Anders Szepessy

2.3k total citations
50 papers, 1.6k citations indexed

About

Anders Szepessy is a scholar working on Computational Mechanics, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Anders Szepessy has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computational Mechanics, 22 papers in Applied Mathematics and 8 papers in Mathematical Physics. Recurrent topics in Anders Szepessy's work include Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Navier-Stokes equation solutions (18 papers). Anders Szepessy is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (23 papers), Advanced Numerical Methods in Computational Mathematics (20 papers) and Navier-Stokes equation solutions (18 papers). Anders Szepessy collaborates with scholars based in Sweden, United States and Saudi Arabia. Anders Szepessy's co-authors include Claes Johnson, Peter Hansbo, Zhouping Xin, Raúl Tempone, Georgios E. Zouraris, Kevin Zumbrun, Jérôme Jaffré, Erik von Schwerin, Ernesto Mordecki and Markos A. Katsoulakis and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Mathematics of Computation.

In The Last Decade

Anders Szepessy

45 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anders Szepessy Sweden 19 1.3k 532 276 216 208 50 1.6k
Jérôme Droniou France 25 1.3k 1.0× 482 0.9× 421 1.5× 302 1.4× 845 4.1× 103 1.9k
Christian Rohde Germany 18 679 0.5× 339 0.6× 88 0.3× 143 0.7× 183 0.9× 105 1.1k
Heping Ma China 19 592 0.5× 134 0.3× 632 2.3× 179 0.8× 254 1.2× 69 1.2k
René Pinnau Germany 17 424 0.3× 249 0.5× 181 0.7× 277 1.3× 124 0.6× 77 861
Miloslav Feistauer Czechia 28 1.6k 1.3× 212 0.4× 607 2.2× 59 0.3× 596 2.9× 107 1.9k
Арлен Михайлович Ильин Russia 10 208 0.2× 388 0.7× 437 1.6× 285 1.3× 556 2.7× 48 1.1k
Michael Neilan United States 20 1.0k 0.8× 273 0.5× 280 1.0× 78 0.4× 515 2.5× 63 1.3k
Peter Mathé Germany 20 302 0.2× 351 0.7× 156 0.6× 795 3.7× 182 0.9× 77 1.1k
Ewa Weinmüller Austria 19 238 0.2× 217 0.4× 659 2.4× 124 0.6× 256 1.2× 98 922
Andrey Piatnitski Russia 22 703 0.6× 375 0.7× 99 0.4× 358 1.7× 1.2k 5.8× 113 1.5k

Countries citing papers authored by Anders Szepessy

Since Specialization
Citations

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

Fields of papers citing papers by Anders Szepessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anders Szepessy

This figure shows the co-authorship network connecting the top 25 collaborators of Anders Szepessy. A scholar is included among the top collaborators of Anders Szepessy 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 Anders Szepessy. Anders Szepessy 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.
Huang, Xin, et al.. (2025). Convergence rates for random feature neural network approximation in molecular dynamics. BIT Numerical Mathematics. 65(1).
2.
Huang, Xin, et al.. (2024). Path integral molecular dynamics approximations of quantum canonical observables. Journal of Computational Physics. 523. 113625–113625. 1 indexed citations
3.
Plecháč, Petr, et al.. (2013). How accurate is Born-Oppenheimer molecular dynamics for crossings of potential surfaces ?. arXiv (Cornell University).
4.
Björk, Thomas, Anders Szepessy, Raúl Tempone, & Georgios E. Zouraris. (2012). Monte Carlo Euler approximations of HJM term structure financial models. BIT Numerical Mathematics.
5.
Schwerin, Erik von & Anders Szepessy. (2010). A stochastic phase-field model determined from molecular dynamics. ESAIM Mathematical Modelling and Numerical Analysis. 44(4). 627–646. 1 indexed citations
6.
Mordecki, Ernesto, Anders Szepessy, Raúl Tempone, & Georgios E. Zouraris. (2008). Adaptive Weak Approximation of Diffusions with Jumps. SIAM Journal on Numerical Analysis. 46(4). 1732–1768. 20 indexed citations
7.
Szepessy, Anders, et al.. (2008). Stochastic Dierential Equations : Model and Numerics. 5 indexed citations
8.
Szepessy, Anders, et al.. (2005). Convergence Rates for Adaptive Weak Approximation of Stochastic Differential Equations. Stochastic Analysis and Applications. 23(3). 511–558. 23 indexed citations
9.
Szepessy, Anders, et al.. (2003). A variational principle for adaptive approximation of ordinary differential equations. Numerische Mathematik. 96(1). 131–152. 11 indexed citations
10.
Freistühler, Heinrich, Anders Szepessy, & Y. Horie. (2002). Advances in the Theory of Shock Waves. Progress in Nonlinear Differential Equations and Their Applications, Vol. 47. Applied Mechanics Reviews. 55(4). B63–B64. 2 indexed citations
11.
Persson, Ingemar, et al.. (1999). On the convergence of multigrid methods for flow problems. ETNA - Electronic Transactions on Numerical Analysis. 8. 46–87. 4 indexed citations
12.
Szepessy, Anders. (1991). Convergence of a streamline diffusion finite element method for a conservation law with boundary conditions. 25(5). 749–783. 12 indexed citations
13.
Johnson, Claes, Anders Szepessy, & Peter Hansbo. (1990). On the convergence of shock-capturing streamline diffusion finite element methods for hyperbolic conservation laws. Mathematics of Computation. 54(189). 107–129. 122 indexed citations
14.
Hansbo, Peter & Anders Szepessy. (1990). A velocity pressure streamline diffusion finite element method for Navier-Stokes equations. Computer Methods in Applied Mechanics and Engineering. 84(2). 175–192. 107 indexed citations
15.
Hansbo, Peter & Anders Szepessy. (1990). A velocity-pressure streamline diffusion finite element method for the incompressible Navier-Stokes equations. Computer Methods in Applied Mechanics and Engineering. 84(2). 175–192. 163 indexed citations
16.
Szepessy, Anders. (1989). Convergence of a Shock-Capturing Streamline Diffusion Finite Element Method for a Scalar Conservation Law in Two Space Dimensions. Mathematics of Computation. 53(188). 527–527. 19 indexed citations
17.
Szepessy, Anders. (1989). Convergence of a shock-capturing streamline diffusion finite element method for a scalar conservation law in two space dimensions. Mathematics of Computation. 53(188). 527–545. 79 indexed citations
18.
Szepessy, Anders. (1989). Measure-valued solutions of scalar conservation laws with boundary conditions. Archive for Rational Mechanics and Analysis. 107(2). 181–193. 41 indexed citations
19.
Johnson, Claes & Anders Szepessy. (1987). On the convergence of a finite element method for a nonlinear hyperbolic conservation law. Mathematics of Computation. 49(180). 427–444. 76 indexed citations
20.
Johnson, Claes & Anders Szepessy. (1987). On the Convergence of a Finite Element Method for a Nonlinear Hyperbolic Conservation Law. Mathematics of Computation. 49(180). 427–427. 99 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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