Andreas Veeser

1.5k total citations
32 papers, 714 citations indexed

About

Andreas Veeser is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, Andreas Veeser has authored 32 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Mechanics, 18 papers in Computational Theory and Mathematics and 15 papers in Mechanics of Materials. Recurrent topics in Andreas Veeser's work include Advanced Numerical Methods in Computational Mathematics (28 papers), Advanced Mathematical Modeling in Engineering (14 papers) and Numerical methods in engineering (14 papers). Andreas Veeser is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (28 papers), Advanced Mathematical Modeling in Engineering (14 papers) and Numerical methods in engineering (14 papers). Andreas Veeser collaborates with scholars based in Italy, Germany and United States. Andreas Veeser's co-authors include Kunibert G. Siebert, Ricardo H. Nochetto, Pedro Morín, R. Verfürth, Marco Verani, Alfred Schmidt, Alfio Quarteroni, Christian Kreuzer, Silvia Bertoluzza and Rolf Krause and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Lecture notes in mathematics.

In The Last Decade

Andreas Veeser

30 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Veeser Italy 17 672 393 383 108 105 32 714
Christian Kreuzer Germany 10 543 0.8× 268 0.7× 352 0.9× 108 1.0× 146 1.4× 19 626
Thomas Apel Germany 19 889 1.3× 551 1.4× 510 1.3× 228 2.1× 205 2.0× 51 1.1k
Ricardo G. Durán Argentina 20 835 1.2× 559 1.4× 554 1.4× 172 1.6× 212 2.0× 47 1.2k
Ron DeVore United States 3 325 0.5× 167 0.4× 196 0.5× 74 0.7× 108 1.0× 4 411
Jean‐Marie Thomas France 7 329 0.5× 203 0.5× 241 0.6× 73 0.7× 80 0.8× 16 502
Thirupathi Gudi India 17 801 1.2× 533 1.4× 435 1.1× 192 1.8× 194 1.8× 53 911
Alexander Ženíšek Czechia 14 588 0.9× 404 1.0× 375 1.0× 103 1.0× 93 0.9× 42 746
Gabriel R. Barrenechea United Kingdom 15 780 1.2× 272 0.7× 356 0.9× 237 2.2× 117 1.1× 63 850
J. Thomas King United States 10 436 0.6× 255 0.6× 263 0.7× 62 0.6× 106 1.0× 17 562
János Karátson Hungary 14 346 0.5× 197 0.5× 323 0.8× 163 1.5× 31 0.3× 69 544

Countries citing papers authored by Andreas Veeser

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Veeser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Veeser

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Veeser. A scholar is included among the top collaborators of Andreas Veeser 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 Andreas Veeser. Andreas Veeser 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.
Bonito, Andrea, Claudio Canuto, Ricardo H. Nochetto, & Andreas Veeser. (2024). Adaptive finite element methods. Acta Numerica. 33. 163–485. 6 indexed citations
2.
Barrenechea, Gabriel R., Emmanuil H. Georgoulis, Tristan Pryer, & Andreas Veeser. (2023). A nodally bound-preserving finite element method. IMA Journal of Numerical Analysis. 44(4). 2198–2219. 5 indexed citations
3.
Binev, Peter, et al.. (2023). Near-Best Adaptive Approximation on Conforming Meshes. Constructive Approximation. 57(2). 327–349.
4.
Kreuzer, Christian & Andreas Veeser. (2021). Oscillation in a posteriori error estimation. Numerische Mathematik. 148(1). 43–78. 8 indexed citations
5.
Kreuzer, Christian, et al.. (2019). Quasi-best approximation in optimization with PDE constraints. Inverse Problems. 36(1). 14004–14004. 7 indexed citations
6.
Veeser, Andreas. (2018). Positivity Preserving Gradient Approximation with Linear Finite Elements. Computational Methods in Applied Mathematics. 19(2). 295–310. 2 indexed citations
7.
Veeser, Andreas, et al.. (2018). Quasi-Optimal Nonconforming Methods for Symmetric Elliptic Problems. III---Discontinuous Galerkin and Other Interior Penalty Methods. SIAM Journal on Numerical Analysis. 56(5). 2871–2894. 13 indexed citations
8.
Veeser, Andreas, et al.. (2016). The $L^2$-Projection and Quasi-Optimality of Galerkin Methods for Parabolic Equations. SIAM Journal on Numerical Analysis. 54(1). 317–340. 21 indexed citations
9.
Veeser, Andreas, et al.. (2015). Robust Localization of the Best Error with Finite Elements in the Reaction-Diffusion Norm. Constructive Approximation. 42(2). 313–347. 4 indexed citations
10.
Veeser, Andreas. (2015). Approximating Gradients with Continuous Piecewise Polynomial Functions. Foundations of Computational Mathematics. 16(3). 723–750. 20 indexed citations
11.
Bertoluzza, Silvia, Ricardo H. Nochetto, Alfio Quarteroni, Kunibert G. Siebert, & Andreas Veeser. (2012). Multiscale and Adaptivity: Modeling, Numerics and Applications C.I.M.E. Summer School, Cetraro, Italy 2009Editors Giovanni Naldi, Giovanni ... Mathematics / C.I.M.E. Foundation Subseries). Springer eBooks. 1 indexed citations
12.
Bertoluzza, Silvia, Ricardo H. Nochetto, Alfio Quarteroni, Kunibert G. Siebert, & Andreas Veeser. (2012). Multiscale and Adaptivity: Modeling, Numerics and Applications. Lecture notes in mathematics. 28 indexed citations
13.
Zou, Qingsong, Andreas Veeser, Ralf Kornhuber, & Carsten Gräser. (2011). Hierarchical error estimates for the energy functional in obstacle problems. Numerische Mathematik. 117(4). 653–677. 16 indexed citations
14.
Nochetto, Ricardo H., Andreas Veeser, & Marco Verani. (2008). A safeguarded dual weighted residual method. IMA Journal of Numerical Analysis. 29(1). 126–140. 22 indexed citations
15.
Veeser, Andreas, et al.. (2006). LOCALLY EFFICIENT AND RELIABLE A POSTERIORI ERROR ESTIMATORS FOR DIRICHLET PROBLEMS. Mathematical Models and Methods in Applied Sciences. 16(3). 319–346. 14 indexed citations
16.
Veeser, Andreas, et al.. (2006). A posteriori error estimators, gradient recovery by averaging, and superconvergence. Numerische Mathematik. 103(2). 267–298. 16 indexed citations
17.
Nochetto, Ricardo H., Kunibert G. Siebert, & Andreas Veeser. (2005). Fully Localized A posteriori Error Estimators and Barrier Sets for Contact Problems. SIAM Journal on Numerical Analysis. 42(5). 2118–2135. 42 indexed citations
18.
Veeser, Andreas, et al.. (2003). A Posteriori Error Estimators for Regularized Total Variation of Characteristic Functions. SIAM Journal on Numerical Analysis. 41(6). 2032–2055. 19 indexed citations
19.
Veeser, Andreas, et al.. (2003). On the a posteriori error analysis for equations of prescribed mean curvature. Mathematics of Computation. 72(244). 1611–1635. 16 indexed citations
20.
Veeser, Andreas. (2001). Efficient and Reliable A Posteriori Error Estimators for Elliptic Obstacle Problems. SIAM Journal on Numerical Analysis. 39(1). 146–167. 90 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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