Martin Neumüller

451 total citations
11 papers, 225 citations indexed

About

Martin Neumüller is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Martin Neumüller has authored 11 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 6 papers in Computational Theory and Mathematics and 4 papers in Numerical Analysis. Recurrent topics in Martin Neumüller's work include Advanced Numerical Methods in Computational Mathematics (8 papers), Advanced Numerical Analysis Techniques (3 papers) and Numerical methods for differential equations (3 papers). Martin Neumüller is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (8 papers), Advanced Numerical Analysis Techniques (3 papers) and Numerical methods for differential equations (3 papers). Martin Neumüller collaborates with scholars based in Austria, United Kingdom and United States. Martin Neumüller's co-authors include Martin J. Gander, Ulrich Langer, Stephen E. Moore, Olaf Steinbach, Iain Smears, Christoph Koutschan, К. В. Воронин, Chak Shing Lee and Panayot S. Vassilevski and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and SIAM Journal on Scientific Computing.

In The Last Decade

Martin Neumüller

11 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Neumüller Austria	8	180	98	89	60	55	11	225
Simon Lemaire France	8	265 1.5×	103 1.1×	59 0.7×	151 2.5×	68 1.2×	16	305
Clemens Hofreither Austria	8	139 0.8×	70 0.7×	60 0.7×	63 1.1×	22 0.4×	22	215
Ayçıl Çeşmeli̇oğlu United States	9	423 2.4×	195 2.0×	65 0.7×	103 1.7×	44 0.8×	22	456
Sven Beuchler Germany	8	210 1.2×	117 1.2×	35 0.4×	146 2.4×	68 1.2×	35	281
Francesca Gardini Italy	8	248 1.4×	82 0.8×	34 0.4×	157 2.6×	109 2.0×	12	262
Zhaonan Dong France	6	230 1.3×	97 1.0×	39 0.4×	139 2.3×	62 1.1×	17	254
Chunjia Bi China	11	383 2.1×	136 1.4×	144 1.6×	149 2.5×	91 1.7×	27	414
Brigitte Métivet France	8	302 1.7×	120 1.2×	91 1.0×	94 1.6×	39 0.7×	12	345
Masahisa Tabata Japan	12	431 2.4×	125 1.3×	199 2.2×	74 1.2×	43 0.8×	32	501
Serge Nicaise France	8	93 0.5×	130 1.3×	52 0.6×	112 1.9×	27 0.5×	16	280

Countries citing papers authored by Martin Neumüller

Since Specialization

Citations

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

Fields of papers citing papers by Martin Neumüller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Neumüller

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Neumüller. A scholar is included among the top collaborators of Martin Neumüller 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 Martin Neumüller. Martin Neumüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Neumüller, Martin & Olaf Steinbach. (2020). Regularization error estimates for distributed control problems in energy spaces. Mathematical Methods in the Applied Sciences. 44(5). 4176–4191. 12 indexed citations

Neumüller, Martin & Iain Smears. (2019). Time-Parallel Iterative Solvers for Parabolic Evolution Equations. SIAM Journal on Scientific Computing. 41(1). C28–C51. 15 indexed citations

Langer, Ulrich, et al.. (2019). Parallel and Robust Preconditioning for Space-Time Isogeometric Analysis of Parabolic Evolution Problems. SIAM Journal on Scientific Computing. 41(3). A1793–A1821. 10 indexed citations

Neumüller, Martin, et al.. (2018). A Fully Parallelizable Space-Time Multilevel Monte Carlo Method for Stochastic Differential Equations with Additive Noise. SIAM Journal on Scientific Computing. 40(3). C388–C400. 1 indexed citations

Langer, Ulrich, et al.. (2018). Time-multipatch discontinuous Galerkin space-time isogeometric analysis of parabolic evolution problems. ETNA - Electronic Transactions on Numerical Analysis. 49. 126–150. 10 indexed citations

Воронин, К. В., et al.. (2018). Space-time discretizations using constrained first-order system least squares (CFOSLS). Journal of Computational Physics. 373. 863–876. 4 indexed citations

Koutschan, Christoph, et al.. (2016). Inverse inequality estimates with symbolic computation. Advances in Applied Mathematics. 80. 1–23. 3 indexed citations

Gander, Martin J. & Martin Neumüller. (2016). Analysis of a New Space-Time Parallel Multigrid Algorithm for Parabolic Problems. SIAM Journal on Scientific Computing. 38(4). A2173–A2208. 80 indexed citations

Langer, Ulrich, Stephen E. Moore, & Martin Neumüller. (2016). Space–time isogeometric analysis of parabolic evolution problems. Computer Methods in Applied Mechanics and Engineering. 306. 342–363. 54 indexed citations

10.

Neumüller, Martin. (2013). Space-Time Methods: Fast Solvers and Applications. 20 indexed citations

11.

Neumüller, Martin & Olaf Steinbach. (2011). Refinement of flexible space–time finite element meshes and discontinuous Galerkin methods. Computing and Visualization in Science. 14(5). 189–205. 16 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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