Gerd Wachsmuth

1.3k total citations
52 papers, 708 citations indexed

About

Gerd Wachsmuth is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Applied Mathematics. According to data from OpenAlex, Gerd Wachsmuth has authored 52 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 18 papers in Computational Mechanics and 14 papers in Applied Mathematics. Recurrent topics in Gerd Wachsmuth's work include Optimization and Variational Analysis (22 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Contact Mechanics and Variational Inequalities (15 papers). Gerd Wachsmuth is often cited by papers focused on Optimization and Variational Analysis (22 papers), Advanced Numerical Methods in Computational Mathematics (16 papers) and Contact Mechanics and Variational Inequalities (15 papers). Gerd Wachsmuth collaborates with scholars based in Germany, Spain and Austria. Gerd Wachsmuth's co-authors include Roland Herzog, Eduardo Casas, Daniel Wachsmuth, Christian Meyer, Patrick Mehlitz, Georg Stadler, Christian Kanzow, Arnd Rösch, Stephan Dempe and Christopher Schneider and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Mathematical Programming.

In The Last Decade

Gerd Wachsmuth

44 papers receiving 624 citations

Peers

Gerd Wachsmuth
Comparison fields: 5 of 57
  • Computational Theory and Mathematics 477
  • Computational Mechanics 280
  • Numerical Analysis 176
  • Mathematical Physics 161
  • Control and Systems Engineering 136
Replace Roland Herzog with:
Roland Herzog Germany
Maı̈tine Bergounioux France
Anton Schiela Germany
Dan Tiba Romania
Kazimierz Malanowski Poland
Zheng‐Jian Bai China
J. Tinsley Oden United States
Kanokwan Sıtthıthakerngkıet Thailand
Felipe Álvarez Chile
Samir Adly France
Roland Herzog Germany View profile →
Citations per field, relative to Gerd Wachsmuth
Gerd Wachsmuth · 1×
Citations per year, relative to Gerd Wachsmuth
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Countries citing papers authored by Gerd Wachsmuth

Since Specialization
Citations

This map shows the geographic impact of Gerd 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 Gerd Wachsmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Wachsmuth more than expected).

Fields of papers citing papers by Gerd Wachsmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerd 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 Gerd Wachsmuth. The network helps show where Gerd Wachsmuth may publish in the future.

Co-authorship network of co-authors of Gerd Wachsmuth

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Wachsmuth. A scholar is included among the top collaborators of Gerd Wachsmuth 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 Gerd Wachsmuth. Gerd Wachsmuth 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 3
6 20
7 2
8 3
9 10
10 18
11 5
12 15
13 4
14 14
15
Using the on-state-Vbe,sat-voltage for temperature estimation of SiC-BJTs during normal operation
3
16 13
17 32
18
Regularization error estimates and discrepancy principle for optimal control problems with inequality constraints
6
19 39
20 67

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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