Daniel Wachsmuth

956 total citations
52 papers, 531 citations indexed

About

Daniel Wachsmuth is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Daniel Wachsmuth has authored 52 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 28 papers in Computational Theory and Mathematics and 20 papers in Mathematical Physics. Recurrent topics in Daniel Wachsmuth's work include Advanced Numerical Methods in Computational Mathematics (25 papers), Numerical methods in inverse problems (20 papers) and Advanced Mathematical Modeling in Engineering (14 papers). Daniel Wachsmuth is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (25 papers), Numerical methods in inverse problems (20 papers) and Advanced Mathematical Modeling in Engineering (14 papers). Daniel Wachsmuth collaborates with scholars based in Germany, Austria and Spain. Daniel Wachsmuth's co-authors include Gerd Wachsmuth, Karl Kunisch, Fredi Tröltzsch, Arnd Rösch, Anton Schiela, Eduardo Casas, Tomáš Roubı́ček, R. Meißner, S.A. al Hagrey and Sven Beuchler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Journal International and Journal of Mathematical Analysis and Applications.

In The Last Decade

Daniel Wachsmuth

49 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wachsmuth Germany 13 306 290 136 129 113 52 531
B.B. King United States 13 165 0.5× 287 1.0× 291 2.1× 145 1.1× 67 0.6× 31 711
Hyung‐Chun Lee South Korea 12 151 0.5× 367 1.3× 82 0.6× 91 0.7× 41 0.4× 42 550
Zuhair Nashed United States 7 142 0.5× 95 0.3× 54 0.4× 129 1.0× 45 0.4× 15 404
Kazimierz Malanowski Poland 16 525 1.7× 239 0.8× 191 1.4× 303 2.3× 73 0.6× 41 831
Denis Ridzal United States 11 141 0.5× 197 0.7× 32 0.2× 90 0.7× 26 0.2× 28 388
S. S. Sritharan United States 17 313 1.0× 433 1.5× 507 3.7× 44 0.3× 215 1.9× 70 1.1k
Marianna A. Shubov United States 15 327 1.1× 119 0.4× 407 3.0× 72 0.6× 189 1.7× 68 620
Arnd Rösch Germany 19 874 2.9× 931 3.2× 133 1.0× 338 2.6× 200 1.8× 65 1.2k
Edward Dean United States 14 178 0.6× 395 1.4× 31 0.2× 72 0.6× 37 0.3× 25 674
Zaki Chbani Morocco 12 361 1.2× 184 0.6× 57 0.4× 206 1.6× 179 1.6× 27 513

Countries citing papers authored by Daniel Wachsmuth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Wachsmuth

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wachsmuth. A scholar is included among the top collaborators of Daniel 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 Daniel Wachsmuth. Daniel 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
1.
Antil, Harbir, et al.. (2023). Strong Stationarity for Optimal Control Problems with Non-smooth Integral Equation Constraints: Application to a Continuous DNN. Applied Mathematics & Optimization. 88(3). 5 indexed citations
2.
Wachsmuth, Daniel, et al.. (2023). Optimal regularized hypothesis testing in statistical inverse problems. Inverse Problems. 40(1). 15013–15013. 1 indexed citations
3.
Antil, Harbir & Daniel Wachsmuth. (2023). Sparse optimization problems in fractional order Sobolev spaces. Inverse Problems. 39(4). 44001–44001. 1 indexed citations
4.
Wachsmuth, Daniel. (2023). Optimal control problems with $$L^0(\Omega )$$ constraints: maximum principle and proximal gradient method. Computational Optimization and Applications. 87(3). 811–833.
5.
Casas, Eduardo & Daniel Wachsmuth. (2023). A Note on Existence of Solutions to Control Problems of Semilinear Partial Differential Equations. SIAM Journal on Control and Optimization. 61(3). 1095–1112. 5 indexed citations
6.
Kanzow, Christian, et al.. (2019). The Multiplier-Penalty Method for Generalized Nash Equilibrium Problems in Banach Spaces. SIAM Journal on Optimization. 29(1). 767–793. 10 indexed citations
7.
Casas, Eduardo, Daniel Wachsmuth, & Gerd Wachsmuth. (2018). Second-order analysis and numerical approximation for bang-bang bilinear control problems. UCrea (University of Cantabria). 18 indexed citations
8.
Casas, Eduardo, Daniel Wachsmuth, & Gerd Wachsmuth. (2017). Sufficient Second-Order Conditions for Bang-Bang Control Problems. SIAM Journal on Control and Optimization. 55(5). 3066–3090. 15 indexed citations
9.
Kien, B. T., Arnd Rösch, & Daniel Wachsmuth. (2017). Pontryagin’s Principle for Optimal Control Problem Governed by 3D Navier–Stokes Equations. Journal of Optimization Theory and Applications. 173(1). 30–55. 7 indexed citations
10.
Wachsmuth, Daniel, et al.. (2015). An interior point method designed for solving linear quadratic optimal control problems withhpfinite elements. Optimization methods & software. 30(6). 1276–1302. 1 indexed citations
11.
Schiela, Anton & Daniel Wachsmuth. (2012). Convergence analysis of smoothing methods for optimal control of stationary variational inequalities with control constraints. ESAIM Mathematical Modelling and Numerical Analysis. 47(3). 771–787. 29 indexed citations
12.
Wachsmuth, Daniel & Gerd Wachsmuth. (2011). Regularization error estimates and discrepancy principle for optimal control problems with inequality constraints. Control and Cybernetics. 40(4). 1125–1158. 6 indexed citations
13.
Kunisch, Karl & Daniel Wachsmuth. (2011). Path-following for optimal control of stationary variational inequalities. Computational Optimization and Applications. 51(3). 1345–1373. 18 indexed citations
14.
Wachsmuth, Gerd & Daniel Wachsmuth. (2010). Convergence and regularization results for optimal control problems with sparsity functional. ESAIM Control Optimisation and Calculus of Variations. 17(3). 858–886. 67 indexed citations
15.
Wachsmuth, Daniel, et al.. (2010). Polynomial integration on regions defined by a triangle and a conic. 163–170. 5 indexed citations
16.
Griesse, Roland, et al.. (2008). Update strategies for perturbed nonsmooth equations. Optimization methods & software. 23(3). 321–343. 4 indexed citations
17.
Wachsmuth, Daniel. (2007). Analysis of the SQP-Method for Optimal Control Problems Governed by the Nonstationary Navier–Stokes Equations Based on $L^p$-theory. SIAM Journal on Control and Optimization. 46(3). 1133–1153. 5 indexed citations
18.
Wachsmuth, Daniel. (2006). Sufficient second-order optimality conditions for convex control constraints. Journal of Mathematical Analysis and Applications. 319(1). 228–247. 12 indexed citations
19.
Wachsmuth, Daniel. (2005). Regularity and stability of optimal controls of nonstationary Navier-Stokes equations. Control and Cybernetics. 34(2). 387–409. 3 indexed citations
20.
Tröltzsch, Fredi & Daniel Wachsmuth. (2004). Second‐order sufficient optimality conditions for the optimal control of instationary Navier‐Stokes equations. PAMM. 4(1). 628–629. 3 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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