David Krieg

924 total citations · 1 hit paper
22 papers, 587 citations indexed

About

David Krieg is a scholar working on Numerical Analysis, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, David Krieg has authored 22 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Numerical Analysis, 8 papers in Applied Mathematics and 4 papers in Computational Theory and Mathematics. Recurrent topics in David Krieg's work include Mathematical Approximation and Integration (17 papers), Numerical methods in inverse problems (3 papers) and Holomorphic and Operator Theory (3 papers). David Krieg is often cited by papers focused on Mathematical Approximation and Integration (17 papers), Numerical methods in inverse problems (3 papers) and Holomorphic and Operator Theory (3 papers). David Krieg collaborates with scholars based in Austria, Germany and Czechia. David Krieg's co-authors include R.D. Krieg, Mario Ullrich, Erich Novak, Jan Vybíral, Elías Wegert, Henryk Woźniakowski, Aicke Hinrichs, T. Faestermann, Peter Kritzer and J.M. Gómez-Guzmán and has published in prestigious journals such as Mathematics of Computation, Journal of Mathematical Analysis and Applications and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

In The Last Decade

David Krieg

17 papers receiving 548 citations

Hit Papers

Accuracies of Numerical Solution Methods for the Elastic-... 1977 2026 1993 2009 1977 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Accuracies of Numerical Solution Methods for the Elastic-Perfectly Plastic Model
    1977 437 citations R.D. Krieg, David Krieg Journal of Pressure Vessel Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Krieg Austria 7 320 192 160 120 115 22 587
R. Keunings Belgium 5 307 1.0× 90 0.5× 138 0.9× 307 2.6× 63 0.5× 5 899
Zhong Wan‐xie China 14 373 1.2× 154 0.8× 89 0.6× 101 0.8× 91 0.8× 43 718
Ching-yu Yang Taiwan 18 387 1.2× 269 1.4× 66 0.4× 224 1.9× 33 0.3× 44 767
Philippe Destuynder France 12 599 1.9× 59 0.3× 192 1.2× 324 2.7× 42 0.4× 47 914
Chunhua Wang China 11 280 0.9× 83 0.4× 229 1.4× 75 0.6× 23 0.2× 49 820
Rainer Niekamp Germany 12 224 0.7× 70 0.4× 65 0.4× 289 2.4× 57 0.5× 37 558
Amel Ben Abda France 15 410 1.3× 67 0.3× 135 0.8× 91 0.8× 14 0.1× 42 817
Béchir Mokdad France 3 239 0.7× 59 0.3× 94 0.6× 213 1.8× 48 0.4× 3 640
S. Nakazawa United States 8 318 1.0× 96 0.5× 73 0.5× 349 2.9× 59 0.5× 17 658
Janusz Orkisz Poland 9 492 1.5× 147 0.8× 33 0.2× 344 2.9× 53 0.5× 39 739

Countries citing papers authored by David Krieg

Since Specialization
Citations

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

Fields of papers citing papers by David Krieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Krieg

This figure shows the co-authorship network connecting the top 25 collaborators of David Krieg. A scholar is included among the top collaborators of David Krieg 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 David Krieg. David Krieg 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.
Krieg, David, Erich Novak, & Mario Ullrich. (2025). On the power of adaption and randomization. Forum of Mathematics Sigma. 13.
2.
Krieg, David, et al.. (2025). Sampling projections in the uniform norm. Journal of Mathematical Analysis and Applications. 553(2). 129873–129873. 1 indexed citations
3.
Goda, Takashi & David Krieg. (2025). A simple universal algorithm for high-dimensional integration. Numerische Mathematik. 158(1). 229–248.
4.
Krieg, David, et al.. (2024). Function recovery on manifolds using scattered data. Journal of Approximation Theory. 305. 106098–106098.
5.
Krieg, David. (2024). Tractability of sampling recovery on unweighted function classes. 11(12). 115–125. 1 indexed citations
6.
Krieg, David & Peter Kritzer. (2024). Homogeneous algorithms and solvable problems on cones. Journal of Complexity. 83. 101840–101840. 1 indexed citations
7.
Krieg, David, et al.. (2023). Exponential tractability of L2-approximation with function values. Advances in Computational Mathematics. 49(2). 7 indexed citations
8.
Krieg, David, et al.. (2023). Random points are optimal for the approximation of Sobolev functions. IMA Journal of Numerical Analysis. 44(3). 1346–1371. 5 indexed citations
9.
Krieg, David & Jan Vybíral. (2023). New Lower Bounds for the Integration of Periodic Functions. Journal of Fourier Analysis and Applications. 29(4). 6 indexed citations
10.
Krieg, David, et al.. (2022). Recovery of Sobolev functions restricted to iid sampling. Mathematics of Computation. 6 indexed citations
11.
Hinrichs, Aicke, David Krieg, Erich Novak, & Jan Vybíral. (2022). Lower bounds for integration and recovery in L2. Journal of Complexity. 72. 101662–101662. 6 indexed citations
12.
Krieg, David & Mario Ullrich. (2021). Journal of Complexity / Function values are enough for L2-approximation : Part II. University Library Linz repository (Johannes Kepler Universitat Linz). 29 indexed citations
13.
Ullrich, Mario & David Krieg. (2021). Foundations of Computational Mathematics / Function values are enough for L2-approximation. University Library Linz repository (Johannes Kepler Universitat Linz). 37 indexed citations
14.
Krieg, David & Mario Ullrich. (2019). On $L_2$-approximation in Hilbert spaces using function values. arXiv (Cornell University). 3 indexed citations
15.
Krieg, David. (2018). Uniform recovery of high-dimensional Cr-functions. Journal of Complexity. 50. 116–126. 1 indexed citations
16.
Faestermann, T., J.M. Gómez-Guzmán, Karin Hain, et al.. (2018). Recent developments for AMS at the Munich tandem accelerator. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 438. 180–183. 13 indexed citations
17.
Krieg, David. (2018). Optimal Monte Carlo Methods for $$L^2$$ L 2 -Approximation. Constructive Approximation. 49(2). 385–403. 11 indexed citations
18.
Krieg, David & Elías Wegert. (2017). Incompressibility of domain-filling circle packings. Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry. 58(3). 555–589.
19.
Wegert, Elías & David Krieg. (2013). Incircles of trilaterals. Beiträge zur Algebra und Geometrie / Contributions to Algebra and Geometry. 55(1). 277–287. 2 indexed citations
20.
Krieg, R.D. & David Krieg. (1977). Accuracies of Numerical Solution Methods for the Elastic-Perfectly Plastic Model. Journal of Pressure Vessel Technology. 99(4). 510–515. 437 indexed citations breakdown →

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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