Michael Günther

3.5k citations
130 papers · 1.5k indexed · h-index 20

Michael Günther

120 papers receiving 1.3k citations

Peers

Michael Günther
Comparison fields: 5 of 107
  • Numerical Analysis 452
  • Finance 176
  • Nuclear and High Energy Physics 222
  • Computational Theory and Mathematics 258
  • Computational Mechanics 315
Replace Gunter H. Meyer with:
Gunter H. Meyer United States
J. W. Thomas United States
David Kershaw United States
M. Avellaneda United States
Gang Wei China
Yves Achdou France
Markos A. Katsoulakis United States
Granville Sewell United States
J.G. Blom Netherlands
Jan Prüß Germany
Michael Günther relative to Gunter H. Meyer United States Gunter H. Meyer's profile →
Citations per field
00.5×7.9×
Gunter H. Meyer · 1×
Citations per year

Countries citing papers authored by Michael Günther

Since Specialization
Citations

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

Fields of papers citing papers by Michael Günther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michael Günther, 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 Günther Line = papers co-authored together Michael Günther links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20241
5 20233
6 20231
7 20222
8 20218
9 20211
10 20205
11 20201
12 201712
13
Option pricing with dynamically correlated stochastic interest rate
20152
14
Alternating direction explicit methods for convection diffusion equations
20158
15 20145
16 201416
17
Coupled heat-electromagnetic simulation of inductive charging stations for electric vehicles
20121
18 201280
19 200231
20
Scientific computing in electrical engineering : proceedings of the 3rd International Workshop, August 20-23, 2000, Warnemünde, Germany
20011

About Michael Günther

Michael Günther is a scholar working on Numerical Analysis, Finance and Computational Theory and Mathematics, having authored 130 papers that have together received 1.5k indexed citations. Recurring topics across this work include Numerical methods for differential equations (53 papers), Electromagnetic Simulation and Numerical Methods (24 papers), Stochastic processes and financial applications (18 papers), Advanced Numerical Methods in Computational Mathematics (18 papers), Matrix Theory and Algorithms (18 papers), Model Reduction and Neural Networks (16 papers), Financial Risk and Volatility Modeling (11 papers) and Control and Stability of Dynamical Systems (8 papers). The work is most often cited by research in Numerical Analysis (452 citations), Finance (176 citations) and Nuclear and High Energy Physics (222 citations). Michael Günther has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Matthias Ehrhardt, P. Rentrop, Andreas Bartel, Anne Kværnø, Adrian Sandu, Martin Arnold, Christian Kahl, Uwe Feldmann, Giuseppe Alı̀ and Roland Pulch. Their work appears in journals such as SHILAP Revista de lepidopterología, Physics Letters B 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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