Karsten Eppler

543 total citations
24 papers, 373 citations indexed

About

Karsten Eppler is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Karsten Eppler has authored 24 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 11 papers in Computational Theory and Mathematics and 10 papers in Mechanics of Materials. Recurrent topics in Karsten Eppler's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Numerical methods in engineering (7 papers). Karsten Eppler is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Mathematical Modeling in Engineering (8 papers) and Numerical methods in engineering (7 papers). Karsten Eppler collaborates with scholars based in Germany. Karsten Eppler's co-authors include Helmut Harbrecht, Reinhold Schneider, Djalil Kateb, Časlav Ilić, Stephan Schmidt, Volker Schulz, Lekbir Afraites, Marc Dambrine, Fredi Tröltzsch and Mario S. Mommer and has published in prestigious journals such as SIAM Journal on Control and Optimization, Numerische Mathematik and Journal of Optimization Theory and Applications.

In The Last Decade

Karsten Eppler

23 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Eppler Germany 14 193 186 162 141 88 24 373
Abdeljalil Nachaoui France 11 164 0.8× 122 0.7× 205 1.3× 318 2.3× 34 0.4× 56 442
Marc Dambrine France 15 331 1.7× 157 0.8× 223 1.4× 292 2.1× 111 1.3× 60 570
J. Planchard France 12 238 1.2× 269 1.4× 218 1.3× 53 0.4× 44 0.5× 31 466
Pedro R. S. Antunes Portugal 12 212 1.1× 116 0.6× 234 1.4× 169 1.2× 110 1.3× 40 469
Jean‐Marie Thomas France 7 241 1.2× 329 1.8× 203 1.3× 58 0.4× 23 0.3× 16 502
G. Peichl Austria 12 203 1.1× 165 0.9× 129 0.8× 131 0.9× 65 0.7× 24 364
Irwin Yousept Germany 13 215 1.1× 236 1.3× 95 0.6× 133 0.9× 26 0.3× 42 398
Djalil Kateb France 10 118 0.6× 60 0.3× 92 0.6× 171 1.2× 42 0.5× 25 283
Anna‐Margarete Sändig Germany 11 270 1.4× 270 1.5× 297 1.8× 74 0.5× 32 0.4× 29 554
Fenglian Yang China 10 54 0.3× 106 0.6× 297 1.8× 350 2.5× 26 0.3× 15 444

Countries citing papers authored by Karsten Eppler

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Eppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Eppler

This figure shows the co-authorship network connecting the top 25 collaborators of Karsten Eppler. A scholar is included among the top collaborators of Karsten Eppler 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 Karsten Eppler. Karsten Eppler 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.
Eppler, Karsten. (2019). Computation of Shape Derivatives in Electromagnetic Shaping by Algorithmic Differentiation. edoc (University of Basel). 52(3). 227–243. 1 indexed citations
2.
Eppler, Karsten & Helmut Harbrecht. (2010). On a Kohn-Vogelius like formulation of free boundary problems. Computational Optimization and Applications. 52(1). 69–85. 23 indexed citations
3.
Eppler, Karsten, Stephan Schmidt, Volker Schulz, & Časlav Ilić. (2009). Preconditioning the Pressure Tracking in Fluid Dynamics by Shape Hessian Information. Journal of Optimization Theory and Applications. 141(3). 513–531. 14 indexed citations
4.
Eppler, Karsten. (2009). A shape calculus analysis for tracking type formulations in electrical impedance tomography. Journal of Inverse and Ill-Posed Problems. 17(8). 1 indexed citations
5.
Eppler, Karsten & Helmut Harbrecht. (2009). Tracking Neumann Data for Stationary Free Boundary Problems. SIAM Journal on Control and Optimization. 48(5). 2901–2916. 19 indexed citations
6.
Eppler, Karsten & Helmut Harbrecht. (2008). Wavelet-based boundary element methods for exterior electromagnetic shaping. Engineering Analysis with Boundary Elements. 32(8). 645–657. 6 indexed citations
7.
Eppler, Karsten & Helmut Harbrecht. (2007). Compact gradient tracking in shape optimization. Computational Optimization and Applications. 39(3). 297–318. 4 indexed citations
8.
Eppler, Karsten, Helmut Harbrecht, & Mario S. Mommer. (2007). A new fictitious domain method in shape optimization. Computational Optimization and Applications. 40(2). 281–298. 6 indexed citations
9.
Eppler, Karsten, Helmut Harbrecht, & Reinhold Schneider. (2007). On Convergence in Elliptic Shape Optimization. SIAM Journal on Control and Optimization. 46(1). 61–83. 45 indexed citations
10.
Eppler, Karsten & Helmut Harbrecht. (2006). Coupling of FEM and BEM in Shape Optimization. Numerische Mathematik. 104(1). 47–68. 14 indexed citations
11.
Eppler, Karsten & Helmut Harbrecht. (2006). Efficient treatment of stationary free boundary problems. Applied Numerical Mathematics. 56(10-11). 1326–1339. 32 indexed citations
12.
Eppler, Karsten & Helmut Harbrecht. (2006). Second-order shape optimization using wavelet BEM. Optimization methods & software. 21(1). 135–153. 18 indexed citations
13.
Eppler, Karsten & Helmut Harbrecht. (2004). A regularized Newton method in electrical impedance tomography using shape Hessian information. Control and Cybernetics. 34(1). 203–225. 35 indexed citations
14.
Eppler, Karsten & Helmut Harbrecht. (2004). Exterior electromagnetic shaping using wavelet BEM. Mathematical Methods in the Applied Sciences. 28(4). 387–405. 13 indexed citations
15.
Eppler, Karsten & Helmut Harbrecht. (2004). Fast wavelet BEM for 3d electromagnetic shaping. Applied Numerical Mathematics. 54(3-4). 537–554. 15 indexed citations
16.
Eppler, Karsten & Helmut Harbrecht. (2003). Numerical Solution of Elliptic Shape Optimization Problems using wavelet-based BEM. Optimization methods & software. 18(1). 105–123. 17 indexed citations
17.
Eppler, Karsten. (2000). Boundary integral representations of second derivatives in shape optimization. 20(1). 63–63. 32 indexed citations
18.
Eppler, Karsten. (2000). Second derivatives and sufficient optimality conditions for shape funetionals. Control and Cybernetics. 29(2). 485–511. 19 indexed citations
19.
Eppler, Karsten. (2000). Optimal Shape Design for Elliptic Equations Via Bie-Methods. International Journal of Applied Mathematics and Computer Science. 10(3). 487–516. 24 indexed citations
20.
Eppler, Karsten. (1993). On the Existence of Optimal Solutions for Time-Optimal Semilinear Parabolic Boundary Control Problems. Zeitschrift für Analysis und ihre Anwendungen. 12(1). 153–169. 2 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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