Michael Eiermann

1.3k citations
36 papers · 1.0k · h-index 18

Impact in

Papers in

Michael Eiermann

36 papers receiving 889 citations

Peers

Michael Eiermann
Comparison fields: 5 of 66
  • Numerical Analysis 508
  • Computational Theory and Mathematics 730
  • Computational Mathematics 19
  • Applied Mathematics 126
  • Computational Mechanics 208
Replace Miroslav Rozložńık with:
Miroslav Rozložńık Czechia
Ludmil Zikatanov United States
R. S. Martin United Kingdom
A. V. Balakrishnan
Petter E. Bjørstad Norway
Heike Faßbender Germany
B.L. Buzbee United States
Christian Mehl Germany
Walter Zulehner Austria
George E. Trapp United States
Michael Eiermann relative to Miroslav Rozložńık Czechia Miroslav Rozložńık's profile →
Citations per field
00.5×2.6×
Miroslav Rozložńık · 1×
Citations per year

Countries citing papers authored by Michael Eiermann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Eiermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Michael Eiermann, 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 Michael Eiermann Line = papers co-authored together Michael Eiermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006108
2 199395
3 198887
4 198580
5 200177
6 200771
7 200871
8 200066
9 201540
10 201139
11 198937
12 198332
13 199031
14 198925
15 199224
16 199022
17 198421
18
A generalization of the steepest descent method for matrix functions
200818
19
ZEROS AND LOCAL EXTREME POINTS OF FABER POLYNOMIALS ASSOCIATED WITH HYPOCYCLOIDAL DOMAINS
199316
20 20157

About Michael Eiermann

Michael Eiermann is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Electrical and Electronic Engineering, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (19 papers), Advanced Optimization Algorithms Research (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Electromagnetic Scattering and Analysis (5 papers), Electromagnetic Simulation and Numerical Methods (4 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Aluminum Alloy Microstructure Properties (4 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Numerical Analysis (508 citations), Computational Theory and Mathematics (730 citations), Computational Mathematics (19 citations), Applied Mathematics (126 citations) and Computational Mechanics (208 citations). Michael Eiermann has collaborated with scholars based in Germany, United States and Ethiopia. Frequent co-authors include Oliver G. Ernst, Wilhelm Niethammer, R. S. Varga, Stefan Güttel, Ivo Marek, Elisabeth Ullmann, Arnold Neumaier, Richard S. Varga, S. Hartl and Christian Hasse. Their work appears in journals such as Numerische Mathematik, SIAM Journal on Numerical Analysis, Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and Journal of Computational and Applied Mathematics.

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.

Explore authors with similar magnitude of impact