Daniel Wachsmuth
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
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- Advanced Mathematical Modeling in Engineering
- Optimization and Variational Analysis
- Contact Mechanics and Variational Inequalities
Papers in
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- Advanced Numerical Methods in Computational Mathematics 25
- Computational Fluid Dynamics and Aerodynamics 7
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- Advanced Mathematical Modeling in Engineering 14
- Optimization and Variational Analysis 12
- Co-authors
- Gerd Wachsmuth (5 shared papers)Karl Kunisch (4 shared papers)Arnd Rösch (5 shared papers)Fredi Tröltzsch (4 shared papers)Anton Schiela (2 shared papers)Eduardo Casas (4 shared papers)Tomáš Roubı́ček (1 shared paper)Alfio Borzı̀ (1 shared paper)
In The Last Decade
Daniel Wachsmuth
49 papers receiving 492 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 133
- Computational Theory and Mathematics 320
- Computational Mechanics 303
- Mathematical Physics 120
- Applied Mathematics 109
Countries citing papers authored by Daniel Wachsmuth
This map shows the geographic impact of Daniel Wachsmuth'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 Daniel Wachsmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wachsmuth more than expected).
Fields of papers citing papers by Daniel Wachsmuth
This network shows the impact of papers produced by Daniel Wachsmuth. 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 Daniel Wachsmuth. The network helps show where Daniel Wachsmuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wachsmuth, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 70 | |
| 2 | 2005 | 55 | |
| 3 | 2011 | 33 | |
| 4 | 2012 | 30 | |
| 5 | 2011 | 27 | |
| 6 | 1999 | 26 | |
| 7 | 2018 | 18 | |
| 8 | 2011 | 18 | |
| 9 | 2015 | 18 | |
| 10 | 2010 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2009 | 13 | |
| 14 | 2007 | 13 | |
| 15 | 2006 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2012 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 2010 | 9 |
About Daniel Wachsmuth
Daniel Wachsmuth is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mathematical Physics, Control and Systems Engineering and Numerical Analysis, having authored 52 papers that have together received 555 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (25 papers), Numerical methods in inverse problems (20 papers), Stability and Controllability of Differential Equations (14 papers), Advanced Mathematical Modeling in Engineering (14 papers), Optimization and Variational Analysis (12 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Navier-Stokes equation solutions (5 papers) and Nonlinear Partial Differential Equations (5 papers). The work is most often cited by research in Numerical Analysis (133 citations), Computational Theory and Mathematics (320 citations), Computational Mechanics (303 citations), Mathematical Physics (120 citations) and Applied Mathematics (109 citations). Daniel Wachsmuth has collaborated with scholars based in Germany, Austria and Spain. Frequent co-authors include Gerd Wachsmuth, Karl Kunisch, Arnd Rösch, Fredi Tröltzsch, Anton Schiela, Eduardo Casas, Tomáš Roubı́ček, Alfio Borzı̀, Gunther Dirr and S.A. al Hagrey. Their work appears in journals such as Computational Optimization and Applications, SIAM Journal on Control and Optimization, Optimization methods & software, ESAIM Control Optimisation and Calculus of Variations and Numerical Functional Analysis and Optimization.
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.