Marlis Hochbruck

5.0k citations
67 papers · 3.4k indexed · 2 hit papers · h-index 22

Marlis Hochbruck

65 papers receiving 3.1k citations

Hit Papers

Exponential integrators7061997202620062016200400600

Peers

Marlis Hochbruck
Comparison fields: 5 of 86
  • Numerical Analysis 2.4k
  • Computational Theory and Mathematics 1.3k
  • Computational Mechanics 1.3k
  • Modeling and Simulation 234
  • Computational Mathematics 29
Replace Alexander Ostermann with:
Alexander Ostermann Austria
Martin J. Gander Switzerland
J. M. Sanz‐Serna Spain
Valeria Simoncini Italy
Roland W. Freund United States
J. A. C. Weideman South Africa
Arieh Iserles United Kingdom
Howard C. Elman United States
William B. Gragg United States
Avram Sidi Israel
Marlis Hochbruck relative to Alexander Ostermann Austria Alexander Ostermann's profile →
Citations per field
00.5×1.5×
Alexander Ostermann · 1×
Citations per year

Countries citing papers authored by Marlis Hochbruck

Since Specialization
Citations

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

Fields of papers citing papers by Marlis Hochbruck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Marlis Hochbruck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marlis Hochbruck Line = papers co-authored together Marlis Hochbruck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20231
4 202310
5 20222
6 20223
7 20222
8 20213
9 20208
10 20195
11 20179
12 201150
13 20106
14 20093
15 200828
16 20057
17 2004133
18 199517
19
LOOK-AHEAD LEVINSON- AND SCHUR-TYPE RECURRENCES IN THE PAD ET ABLE
19947
20
A CHEBYSHEV-LIKE SEMIITERATION FOR INCONSISTENT LINEAR SYSTEMS
199321

About Marlis Hochbruck

Marlis Hochbruck is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include Numerical methods for differential equations (40 papers), Advanced Numerical Methods in Computational Mathematics (30 papers), Electromagnetic Simulation and Numerical Methods (21 papers), Matrix Theory and Algorithms (20 papers), Differential Equations and Numerical Methods (8 papers), Magnetic confinement fusion research (5 papers), Numerical methods in inverse problems (5 papers) and Laser-Plasma Interactions and Diagnostics (4 papers). The work is most often cited by research in Numerical Analysis (2.4k citations), Computational Theory and Mathematics (1.3k citations) and Computational Mechanics (1.3k citations). Marlis Hochbruck has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Alexander Ostermann, Christian Lubich, Hubert Selhofer, Volker Grimm, Martin H. Gutknecht, Roland W. Freund, Gerhard Starke, Martin Hanke, Ernst Hairer and Arieh Iserles. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and Computer Physics Communications.

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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