Michael Feischl

938 total citations
39 papers, 539 citations indexed

About

Michael Feischl is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Michael Feischl has authored 39 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 26 papers in Mechanics of Materials and 14 papers in Computational Theory and Mathematics. Recurrent topics in Michael Feischl's work include Advanced Numerical Methods in Computational Mathematics (32 papers), Numerical methods in engineering (26 papers) and Electromagnetic Simulation and Numerical Methods (14 papers). Michael Feischl is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (32 papers), Numerical methods in engineering (26 papers) and Electromagnetic Simulation and Numerical Methods (14 papers). Michael Feischl collaborates with scholars based in Austria, Chile and Germany. Michael Feischl's co-authors include Dirk Praetorius, Thomas Führer, Marcus Page, Michael Karkulik, Carsten Carstensen, Markus Aurada, Jens Markus Melenk, Norbert Heuer, Thanh Tran and Florian Bruckner and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Mathematics of Computation and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Michael Feischl

37 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Feischl Austria 14 431 321 199 149 89 39 539
Jason Kurtz United States 8 306 0.7× 189 0.6× 214 1.1× 128 0.9× 117 1.3× 14 552
L. Demkowicz United States 11 382 0.9× 288 0.9× 244 1.2× 182 1.2× 82 0.9× 13 569
Clemens Pechstein Austria 12 413 1.0× 232 0.7× 116 0.6× 285 1.9× 61 0.7× 23 486
Qiya Hu China 14 389 0.9× 171 0.5× 193 1.0× 225 1.5× 149 1.7× 58 616
R. Kent Smith United States 10 376 0.9× 151 0.5× 215 1.1× 156 1.0× 108 1.2× 13 600
Ana Alonso Argentina 10 391 0.9× 248 0.8× 229 1.2× 155 1.0× 42 0.5× 17 447
F. Nataf France 11 331 0.8× 120 0.4× 142 0.7× 220 1.5× 93 1.0× 20 428
Andrea Bonito United States 14 358 0.8× 153 0.5× 116 0.6× 158 1.1× 22 0.2× 35 503
Salim Meddahi Spain 17 729 1.7× 543 1.7× 274 1.4× 305 2.0× 59 0.7× 66 858
Anna Schneebeli Switzerland 7 403 0.9× 171 0.5× 316 1.6× 78 0.5× 104 1.2× 8 523

Countries citing papers authored by Michael Feischl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Feischl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Feischl

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Feischl. A scholar is included among the top collaborators of Michael Feischl 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 Michael Feischl. Michael Feischl 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.
Feischl, Michael, et al.. (2024). On full linear convergence and optimal complexity of adaptive FEM with inexact solver. Computers & Mathematics with Applications. 180. 102–129.
2.
Feischl, Michael, et al.. (2024). Computational Methods in Applied Mathematics (CMAM 2022 Conference, Part 1). Computational Methods in Applied Mathematics. 24(2). 279–282.
3.
Doppler, Christian, Michael Feischl, Marina Müller, et al.. (2022). Low-entry-barrier point-of-care testing of anti-SARS-CoV-2 IgG in the population of Upper Austria from December 2020 until April 2021—a feasible surveillance strategy for post-pandemic monitoring?. Analytical and Bioanalytical Chemistry. 414(10). 3291–3299. 1 indexed citations
4.
Bøhn, Jan Helge, et al.. (2022). FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation. Computational Methods in Applied Mathematics. 23(1). 19–48. 2 indexed citations
5.
Feischl, Michael, et al.. (2016). Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations. Numerische Mathematik. 136(1). 147–182. 13 indexed citations
6.
Feischl, Michael, et al.. (2016). Efficient numerical computation of direct exchange areas in thermal radiation analysis. Numerical Heat Transfer Part B Fundamentals. 69(6). 511–533. 4 indexed citations
7.
Feischl, Michael, Thomas Führer, Norbert Heuer, Michael Karkulik, & Dirk Praetorius. (2015). Adaptive Boundary Element Methods: A Posteriori Error Estimators, Adaptivity, Convergence, and Implementation. arXiv (Cornell University). 22(3). 309–389. 10 indexed citations
8.
Feischl, Michael, et al.. (2015). Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations. Computer Methods in Applied Mechanics and Engineering. 290. 362–386. 23 indexed citations
9.
Carstensen, Carsten, Michael Feischl, Marcus Page, & Dirk Praetorius. (2014). Axioms of adaptivity. Computers & Mathematics with Applications. 67(6). 1195–1253. 137 indexed citations
10.
Bruckner, Florian, Christoph Vogler, Thomas Huber, et al.. (2013). Combining micromagnetism and magnetostatic Maxwell equations for multiscale magnetic simulations. Journal of Magnetism and Magnetic Materials. 343(100). 163–168. 13 indexed citations
11.
Feischl, Michael, Thomas Führer, Michael Karkulik, & Dirk Praetorius. (2013). ZZ-Type a posteriori error estimators for adaptive boundary element methods on a curve. Engineering Analysis with Boundary Elements. 38(100). 49–60. 9 indexed citations
12.
Feischl, Michael, Marcus Page, & Dirk Praetorius. (2013). Convergence and quasi-optimality of adaptive FEM with inhomogeneous Dirichlet data. Journal of Computational and Applied Mathematics. 255(100). 481–501. 15 indexed citations
13.
Aurada, Markus, Michael Ebner, Michael Feischl, et al.. (2013). HILBERT — a MATLAB implementation of adaptive 2D-BEM. Numerical Algorithms. 67(1). 1–32. 13 indexed citations
14.
Feischl, Michael, Michael Karkulik, Jens Markus Melenk, & Dirk Praetorius. (2013). Quasi-optimal Convergence Rate for an Adaptive Boundary Element Method. SIAM Journal on Numerical Analysis. 51(2). 1327–1348. 31 indexed citations
15.
Aurada, Markus, Michael Feischl, & Dirk Praetorius. (2012). Convergence of some adaptive FEM-BEM coupling for elliptic but possibly nonlinear interface problems. ESAIM Mathematical Modelling and Numerical Analysis. 46(5). 1147–1173. 10 indexed citations
16.
Aurada, Markus, Michael Feischl, & Dirk Praetorius. (2012). Adaptive FEM with inhomogeneous dirichlet data: Convergence and quasi-optimality in Rd. 1 indexed citations
17.
Aurada, Markus, Michael Feischl, Michael Karkulik, & Dirk Praetorius. (2011). A posteriori error estimates for the Johnson–Nédélec FEM–BEM coupling. Engineering Analysis with Boundary Elements. 36(2). 255–266. 5 indexed citations
18.
Feischl, Michael, Marcus Page, & Dirk Praetorius. (2011). Convergence of adaptive FEM for elliptic obstacle problems. PAMM. 11(1). 767–768. 3 indexed citations
19.
Feischl, Michael, Marcus Page, & Dirk Praetorius. (2011). Convergence and quasi‐optimality of adaptive FEM with inhomogeneous Dirichlet data. PAMM. 11(1). 769–772. 1 indexed citations
20.
Aurada, Markus, Michael Ebner, Michael Feischl, et al.. (2010). Hilbert (Release 2): A MATLAB Implementation of Adaptive BEM. 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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