Michael Eiermann

1.3k citations
34 papers · 972 indexed · h-index 17

Impact in

Papers in

Michael Eiermann

34 papers receiving 850 citations

Peers

Michael Eiermann
Comparison fields: 5 of 66
  • Numerical Analysis 482
  • Computational Theory and Mathematics 705
  • Computational Mathematics 18
  • Applied Mathematics 112
  • Computational Mechanics 196
Replace Miroslav Rozložńık with:
Miroslav Rozložńık Czechia
Krešimir Veselić Germany
H. Schwetlick Germany
Alex Townsend United States
Michela Redivo‐Zaglia Italy
Jiguang Sun United States
R. S. Varga United States
I. Koltracht United States
Ludmil Zikatanov United States
Yvan Notay Belgium
Michael Eiermann relative to Miroslav Rozložńık Czechia Miroslav Rozložńık's profile →
Citations per field
00.5×2.7×
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-authorship network

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
#Work
1 20172
2 20157
3 200869
4
A generalization of the steepest descent method for matrix functions
200817
5 200766
6 20025
7 200062
8 19936
9
ZEROS AND LOCAL EXTREME POINTS OF FABER POLYNOMIALS ASSOCIATED WITH HYPOCYCLOIDAL DOMAINS
199316
10 199392
11 199224
12 199029
13 19906
14 198925
15 19893
16 198883
17 198578
18 198416
19 198332
20
Numerische analytische Fortsetzung durch Interpolationsverfahren
19822

About Michael Eiermann

Michael Eiermann is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Algebra and Number Theory, Hardware and Architecture and Statistics, Probability and Uncertainty, having authored 34 papers that have together received 972 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Advanced Optimization Algorithms Research (8 papers), Iterative Methods for Nonlinear Equations (7 papers), Electromagnetic Scattering and Analysis (5 papers), Aluminum Alloy Microstructure Properties (4 papers), Numerical Methods and Algorithms (4 papers), Polynomial and algebraic computation (3 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Numerical Analysis (482 citations), Computational Theory and Mathematics (705 citations), Computational Mathematics (18 citations), Applied Mathematics (112 citations) and Computational Mechanics (196 citations). Michael Eiermann has collaborated with scholars based in Germany, United States and Czechia. 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, Journal of Computational and Applied Mathematics and SIAM Journal on Matrix Analysis and Applications.

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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