Michael Ulbrich
Impact in
- Numerical Analysis top 1%
- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Computational Theory and Mathematics top 0.5%
- Optimization and Variational Analysis
- Matrix Theory and Algorithms
Papers in
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- Optimization and Variational Analysis 11
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- Advanced Optimization Algorithms Research 22
- Co-authors
- Stefan Ulbrich (15 shared papers)L. N. Vicente (4 shared papers)Matthias Heinkenschloss (4 shared papers)Sebastian Albrecht (5 shared papers)Marion Leibold (3 shared papers)Olivier Zaro Weber (1 shared paper)Stefan Kääb (3 shared papers)Christopher Reithmann (8 shared papers)
- Journals
- SIAM Journal on Optimization (10 papers)SIAM Journal on Scientific Computing (6 papers)Mathematical Programming (5 papers)SIAM Journal on Control and Optimization (5 papers)EP Europace (5 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Michael Ulbrich
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Numerical Analysis 712
- Computational Theory and Mathematics 703
- Computational Mechanics 535
- Computational Mathematics 13
- Mathematical Physics 138
Countries citing papers authored by Michael Ulbrich
This map shows the geographic impact of Michael Ulbrich'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 Michael Ulbrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ulbrich more than expected).
Fields of papers citing papers by Michael Ulbrich
This network shows the impact of papers produced by Michael Ulbrich. 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 Michael Ulbrich. The network helps show where Michael Ulbrich may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Ulbrich, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 179 | |
| 2 | 2002 | 140 | |
| 3 | 2004 | 137 | |
| 4 | 2010 | 86 | |
| 5 | 2001 | 82 | |
| 6 | 2004 | 63 | |
| 7 | 1999 | 62 | |
| 8 | [Clinical death-cap (Amanita phalloides) poisoning: prognostic factors and therapeutic measures. Analysis of 205 cases]. | 1982 | 60 |
| 9 | 2011 | 59 | |
| 10 | 2018 | 54 | |
| 11 | 2003 | 53 | |
| 12 | 2013 | 51 | |
| 13 | 2010 | 51 | |
| 14 | 2014 | 47 | |
| 15 | 1999 | 45 | |
| 16 | 2012 | 33 | |
| 17 | 2002 | 33 | |
| 18 | 2000 | 32 | |
| 19 | 2007 | 30 | |
| 20 | A Globally Convergent Primal-Dual Interior-Point Filter Method for Nonconvex Nonlinear Programming | 2000 | 30 |
About Michael Ulbrich
Michael Ulbrich is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (22 papers), Cardiac Arrhythmias and Treatments (14 papers), Advanced Numerical Methods in Computational Mathematics (13 papers), Cardiac electrophysiology and arrhythmias (11 papers), Optimization and Variational Analysis (11 papers), Cardiac pacing and defibrillation studies (11 papers), Sparse and Compressive Sensing Techniques (6 papers) and Advanced Control Systems Optimization (5 papers). The work is most often cited by research in Numerical Analysis (712 citations), Computational Theory and Mathematics (703 citations), Computational Mechanics (535 citations), Computational Mathematics (13 citations) and Mathematical Physics (138 citations). Michael Ulbrich has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Stefan Ulbrich, L. N. Vicente, Matthias Heinkenschloss, Sebastian Albrecht, Marion Leibold, Olivier Zaro Weber, Stefan Kääb, Christopher Reithmann, Christian Boehm and Zaiwen Wen. Their work appears in journals such as SIAM Journal on Optimization, SIAM Journal on Scientific Computing, Mathematical Programming, SIAM Journal on Control and Optimization and EP Europace.
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.