Elisabeth Ullmann. Elisabeth Ullmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kuehn, Christian, et al.. (2024). Uncertainty quantification analysis of bifurcations of the Allen–Cahn equation with random coefficients. Physica D Nonlinear Phenomena. 470. 134390–134390. 2 indexed citations
2.
Papaioannou, Iason, et al.. (2024). Consensus-Based Rare Event Estimation. SIAM Journal on Scientific Computing. 46(3). A1487–A1513. 2 indexed citations
3.
Chowdhury, Rasheda A., et al.. (2022). EP-PINNs: Cardiac Electrophysiology Characterisation Using Physics-Informed Neural Networks. Frontiers in Cardiovascular Medicine. 8. 768419–768419. 36 indexed citations
4.
Ullmann, Elisabeth, et al.. (2020). On Multilevel Best Linear Unbiased Estimators. SIAM/ASA Journal on Uncertainty Quantification. 8(2). 601–635. 25 indexed citations
5.
Latz, Jonas, et al.. (2020). Multilevel Adaptive Sparse Leja Approximations for Bayesian Inverse Problems. SIAM Journal on Scientific Computing. 42(1). A424–A451. 6 indexed citations
6.
Wagner, Fabian, Jonas Latz, Iason Papaioannou, & Elisabeth Ullmann. (2020). Multilevel Sequential Importance Sampling for Rare Event Estimation. SIAM Journal on Scientific Computing. 42(4). A2062–A2087. 13 indexed citations
7.
Schüler, Rebecca, Sabrina Klebow, Flávio P. Veras, et al.. (2018). Antagonization of IL-17A Attenuates Skin Inflammation and Vascular Dysfunction in Mouse Models of Psoriasis. Journal of Investigative Dermatology. 139(3). 638–647. 62 indexed citations
8.
Latz, Jonas, Iason Papaioannou, & Elisabeth Ullmann. (2018). Multilevel Sequential2 Monte Carlo for Bayesian inverse problems. Journal of Computational Physics. 368. 154–178. 30 indexed citations
9.
Oelze, Matthias, Philipp Welschof, Maike Knorr, et al.. (2017). Basic in vitro Characterization of the Vasodilatory Potential of 2-Aminoethyl Nitrate Fixed-Dose Combinations with Cilostazol, Metoprolol and Valsartan. Pharmacology. 101(1-2). 54–63. 1 indexed citations
10.
Steven, Sebastian, Matthias Oelze, Moritz Brandt, et al.. (2017). Pentaerythritol Tetranitrate In Vivo Treatment Improves Oxidative Stress and Vascular Dysfunction by Suppression of Endothelin‐1 Signaling in Monocrotaline‐Induced Pulmonary Hypertension. Oxidative Medicine and Cellular Longevity. 2017(1). 4353462–4353462. 31 indexed citations
11.
Ullmann, Elisabeth & Iason Papaioannou. (2015). Multilevel Estimation of Rare Events. SIAM/ASA Journal on Uncertainty Quantification. 3(1). 922–953. 30 indexed citations
12.
Teckentrup, Aretha L., Robert Scheichl, Michael B. Giles, & Elisabeth Ullmann. (2013). Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients. Numerische Mathematik. 125(3). 569–600. 105 indexed citations
13.
Ernst, Oliver G., et al.. (2011). Expansion of random field gradients using hierarchical matrices. PAMM. 11(1). 911–914. 2 indexed citations
14.
Powell, Catherine E. & Elisabeth Ullmann. (2010). Preconditioning Stochastic Galerkin Saddle Point Systems. SIAM Journal on Matrix Analysis and Applications. 31(5). 2813–2840. 14 indexed citations
15.
Ullmann, Elisabeth, et al.. (1974). Proceedings: Release of vasopressin during hypoxia.. PubMed. 241(1). 35P–36P. 6 indexed citations
16.
Ullmann, Elisabeth, et al.. (1974). THE INFLUENCE OF ANAESTHETICS ON THE INCREASE IN THE WATER PERMEABILITY OF THE TOAD BLADDER INDUCED BY VASOPRESSIN. British Journal of Pharmacology. 50(1). 131–136. 7 indexed citations
17.
Ullmann, Elisabeth, et al.. (1969). Reduction by anaesthetics of the effect of vasopressin on the permeability of the toad bladder.. PubMed. 200(1). 66P–7P. 2 indexed citations
18.
Ullmann, Elisabeth & Walter S. Wilde. (1964). Effects of abruptly elevating ureter pressure during mannitol diuresis. American Journal of Physiology-Legacy Content. 207(6). 1273–1278. 4 indexed citations
19.
Ullmann, Elisabeth, et al.. (1961). Glomerular filtration after obstruction of the ureter. The Journal of Physiology. 157(1). 38–63. 30 indexed citations
20.
Ullmann, Elisabeth. (1961). Acute anoxia and the excretion of water and electrolyte. The Journal of Physiology. 155(3). 417–437. 29 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.

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