Michael Gnewuch

815 total citations
37 papers, 342 citations indexed

About

Michael Gnewuch is a scholar working on Numerical Analysis, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michael Gnewuch has authored 37 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Numerical Analysis, 16 papers in Applied Mathematics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michael Gnewuch's work include Mathematical Approximation and Integration (32 papers), Mathematical functions and polynomials (14 papers) and Probabilistic and Robust Engineering Design (7 papers). Michael Gnewuch is often cited by papers focused on Mathematical Approximation and Integration (32 papers), Mathematical functions and polynomials (14 papers) and Probabilistic and Robust Engineering Design (7 papers). Michael Gnewuch collaborates with scholars based in Germany, United States and Austria. Michael Gnewuch's co-authors include Benjamin Doerr, Anand Srivastav, Josef Dick, Carola Winzen, Klaus Ritter, Henryk Woźniakowski, Magnus Wahlström, Nils Hebbinghaus, Sebastian Mayer and Aicke Hinrichs and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Michael Gnewuch

33 papers receiving 326 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 Gnewuch Germany 12 293 102 82 65 59 37 342
Peter Kritzer Austria 12 414 1.4× 154 1.5× 84 1.0× 94 1.4× 82 1.4× 60 455
Mario Ullrich Austria 12 186 0.6× 104 1.0× 27 0.3× 48 0.7× 38 0.6× 25 282
Giancarlo Travaglini Italy 11 128 0.4× 238 2.3× 22 0.3× 18 0.3× 41 0.7× 49 369
Arthur G. Werschulz United States 10 171 0.6× 104 1.0× 20 0.2× 111 1.7× 137 2.3× 61 339
Leonardo Colzani Italy 13 105 0.4× 378 3.7× 12 0.1× 17 0.3× 67 1.1× 66 464
Bálint Farkas Germany 10 51 0.2× 154 1.5× 15 0.2× 29 0.4× 92 1.6× 38 384
Woula Themistoclakis Italy 11 134 0.5× 167 1.6× 5 0.1× 41 0.6× 30 0.5× 36 289
Merrell L. Patrick United States 9 243 0.8× 64 0.6× 7 0.1× 79 1.2× 189 3.2× 29 414
Alexander Ulanovskii Norway 8 38 0.1× 175 1.7× 5 0.1× 25 0.4× 27 0.5× 37 232
Mihály Bakonyi United States 8 39 0.1× 100 1.0× 5 0.1× 27 0.4× 105 1.8× 26 218

Countries citing papers authored by Michael Gnewuch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gnewuch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gnewuch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gnewuch. A scholar is included among the top collaborators of Michael Gnewuch 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 Gnewuch. Michael Gnewuch 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.
Gnewuch, Michael. (2024). Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy. Journal of Complexity. 83. 101855–101855. 1 indexed citations
2.
Doerr, Benjamin & Michael Gnewuch. (2021). On negative dependence properties of Latin hypercube samples and scrambled nets. Journal of Complexity. 67. 101589–101589.
3.
Wnuk, Marcin & Michael Gnewuch. (2020). Randomized sparse grid algorithms for multivariate integration on Haar-Wavelet spaces. arXiv (Cornell University).
4.
Gnewuch, Michael, et al.. (2020). A Generalized Faulhaber Inequality, Improved Bracketing Covers, and Applications to Discrepancy. arXiv (Cornell University). 7 indexed citations
5.
Wnuk, Marcin & Michael Gnewuch. (2020). Note on pairwise negative dependence of randomly shifted and jittered rank-1 lattices. Operations Research Letters. 48(4). 410–414. 2 indexed citations
6.
Gnewuch, Michael, et al.. (2017). Embeddings of weighted Hilbert spaces and applications to multivariate and infinite-dimensional integration. Journal of Approximation Theory. 222. 8–39. 9 indexed citations
7.
Gnewuch, Michael, et al.. (2017). Equivalence of weighted anchored and ANOVA spaces of functions with mixed smoothness of order one in Lp. Journal of Complexity. 40. 78–99. 6 indexed citations
8.
Dick, Josef & Michael Gnewuch. (2014). Optimal randomized changing dimension algorithms for infinite-dimensional integration on function spaces with ANOVA-type decomposition. Journal of Approximation Theory. 184. 111–145. 15 indexed citations
9.
Gnewuch, Michael, Sebastian Mayer, & Klaus Ritter. (2013). On weighted Hilbert spaces and integration of functions of infinitely many variables. Journal of Complexity. 30(2). 29–47. 19 indexed citations
10.
Gnewuch, Michael. (2011). Weighted geometric discrepancies and numerical integration on reproducing kernel Hilbert spaces. Journal of Complexity. 28(1). 2–17. 13 indexed citations
11.
Gnewuch, Michael, et al.. (2010). Quasi-polynomial tractability. Journal of Complexity. 27(3-4). 312–330. 34 indexed citations
12.
Doerr, Benjamin, Michael Gnewuch, & Magnus Wahlström. (2010). Algorithmic construction of low-discrepancy point sets via dependent randomized rounding. Journal of Complexity. 26(5). 490–507. 10 indexed citations
13.
Gnewuch, Michael. (2009). On probabilistic results for the discrepancy of a hybrid-Monte Carlo sequence. Journal of Complexity. 25(4). 312–317. 12 indexed citations
14.
Gnewuch, Michael & Natalia C. Roșca. (2009). ON G-DISCREPANCY AND MIXED MONTE CARLO AND QUASI-MONTE CARLO SEQUENCES. 5 indexed citations
15.
Gnewuch, Michael, et al.. (2007). Cubature formulas for function spaces with moderate smoothness. Journal of Complexity. 23(4-6). 828–850. 3 indexed citations
16.
Gnewuch, Michael. (2007). Bracketing numbers for axis-parallel boxes and applications to geometric discrepancy. Journal of Complexity. 24(2). 154–172. 28 indexed citations
17.
Gnewuch, Michael & Henryk Woźniakowski. (2006). Generalized tractability for multivariate problems Part I. Journal of Complexity. 23(2). 262–295. 11 indexed citations
18.
Gnewuch, Michael. (2006). Differentiable Lp-functional calculus for certain sums of non-commuting operators. Colloquium Mathematicum. 105(1). 105–125. 2 indexed citations
19.
Doerr, Benjamin, Michael Gnewuch, & Nils Hebbinghaus. (2006). Discrepancy of Symmetric Products of Hypergraphs. The Electronic Journal of Combinatorics. 13(1). 14 indexed citations
20.
Doerr, Benjamin, Michael Gnewuch, & Anand Srivastav. (2005). Bounds and constructions for the star-discrepancy via δ-covers. Journal of Complexity. 21(5). 691–709. 19 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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